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@Article{affolter&al:2010,
Title = {Adaptives Grundwassermanagement in urbanen Gebieten},
Author = {A. Affolter and P. Huggenberger and S. Scheidler and J. Epting},
Journal = {Grundwasser},
Year = {2010},
Month = {jun},
Number = {3},
Pages = {147--161},
Volume = {15},
Doi = {10.1007/s00767-010-0145-6},
Owner = {huber},
Publisher = {Springer Science + Business Media},
Timestamp = {2016.01.22}
}
@Article{aguilera:2016,
Title = {Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data},
Author = {Ana M. Aguilera},
Journal = {{TEST}},
Year = {2016},
Month = {jan},
Number = {1},
Pages = {23--26},
Volume = {25},
Doi = {10.1007/s11749-015-0475-x},
Owner = {huber},
Publisher = {Springer Science + Business Media},
Timestamp = {2016.03.18}
}
@Article{annan:2002,
Title = {GPR --- History, Trends, and Future Developments},
Author = {Annan, A. P.},
Journal = {Subsurface Sensing Technologies and Applications},
Year = {2002},
Note = {10.1023/A:1020657129590},
Pages = {253-270},
Volume = {3},
Abstract = {Ground penetrating radar (GPR) is a relatively new geophysical technique. The last decade has seen major advances and there is an overall sense of the technology reaching a level of maturity. The history of GPR is intertwined with the diverse applications of the technique. GPR has the most extensive set of applications of any geophysical technique. As a result, the spatial scales of applications and the diversity of instrument configurations are extensive. Both the value and the limitations of the method are better understood in the global user community. The goal of this paper is to provide a brief history of the method, a discussion of current trends and give a sense of future developments.},
Doi = {10.1023/A:1020657129590},
File = {original paper:papers\\2002_Annan_GPR-history-trends-future-developments.pdf:PDF},
Groups = {history, review},
ISSN = {1566-0184},
Issue = {4},
Keyword = {Engineering},
Keywords = {GPR},
Owner = {hubere},
Publisher = {Springer Netherlands},
Review = {Très lé?ger. Juste un petit rappel historique de l'utilisation du radar Peut-être utile pour une introduction au GPR},
Timestamp = {2011.03.25}
}
@Article{arcone&al:1998,
Title = {Ground-penetratinng radar reflection profiling of groundwater and bedrock in an area of discontinuous permafrost},
Author = {Steven A. Arcone and Daniel E. Lawson and Allan J. Delaney and Jeffrey C. Strasser and Jodie D. Strasser},
Journal = {Geophysics},
Year = {1998},
Month = {sep},
Number = {5},
Pages = {1573--1584},
Volume = {63},
Doi = {10.1190/1.1444454},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{arscott&al:2002,
Title = {Aquatic Habitat Dynamics along a Braided Alpine River Ecosystem (Tagliamento River, Northeast Italy)},
Author = {Dave B. Arscott and Klement Tockner and Dimitry van der Nat and J. V. Ward},
Journal = {Ecosystems},
Year = {2002},
Month = {dec},
Number = {8},
Pages = {0802--0814},
Volume = {5},
Doi = {10.1007/s10021-002-0192-7},
Owner = {emanuel},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.05.09}
}
@InCollection{arsigny&al:2005,
Title = {Fast and Simple Calculus on Tensors in the Log-Euclidean Framework},
Author = {Arsigny, Vincent and Fillard, Pierre and Pennec, Xavier and Ayache, Nicholas},
Booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I},
Publisher = {Springer Berlin Heidelberg},
Year = {2005},
Address = {Berlin, Heidelberg},
Editor = {Duncan, James S. and Gerig, Guido},
Pages = {115--122},
Doi = {10.1007/11566465_15},
ISBN = {978-3-540-32094-4},
Owner = {huber},
Timestamp = {2016.09.26}
}
@Article{asher&al:2015,
Title = {A review of surrogate models and their application to groundwater modeling},
Author = {Asher, M. J. and Croke, B. F. W. and Jakeman, A. J. and Peeters, L. J. M.},
Journal = {Water Resources Research},
Year = {2015},
Number = {8},
Pages = {5957--5973},
Volume = {51},
Doi = {10.1002/2015WR016967},
ISSN = {1944-7973},
Keywords = {Computational models, algorithms, Numerical algorithms, High-performance computing, Uncertainty quantification, groundwater models, surrogate, meta-models, model emulators},
Owner = {huber},
Timestamp = {2016.01.22}
}
@InCollection{ashmore&gardner:2008,
Title = {Unconfined Confluences in Braided Rivers},
Author = {Ashmore, P. and Gardner, J. T.},
Booktitle = {River Confluences, Tributaries and the Fluvial Network},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2008},
Editor = {Stephen P. Rice and André G. Roy and Bruce L. Rhoads},
Pages = {119--147},
Doi = {10.1002/9780470760383.ch7},
ISBN = {9780470760383},
Keywords = {confluences and dendritic stream networks, braided river unconfined confluences, active confluences and braided-river morphology, confluence-zone morphology, confluence kinetics and bar formation, meander wavelength–discharge relationship, sediment transport and sediment budgets, numerical modelling developments},
Owner = {emanuel},
Timestamp = {2015.05.09}
}
@Article{ashmore&parker:1983,
Title = {Confluence scour in coarse braided streams},
Author = {Ashmore, Peter and Parker, Gary},
Journal = {Water Resources Research},
Year = {1983},
Number = {2},
Pages = {392--402},
Volume = {19},
Abstract = {Laboratory models of a braided valley flat in coarse material were used in conjunction with field data to study confluence scour at braid anabranches. Correct prediction of the depth of scour is required for the design of buried pipeline crossings. Braid pattern and anabranches constantly shift and avulse so that scour holes have definable lifetimes. Although the scatter is large, the depth of water in the scour hole depends on confluence and relative anabranch discharge; this depth can be as high as six times the ambient depths in the anabranches.},
Doi = {10.1029/WR019i002p00392},
ISSN = {1944-7973},
Owner = {hubere},
Timestamp = {2014.05.14}
}
@Article{ashmore:1982,
Title = {Laboratory modelling of gravel braided stream morphology},
Author = {Peter E. Ashmore},
Journal = {Earth Surface Processes and Landforms},
Year = {1982},
Month = {may},
Number = {3},
Pages = {201--225},
Volume = {7},
Doi = {10.1002/esp.3290070301},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{ashmore:1992,
Title = {Secondary flow in anabranch confluences of a braided, gravel--bed stream},
Author = {Ashmore, P. E. and Ferguson, R. I. and Prestegaard, K. L. and Ashworth, P. J. and Paola, C.},
Journal = {Earth Surface Processes and Landforms},
Year = {1992},
Number = {3},
Pages = {299--311},
Volume = {17},
Abstract = {Measurements of the primary and secondary velocity components were made in two, active, braided river anabranch confluences with a simple Y-shaped plan form, in the gravelly Sunwapta River (D50 of approximately 30 mm). Flow velocity was measured at regularly-spaced intervals using a bidirectional electromagnetic current meter and the measured downstream and cross-stream velocities were converted to primary and secondary velocities to yield the secondary circulation. The primary (downstream) velocity field shows two high velocity streams from the two tributaries which merge (and, in some cases, accelerate) into a single high velocity core over the thalweg. Primary flow velocity declines as the flow expands and diverges at the downstream end of the confluence.The secondary circulation is dominated by two helical cells, back-to-back, plunging over the thalweg and diverging at the bed. This is the first confirmation of this flow structure in confluences, based on field measurements. The strength of the secondary cells declines downstream through each confluence, and laterally away from the thalweg area in cross-section. There is also a tendency for one cell, from the larger of the tributaries, to override the other. The secondary and primary flow structure and strength differs slightly between the two confluences and this is reflected in differences in scour hole form.},
Doi = {10.1002/esp.3290170308},
File = {Secondary flow:papers\\1992_ashmore-et-al_secondary-flow.pdf:PDF},
ISSN = {1096-9837},
Keywords = {Braided streams, Confluence, Secondary flow},
Owner = {hubere},
Publisher = {John Wiley \& Sons, Ltd},
Timestamp = {2014.05.14}
}
@Article{ahworth&al:2007,
Title = {The relationship between channel avulsion, flow occupancy and aggradation in braided rivers: insights from an experimental model},
Author = {Philip J. Ashworth and James L. Best and Merren A. Jones},
Journal = {Sedimentology},
Year = {2007},
Month = {jun},
Number = {3},
Pages = {497--513},
Volume = {54},
Doi = {10.1111/j.1365-3091.2006.00845.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{ashworth&al:2011,
Title = {Evolution and sedimentology of a channel fill in the sandy braided South Saskatchewan River and its comparison to the deposits of an adjacent compound bar},
Author = {Philip J. Ashworth and Gregory H. Sambrook Smith and James L. Best and John S. Bridge and Stuart N. Lane and Ian. A. Lunt and Arnold J. H. Reesink and Christopher J. Simpson and Robert E. Thomas},
Journal = {Sedimentology},
Year = {2011},
Month = {may},
Number = {7},
Pages = {1860--1883},
Volume = {58},
Doi = {10.1111/j.1365-3091.2011.01242.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{asprion&aigner:1999,
Title = {Towards realistic aquifer models: three-dimensional georadar surveys of Quaternary gravel deltas (Singen Basin, {SW} Germany)},
Author = {U. Asprion and T. Aigner},
Journal = {Sedimentary Geology},
Year = {1999},
Month = {dec},
Number = {3--4},
Pages = {281--297},
Volume = {129},
Doi = {10.1016/s0037-0738(99)00068-8},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.14}
}
@Article{asprion&aigner:1997,
Title = {Aquifer architecture analysis using ground-penetrating radar: {T}riassic and {Q}uaternary examples ({S}. {G}ermany)},
Author = {U. Asprion and T. Aigner},
Journal = {Environmental Geology},
Year = {1997},
Month = {may},
Number = {1--2},
Pages = {66--75},
Volume = {31},
Doi = {10.1007/s002540050165},
Owner = {emanuel},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.05.14}
}
@Book{avseth&al:2010,
Title = {Quantitative Seismic Interpretation},
Author = {Per Avseth and Tapan Mukerji and Gary Mavko},
Publisher = {Cambridge University Press},
Year = {2010},
ISBN = {978-0-521-81601-7},
Owner = {huber},
Pages = {408},
Timestamp = {2016.05.06}
}
@Article{vanderbaan:2008,
Title = {Time-varying wavelet estimation and deconvolution by kurtosis maximization},
Author = {Mirko van der Baan},
Journal = {Geophysics},
Year = {2008},
Month = {mar},
Number = {2},
Pages = {V11--V18},
Volume = {73},
Doi = {10.1190/1.2831936},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{vanderbaan&fomel:2009,
Title = {Nonstationary phase estimation using regularized local kurtosis maximization},
Author = {Mirko van der Baan and Sergey Fomel},
Journal = {Geophysics},
Year = {2009},
Month = {nov},
Number = {6},
Pages = {A75--A80},
Volume = {74},
Doi = {10.1190/1.3213533},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@InCollection{baddeley:2007,
Title = {Spatial Point Processes and their Applications},
Author = {Baddeley, Adrian and Biriny, Imre and Schneider, Rolf},
Booktitle = {Stochastic Geometry},
Publisher = {Springer Berlin / Heidelberg},
Year = {2007},
Editor = {Wolfgang Weil},
Note = {10.1007/978-3-540-38175-4_1},
Pages = {1-75},
Series = {Lecture Notes in Mathematics},
Volume = {1892},
Groups = {point process},
ISBN = {978-3-540-38174-7},
Keyword = {Mathematics and Statistics}
}
@Book{baddeley&jensen:2004,
Title = {Stereology for Statisticians},
Author = {Baddeley, A. and Vedel Jensen, E.B.},
Publisher = {Chapman and Hall/CRC},
Year = {2004},
ISBN = {9781584884057},
Owner = {emanuel},
Pages = {412},
Timestamp = {2015.05.27}
}
@Article{bakker&hemker:2004,
Title = {Analytic solutions for groundwater whirls in box-shaped, layered anisotropic aquifers},
Author = {Mark Bakker and Kick Hemker},
Journal = {Advances in Water Resources},
Year = {2004},
Number = {11},
Pages = {1075 - 1086},
Volume = {27},
Abstract = {Analytic solutions are derived for flow through an elongated box-shaped aquifer that is bounded on the left, right, top and bottom sides by impermeable boundaries; the head gradient normal to the ends of the box is specified to be constant. The aquifer consists of a number of horizontal layers, each with its own horizontal hydraulic conductivity tensor. When all horizontal conductivities are isotropic, streamlines are straight, but when the horizontal anisotropy is different between layers, streamlines have the shape of spirals. Bundles of spiraling streamlines rotating in the same direction are called groundwater whirls. These groundwater whirls may spread contaminants from the top of an aquifer to the bottom by advection alone. An exact solution for an arbitrary number of layers is derived using a multi-layer approach, which is based on the Dupuit approximation within each layer. The multi-layer solution compares well with an exact three-dimensional solution, which is derived by placing certain restrictions on the variation of the hydraulic conductivity tensor. It is shown that a hypothetical aquifer consisting of three layers may have one, two, or three groundwater whirls; adjacent whirls rotate in opposite directions. Another notable flow pattern is obtained with a four-layer model where one large whirl encloses two smaller ones, all rotating in the same direction. },
Doi = {10.1016/j.advwatres.2004.08.009},
Groups = {mixing},
ISSN = {0309-1708},
Owner = {huber},
Timestamp = {2016.01.28}
}
@Article{barnes:2006,
Title = {Too many seismic attributes?},
Author = {Barnes, Arthur},
Journal = {CSEG RECORDER},
Year = {2006},
Month = {March},
Number = {3},
Pages = {40 -- 45},
Volume = {31},
Abstract = {Are there too many seismic attributes? Their great number and variety is almost overwhelming. How can one decide which ones to use? But it is not as bad as it looks. Throw away all the unnecessary attributes and what is left over is quite manageable.},
File = {original paper:papers\\2006_barnes_too-many-seismic-attributes.pdf:PDF;Emanuel's notes:papers\\2006_barnes_too-many-seismic-attributes.doc:Word},
Groups = {attributes},
Keywords = {seismic attributes},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Article{barnett&preisendorder:1987,
Title = {Origins and Levels of Monthly and Seasonal Forecast Skill for United States Surface Air Temperatures Determined by Canonical Correlation Analysis},
Author = {T. P. Barnett and R. Preisendorfer},
Journal = {Monthly Weather Review},
Year = {1987},
Month = {sep},
Number = {9},
Pages = {1825--1850},
Volume = {115},
Doi = {10.1175/1520-0493(1987)115<1825:oaloma>2.0.co;2},
Owner = {huber},
Publisher = {American Meteorological Society},
Timestamp = {2017.09.24}
}
@Article{batchelor&al:2005,
Title = {A rigorous framework for diffusion tensor calculus},
Author = {Batchelor, P. G. and Moakher, M. and Atkinson, D. and Calamante, F. and Connelly, A.},
Journal = {Magnetic Resonance in Medicine},
Year = {2005},
Number = {1},
Pages = {221--225},
Volume = {53},
Abstract = {In biological tissue, all eigenvalues of the diffusion tensor are assumed to be positive. Calculations in diffusion tensor MRI generally do not take into account this positive definiteness property of the tensor. Here, the space of positive definite tensors is used to construct a framework for diffusion tensor analysis. The method defines a distance function between a pair of tensors and the associated shortest path (geodesic) joining them. From this distance a method for computing tensor means, a new measure of anisotropy, and a method for tensor interpolation are derived. The method is illustrated using simulated and in vivo data. Magn Reson Med 53:221–225, 2005. © 2004 Wiley-Liss, Inc.},
Doi = {10.1002/mrm.20334},
ISSN = {1522-2594},
Keywords = {positive definite, mean of tensors, tensor interpolation, anisotropy},
Owner = {huber},
Publisher = {Wiley Subscription Services, Inc., A Wiley Company},
Timestamp = {2016.07.25}
}
@Article{bayer&al:2011,
Title = {Three-dimensional high resolution fluvio-glacial aquifer analog: Part 1: Field study},
Author = {P. Bayer and P. Huggenberger and P. Renard and A. Comunian},
Journal = {Journal of Hydrology},
Year = {2011},
Number = {1--2},
Pages = {1--9},
Volume = {405},
Abstract = {Summary Describing the complex structures that exist in many sedimentary aquifers is crucial for reliable groundwater flow and transport simulation. However, hardly any aquifer can be inspected in such detail that all decimeter to meter heterogeneity is resolved. Aquifer analogs serve as surrogates to construct models of equivalent heterogeneity, and thus imitate those features relevant for flow or transport processes. Gravel pits found in excavation show excellent sections of the sedimentary sequence and thus offer direct insight into the structural and textural composition of the subsoil. This paper describes an approach to also inspect the third dimension: by mapping during the ongoing excavation it is possible to obtain a three-dimensional representation of the subsurface within a short period of time. A detailed description of a case study is presented and the findings from sedimentological, hydrogeological and geophysical analyses are compared. The gravel pit is located near the town of Herten in southwest Germany, where relatively young unconsolidated fluvio-glacial and fluvial sediments in the Rhine basin are mined. The excavated gravel body is built up by architectural elements typical for braided river deposits. The study generated a high-resolution data set of lithofacies, hydrofacies and ground penetrating radar (GPR) profiles. It represents the basis for a full three-dimensional geostatistical reconstruction presented in the second part (Comunian et al., 2011). },
Doi = {10.1016/j.jhydrol.2011.03.038},
ISSN = {0022-1694},
Keywords = {Aquifer analog},
Owner = {emanuel},
Timestamp = {2015.05.05}
}
@Article{bazen&gerez:2002,
Title = {Systematic methods for the computation of the directional fields and singular points of fingerprints},
Author = {A. M. Bazen and S. H. Gerez},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year = {2002},
Month = {Jul},
Number = {7},
Pages = {905-919},
Volume = {24},
Abstract = {The first subject of the paper is the estimation of a high resolution directional field of fingerprints. Traditional methods are discussed and a method, based on principal component analysis, is proposed. The method not only computes the direction in any pixel location, but its coherence as well. It is proven that this method provides exactly the same results as the "averaged square-gradient method" that is known from literature. Undoubtedly, the existence of a completely different equivalent solution increases the insight into the problem's nature. The second subject of the paper is singular point detection. A very efficient algorithm is proposed that extracts singular points from the high-resolution directional field. The algorithm is based on the Poincare index and provides a consistent binary decision that is not based on postprocessing steps like applying a threshold on a continuous resemblance measure for singular points. Furthermore, a method is presented to estimate the orientation of the extracted singular points. The accuracy of the methods is illustrated by experiments on a live-scanned fingerprint database},
Doi = {10.1109/TPAMI.2002.1017618},
ISSN = {0162-8828},
Keywords = {fingerprint identification;image segmentation;principal component analysis;Poincare index;coherence;consistent binary decision;fingerprint recognition;high-resolution directional field;orientation estimation;principal component analysis;singular point detection;systematic methods;Bifurcation;Classification algorithms;Fingerprint recognition;Partitioning algorithms;Principal component analysis;Shape;Spatial databases},
Owner = {huber},
Timestamp = {2016.07.19}
}
@Book{bear&cheng:2010,
Title = {Modeling Groundwater Flow and Contaminant Transport},
Author = {Jacob Bear and Alexander H.-D. Cheng},
Publisher = {Springer Science + Business Media},
Year = {2010},
Doi = {10.1007/978-1-4020-6682-5},
Owner = {huber},
Timestamp = {2015.11.09}
}
@Article{beaumont:2010,
Title = {Approximate Bayesian Computation in Evolution and Ecology},
Author = {Mark A. Beaumont},
Journal = {Annual Review of Ecology, Evolution, and Systematics},
Year = {2010},
Month = {dec},
Number = {1},
Pages = {379--406},
Volume = {41},
Doi = {10.1146/annurev-ecolsys-102209-144621},
Owner = {huber},
Publisher = {Annual Reviews},
Timestamp = {2017.09.11}
}
@Article{bechtold&al:2009,
Title = {Constraints on the active tectonics of the Friuli/{NW} Slovenia area from {CGPS} measurements and three-dimensional kinematic modeling},
Author = {M. Bechtold and M. Battaglia and D. C. Tanner and D. Zuliani},
Journal = {Journal of Geophysical Research},
Year = {2009},
Number = {B3},
Pages = {B03408},
Volume = {114},
Doi = {10.1029/2008jb005638},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{belina&al:2009,
Title = {Enhancing the vertical resolution of surface georadar data},
Author = {F.A. Belina and B. Dafflon and J. Tronicke and K. Holliger},
Journal = {Journal of Applied Geophysics},
Year = {2009},
Month = {may},
Number = {1},
Pages = {26--35},
Volume = {68},
Doi = {10.1016/j.jappgeo.2008.08.011},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@Book{benn&evans:2010,
Title = {Glaciers and Glaciation},
Author = {Benn, D. I. and Evans, D. J. A},
Publisher = {Hodder Education},
Year = {2010},
Edition = {second},
ISBN = {978 0 340 905791},
Owner = {emanuel},
Pages = {802},
Timestamp = {2015.05.05}
}
@Article{bennett&al:2017,
Title = {The impact of sedimentary anisotropy on solute mixing in stacked scour-pool structures},
Author = {Bennett, Jeremy P. and Haslauer, Claus P. and Cirpka, Olaf A.},
Journal = {Water Resources Research},
Year = {2017},
Number = {4},
Pages = {2813--2832},
Volume = {53},
Doi = {10.1002/2016WR019665},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Book{bennett&glasser:2009,
Title = {Glacial geology: Ice sheets and landforms},
Author = {Bennett, Matthew R. and Glasser, Neil F.},
Publisher = {Wiley-Blackwell},
Year = {2009},
Address = {Chichester, UK},
Edition = {2},
ISBN = {978-0-470-51691-1},
Owner = {emanuel},
Pages = {385},
Timestamp = {2015.05.05}
}
@Article{beres&al:1995,
Title = {Mapping the architecture of glaciofluvial sediments with three-dimensional georadar},
Author = {Beres, M. and Green, A. and Huggenberger, P. and Horstmeyer, H.},
Journal = {Geology},
Year = {1995},
Number = {12},
Pages = {1087--1090},
Volume = {23},
Abstract = {Three-dimensional (3-D) ground-penetrating radar (georadar) mapping offers new opportunities for determining the geometries and facies of surficial sedimentary units. To investigate the potential of this high-resolution technique and at the same time study the architecture of Quaternary glaciofluvial deposits, georadar data have been collected on a dense grid established across a sequence of braided-river gravels and sands in northeastern Switzerland. Results of this survey are striking 3-D images that provide many more details and much more reliable information on the heterogeneities of the shallow underground than are afforded by conventional georadar profile data. Continuous subhorizontal and oblique reflections can be traced throughout vertical sections and horizontal slices of the georadar data block to a depth of (Approx.)15 m. Clearly defined are the dominant flow direction of the ancient braided-river system, the boundaries between different sedimentary facies, and the level of the ground-water table. Trough-fill sediments and subhorizontal channel deposits observed on 7-m-high quarry walls can be followed confidently in the subsurface. The orientation, shape, and size of the troughs and the strike and dip of the cross-bedding are all well resolved.},
Doi = {10.1130/0091-7613(1995)023<1087:MTAOGS>2.3.CO;2},
Groups = {sedimentology, 3D, à la Huggenberger, measurement, Rhine},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Article{beres&haeni:1991,
Title = {Application of Ground-Penetrating-Radar Methods in Hydrogeologie Studies},
Author = {Beres, Milan and Haeni, F. P.},
Journal = {Ground Water},
Year = {1991},
Number = {3},
Pages = {375--386},
Volume = {29},
Doi = {10.1111/j.1745-6584.1991.tb00528.x},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.05.06}
}
@Article{beres&al:1999,
Title = {Using two- and three-dimensional georadar methods to characterize glaciofluvial architecture},
Author = {Milan Beres and Peter Huggenberger and Alan G. Green and Heinrich Horstmeyer},
Journal = {Sedimentary Geology},
Year = {1999},
Number = {1--2},
Pages = {1--24},
Volume = {129},
Abstract = {The threat of pollution in the shallow subsurface has led to an increasing need to understand how complex heterogeneities in gravel aquifers influence groundwater transport. To characterize these heterogeneities, we have conducted extensive two-dimensional (2-D) and three-dimensional (3-D) ground-penetrating radar (GPR or georadar) surveys in two quarries within the Rhine valley of northeastern Switzerland. The quarries comprised gravel and sand deposited in a proglacial braided river system that followed the maximum W?rm-stage glaciation. After the surveys, the terrace walls beneath the two study sites were photographed as they were being excavated. By combining information extracted from the 2- and 3-D georadar images with the outcrop photographs, it was possible to correlate georadar facies with the various glaciofluvial architectural elements. The dominant elements were scour pools formed at or near the confluences of two stream channels and horizontally bedded and massive gravel sheets deposited during moderate to high water flow conditions and exposed during low flow conditions. Architectural elements were generally elongated parallel to the mean flow directions of the ancient river system. Variations in the strike of their long axes reflected lateral and vertical changes in the local flow direction. Time slices showed structural trends not evident on 2-D georadar images and photographs. Data interpretation was quicker, more complete and less ambiguous when georadar facies analyses were based on a combination of georadar vertical profiles and time slices than when based on georadar vertical profiles alone.},
Doi = {10.1016/S0037-0738(99)00053-6},
File = {original paper:papers\\1999_beres-et-al_2D-3D-GPR-glaciofluvial-sediment.pdf:PDF;Emanuel's notes:papers\\1999_beres-et-al_2D-3D-GPR-glaciofluvial-sediment.doc:Word},
Groups = {GPR, CMP, sedimentology, 3D, fluvial sedimentology, à la Huggenberger, measurement, Rhine},
ISSN = {0037-0738},
Keywords = {ground-penetrating radar},
Owner = {hubere},
Timestamp = {2011.05.10}
}
@Article{berkhout:1977,
Title = {Least-square inverse filtering and wavelet deconvolution},
Author = {A. J. Berkhout},
Journal = {Geophysics},
Year = {1977},
Month = {dec},
Number = {7},
Pages = {1369--1383},
Volume = {42},
Doi = {10.1190/1.1440798},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{berkhout&al:1996,
Title = {A statistical adjustment of Haldorsen's conditioned Boolean simulation algorithm},
Author = {Berkhout, Roderik J. and Chessa, Antonio G. and Martinius, Allard W.},
Journal = {Mathematical Geology},
Year = {1996},
Month = {Aug},
Number = {6},
Pages = {791--810},
Volume = {28},
Abstract = {This paper presents a new simulation algorithm for generating realizations of a Boolean model for sandstone reservoirs conditional on sandstone body intersections in wells. It is a statistically corrected version of the conditional simulation algorithm originally proposed by Haldorsen. In previous work it was shown that the conventional algorithm does not reproduce the correct statistics for sandstone body size at the well locations. The simulation of a Boolean model, given grain intersections on line transects, must be in accordance with the conditional distribution of the model, which implies that sandstone bodies intersected by wells and sandstone bodies in the interwell area should be simulated independently. Based on the conditional distribution a simulation algorithm is developed, which is compared to Haldorsen's algorithm by simulating an outcrop section of fluvial sandstone deposits. Simulations are conditioned on data of two fictitious wells. It turns out that the adjusted algorithm gives better results for the sand fraction that is connected to a set of wells, and also for the sand fraction that would be connected to an infill well.},
Day = {01},
Doi = {10.1007/BF02066347},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.03}
}
@InCollection{berthelsen&moller:2006,
Title = {Bayesian Analysis of Markov Point Processes},
Author = {Berthelsen, Kasper K. and M{\o}ller, Jesper},
Booktitle = {Case Studies in Spatial Point Process Modeling},
Publisher = {Springer New York},
Year = {2006},
Address = {New York, NY},
Editor = {Baddeley, Adrian and Gregori, Pablo and Mateu, Jorge and Stoica, Radu and Stoyan, Dietrich},
Pages = {85--97},
Abstract = {Recently M{\o}ller, Pettitt, Berthelsen and Reeves [17] introduced a new MCMC methodology for drawing samples from a posterior distribution when the likelihood function is only specified up to a normalising constant. We illustrate the method in the setting of Bayesian inference for Markov point processes; more specifically we consider a likelihood function given by a Strauss point process with priors imposed on the unknown parameters. The method relies on introducing an auxiliary variable specified by a normalised density which approximates the likelihood well. For the Strauss point process we use a partially ordered Markov point process as the auxiliary variable. As the method requires simulation from the ``unknown'' likelihood, perfect simulation algorithms for spatial point processes become useful.},
Doi = {10.1007/0-387-31144-0_4},
ISBN = {978-0-387-31144-9},
Owner = {huber},
Timestamp = {2017.09.07}
}
@Article{bertoldi&al:2009,
Title = {Understanding reference processes: linkages between river flows, sediment dynamics and vegetated landforms along the Tagliamento River, Italy},
Author = {Walter Bertoldi and Angela Gurnell and Nicola Surian and Klement Tockner and Luca Zanoni and Luca Ziliani and Guido Zolezzi},
Journal = {River Research and Applications},
Year = {2009},
Month = {jun},
Number = {5},
Pages = {501--516},
Volume = {25},
Doi = {10.1002/rra.1233},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{bertoldi&al:2011,
Title = {The topographic signature of vegetation development along a braided river: Results of a combined analysis of airborne lidar, color air photographs, and ground measurements},
Author = {W. Bertoldi and A. M. Gurnell and N. A. Drake},
Journal = {Water Resources Research},
Year = {2011},
Number = {6},
Pages = {na-na},
Volume = {47},
Doi = {10.1029/2010wr010319},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{bertoldi:2005,
Title = {Bed and bank evolution of bifurcating channels},
Author = {Bertoldi, W. and Tubino, M.},
Journal = {Water Resources Research},
Year = {2005},
Number = {7},
Pages = {n/a--n/a},
Volume = {41},
Abstract = {The evolution of natural river channels is strongly affected by the interplay between the altimetric pattern and the planimetric configuration acting contemporary in branches of braided rivers. Very few quantitative observations are presently available to characterize such interactions. In the present contribution we discuss the results of experimental runs performed with both uniform and graded sediments. The experiments were aimed at describing quantitatively the evolution of a single laterally unconstrained channel until the occurrence of the first bifurcation. An objective criterion for the occurrence of the bifurcation has been established using the data provided by the Fourier analysis of the evolving bank profiles; the procedure enabled us to characterize the morphodynamic sequence leading to flow and channel bifurcation. The sought outcome of the investigation is to derive a suitable description of the bifurcation process to be implemented in predictive models for braiding evolution, for which physically based nodal point conditions would be highly desirable.},
Doi = {10.1029/2004WR003333},
File = {Original's paper:papers\\2005_bertoldi-and-tubino_bed-bank-interaction-bifurcating-channel.pdf:PDF},
ISSN = {1944-7973},
Keywords = {bed and channel processes, bifurcation, braided networks, sediment transport, sorting},
Owner = {hubere},
Timestamp = {2013.06.26}
}
@Article{bertoldi:2009b,
Title = {Planform dynamics of braided streams},
Author = {Bertoldi, Walter and Zanoni, Luca and Tubino, Marco},
Journal = {Earth Surface Processes and Landforms},
Year = {2009},
Number = {4},
Pages = {547--557},
Volume = {34},
Abstract = {The high dynamism and complexity of braided networks poses a series of open questions, significant for river restoration and management. The present work is aimed at the characterization of the morphology of braided streams, in order to assess whether the system reaches a steady state under constant flow conditions and, in that case, to determine how it can be described and on which parameters it depends. A series of 14 experimental runs were performed in a laboratory physical model with uniform sand, varying the discharge and the longitudinal slope. Planimetric and altimetric configurations were monitored in order to assess the occurrence of a steady state. A set of parameters was considered, such as the braid-plain width and the number and typology of branches and nodes. Results point out that a relationship exists between braiding morphology and two dimensionless parameters, related to total water discharge and stream power. We found that network complexity increases at higher values of water discharge and a larger portion of branches exhibits morphological activity. Results are then compared to the outputs of a simple one-dimensional model, that allows to easily predict the average network complexity, once the bed topography is known. Model computations permit also the investigation of the effect of water discharge variations and to compare different width definitions. The at-a-station variability of planimetric parameters shows a peculiar behaviour, both regarding number of branches and wetted width. In particular, the analysis of the relationship between width and discharge highlighted relevant differences in comparison to single thread channel. Copyright 2009 John Wiley & Sons, Ltd.},
Doi = {10.1002/esp.1755},
ISSN = {1096-9837},
Keywords = {fluvial morphology, braided rivers, planimetric configuration, laboratory modelling, 1D modelling},
Owner = {hubere},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2013.04.12}
}
@InCollection{best:1993,
Title = {On the interactions between turbulent flow structure, sediment transport and bedform developments: some considerations from recent experimental research},
Author = {Best, J. L.},
Booktitle = {Turbulence: Perspectives on Flow and Sediment Transport},
Publisher = {John Wiley \& Sons, Ltd},
Year = {1993},
Address = {Chichester, UK},
Editor = {Clifford, N. J. and French, J. R. and Hardisty, J.},
Pages = {61-93},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{best&ashworth:1997,
Title = {Scour in large braided rivers and the recognition of sequence stratigraphic boundaries},
Author = {James L. Best and Philip J. Ashworth},
Journal = {Nature},
Year = {1997},
Month = {may},
Number = {6630},
Pages = {275--277},
Volume = {387},
Doi = {10.1038/387275a0},
Owner = {emanuel},
Publisher = {Nature Publishing Group},
Timestamp = {2015.05.09}
}
@InCollection{best&rhoads:2008,
Title = {Sediment Transport, Bed Morphology and the Sedimentology of River Channel Confluences},
Author = {Best, James L. and Rhoads, Bruce L.},
Booktitle = {River Confluences, Tributaries and the Fluvial Network},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2008},
Editor = {Stephen P. Rice and André G. Roy and Bruce L. Rhoads},
Pages = {45--72},
Abstract = {This chapter contains sections titled: * Context * Bed morphology * Sediment transport * Sedimentology * Conclusions * Acknowledgements * References},
Doi = {10.1002/9780470760383.ch4},
ISBN = {9780470760383},
Keywords = {river channel confluences and hydraulic and morphological change, sediment transport, bed morphology and sedimentology, tributary-mouth bars, upstream damming and flooding suppression, spatially variable channel shrinkage, post-confluence mid-channel bars, asymmetrical confluence bedload-transport rates, channel confluence morphology and sedimentology site, river channel confluence sediment-transport characteristics},
Owner = {emanuel},
Timestamp = {2015.05.13}
}
@Article{best&roy:1991,
Title = {Mixing-layer distortion at the confluence of channels of different depth},
Author = {James L. Best and Andr{\'{e}} G. Roy},
Journal = {Nature},
Year = {1991},
Month = {apr},
Number = {6317},
Pages = {411--413},
Volume = {350},
Doi = {10.1038/350411a0},
Owner = {emanuel},
Publisher = {Nature Publishing Group},
Timestamp = {2015.05.09}
}
@InProceedings{bigun:1987,
Title = {G.H.: Optimal orientation detection of linear symmetry},
Author = {Josef Bigun},
Booktitle = {In: Proceedings of the IEEE First International Conference on Computer Vision, London, Great Britain},
Year = {1987},
Pages = {433--438},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{binley&al:2015,
Title = {The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales},
Author = {Binley, Andrew and Hubbard, Susan S. and Huisman, Johan A. and Revil, André and Robinson, David A. and Singha, Kamini and Slater, Lee D.},
Journal = {Water Resources Research},
Year = {2015},
Number = {6},
Pages = {3837--3866},
Volume = {51},
Doi = {10.1002/2015WR017016},
ISSN = {1944-7973},
Keywords = {Hydrogeophysics, Groundwater hydrology, Eco-hydrology, Biogeophysics, hydrogeophysics, biogeophysics},
Owner = {huber},
Timestamp = {2016.07.16}
}
@Article{blum&francois:2009,
Title = {Non-linear regression models for Approximate Bayesian Computation},
Author = {Michael G. B. Blum and Olivier Fran{\c{c}}ois},
Journal = {Statistics and Computing},
Year = {2010},
Month = {mar},
Number = {1},
Pages = {63--73},
Volume = {20},
Doi = {10.1007/s11222-009-9116-0},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2018.07.24},
Url = {https://doi.org/10.1007/s11222-009-9116-0}
}
@Article{bognar:2007,
Title = {Bayesian modeling of continuously marked spatial point patterns},
Author = {Bognar, Matthew A.},
Journal = {Computational Statistics},
Year = {2007},
Month = {Jul},
Number = {3},
Pages = {361--379},
Volume = {23},
Abstract = {Many analyses of continuously marked spatial point patterns assume that the density of points, with differing marks, is identical. However, as noted in the seminal paper of Goulard et al. (Scand J Stat 23:365--379, 1996), such an assumption is not realistic in many situations. For example, a stand of forest may have many more small trees than large, hence the model should allow for a higher density of points with small marks. In addition, as suggested by Ogata and Tanemura (Biometrics 41:421--433, 1985), the interaction between points should be a function of their mark, allowing, for example, the range of interaction for large trees to exceed that of smaller trees. The aforementioned articles use frequentist inferential techniques, but interval estimation presents difficulties due to the extremely complex distributional properties of the estimates; it might be possible, however, to use parametric bootstrap methodology for such inferences (Baddeley et al. in J Roy Stat Soc Ser B 67:617--666, 2005). We suggest the use of Bayesian inferential techniques. Although a Bayesian approach requires a complex, computational implementation of (reversible jump) Markov Chain Monte Carlo methodology, it enables a wide variety of inferences (including interval estimation). We demonstrate our approach by analyzing the well known Norway spruce dataset.},
Day = {25},
Doi = {10.1007/s00180-007-0073-9},
ISSN = {1613-9658},
Owner = {huber},
Timestamp = {2017.09.19}
}
@Article{bognar:2005,
Title = {Bayesian inference for spatially inhomogeneous pairwise interacting point processes},
Author = {Matthew A. Bognar},
Journal = {Computational Statistics {\&} Data Analysis},
Year = {2005},
Month = {apr},
Number = {1},
Pages = {1--18},
Volume = {49},
Doi = {10.1016/j.csda.2004.04.008},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.14}
}
@InProceedings{boisvert&al:2014,
Title = {Conditioning 3D Object Based Models to a Large Number of Wells: A Channel Example},
Author = {Boisvert, Jeff B. and Pyrcz, Michael J.},
Booktitle = {Mathematics of Planet Earth},
Year = {2014},
Address = {Berlin, Heidelberg},
Editor = {Pardo-Ig{\'u}zquiza, Eulogio and Guardiola-Albert, Carolina and Heredia, Javier and Moreno-Merino, Luis and Dur{\'a}n, Juan Jos{\'e} and Vargas-Guzm{\'a}n, Jose Antonio},
Pages = {575--579},
Publisher = {Springer Berlin Heidelberg},
Abstract = {Object based modeling is commonly used for generating facies or rock type models that better reproduce complex realistic geology. A drawback of object based modeling is the difficulty of conditioning to dense data. Object based models have other uses, but their use as training images (TI) has become very prevalent in multiple point simulation (MPS) workflows; however, if the object could be conditioned to dense data, they would be used directly as facies models for complex deposits. The proposed methodology is to consider an object as defined by a set of parameters. Optimization of this object is based on the mismatch with data at the well locations. No gradients are used and any object that can be defined by a finite number of parameters could be conditioned to well data. This does not preclude the use of process based models rather than object based models; in this framework, process based models are more complex, yet fully parametric, models. Four different optimization schemes are reviewed for conditioning. An example of fluvial channels with crevasse splays is presented. Conditioning is considered on dense data up to 100 wells and performs well, requiring seconds to condition.},
ISBN = {978-3-642-32408-6},
Owner = {huber},
Timestamp = {2018.08.03}
}
@Article{boisvert&al:2007,
Title = {Multiple-Point Statistics for Training Image Selection},
Author = {Jeff B. Boisvert and Michael J. Pyrcz and Clayton V. Deutsch},
Journal = {Natural Resources Research},
Year = {2007},
Number = {4},
Pages = {313--321},
Volume = {16},
Doi = {10.1007/s11053-008-9058-9},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2017.06.23}
}
@Article{bond&al:2007,
Title = {What do you think this is? {\textquotedblleft}Conceptual uncertainty{\textquotedblright} in geoscience interpretation},
Author = {C.E. Bond and A.D. Gibbs and Z.K. Shipton and S. Jones},
Journal = {{GSA} Today},
Year = {2007},
Number = {11},
Pages = {4--10},
Volume = {17},
Doi = {10.1130/gsat01711a.1},
Owner = {huber},
Publisher = {Geological Society of America},
Timestamp = {2018.07.19}
}
@Article{bond&al:2012,
Title = {What makes an expert effective at interpreting seismic images?},
Author = {Bond, C. E. and Lunn, R.J. and Shipton, Z.K. and Lunn, A.D.},
Journal = {Geology},
Year = {2012},
Number = {1},
Pages = {75-78},
Volume = {40},
Abstract = {Interpretation of uncertain data is the basis for understanding many Earth processes; in particular, uncertain data underpin much of the world's hydrocarbon exploration and future carbon minimization strategies (CO2 storage and radioactive waste disposal). It is therefore crucial to develop techniques and protocols that will improve geoscientists? interpretational accuracy. We asked 184 academic and industry experts to interpret a typical oil-industry synthetic seismic reflection data set and found that just over one-third got the ?right? answer. Using multivariate analyses we show that interpretational accuracy is significantly improved for experts educated to the level of a Master's degree and/or doctorate (Ph.D.) (regardless of years of experience). Furthermore, although only 18 of 184 experts validated their interpretation by checking geometric and evolutionary feasibility, these experts were almost three times more likely to produce the correct result than those that did not. These results would not have been apparent from traditional detailed expert elicitation studies, as their sample sizes are too small. Our findings strongly suggest that significant improvements in the reliability of interpretations of inherently uncertain geological data sets could be made by increasing the proportion of people recruited into industry and academia who have a Master's or Ph.D. degree, and by changes to industry workflows and quality assurance procedures to explicitly include validation techniques.},
Doi = {10.1130/G32375.1},
Eprint = {http://geology.gsapubs.org/content/40/1/75.full.pdf+html},
File = {Original's paper:papers\\2007_bond-et-al_Conceptual uncertainty in geoscience interpretation.pdf:PDF},
Owner = {emanuel},
Timestamp = {2013.03.09}
}
@Article{boeniger:2010,
Title = {Improving the interpretability of 3D GPR data using target-specific attributes: application to tomb detection},
Author = {U. Böniger and J. Tronicke},
Journal = {Journal of Archaeological Science},
Year = {2010},
Number = {4},
Pages = {672 - 679},
Volume = {37},
Abstract = {Three-dimensional (3D) ground-penetrating radar (GPR) represents an efficient high-resolution geophysical surveying method allowing to explore archaeological sites in a non-destructive manner. To effectively analyze large 3D GPR data sets, their combination with modern visualization techniques (e.g., 3D isoamplitude displays) has been acknowledged to facilitate interpretation beyond classical time-slice analysis. In this study, we focus on the application of data attributes (namely energy, coherency, and similarity), originally developed for petroleum reservoir related problems addressed by reflection seismology, to emphasize temporal and spatial variations within GPR data cubes. Based on two case studies, we illustrate the potential of such attribute based analyses towards a more comprehensive 3D GPR data interpretation. The main goal of both case studies was to localize and potentially characterize tombs inside medieval chapels situated in the state of Brandenburg, Germany. By comparing the calculated data attributes to the conventionally processed data cubes, we demonstrate the superior interpretability of the coherency and the similarity attribute for target identification and characterization.},
Doi = {10.1016/j.jas.2010.01.013},
File = {original paper:papers\\2010_boeniger-et-tronicke_3D-interpretability-archeology.pdf:PDF;Emanuel's notes!:papers\\2010_boeniger-et-tronicke_3D-interpretability-archeology.pdf:Word},
Groups = {GPR, processing, attributes, 3D, archeology},
ISSN = {0305-4403},
Owner = {hubere},
Timestamp = {2011.04.18}
}
@Article{booth&al:2010,
Title = {Semblance response to a ground--penetrating radar wavelet and resulting errors in velocity analysis},
Author = {A.D. Booth and R. Clark and T. Murray},
Journal = {Near Surface Geophysics},
Year = {2010},
Number = {3},
Pages = {235--246},
Volume = {8},
Doi = {10.3997/1873-0604.2010008},
Owner = {emanuel},
Publisher = {{EAGE} Publications},
Timestamp = {2015.05.14}
}
@Article{borghi&al:2015,
Title = {Generation of 3D Spatially Variable Anisotropy for Groundwater Flow Simulations},
Author = {Borghi, Andrea and Renard, Philippe and Courrioux, Gabriel},
Journal = {Groundwater},
Year = {2015},
Number = {6},
Pages = {955--958},
Volume = {53},
Abstract = {Sedimentary units generally present anisotropy in their hydraulic properties, with higher hydraulic conductivity along bedding planes, rather than perpendicular to them. This common property leads to a modeling challenge if the sedimentary structure is folded. In this paper, we show that the gradient of the geological potential used by implicit geological modeling techniques can be used to compute full hydraulic conductivity tensors varying in space according to the geological orientation. For that purpose, the gradient of the potential, a vector normal to the bedding, is used to construct a rotation matrix that allows the estimation of the 3D hydraulic conductivity tensor in a single matrix operation. A synthetic 2D cross section example is used to illustrate the method and show that flow simulations performed in such a folded environment are highly influenced by this rotating anisotropy. When using the proposed method, the streamlines follow very closely the folded formation. This is not the case with an isotropic model.},
Doi = {10.1111/gwat.12295},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2015.11.06}
}
@Article{bradford&al:2009,
Title = {Estimating porosity with ground-penetrating radar reflection tomography: A controlled 3-D experiment at the Boise Hydrogeophysical Research Site},
Author = {Bradford, John H. and Clement, William P. and Barrash, Warren},
Journal = {Water Resources Research},
Year = {2009},
Note = {W00D26},
Number = {4},
Pages = {n/a--n/a},
Volume = {45},
Doi = {10.1029/2008WR006960},
ISSN = {1944-7973},
Keywords = {Instruments and techniques, Groundwater hydrology, Uncertainty assessment, Instruments and techniques: monitoring, GPR, porosity, tomography},
Owner = {huber},
Timestamp = {2016.07.15}
}
@InCollection{bridge:2009,
Title = {Advances in Fluvial Sedimentology using GPR},
Author = {John Bridge},
Booktitle = {Ground Penetrating Radar Theory and Applications },
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Editor = {Jol, Harry M. },
Pages = {323--359},
Doi = {10.1016/B978-0-444-53348-7.00011-9},
ISBN = {978-0-444-53348-7},
Owner = {huber},
Timestamp = {2015.07.24}
}
@InCollection{bridge:1993,
Title = {The interaction between channel geometry, water flow, sediment transport and deposition in braided rivers},
Author = {Bridge, John S.},
Booktitle = {Braided Rivers},
Publisher = {Geological Society, London, Special Publications},
Year = {1993},
Chapter = {The interaction between channel geometry, water flow, sediment transport and deposition in braided rivers},
Editor = {J. L. Best and C. S. Bristow},
Number = {1},
Pages = {13-71},
Volume = {75},
Abstract = {Models of braided-river deposition must be detailed, fully 3D, and preferably quantitative to be of use in understanding and predicting the nature of ancient deposits. In order to construct and validate adequate predictive models it is necessary to have information on: (1) variation and interaction of channel geometry, water flow and sediment transport in time and space in modern channel belts, as these control erosion and deposition, the formation and migration of channels and bars, and channel abandonment and filling; (2) 3D variation of bed geometry, texture, sedimentary structures and paleocurrents throughout modern channel-belt deposits, including the age and spatial arrangement of preserved parts of bars and channel fills; (3) long-term (more than hundreds of years) trends in channel and floodplain geometry, flow and sedimentary processes in order to understand channel-belt movements such as avulsions, and the spatial arrangement of channel-belt deposits relative to overbank deposits. Such information is rare because: (1) it is difficult to study modern braided-river geometry, flow and sedimentary processes throughout a range of the all-important high discharges; (2) detailed reconstructions of braided channel and bar geometry and movement are only available for the past half-century and cannot readily be linked to causative mechanisms; (3) 3D documentation of modern deposits below the water table (especially large scale features like lateral-accretion bedding) requires extensive coring and dating of the deposits, and geophysical profiling. As a result of this lack of information, and because of the quality of analysis and presentation of the information available, existing braided-river facies models are virtually useless as interpretive and predictive tools. The nature of the information available is critically reviewed. Using information from recent detailed field and laboratory studies of the geometry, flow and sedimentary processes in braided rivers of simple geometry, in single river bends, in channel confluences, and using some theoretical reasoning, it has been possible to construct fully 3D qualitative and quantitative models of braided river deposits. These models can be used to provide sophisticated quantitative interpretations of palaeochannel geometry, hydraulics and migration, as illustrated by comparison with some particularly well described examples of ancient braided river deposits.},
Doi = {10.1144/GSL.SP.1993.075.01.02},
Eprint = {http://sp.lyellcollection.org/content/75/1/13.full.pdf+html},
File = {Original's paper:papers\\1993_bridge_interaction-channel-geometry-water-flow-sediment.pdf:PDF},
Groups = {braided river, bedform, concepts, observation},
Journal = {Geological Society, London, Special Publications},
Owner = {hubere},
Timestamp = {2013.06.28}
}
@InCollection{bridge&lunt:2006,
Title = {Depositional Models of Braided Rivers},
Author = {Bridge, John S. and Lunt, Ian A.},
Booktitle = {Braided Rivers},
Publisher = {Blackwell Publishing Ltd.},
Year = {2006},
Chapter = {2},
Editor = {Sambrook Smith, G. H. and Best, J. L. and Bristow, C. S. and Petts, G. E.},
Pages = {11--50},
Abstract = {This chapter contains sections titled: * Introduction * Studies of Modern Braided River Processes and Deposits * Laboratory Studies * Theoretical Studies * New Depositional Models and their Use * Future Challenges * Acknowledgements * References},
Doi = {10.1002/9781444304374.ch2},
ISBN = {9781444304374},
Keywords = {depositional models of braided rivers - for rational interpretation of ancient deposits, braided rivers and their deposits - components of Earth's surface, ground-penetrating radar (GPR) in combination with coring and trenching, modern braided river processes and deposits, ravelly Sagavanirktok River on North Slope of Alaska and Sagavanirktok channel deposits, optically stimulated luminescence (OSL) dating, water flow in Brahmaputra/Jamuna, object-based stochastic models - distributing channel deposits within channel belts, geometry of stratasets to geometry of bedforms and channels},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{brierley&al:2002,
Title = {Application of the River Styles framework as a basis for river management in New South Wales, Australia},
Author = {Brierley, G. and Fryirs, K. and Outhet, D. and Massey, C.},
Journal = {Applied Geography},
Year = {2002},
Number = {1},
Pages = {91--122},
Volume = {22},
Abstract = {If strategies in natural resource management are to ?work with nature?, reliable biophysical baseline data on ecosystem structure and function are required. The River Styles framework provides a geomorphic template upon which spatial and temporal linkages of biophysical processes are assessed within a catchment context. River Styles record river character and behaviour. As the capacity for a river reach to adjust varies for each style, so too do management issues and associated rehabilitation programmes. The framework also provides a basis for assessing geomorphic river condition and recovery potential, framed in terms of the evolutionary pathways of differing River Styles in the period since the European settlement of Australia. Within a catchment context, the River Styles framework provides a unified baseline upon which an array of additional information can be applied, thereby providing a consistent framework for management decision-making. The framework was developed as a research tool by geomorphologists working in collaboration with the New South Wales Department of Land and Water Conservation, which has used it for a range of river management applications. Target conditions for rehabilitation programmes are framed within a catchment vision that integrates understanding of the character, behaviour, condition and recovery potential of each reach. A prioritization procedure determines the most cost-effective and efficient strategies that should be implemented to work towards the catchment vision. In addition, the River Styles framework is being used to identify rare or unusual geomorphic features that should be preserved, assess riparian vegetation patterns and habitat availability along river courses, and derive water licensing, environmental flow and water quality policies that are relevant to river needs in each valley. Based on these principles, representative biomonitoring, benchmarking and auditing procedures are being developed to evaluate river health.},
Doi = {10.1016/S0143-6228(01)00016-9},
File = {original paper:papers\\2002_Brierley-et-al_river-style-framework-application.pdf:PDF;Emanuel's notes:papers\\2002_Brierley-et-al_river-style-framework-application.doc:Word},
Groups = {floodplain, fluvial sedimentology, general, applied},
Keywords = {Australia, Fluvial geomorphology, River management, River rehabilitation, River styles},
Owner = {hubere},
Review = {River Styles? website http://www.riverstyles.com},
Timestamp = {2013.04.23}
}
@Article{brierley:2000,
Title = {River Styles, a Geomorphic Approach to Catchment Characterization: Implications for River Rehabilitation in Bega Catchment, New South Wales, Australia},
Author = {Brierley, Gary J. and Fryirs, Kirstie},
Journal = {Environmental Management},
Year = {2000},
Number = {6},
Pages = {661-679},
Volume = {25},
Abstract = {Analysis of the character and condition of each river style in Bega catchment, and their downstream patterns, are used to provide a biophysical basis to prioritorize river management strategies. These reach-scale strategies are prioritorized within an integrative catchment framework. Conserving near-intact sections of the catchment is the first priority. Second, those parts of the catchment that have natural recovery potential are targeted. Finally, rehabilitation priorities are considered for highly degraded reaches. At these sites, erosion and sedimentation problems may reflect irreversible changes to river structure.},
Doi = {10.1007/s002670010052},
Groups = {floodplain, fluvial sedimentology, general, concepts},
ISSN = {0364-152X},
Keywords = {KEY WORDS: Fluvial geomorphology; Australian rivers; Integrative catchment management; River style; River classification; River conservation; River rehabilitation},
Language = {English},
Owner = {hubere},
Publisher = {Springer-Verlag},
Timestamp = {2013.04.23}
}
@Article{bristow:1993,
Title = {Braided rivers: perspectives and problems},
Author = {Bristow, C. S. and Best, J. L.},
Journal = {Geological Society, London, Special Publications},
Year = {1993},
Number = {1},
Pages = {1-11},
Volume = {75},
Abstract = {Progress towards a fuller understanding of the dynamics and deposits of braided rivers demands an interdisciplinary approach to a host of unresolved problems. Although many advances have been made within recent years in interpreting the mechanics of flow, transport of sediment and sedimentary architecture of braided rivers many key issues remain to be addressed. In particular, several areas demand attention: the mechanisms of braid bar initiation; confluence-diffluence dynamics, the nature of sedimentary facies over a range of grain sizes and the influence of flow stage and aggradational regime upon the depositional architecture over a range of channel scales. This paper focuses upon these issues and highlights several areas of fruitful future interdisciplinary collaboration.},
Doi = {10.1144/GSL.SP.1993.075.01.01},
File = {original paper:papers\\1993_bristow-and-best_braided-rivers-perspectives-and-problems.pdf:PDF;Emanuel's notes:papers\\1993_bristow-and-best_braided-rivers-perspectives-and-problems.doc:Word},
Groups = {fluvial sedimentology, sedimentological model, confluence, braided river, bifurcation, bedform, concepts},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@InCollection{bristow&al:1993,
Title = {Morphology and Facies Models of Channel Confluences},
Author = {C. S. Bristow and J. L. Best and A. G. Roy},
Booktitle = {Alluvial Sedimentation},
Publisher = {Blackwell Publishing Ltd.},
Year = {1993},
Editor = {M. Marzo and C. Puigdefabregas},
Month = {sep},
Pages = {89--100},
Doi = {10.1002/9781444303995.ch8},
Owner = {emanuel},
Timestamp = {2015.05.09}
}
@Article{bristow&jol:2003,
Title = {An introduction to ground penetrating radar ({GPR}) in sediments},
Author = {Bristow, Charlie S. and Jol, Harry M.},
Journal = {Geological Society, London, Special Publications},
Year = {2003},
Number = {1},
Pages = {1-7},
Volume = {211},
Doi = {10.1144/GSL.SP.2001.211.01.01},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{brochu&marcotte:2003,
Title = {A Simple Approach to Account for Radial Flow and Boundary Conditions When Kriging Hydraulic Head Fields for Confined Aquifers},
Author = {Brochu, Y. and Marcotte, D.},
Journal = {Mathematical Geology},
Year = {2003},
Number = {2},
Pages = {111--139},
Volume = {35},
Abstract = {The estimation and mapping of realistic hydraulic head fields, hence of flow paths, is a major goal of many hydrogeological studies. The most widely used method to obtain reliable head fields is the inverse approach. This approach relies on the numerical approximation of the flow equation and requires specifying boundary conditions and the transmissivity of each grid element. Boundary conditions are often unknown or poorly known, yet they impose a strong signature on the head fields obtained by inverse analysis. A simpler alternative to the inverse approach is the direct kriging of the head field using the measurements obtained at observation wells. The kriging must be modified to incorporate the available information. Use of the dual kriging formalism enables simultaneously estimating the head field, the aquifer mean transmissivity, and the regional hydraulic gradient from head data in steady or transient state conditions. In transient state conditions, an estimate of the storage coefficient can be obtained. We test the approach on simple analytical cases, on synthetic cases with solutions obtained numerically using a finite element flow simulator, and on a real aquifer. For homogeneous aquifers, infinite or bounded, the kriging estimate retrieves the exact solution of the head field, the exact hydrogeological parameters and the flow net. With heterogeneous aquifers, kriging accurately estimates the head field with prediction errors of the same magnitude as typical head measurement errors. The transmissivities are also accurately estimated by kriging. Moreover, if inversion is required, the kriged head along boundaries can be used as realistic boundary conditions for flow simulation.},
Doi = {10.1023/A:1023231404211},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2016.02.05}
}
@InBook{brox&al:2006b,
Title = {Adaptive Structure Tensors and their Applications},
Author = {Brox, Thomas and van den Boomgaard, Rein and Lauze, Fran{\c{c}}ois and van de Weijer, Joost and Weickert, Joachim and Mr{\'a}zek, Pavel and Kornprobst, Pierre},
Editor = {Weickert, Joachim and Hagen, Hans},
Pages = {17--47},
Publisher = {Springer Berlin Heidelberg},
Year = {2006},
Address = {Berlin, Heidelberg},
Booktitle = {Visualization and Processing of Tensor Fields},
Doi = {10.1007/3-540-31272-2_2},
ISBN = {978-3-540-31272-7},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{brox&al:2006,
Title = {Nonlinear structure tensors },
Author = {Thomas Brox and Joachim Weickert and Bernhard Burgeth and Pavel Mrázek},
Journal = {Image and Vision Computing },
Year = {2006},
Number = {1},
Pages = {41 - 55},
Volume = {24},
Abstract = {In this article, we introduce nonlinear versions of the popular structure tensor, also known as second moment matrix. These nonlinear structure tensors replace the Gaussian smoothing of the classical structure tensor by discontinuity-preserving nonlinear diffusions. While nonlinear diffusion is a well-established tool for scalar and vector-valued data, it has not often been used for tensor images so far. Two types of nonlinear diffusion processes for tensor data are studied: an isotropic one with a scalar-valued diffusivity, and its anisotropic counterpart with a diffusion tensor. We prove that these schemes preserve the positive semidefiniteness of a matrix field and are, therefore, appropriate for smoothing structure tensor fields. The use of diffusivity functions of total variation (TV) type allows us to construct nonlinear structure tensors without specifying additional parameters compared to the conventional structure tensor. The performance of nonlinear structure tensors is demonstrated in three fields where the classic structure tensor is frequently used: orientation estimation, optic flow computation, and corner detection. In all these cases, the nonlinear structure tensors demonstrate their superiority over the classical linear one. Our experiments also show that for corner detection based on nonlinear structure tensors, anisotropic nonlinear tensors give the most precise localisation. },
Doi = {10.1016/j.imavis.2005.09.010},
ISSN = {0262-8856},
Keywords = {Structure tensor},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{brun&al:2001,
Title = {Practical identifiability analysis of large environmental simulation models},
Author = {Roland Brun and Peter Reichert and Hans R. K\"{u}nsch},
Journal = {Water Resources Research},
Year = {2001},
Number = {4},
Pages = {1015-1030},
Volume = {37},
Abstract = {Large environmental simulation models are usually overparameterized with respect to given sets of observations. This results in poorly identifiable or nonidentifiable model parameters. For small models, plots of sensitivity functions have proven to be useful for the analysis of parameter identifiability. For models with many parameters, however, near‐linear dependence of sensitivity functions can no longer be assessed graphically. In this paper a systematic approach for tackling the parameter identifiability problem of large models based on local sensitivity analysis is presented. The calculation of two identifiability measures that are easy to handle and interpret is suggested. The first accounts for the sensitivity of model results to single parameters, and the second accounts for the degree of near‐linear dependence of sensitivity functions of parameter subsets. It is shown how these measures provide identifiability diagnosis for parameter subsets, how they are able to guide the selection of identifiable parameter subsets for parameter estimation, and how they facilitate the interpretation of the correlation matrix of the parameter estimate with respect to parameter identifiability. In addition, we show how potential bias of the parameter estimates, due to a priori fixing of some of the parameters, can be analyzed. Finally, two case studies are presented in order to illustrate the suggested approach.},
Doi = {10.1029/2000WR900350}
}
@Article{brunner&al:2009,
Title = {Hydrogeologic controls on disconnection between surface water and groundwater},
Author = {Brunner, Philip and Cook, Peter G. and Simmons, Craig T.},
Journal = {Water Resources Research},
Year = {2009},
Note = {W01422},
Number = {1},
Pages = {n/a--n/a},
Volume = {45},
Doi = {10.1029/2008WR006953},
ISSN = {1944-7973},
Keywords = {Groundwater/surface water interaction, Modeling, Vadose zone, Estimation and forecasting, surface water–groundwater interactions, disconnection, losing streams, stream leakage, stream depletion},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{bryant&al:1995,
Title = {Experimental study of avulsion frequency and rate of deposition},
Author = {Madeline Bryant and Peter Falk and Chris Paola},
Journal = {Geology},
Year = {1995},
Number = {4},
Pages = {365},
Volume = {23},
Doi = {10.1130/0091-7613(1995)023<0365:esoafa>2.3.co;2},
Owner = {emanuel},
Publisher = {Geological Society of America},
Timestamp = {2015.05.09}
}
@Article{burrato&al:2008,
Title = {Sources of Mw 5$+$ earthquakes in northeastern Italy and western Slovenia: An updated view based on geological and seismological evidence},
Author = {Pierfrancesco Burrato and Maria Eliana Poli and Paola Vannoli and Adriano Zanferrari and Roberto Basili and Fabrizio Galadini},
Journal = {Tectonophysics},
Year = {2008},
Month = {jun},
Number = {1--4},
Pages = {157--176},
Volume = {453},
Doi = {10.1016/j.tecto.2007.07.009},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08}
}
@InBook{burrough:2008,
Title = {Spatial Data Templates: Combining Simple Models of Physical Processes with Stochastic Noise to Yield Stable, Archetypal Landforms},
Author = {Burrough, Peter A.},
Chapter = {12},
Editor = {Poppe de Boer and George Postma and Kees van der Zwan and Peter Burgess and Peter Kukla},
Pages = {275--286},
Publisher = {Wiley-Blackwell},
Year = {2009},
Abstract = {This chapter contains sections titled: * Introduction * Generic Tools for Modelling Hydrological and Geomorphological Processes: The Spatial Data Template * A Simple, Spatial Data Template - The Quincunx * A Cellular Automatonmodel of the Quincunx * Using the Quincunx to Model Erosion and Sedimentation * Some Simple Experiments of Fan Generation and their Results * Discussion and Conclusions * References},
Booktitle = {Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction},
Doi = {10.1002/9781444303131.ch12},
File = {original paper:papers\\2008_burrough_landform-modelling-simple-process-with-noise.pdf:PDF;Emanuel's notes:papers\\2008_burrough_landform-modelling-simple-process-with-noise.doc:Word},
Groups = {modelling, cellular automata, landscape modelling, epistemology},
ISBN = {9781444303131},
Keywords = {Geocomputation, sedimentary landscape modelling, stochastic processes, Quincunx, cellular automata},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@InProceedings{caers:2012,
Title = {On internal consistency, conditioning and models of uncertainty},
Author = {Jef Caers},
Booktitle = {Ninth International Geostatistics Congress, Oslo, Norway June 11 -- 15},
Year = {2012},
Owner = {huber},
Timestamp = {2016.05.06}
}
@Book{caers:2005,
Title = {Petroleum Geostatistics},
Author = {Jef Caers},
Publisher = {Society of Petroleum Engineers},
Year = {2005},
Series = {SPE Interdisciplinary Primer Series},
ISBN = {978-1-55563-106-2},
Owner = {huber},
Pages = {104},
Timestamp = {2016.05.06}
}
@Article{cai&al:2014,
Title = {An adaptive noise attenuation method for edge and amplitude preservation},
Author = {Cai, Han-Peng and He, Zhen-Hua and Li, Ya-Lin and He, Guang-Ming and Zou, Wen and Zhang, Dong-Jun and Liu, Pu},
Journal = {Applied Geophysics},
Year = {2014},
Number = {3},
Pages = {289--300},
Volume = {11},
Abstract = {Noise intensity distributed in seismic data varies with different frequencies or frequency bands; thus, noise attenuation on the full-frequency band affects the dynamic properties of the seismic reflection signal and the subsequent seismic data interpretation, reservoir description, hydrocarbon detection, etc. Hence, we propose an adaptive noise attenuation method for edge and amplitude preservation, wherein the wavelet packet transform is used to decompose the full-band seismic signal into multiband data and then process these data using nonlinear anisotropic dip-oriented edge-preserving filtering. In the filtering, the calculated diffusion tensor from the structure tensor can be exploited to establish the direction of smoothing. In addition, the fault confidence measure and discontinuity operator can be used to preserve the structural and stratigraphic discontinuities and edges, and the decorrelation criteria can be used to establish the number of iterations. These parameters can minimize the intervention and subjectivity of the interpreter, and simplify the application of the proposed method. We applied the proposed method to synthetic and real 3D marine seismic data. We found that the proposed method could be used to attenuate noise in seismic data while preserving the effective discontinuity information and amplitude characteristics in seismic reflection waves, providing high-quality data for interpretation and analysis such as high-resolution processing, attribute analysis, and inversion.},
Doi = {10.1007/s11770-014-0446-0},
ISSN = {1993-0658},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{calver:2001,
Title = {Riverbed Permeabilities: Information from Pooled Data},
Author = {Calver, Ann},
Journal = {Ground Water},
Year = {2001},
Number = {4},
Pages = {546--553},
Volume = {39},
Doi = {10.1111/j.1745-6584.2001.tb02343.x},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.01.22}
}
@Article{cannon&hsieh:2008,
Title = {Robust nonlinear canonical correlation analysis: application to seasonal climate forecasting},
Author = {Cannon, A. J. and Hsieh, W. W.},
Journal = {Nonlinear Processes in Geophysics},
Year = {2008},
Number = {1},
Pages = {221--232},
Volume = {15},
Doi = {10.5194/npg-15-221-2008},
Owner = {huber},
Timestamp = {2017.09.24}
}
@InProceedings{chahine&al:2009,
Title = {Blind deconvolution via independent component analysis for thin-pavement thickness estimation using {GPR}},
Author = {Chahine, K. and Baltazart, V. and Derobert, X. and Yide Wang},
Booktitle = {Radar Conference - Surveillance for a Safer World, 2009. RADAR. International},
Year = {2009},
Month = {Oct},
Pages = {1--5},
Abstract = {Blind deconvolution of sparse spikes is a well-known problem in the fields of seismic exploration and ultrasonic nondestructive testing. In measuring thin layer thickness of asphalt pavements using GPR, a similar problem arises; the sparse reflectivity series representing the layered structure of the pavement convolved with the radar wavelet results in masking closely spaced reflections. A successful deconvolution retrieves the reflectivity series and thus improves the time resolution and facilitates quantitative data interpretation. In this paper, we cast the convolutional model as a multidimensional data model which renders blind deconvolution via independent component analysis (ICA) possible. We use a nonlinearity related to the double exponential density whose heavy-tailed nature provides further insight into the sparse nature of the reflectivity series. The method is tested on synthetic and real GPR data from a thin PVC slab. The results attest to the accuracy of the time delay estimates and verify the high resolution of the proposed approach.},
Keywords = {deconvolution;ground penetrating radar;independent component analysis;nondestructive testing;radar signal processing;GPR;PVC slab;blind deconvolution;ground penetrating radar;independent component analysis;radar wavelet;seismic exploration;sparse reflectivity series;sparse spikes;thin-pavement thickness estimation;ultrasonic nondestructive testing;Asphalt;Deconvolution;Ground penetrating radar;Independent component analysis;Nondestructive testing;Radar measurements;Reflectivity;Seismic measurements;Thickness measurement;Ultrasonic variables measurement;nondestructive testing;reflectivity series;sparsity;time delay estimation;time resolution},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{chen&chow:2007,
Title = {Ground penetrating radar signal processing improves mapping accuracy of underground voids and seawater table: an application in deteriorating coastal structure, {N}anfangao {P}ort, {T}aiwan},
Author = {Yun-Li Chen and Joseph Jinder Chow},
Journal = {Environmental Geology},
Year = {2007},
Month = {feb},
Number = {2},
Pages = {445--455},
Volume = {53},
Doi = {10.1007/s00254-007-0660-7},
Owner = {emanuel},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.05.28}
}
@Article{chessa:2006,
Title = {Comment on "A Markov Chain Model for Subsurface Characterization: Theory and Applications" by A. Elfeki and M. Dekking},
Author = {Chessa, Antonio G.},
Journal = {Mathematical Geology},
Year = {2006},
Month = {May},
Number = {4},
Pages = {503--505},
Volume = {38},
Day = {01},
Doi = {10.1007/s11004-006-9037-9},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.03}
}
@Book{chiles&delfiner:2012,
Title = {Geostatistics: Modeling Spatial Uncertainty},
Author = {Chilès, Jean-Paul and Delfiner, Pierre},
Publisher = {John Wiley \& Sons, Inc.},
Year = {2008},
Abstract = {The prelims comprise: * Introduction * Notations and Assumptions * Kriging with a Known Mean * Kriging with an Unknown Mean * Estimation of a Spatial Average * Selection of a Kriging Neighborhood * Measurement Errors and Outliers * Case Study: The Channel Tunnel * Kriging under Inequality Constraints},
Booktitle = {Geostatistics},
Doi = {10.1002/9780470316993.ch3},
ISBN = {9780470316993},
Keywords = {numerical simulation, geostatistics, linear functions, kriging, forecasting},
Owner = {emanuel},
Pages = {150--230},
Timestamp = {2013.03.12}
}
@Article{chiogna&al:2015,
Title = {Helical flow in three-dimensional nonstationary anisotropic heterogeneous porous media},
Author = {Chiogna, Gabriele and Cirpka, Olaf A. and Rolle, Massimo and Bellin, Alberto},
Journal = {Water Resources Research},
Year = {2015},
Number = {1},
Pages = {261--280},
Volume = {51},
Doi = {10.1002/2014WR015330},
ISSN = {1944-7973},
Keywords = {Groundwater hydraulics, Groundwater transport, Stochastic hydrology, Numerical approximations and analysis, topology, helicity, stretching, folding, nonstationarity, anisotropic correlation structure},
Owner = {huber},
Timestamp = {2016.02.29}
}
@Article{chiogna&al:2014,
Title = {Helicity and flow topology in three-dimensional anisotropic porous media },
Author = {Gabriele Chiogna and Massimo Rolle and Alberto Bellin and Olaf A. Cirpka},
Journal = {Advances in Water Resources },
Year = {2014},
Pages = {134 - 143},
Volume = {73},
Abstract = {Abstract Flows showing complex topology are ubiquitous in natural systems. However, contrasting evidence exists on the helical nature of flow in porous media and on the occurrence of groundwater whirls. We analyze the topology of steady-state flow fields in porous media, highlighting the importance of considering the three-dimensionality of the flow field to properly capture the complexity of the system dynamics controlling the deformation of material surfaces, which is widely recognized as the main driver of mixing. We use the helicity density as topological measure and investigate the necessary and sufficient conditions to obtain non-zero helicity density for Darcy flow. We show that helical groundwater flow can develop in both homogeneous and heterogeneous porous media, provided that the hydraulic conductivity is anisotropic. In the homogeneous case, the additional condition of non-vanishing mixed second spatial derivatives of hydraulic head is required, while in heterogeneous media, helical flow may occur even when the hydraulic gradient is uniform. We present illustrative examples of complex flow topology in three-dimensional porous media and discuss the computed streamline patterns and their potential implications for mixing processes. },
Doi = {10.1016/j.advwatres.2014.06.017},
ISSN = {0309-1708},
Keywords = {Helicity},
Owner = {huber},
Timestamp = {2015.11.23}
}
@Article{church:2002,
Title = {Geomorphic thresholds in riverine landscapes},
Author = {Michael Church},
Journal = {Freshwater Biology},
Year = {2002},
Month = {apr},
Number = {4},
Pages = {541--557},
Volume = {47},
Doi = {10.1046/j.1365-2427.2002.00919.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{cirpka&al:2015,
Title = {Transverse mixing in three-dimensional nonstationary anisotropic heterogeneous porous media},
Author = {Cirpka, Olaf A. and Chiogna, Gabriele and Rolle, Massimo and Bellin, Alberto},
Journal = {Water Resources Research},
Year = {2015},
Number = {1},
Pages = {241--260},
Volume = {51},
Doi = {10.1002/2014WR015331},
Groups = {mixing},
ISSN = {1944-7973},
Keywords = {Groundwater transport, Stochastic hydrology, Groundwater hydraulics, Numerical approximations and analysis, nonstationarity, anisotropic correlation structure, secondary motion, mixing, dilution},
Owner = {huber},
Timestamp = {2016.01.27}
}
@Article{cirpka&kitadinis:2000,
Title = {Characterization of mixing and dilution in heterogeneous aquifers by means of local temporal moments},
Author = {Cirpka, Olaf A. and Kitanidis, Peter K.},
Journal = {Water Resources Research},
Year = {2000},
Number = {5},
Pages = {1221--1236},
Volume = {36},
Doi = {10.1029/1999WR900354},
ISSN = {1944-7973},
Keywords = {1829 Groundwater hydrology, 1832 Groundwater transport, 1869 Stochastic hydrology},
Language = {en},
Owner = {huber},
Timestamp = {2016.10.21},
Urldate = {2015-11-04}
}
@Book{clearbout:1985,
Title = {Fundamentals of Geophysical Data Processing},
Author = {Claerbout, J.F.},
Publisher = {Blackwell},
Year = {1985},
Address = {Oxford, UK},
Month = {Jan},
Abstractnote = {The 274-page Fundamentals of Geophysical Data Processing is about the use of computer programs for analysis of geophysical data to help determine the constitution of the earth’s interior. This process enables a geophysicist to locate petroleum and mineral prospects. Contents include: Transforms; On-side functions; Spectral factorization; Resolution; Matrices and multichannel time series; Data modeling by least squares; Waveform application of least squares; Layers revealed by scattered wave filtering; Mathematical physics in stratified media; Initial-value problems in two and three dimensions and seismic data processing with the wave equation.},
Owner = {emanuel},
Place = {United States},
Timestamp = {2015.06.01}
}
@Article{colombera&al:2013,
Title = {A quantitative approach to fluvial facies models: Methods and example results},
Author = {Colombera, Luca and Mountney, Nigel P. and McCaffrey, William D.},
Journal = {Sedimentology},
Year = {2013},
Number = {6},
Pages = {1526--1558},
Volume = {60},
Abstract = {Traditional facies models lack quantitative information concerning sedimentological features: this significantly limits their value as references for comparison and guides to interpretation and subsurface prediction. This paper aims to demonstrate how a database methodology can be used to generate quantitative facies models for fluvial depositional systems. This approach is employed to generate a range of models, comprising sets of quantitative information on proportions, geometries, spatial relations and grain sizes of genetic units belonging to three different scales of observation (depositional elements, architectural elements and facies units). The method involves a sequential application of filters to the knowledge base that allows only database case studies that developed under appropriate boundary conditions to contribute to any particular model. Specific example facies models are presented for fluvial environmental types categorized on channel pattern, basin climatic regime and water-discharge regime; the common adoption of these environmental types allows a straightforward comparison with existing qualitative models. The models presented here relate to: (i) the large-scale architecture of single-thread and braided river systems; (ii) meandering sub-humid perennial systems; (iii) the intermediate-scale and small-scale architecture of dryland, braided ephemeral systems; (iv) the small-scale architecture of sandy meandering systems; and (v) individual architectural features of a specific sedimentary environment (a terminal fluvial system) and its sub-environments (architectural elements). Although the quantification of architectural properties represents the main advantage over qualitative facies models, other improvements include the capacity: (i) to model on different scales of interest; (ii) to categorize the model on a variety of environmental classes; (iii) to perform an objective synthesis of many real-world case studies; (iv) to include variability-related and knowledge-related uncertainty in the model; and (v) to assess the role of preservation potential by comparing ancient-system and modern-system data input to the model.},
Doi = {10.1111/sed.12050},
ISSN = {1365-3091},
Keywords = {Basin climate, channel pattern, discharge regime, facies models, fluvial architecture, quantitative sedimentology},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{comunian&al:2011,
Title = {Three-dimensional high resolution fluvio-glacial aquifer analog – Part 2: Geostatistical modeling },
Author = {A. Comunian and P. Renard and J. Straubhaar and P. Bayer},
Journal = {Journal of Hydrology },
Year = {2011},
Number = {1–2},
Pages = {10 - 23},
Volume = {405},
Abstract = {Summary The heterogeneity of sedimentary structures at the decimeter scale is crucial to the understanding of groundwater flow and transport. In a series of two papers, we provide a detailed analysis of a fluvio-glacial aquifer analog: the Herten site. The geological data along a series of 2D sections in a quarry, the corresponding \{GPR\} measurements, and their sedimentological interpretation are described in the companion paper. In this paper, we focus on the three-dimensional reconstruction of the heterogeneity. The resulting numerical model is provided as an electronic supplementary material for further studies. Furthermore, the geostatistical parameters derived from this analysis and the methodology described in the paper could be used in the future for the simulation of similar deposits where less data would be available. To build the 3D model, we propose a hierarchical simulation method which integrates various geostatistical techniques. First, we model the subdivision of the domain into regions corresponding to main sedimentological structures (e.g. a sedimentation event). Within these volumes, we use multiple-point statistics to describe the internal heterogeneity. What is unusual here is that we do not try to use a complex training image for the multiple-point algorithm accounting for all the non-stationarity and complexity, but instead use a simple conceptual model of heterogeneity (ellipsoidal shapes as a training image) and constrain the multiple point simulations within the regions by a detailed interpolation of orientation data derived from the 2D sections. This method produces realistic geological structures. The analysis of the flow and transport properties (hydraulic conductivity and tracer breakthrough curves) of the resulting model shows that it is closer to the properties estimated directly from the 2D geological observations rather than those estimated from a model of heterogeneity based on probability of transitions and not including the modeling of the large-scale structures. },
Doi = {10.1016/j.jhydrol.2011.03.037},
ISSN = {0022-1694},
Keywords = {Multiple-point statistics},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{cook&al:2014,
Title = {River gorge eradication by downstream sweep erosion},
Author = {Kristen L. Cook and Jens M. Turowski and Niels Hovius},
Journal = {Nature Geoscience},
Year = {2014},
Month = {aug},
Number = {9},
Pages = {682--686},
Volume = {7},
Doi = {10.1038/ngeo2224},
Owner = {emanuel},
Publisher = {Nature Publishing Group},
Timestamp = {2015.05.09}
}
@Article{cooley:2000,
Title = {An analysis of the pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields},
Author = {Richard L. Cooley},
Journal = {Water Resources Research},
Year = {2000},
Month = {apr},
Number = {4},
Pages = {1159--1163},
Volume = {36},
Doi = {10.1029/2000wr900008},
Owner = {hubere},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{cressie&al:2009,
Title = {Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling},
Author = {Cressie, Noel and Calder, Catherine A. and Clark, James S. and Hoef, Jay M. Ver and Wikle, Christopher K.},
Journal = {Ecological Applications},
Year = {2009},
Number = {3},
Pages = {553--570},
Volume = {19},
Doi = {10.1890/07-0744.1},
ISSN = {1939-5582},
Keywords = {Bayesian modeling, data model, design, empirical Bayes, harbor seals, MCMC, prior, process model, spatial procss, spatiotemporal process},
Owner = {huber},
Publisher = {Ecological Society of America},
Timestamp = {2018.05.18}
}
@Book{cucchi:2009,
Title = {Geositi del Friuli Venezia Giulia},
Author = {Cucchi, F. and Finocchiaro, F.},
Publisher = {Universit{\`a} degli studi},
Year = {2009},
File = {orginal book:papers\\2009_cucchi-et-al_geositi-del-Friuli-Venezia-Giulia.pdf:PDF},
Groups = {Friuli, case study, Tagliamento},
Owner = {hubere},
Timestamp = {2013.05.02}
}
@Booklet{cucchi&al:2010,
Title = {Geositi del Friuli Venezia Giulia},
Author = {Cucchi, F. and Finocchiaro, F. and Muscio, G.},
Note = {Regione Autonoma Friuli Venezia Giulia},
Year = {2010},
LastChecked = {16th April 2015},
Owner = {emanuel},
Timestamp = {2015.05.08}
}
@Article{vandamm&schlager:2000,
Title = {Identifying causes of ground-penetrating radar reflections using time-domain reflectometry and sedimentological analyses},
Author = {Remke L. Van Dam and Wolfgang Schlager},
Journal = {Sedimentology},
Year = {2000},
Month = {apr},
Number = {2},
Pages = {435--449},
Volume = {47},
Doi = {10.1046/j.1365-3091.2000.00304.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.14}
}
@Book{daniels:2004,
Title = {Ground Penetrating Radar (2nd Edition)},
Author = {Daniels, David J},
Editor = {Daniels, David J},
Publisher = {Institution of Engineering and Technology},
Year = {2004},
ISBN = {9780863413605},
Owner = {hubere},
Timestamp = {2014.11.14}
}
@Article{deloffre&al:2007,
Title = {Sedimentation on intertidal mudflats in the lower part of macrotidal estuaries: Sedimentation rhythms and their preservation},
Author = {J. Deloffre and R. Verney and R. Lafite and P. Lesueur and S. Lesourd and A.B. Cundy},
Journal = {Marine Geology},
Year = {2007},
Month = {jun},
Number = {1-4},
Pages = {19--32},
Volume = {241},
Doi = {10.1016/j.margeo.2007.02.011},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.14}
}
@Article{demissie&al:2015,
Title = {Parameter Estimation for Groundwater Models under Uncertain Irrigation Data},
Author = {Demissie, Yonas and Valocchi, Albert and Cai, Ximing and Brozovic, Nicholas and Senay, Gabriel and Gebremichael, Mekonnen},
Journal = {Groundwater},
Year = {2015},
Number = {4},
Pages = {614--625},
Volume = {53},
Doi = {10.1111/gwat.12235},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.05.24}
}
@Book{deza&deza:2009,
Title = {Encyclopedia of Distances},
Author = {Elena Deza and Michel Marie Deza},
Publisher = {Springer Science + Business Media},
Year = {2009},
Doi = {10.1007/978-3-642-00234-2},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{diem&al:2014,
Title = {Assessing the effect of different river water level interpolation schemes on modeled groundwater residence times },
Author = {Samuel Diem and Philippe Renard and Mario Schirmer},
Journal = {Journal of Hydrology },
Year = {2014},
Pages = {393 - 402},
Volume = {510},
Abstract = {Summary Obtaining a quantitative understanding of river–groundwater interactions is of high practical relevance, for instance within the context of riverbank filtration and river restoration. Modeling interactions between river and groundwater requires knowledge of the river’s spatiotemporal water level distribution. The dynamic nature of riverbed morphology in restored river reaches might result in complex river water level distributions, including disconnected river branches, nonlinear longitudinal water level profiles and morphologically induced lateral water level gradients. Recently, two new methods were proposed to accurately and efficiently capture 2D water level distributions of dynamic rivers. In this study, we assessed the predictive capability of these methods with respect to simulated groundwater residence times. Both methods were used to generate surface water level distributions of a 1.2 km long partly restored river reach of the Thur River in northeastern Switzerland. We then assigned these water level distributions as boundary conditions to a 3D steady-state groundwater flow and transport model. When applying either of the new methods, the calibration-constrained groundwater flow field accurately predicted the spatial distribution of groundwater residence times; deviations were within a range of 30% when compared to residence times obtained using a reference method. We further tested the sensitivity of the simulated groundwater residence times to a simplified river water level distribution. The negligence of lateral river water level gradients of 20–30 cm on a length of 200 m caused errors of 40–80% in the calibration-constrained groundwater residence time distribution compared to results that included lateral water level gradients. The additional assumption of a linear water level distribution in longitudinal river direction led to deviations from the complete river water level distribution of up to 50 cm, which caused wide-spread errors in simulated groundwater residence times of 200–500%. For an accurate simulation of groundwater residence times, it is therefore imperative that the longitudinal water level distribution is correctly captured and described. Based on the confirmed predictive capability of the new methods to estimate 2D river water level distributions, we can recommend their application to future studies that model dynamic river–groundwater systems. },
Doi = {10.1016/j.jhydrol.2013.12.049},
ISSN = {0022-1694},
Keywords = {River restoration},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{dietrich:2003,
Title = {Geomorphic Transport Laws for Predicting Landscape Form and Dynamics},
Author = {Dietrich, W E and Bellugi, D G and Sklar, L S and Stock, J D and Heimsath, A M and Roering, J J},
Journal = {Geophysical Monograph},
Year = {2003},
Number = {D24},
Pages = {1--30},
Volume = {135},
Editor = {Wilcock, P R and Iverson, R MEditors},
Publisher = {AGU}
}
@Article{dix:1955,
Title = {Seismic velocities from surface measurements},
Author = {C. Hewitt Dix},
Journal = {Geophysics},
Year = {1955},
Month = {jan},
Number = {1},
Pages = {68--86},
Volume = {20},
Doi = {10.1190/1.1438126},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.14}
}
@Book{dodge:2003,
Title = {The Oxford Dictionary of Statistical Terms},
Author = {Y. Dodge},
Publisher = {Oxford Univ. Press},
Year = {2003},
Address = {London, U.K.},
Owner = {emanuel},
Timestamp = {2015.06.01}
}
@Article{dogan&al:2011,
Title = {Hydrostratigraphic analysis of the MADE site with full-resolution GPR and direct-push hydraulic profiling},
Author = {Dogan, Mine and Van Dam, Remke L. and Bohling, Geoffrey C. and Butler, James J. and Hyndman, David W.},
Journal = {Geophysical Research Letters},
Year = {2011},
Note = {L06405},
Number = {6},
Pages = {n/a--n/a},
Volume = {38},
Doi = {10.1029/2010GL046439},
ISSN = {1944-8007},
Keywords = {Groundwater hydrology, Hydrogeophysics, Groundwater transport, hydraulic conductivity, full-resolution GPR, hydrostratigraphy, heterogeneous aquifer, MADE site, direct-push profiling},
Owner = {huber},
Timestamp = {2016.07.18}
}
@Article{doherty&welter:2010,
Title = {A short exploration of structural noise},
Author = {Doherty, John and Welter, David},
Journal = {Water Resources Research},
Year = {2010},
Note = {W05525},
Number = {5},
Pages = {n/a--n/a},
Volume = {46},
Doi = {10.1029/2009WR008377},
Groups = {uncertainty},
ISSN = {1944-7973},
Keywords = {Model calibration, Uncertainty assessment, Modeling, Estimation and forecasting, structural noise, parameter estimation, calibration, uncertainty analysis},
Owner = {huber},
Timestamp = {2016.01.27}
}
@InCollection{donoho:1981,
Title = {On minimum entropy deconvolution},
Author = {D. Donoho},
Booktitle = {Applied Time Series Analysis II},
Year = {1981},
Address = {New York, London},
Editor = {Findley, D. F.},
Pages = {565--608},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{doppler&al:2007,
Title = {Field evidence of a dynamic leakage coefficient for modelling river–aquifer interactions },
Author = {Tobias Doppler and Harrie-Jan Hendricks Franssen and Hans-Peter Kaiser and Ulrich Kuhlman and Fritz Stauffer},
Journal = {Journal of Hydrology },
Year = {2007},
Number = {1–2},
Pages = {177 - 187},
Volume = {347},
Abstract = {Summary In groundwater flow modelling, the interaction between rivers and aquifers is usually modelled with spatially and temporally constant leakage coefficients. We used conventional model calibration techniques to investigate the time-varying river–aquifer interactions in the sandy gravel aquifer of the upper Limmat valley in Zurich (Switzerland). The aim of the study was to determine whether the leakage coefficients have to be treated as time-dependent in order to adequately model the dynamics of the groundwater flow. A transient horizontal two-dimensional groundwater flow model was established together with a one-dimensional hydraulic model for river flow, as well as a scheme calculating groundwater recharge and lateral inflow from meteorological data and a soil water balance model. The groundwater flow model was calibrated using hydraulic head data from May and June 2004 and July and August 2005. The verification period covered 13 years using hydraulic head data from 90 piezometers. The comparison of the model results with the measurements in the verification period revealed three phenomena concerning river–aquifer interaction which all showed up as systematic deviations between model and observations. (1) The major flood event in May 1999 had a significant and persistent influence on the river–aquifer interaction. In an impounded river section upstream of a weir, the infiltration of river water was enhanced by the flooding probably due to erosion processes. (2) Seasonal river water temperature fluctuations influenced the infiltration rate, due to the temperature dependence of hydraulic conductivity of the river bed. (3) Depending on geometry and hydraulic characteristics of the riverbanks the leakage coefficient can be a function of the river stage. With higher water levels, additional areas can contribute to the infiltration of river water. Therefore, in modelling groundwater flow with strong river–aquifer interactions, it can become necessary to consider dynamic leakage coefficients and to recalibrate periodically. },
Doi = {10.1016/j.jhydrol.2007.09.017},
ISSN = {0022-1694},
Keywords = {Groundwater hydrology},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{dore&al:2011,
Title = {Non-local adaptive structure tensors: Application to anisotropic diffusion and shock filtering },
Author = {Vincent Doré and Reza Farrahi Moghaddam and Mohamed Cheriet},
Journal = {Image and Vision Computing },
Year = {2011},
Number = {11},
Pages = {730 - 743},
Volume = {29},
Abstract = {Structure tensors are used in several PDE-based methods to estimate information on the local structure in the image, such as edge orientation. They have become a common tool in many image processing applications. To integrate the local data information, the structure tensor is based on a local regularization of a tensorial product. In this paper, we propose a new regularization model based on the non-local properties of the tensor product. The resulting non-local structure tensor is effective in the restitution of the non homogeneity of the local orientation of the structures. It is particularly efficient in texture regions where patches repeat non locally. The new tensor regularization also offers the advantage of automatically adapting the smoothing parameter to the local structures of the tensor product. Finally, we explain how this new adaptive structure tensor can be plugged into two PDEs: an anisotropic diffusion and a shock filter. Comparisons with other tensor regularization methods and other \{PDEs\} demonstrate the clear advantage of using the non-local structure tensor. },
Doi = {10.1016/j.imavis.2011.07.007},
ISSN = {0262-8856},
Keywords = {Structure tensor},
Owner = {huber},
Timestamp = {2016.07.22}
}
@InCollection{drovandi&al:2018,
Title = {Approximating the Likelihood in Approximate Bayesian Computation},
Author = {Drovandi, C.~C. and Grazian, C. and Mengersen, K. and Robert, C.},
Booktitle = {Handbook of Approximate Bayesian Computation},
Publisher = {Chapman and Hall/CRC},
Year = {2018},
Editor = {Scott A., Sisson and Yanan, Fan and Mark, Beaumont},
Month = {mar},
Pages = {662},
ISBN = {9781439881507},
Owner = {huber},
Timestamp = {2018.08.17}
}
@Article{dube:2009,
Title = {{An Iterative Fingerprint Enhancement Algorithm Based on Accurate Determination of Orientation Flow}},
Author = {{Dube}, S.},
Journal = {ArXiv e-prints},
Year = {2009},
Month = jul,
Archiveprefix = {arXiv},
Eprint = {0907.0288},
Owner = {huber},
Timestamp = {2016.07.24}
}
@Book{dubrule:2003,
Title = {Geostatistics for Seismic Data Integration in Earth Models},
Author = {Olivier Dubrule},
Publisher = {Society of Exploration Geophysicists},
Year = {2003},
Month = {jan},
Doi = {10.1190/1.9781560801962},
ISBN = {978-1-56080-121-4},
Owner = {huber},
Pages = {283},
Timestamp = {2016.05.06}
}
@Article{dujardin&bano:2013,
Title = {{Topographic migration of GPR data: Examples from Chad and Mongolia}},
Author = {Dujardin, Jean-R{\'e}mi and Bano, Maksim},
Journal = {Comptes Rendus G{\'e}oscience},
Year = {2013},
Month = Feb,
Number = {2},
Pages = {73-80},
Volume = {345},
Abstract = {{Most Ground Penetrating Radar (GPR) measurements are performed on nearly flat areas. If strongly dipping reflections and/or diffractions are present in the GPR data, a classical migration processing step is needed in order to determine the geometries of shallow structures. Nevertheless, a standard migration routine is not suitable for GPR data collected on areas showing a variable and large topographic relief. To account for the topographic variations, the GPR data are, in general, corrected by applying static shifts instead of using an appropriate topographic migration which would place the reflectors at their correct locations with the right dip angle. In this article we present an overview of Kirchhoff's migration and show the importance of topographic migration in the case where the depth of the target structures is of the same order as the relief variations. Examples of synthetic and real GPR data are shown to illustrate the efficiency of the topographic migration.}},
Affiliation = {Institut de physique du globe de Strasbourg - IPGS},
Audience = {internationale },
Groups = {processing},
Hal_id = {hal-00773457},
Language = {Anglais},
Owner = {hubere},
Timestamp = {2013.09.24}
}
@Article{eaton:2006,
Title = {On the importance of geological heterogeneity for flow simulation},
Author = {Timothy T. Eaton},
Journal = {Sedimentary Geology},
Year = {2006},
Note = {Heterogeneity in Sedimentary Aquifers: Challenges for Characterization and Flow Modeling, Geological Society of America Annual Meeting } # GeoScience # Horizons # {2003},
Number = {3--4},
Pages = {187 -- 201},
Volume = {184},
Abstract = {Geological heterogeneity is recognized as a major control on reservoir production and constraint on many aspects of quantitative hydrogeology. Hydrogeologists and reservoir geologists need to characterize groundwater flow through many different types of geological media for different purposes. In this introductory paper, an updated perspective is provided on the current status of the long effort to understand the effect of geological heterogeneity on flow using numerical simulations. A summary is given of continuum vs. discrete paradigms, and zonal vs. geostatistical approaches, all of which are used to structure model domains. Using these methods and modern simulation tools, flow modelers now have greater opportunities to account for the increasingly detailed understanding of heterogeneous aquifer and reservoir systems. One way of doing this would be to apply a broader interpretation of the idea of hydrofacies, long used by hydrogeologists. Simulating flow through heterogeneous geologic media requires that numerical models capture important aspects of the structure of the flow domain. Hydrofacies are reinterpreted here as scale-dependent hydrogeologic units with a particular representative elementary volume (REV) or structure of a specific size and shape. As such, they can be delineated in indurated sedimentary or even fractured aquifer systems, independently of lithofacies, as well as in the unlithified settings in which they have traditionally been used. This reconsideration of what constitutes hydrofacies, the building blocks for representing geological heterogeneity in flow models, may be of some use in the types of settings described in this special issue.},
Doi = {10.1016/j.sedgeo.2005.11.002},
File = {original paper:papers\\2006_Eaton_importance-of-heterogeneity-for-flow.pdf:PDF;Emanuel's notes:papers\\2006_Eaton_importance-of-heterogeneity-for-flow.doc:Word},
Groups = {hydrogeology, heterogeneity, concepts},
ISSN = {0037-0738},
Keywords = {Geological heterogeneity, Groundwater flow, Paradigms, Hydrofacies},
Owner = {hubere},
Review = {BOF!},
Timestamp = {2011.04.11}
}
@Article{eberly&carlin:2000,
Title = {Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models},
Author = {Eberly, Lynn E. and Carlin, Bradley P.},
Journal = {Statistics in Medicine},
Year = {2000},
Number = {17--18},
Pages = {2279--2294},
Volume = {19},
Doi = {10.1002/1097-0258(20000915/30)19:17/18<2279::AID-SIM569>3.0.CO;2-R},
Owner = {huber},
Timestamp = {2018.05.18}
}
@Article{economou&vafidis:2012,
Title = {{GPR} data time varying deconvolution by kurtosis maximization},
Author = {Nikos Economou and Antonis Vafidis},
Journal = {Journal of Applied Geophysics},
Year = {2012},
Pages = {117--121},
Volume = {81},
Doi = {10.1109/ICGPR.2010.5550132},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{economou&vafidis:2011,
Title = {Deterministic deconvolution for {GPR} data in the t-f domain},
Author = {Nikos Economou and Antonis Vafidis},
Journal = {Near Surface Geophysics},
Year = {2011},
Number = {5},
Pages = {427--433},
Volume = {9},
Doi = {10.3997/1873-0604.2011020},
Owner = {emanuel},
Publisher = {{EAGE} Publications},
Timestamp = {2015.05.28}
}
@Article{egozi:2008,
Title = {Defining and measuring braiding intensity},
Author = {Egozi, Roey and Ashmore, Peter},
Journal = {Earth Surface Processes and Landforms},
Year = {2008},
Number = {14},
Pages = {2121--2138},
Volume = {33},
Abstract = {Geomorphological studies of braided rivers still lack a consistent measurement of the complexity of the braided pattern. Several simple indices have been proposed and two (channel count and total sinuosity) are the most commonly applied. For none of these indices has there been an assessment of the sampling requirements and there has been no systematic study of the equivalence of the indices to each other and their sensitivity to river stage. Resolution of these issues is essential for progress in studies of braided morphology and dynamics at the scale of the channel network.A series of experiments was run using small-scale physical models of braided rivers in a 3 m 8 20 m flume. Sampling criteria for braid indices and their comparability were assessed using constant-discharge experiments. Sample hydrographs were run to assess the effect of flow variability.Reach lengths of at least 10 times the average wetted width are needed to measure braid indices with precision of the order of 20% of the mean. Inherent variability in channel pattern makes it difficult to achieve greater precision. Channel count indices need a minimum of 10 cross-sections spaced no further apart than the average wetted width of the river. Several of the braid indices, including total sinuosity, give very similar numerical values but they differ substantially from channel-count index values. Consequently, functional relationships between channel pattern and, for example, discharge, are sensitive to the choice of braid index. Braid indices are sensitive to river stage and the highest values typically occur below peak flows of a diurnal (melt-water) hydrograph in pro-glacial rivers. There is no general relationship with stage that would allow data from rivers at different relative stage to be compared. At present, channel count indices give the best combination of rapid measurement, precision, and range of sources from which measurements can be reliably made. They can also be related directly to bar theory for braided pattern development. Copyright 2008 John Wiley & Sons, Ltd.},
Doi = {10.1002/esp.1658},
ISSN = {1096-9837},
Keywords = {Braiding index, gravel-bed river, braiding, channel pattern, physical model},
Owner = {hubere},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2013.04.12}
}
@Article{eilertsen&hansen:2008,
Title = {Morphology of river bed scours on a delta plain revealed by interferometric sonar},
Author = {Raymond S. Eilertsen and Louise Hansen},
Journal = {Geomorphology},
Year = {2008},
Number = {1--2},
Pages = {58--68},
Volume = {94},
Abstract = {High-resolution bathymetric data from an interferometric sonar were used to investigate scours within the distributary channels of the ?yeren delta plain, the largest freshwater delta in northern Europe. The data reveal a range of scours occurring at different settings, including channel confluences, bends, confinements and bedrock scours. The basal erosion surfaces of the scours are up to 23?m below the local base level (i.e. lake level), and up to 4 times greater than the mean channel depth. This significant relief on the basal erosion surface is assigned to autocyclic processes like scouring intrinsic to the river channels, and the effect of changes in local base level is considered to be insignificant in this respect. The deepest scour is 24?m deep and is located at a channel confinement. It probably formed due to flow convergence during one flood cycle, although once formed it has been relatively stable over several years. River bend scours have been registered to a depth of 23?m on the delta plain. Channel confluences are shown to change in planform morphology due to different confluence angles. They are up to 13?m deep, and channel depth is deeper downstream of the scour than upstream.},
Doi = {10.1016/j.geomorph.2007.04.005},
File = {original paper:papers\\2007_eilertsen-and-hansen_morphology-of-river-bed-scours.pdf:PDF},
Groups = {scours, measurement, Norway},
ISSN = {0169-555X},
Keywords = {Scours, Delta plain, Bathymetry, River, Lake ?yeren, Norway},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Article{elshall&tsai:2014,
Title = {Constructive epistemic modeling of groundwater flow with geological structure and boundary condition uncertainty under the Bayesian paradigm },
Author = {Ahmed S. Elshall and Frank T.-C. Tsai},
Journal = {Journal of Hydrology },
Year = {2014},
Pages = {105 - 119},
Volume = {517},
Abstract = {Summary Constructive epistemic modeling is the idea that our understanding of a natural system through a scientific model is a mental construct that continually develops through learning about and from the model. Using hierarchical Bayesian model averaging (BMA), this study shows that segregating different uncertain model components through a \{BMA\} tree of posterior model probability, model prediction, within-model variance, between-model variance and total model variance serves as a learning tool. First, the \{BMA\} tree of posterior model probabilities permits the comparative evaluation of the candidate propositions of each uncertain model component. Second, systemic model dissection is imperative for understanding the individual contribution of each uncertain model component to the model prediction and variance. Third, the hierarchical representation of the between-model variance facilitates the prioritization of the contribution of each uncertain model component to the overall model uncertainty. We illustrate these concepts using the groundwater flow model of a siliciclastic aquifer-fault system. We consider four uncertain model components. With respect to geological structure uncertainty, we consider three methods for reconstructing the hydrofacies architecture of the aquifer-fault system, and two formation dips. We consider two uncertain boundary conditions, each having two candidate propositions. Through combinatorial design, these four uncertain model components with their candidate propositions result in 24 base models. The study shows that hierarchical \{BMA\} analysis helps in advancing knowledge about the model rather than forcing the model to fit a particularly understanding or merely averaging several candidate models. },
Doi = {10.1016/j.jhydrol.2014.05.027},
ISSN = {0022-1694},
Keywords = {Subsurface hydrology},
Owner = {huber},
Timestamp = {2016.05.24}
}
@Article{engdahl&al:2010,
Title = {An integrated approach to shallow aquifer characterization: combining geophysics and geostatistics},
Author = {Engdahl, Nicholas B. and Weissmann, Gary S. and Bonal, Nedra D.},
Journal = {Computational Geosciences},
Year = {2010},
Number = {2},
Pages = {217--229},
Volume = {14},
Abstract = {We present a method of aquifer characterization that is able to utilize multiple sources of conditioning data to build a more realistic model of heterogeneity. This modeling approach (InMod) uses geophysical data to delineate bounding surfaces within sedimentary deposits. The depositional volumes between bounding surfaces are identified automatically from the geophysical data by a region growing algorithm. Simple geometric rules are used to constrain the growth of the regions in 3-D. The nodes within the depositional volume are assigned to categorical lithologies using geostatistical realizations and a dynamic lookup routine that can be conditioned to field data. The realizations created with this method preserve geologically expected features and produces sharp juxtapositions of high and low hydraulic conductivity lithologies along bounding surfaces. The realizations created with InMod also have higher variance than models created only with geostatistics and honor the volumetric distribution of sediments measured from field data.},
Doi = {10.1007/s10596-009-9145-y},
ISSN = {1573-1499},
Owner = {huber},
Timestamp = {2016.07.18}
}
@Article{epting&al:2009,
Title = {Integrating field and numerical modeling methods for applied urban karst hydrogeology},
Author = {Epting, J. and Romanov, D. and Huggenberger, P. and Kaufmann, G.},
Journal = {Hydrology and Earth System Sciences},
Year = {2009},
Number = {7},
Pages = {1163--1184},
Volume = {13},
Doi = {10.5194/hess-13-1163-2009},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{ernenwein&kvamme:2008,
Title = {Data processing issues in large-area {GPR} surveys: correcting trace misalignments, edge discontinuities and striping},
Author = {Eileen G. Ernenwein and Kenneth L. Kvamme},
Journal = {Archaeological Prospection},
Year = {2008},
Number = {2},
Pages = {133--149},
Volume = {15},
Doi = {10.1002/arp.331},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.14}
}
@Article{ezzy&al:2006,
Title = {Groundwater flow modelling within a coastal alluvial plain setting using a high-resolution hydrofacies approach; Bells Creek plain, Australia},
Author = {Ezzy, T. R. and Cox, M. E. and O'Rourke, A. J. and Huftile, G. J.},
Journal = {Hydrogeology Journal},
Year = {2006},
Number = {5},
Pages = {675--688},
Volume = {14},
Abstract = {Ground penetrating radar (GPR) has proved to be an extremely useful geophysical tool, in conjunction with direct geological data, to develop a realistic, macroscopic, subjective-based conceptual model of aquifer architecture within a shallow coastal alluvial plain. Subsequent finite-difference groundwater modelling has not only enabled determination of the dominant groundwater flow paths for the plain, but has also quantified the effects of within-facies and between-facies sedimentary heterogeneity on those flow paths. The interconnection of narrow, unconfined alluvial channels and a broad, semi-confined alluvial delta is ensuring that most fresh groundwater that enters the plain in the form of precipitation or recharge from lateral bedrock hills, is discharged into the eastern coastal wetlands via that alluvial delta aquifer.},
Doi = {10.1007/s10040-005-0470-5},
ISSN = {1435-0157},
Owner = {huber},
Timestamp = {2016.07.18}
}
@InBook{faraklioti&petrou:2005,
Title = {The Use of Structure Tensors in the Analysis of Seismic Data},
Author = {Faraklioti, Maria and Petrou, Maria},
Editor = {Iske, Armin and Randen, Trygve},
Pages = {47--88},
Publisher = {Springer Berlin Heidelberg},
Year = {2005},
Address = {Berlin, Heidelberg},
Booktitle = {Mathematical Methods and Modelling in Hydrocarbon Exploration and Production},
Doi = {10.1007/3-540-26493-0_3},
ISBN = {978-3-540-26493-4},
Owner = {huber},
Timestamp = {2016.07.17},
Url = {http://dx.doi.org/10.1007/3-540-26493-0_3}
}
@Article{fehmers&hoecker:2003,
Title = {Fast structural interpretation with structure-oriented filtering},
Author = {Fehmers, Gijs C. and H{\"o}cker, Christian F. W.},
Journal = {Geophysics},
Year = {2003},
Number = {4},
Pages = {1286--1293},
Volume = {68},
Abstract = {We present a new approach to structural interpretation of 3D seismic data with the objectives of simplifying the task and reducing the interpretation time. The essential element is the stepwise removal of noise, and eventually of small-scale stratigraphic and structural features, to derive more and more simple representations of structural shape. Without noise and small-scale structure, both man and machine (autotrackers) can arrive at a structural interpretation faster. If the interpreters so wish, they can refine such an initial crude structural interpretation in selected target areas. We discuss a class of filters that removes noise and, if desired, simplifies structural information in 3D seismic data. The gist of these filters is a smoothing operation parallel to the seismic reflections that does not operate beyond reflection terminations (faults). These filters therefore have three ingredients: (1) orientation analysis, (2) edge detection, and (3) edge-preserving oriented smoothing. We discuss one particular implementation of this principle in some detail: a simulated anisotropic diffusion process (low-pass filter) that diffuses the seismic amplitude while the diffusion tensor is computed from the local image structure (so that the diffusion is parallel to the reflections). Examples show the remarkable effects of this operation.},
Doi = {10.1190/1.1598121},
Eprint = {http://geophysics.geoscienceworld.org/content/68/4/1286.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.24},
Url = {http://geophysics.geoscienceworld.org/content/68/4/1286}
}
@Article{felletti&al:2006,
Title = {Geostatistical Simulation and Numerical Upscaling, to Model Ground-Water Flow in a Sandy-Gravel, Braided River, Aquifer Analogue},
Author = {F. Felletti and R. Bersezio and M. Giudici},
Journal = {Journal of Sedimentary Research},
Year = {2006},
Number = {11},
Pages = {1215--1229},
Volume = {76},
Doi = {10.2110/jsr.2006.091},
Owner = {huber},
Publisher = {Society for Sedimentary Geology},
Timestamp = {2017.06.23}
}
@Article{filippi&holmes:2015,
Title = {A Bayesian nonparametric approach to quantifying dependence between random variables},
Author = {Filippi, S. and Holmes, C.},
Journal = {ArXiv e-prints},
Year = {2015},
Month = jun,
Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
Adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150600829F},
Archiveprefix = {arXiv},
Eprint = {1506.00829},
Keywords = {Statistics - Methodology},
Owner = {huber},
Primaryclass = {stat.ME},
Timestamp = {2016.01.22}
}
@Article{finsterle:2015,
Title = {Practical notes on local data-worth analysis},
Author = {Finsterle, Stefan},
Journal = {Water Resources Research},
Year = {2015},
Number = {12},
Pages = {9904--9924},
Volume = {51},
Doi = {10.1002/2015WR017445},
ISSN = {1944-7973},
Keywords = {Computational hydrology, Model calibration, Data and information discovery, Uncertainty, sensitivity analysis, data-worth analysis, inverse modeling, geothermal reservoir engineering, iTOUGH2},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{fisher&al:1996,
Title = {Ground Penetrating Radar ({GPR}) Data Enhancement Using Seismic Techniques},
Author = {Steven C. Fisher and Robert R. Stewart and Harry M. Jol},
Journal = {Journal of Environmental and Engineering Geophysics},
Year = {1996},
Month = {aug},
Number = {2},
Pages = {89--96},
Volume = {1},
Doi = {10.4133/jeeg1.2.89},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.4133/JEEG1.2.89}
}
@Article{forte&al:2016,
Title = {Review of multi-offset \{GPR\} applications: Data acquisition, processing and analysis },
Author = {Emanuele Forte and Michele Pipan},
Journal = {Signal Processing },
Year = {2016},
Pages = { - },
Abstract = {Abstract \{GPR\} and reflection seismics share common physical and methodological bases but are sensitive to different subsurface physical properties. The peculiarities of the electromagnetic case impact data acquisition, processing and interpretation. We review multi-offset techniques in \{GPR\} applications focusing on similarities and differences through examples taken from different subsurface and target conditions. \{GPR\} multi-offset data acquisition methods basically involve common-offset and common midpoint geometries: accuracy and work load are the main factors that drive the choice, together with effectiveness of the solution for the objectives of the study. Multi-fold data processing algorithms can bring remarkable signal-to-noise ratio enhancement and offer the opportunity to extract additional information from field data. Velocity field and related dielectric constants distribution, attenuation and related conductivity variations, changes in the \{GPR\} response with offset are some of the examples. Coherent noise suppression and velocity analysis are key features in \{GPR\} multi-fold processing sequences and we review the relevant methods with examples of application in addition to technical aspects. Multi-channel acquisitions, full wave-form inversion, pre-stack depth migration, azimuthal and polarimetric analysis, are among the many topics in current and future research that are briefly reviewed to provide some highlights of the forthcoming developments in \{GPR\} methods. },
Doi = {10.1016/j.sigpro.2016.04.011},
ISSN = {0165-1684},
Keywords = {Multi-fold},
Owner = {huber},
Timestamp = {2016.07.16},
Url = {http://www.sciencedirect.com/science/article/pii/S0165168416300494}
}
@Article{fritz&mackley:2010,
Title = {A Wet/Wet Differential Pressure Sensor for Measuring Vertical Hydraulic Gradient},
Author = {Fritz, Brad G. and Mackley, Rob D.},
Journal = {Ground Water},
Year = {2010},
Number = {1},
Pages = {117--121},
Volume = {48},
Doi = {10.1111/j.1745-6584.2009.00609.x},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.01.22},
Url = {http://dx.doi.org/10.1111/j.1745-6584.2009.00609.x}
}
@Article{gomezhernadez&wen:1998,
Title = {To be or not to be multi-{G}aussian? {A} reflection on stochastic hydrogeology},
Author = {J.Jaime G{\'{o}}mez-Hern{\'{a}}ndez and Xian-Huan Wen},
Journal = {Advances in Water Resources},
Year = {1998},
Month = {feb},
Number = {1},
Pages = {47--61},
Volume = {21},
Doi = {10.1016/s0309-1708(96)00031-0},
Owner = {hubere},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08}
}
@Article{garnett&al:2010,
Title = {Sequential Bayesian Prediction in the Presence of Changepoints and Faults},
Author = {Garnett, Roman and Osborne, Michael A. and Reece, Steven and Rogers, Alex and Roberts, Stephen J.},
Journal = {The Computer Journal},
Year = {2010},
Number = {9},
Pages = {1430-1446},
Volume = {53},
Abstract = {We introduce a new sequential algorithm for making robust predictions in the presence of changepoints. Unlike previous approaches, which focus on the problem of detecting and locating changepoints, our algorithm focuses on the problem of making predictions even when such changes might be present. We introduce nonstationary covariance functions to be used in Gaussian process prediction that model such changes, and then proceed to demonstrate how to effectively manage the hyperparameters associated with those covariance functions. We further introduce covariance functions to be used in situations where our observation model undergoes changes, as is the case for sensor faults. By using Bayesian quadrature, we can integrate out the hyperparameters, allowing us to calculate the full marginal predictive distribution. Furthermore, if desired, the posterior distribution over putative changepoint locations can be calculated as a natural byproduct of our prediction algorithm.},
Doi = {10.1093/comjnl/bxq003},
Eprint = {http://comjnl.oxfordjournals.org/content/53/9/1430.full.pdf+html},
Owner = {huber},
Timestamp = {2016.01.20},
Url = {http://comjnl.oxfordjournals.org/content/53/9/1430.abstract}
}
@Article{gelfand&sahu:1999,
Title = {Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models},
Author = {Alan E. Gelfand and Sujit K. Sahu},
Journal = {Journal of the American Statistical Association},
Year = {1999},
Number = {445},
Pages = {247-253},
Volume = {94},
Abstract = { Abstract Markov chain Monte Carlo algorithms are widely used in the fitting of generalized linear models (GLMs). Such model fitting is somewhat of an art form, requiring suitable trickery and tuning to obtain results in which one can have confidence. A wide range of practical issues arise. The focus here is on parameter identifiability and posterior propriety. In particular, we clarify that nonidentifiability arises for usual GLMs and discuss its implications for simulation-based model fitting. Because often some part of the prior specification is vague, we consider whether the resulting posterior is proper, providing rather general and easily checked results for GLMs. We also show that if a Gibbs sampler is run with an improper posterior, then it may be possible to use the output to obtain meaningful inference for certain model unknowns. },
Doi = {10.1080/01621459.1999.10473840},
Owner = {huber},
Timestamp = {2018.05.18}
}
@Book{gelman&al:2014,
Title = {Bayesian Data Analysis, Third Edition (Chapman \& {Hall/CRC} Texts in Statistical Science)},
Author = {Gelman, Andrew and Carlin, John and Stern, Hal and Dunson, David and Vehtari, Aki and Rubin, Donald},
Publisher = {Chapman and Hall/CRC},
Year = {2014},
Address = {London},
Edition = {Third},
ISBN = {9781439840955},
Owner = {huber},
Timestamp = {2017.02.17}
}
@Article{genereux&al:2008,
Title = {Spatial and temporal variability of streambed hydraulic conductivity in West Bear Creek, North Carolina, \{USA\} },
Author = {David P. Genereux and Scott Leahy and Helena Mitasova and Casey D. Kennedy and D. Reide Corbett},
Journal = {Journal of Hydrology },
Year = {2008},
Number = {3–4},
Pages = {332 - 353},
Volume = {358},
Abstract = {Summary The hydraulic conductivity (K) of the streambed is an important variable influencing water and solute exchange between streams and surrounding groundwater systems. However, there are few detailed data on spatial variability in streambed K and almost none on temporal variability. The spatial and temporal variability of streambed K in a North Carolina stream were investigated with 487 field measurements of K over a 1-year period. Measurements were made bimonthly from December 2005 to December 2006 at 46 measurement locations in a 262.5 m reach (the “large reach”). To give a more detailed picture of spatial variability, closely-spaced one-time measurements were made in two 62.5 m reaches (the “small reaches”, one investigated in July 2006 and the other in August 2006) that were part of the large reach. Arithmetic mean K for the large reach was ∼16 m/day (range was 0.01 to 66 m/day). Neither K nor lnK was normally distributed, and K distributions appeared somewhat bimodal. There was significant spatial variability over horizontal length scales of a few m. Perhaps the clearest feature within this variability was the generally higher K in the center of the channel. This feature may be an important control on water and chemical fluxes through the streambed (e.g., other measurements show generally higher water seepage velocity, but lower porewater nitrate concentration, in the center of the streambed). Grain size analysis of streambed cores showed that layers of elevated fines (silt + clay) content were less common in the center of the channel (overall, the streambed was about 94% sand). Results also suggest a modest but discernable difference in average streambed K upstream and downstream of a small beaver dam: K was about 23% lower upstream, when the dam was present during the first few months of the study. This upstream/downstream difference in K disappeared after the dam collapsed, perhaps in response to re-mobilization of fine sediments or leaf matter that had accumulated in quiet waters ponded on the upstream side of the dam. Temporal variability was significant and followed a variety of different patterns at the 46 measurement locations in the large reach. Temperature data show that variation in streambed and groundwater temperature was not an important cause of the observed temporal variability in K. Measurements of changes in the elevation of the streambed surface suggest erosion and deposition played an important role in causing the observed temporal variability in streambed K (of which the change described above following collapse of the beaver dam was a special case), though other potentially time-varying factors (e.g., gas content, bioturbation, or biofilms in the streambed) were not explicitly addressed and cannot be ruled out as contributors to the temporal variability in streambed K. Temporal variability in streambed K merits additional study as a potentially important control on temporal variability in the magnitudes and spatial patterns of water and solute fluxes between groundwater and surface water. From the data available it seems appropriate to view streambed K as a dynamic attribute, variable in both space and time. },
Doi = {10.1016/j.jhydrol.2008.06.017},
ISSN = {0022-1694},
Keywords = {Hydraulic conductivity},
Owner = {huber},
Timestamp = {2015.11.11}
}
@InCollection{geyer:2011,
Title = {Introduction to Markov Chain Monte Carlo},
Author = {Geyer, CharlesJ},
Booktitle = {Handbooks of Modern Statistical Methods},
Publisher = {Chapman \& Hall/CRC},
Year = {2011},
Editor = {Steve Brooks and Andrew Gelman and Galin Jones and Xiao-Li Meng},
Month = {may},
Comment = {doi:10.1201/b10905-2},
Doi = {10.1201/b10905-2},
ISSN = {978-1-4200-7941-8},
Owner = {hubere},
Timestamp = {2014.05.23}
}
@Article{geyer&moller:1994,
Title = {Simulation Procedures and Likelihood Inference for Spatial Point Processes},
Author = {Charles J. Geyer and Jesper Møller},
Journal = {Scandinavian Journal of Statistics},
Year = {1994},
Month = {december},
Number = {4},
Pages = {359--373},
Volume = {21},
Abstract = {An alternative algorithm to the usual birth-and-death procedure for simulating spatial point processes is introduced. The algorithm is used in a discussion of unconditional versus conditional likelihood inference for parametric models of spatial point processes.},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@Article{giannopoulos:2005,
Title = {Modelling ground penetrating radar by {GprMax}},
Author = {A. Giannopoulos},
Journal = {Construction and Building Materials},
Year = {2005},
Month = {dec},
Number = {10},
Pages = {755--762},
Volume = {19},
Doi = {10.1016/j.conbuildmat.2005.06.007},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@Article{glaser&glaser:2001,
Title = {Stereology, morphometry, and mapping: the whole is greater than the sum of its parts},
Author = {Jacob R Glaser and Edmund M Glaser},
Journal = {Journal of Chemical Neuroanatomy},
Year = {2000},
Month = {oct},
Number = {1},
Pages = {115--126},
Volume = {20},
Doi = {10.1016/s0891-0618(00)00073-9},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.27}
}
@InProceedings{gottsche&al:1994,
Title = {Two-sided deconvolution - A Method to improve the temporal resolution in radar data},
Author = {F. -M. Gottsche and C. Stolte and K. -P. Nick},
Booktitle = {56th {EAEG} Meeting},
Year = {1994},
Publisher = {{EAGE} Publications {BV}},
Doi = {10.3997/2214-4609.201410002},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{greaves&al:1996,
Title = {Velocity variations and water content estimated from multi-offset, ground-penetrating radar},
Author = {Greaves, Robert J. and Lesmes, David P. and Lee, Jung Mo and Toksoz, M. Nafi},
Journal = {Geophysics},
Year = {1996},
Number = {3},
Pages = {683--695},
Volume = {61},
Abstract = {The common midpoint (CMP) processing technique has been shown to be effective in improving the results of ground-penetrating radar (GPR) profiling. When radar data are collected with the CMP multioffset geometry, stacking increases the signal-to-noise ratio of subsurface radar reflections and results in an improved subsurface image. An important aspect of CMP processing is normal-moveout velocity analysis. Our objectives are to show the effect of multiple velocity analyses on the stacked radar image and particularly, to demonstrate that this velocity information can also be used to determine subsurface water content. Most GPR surveys are very limited in spatial extent and assume that within the survey range, radar velocity structure in the shallow subsurface can be adequately approximated by a single velocity function in data processing. In this study, we show that variation in radar velocity can be quite significant and that the stacked profile improves as the number of velocity analysis locations is increased. Interval velocities can be calculated from the normal moveout velocities derived in the CMP velocity analysis. With some reasonable assumptions about subsurface conditions necessary for radar propagation, interval velocity can be converted to an estimate of volumetric water content. Therefore, by collecting GPR data in the multioffset CMP geometry, not only is the radar profile improved but it also allows for an interpretation of subsurface variation in water content. We show the application of these techniques to multioffset GPR data from the Chalk River test area operated by Atomic Energy of Canada Limited.},
Doi = {10.1190/1.1443996},
Eprint = {http://geophysics.geoscienceworld.org/content/61/3/683.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.16},
Url = {http://geophysics.geoscienceworld.org/content/61/3/683}
}
@Article{green:1995,
Title = {Reversible jump Markov chain Monte Carlo computation and bayesian model determination.},
Author = {P.J. Green},
Journal = {Biometrika},
Year = {1995},
Pages = {711--732},
Volume = {82},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@Article{grimm&al:2006,
Title = {Absorption and scattering in ground-penetrating radar: Analysis of the {B}ishop {T}uff},
Author = {Robert E. Grimm and Essam Heggy and Stephen Clifford and Cynthia Dinwiddie and Ronald McGinnis and David Farrell},
Journal = {Journal of Geophysical Research: Planets},
Year = {2006},
Number = {E6},
Volume = {111},
Abstract = {Ground-penetrating radar (GPR) signals are attenuated by both absorption and scattering. We performed low-frequency (<100 MHz) GPR surveys at the Volcanic Tableland of the Bishop (California) Tuff to evaluate the factors that control GPR depth of investigation and to develop insight into the capabilities of such radars for Mars. The subsurface reflection character was very different for two different commercial systems used; together, they revealed both internal welding contacts in the tuff and an abundance of discrete scatterers. Attenuation coefficients were computed from profiles that showed distributed scattering: the semilogarithmic signal decay is directly analogous to seismic coda. The absorption (intrinsic loss) was determined to be 1 dB/m from low-frequency vertical-electric soundings. The residual attenuation (that is, the attenuation in the absence of absorption) is attributed to scattering. Scattering attenuation of 1 dB/m at 25–50 MHz corresponds to mean-free paths as short as 4 m, a fraction of the two-way propagation distances of 20–40 m. Therefore the Bishop Tuff is formally a strong scatterer to GPR. The mean-free path is also comparable to the subsurface radar wavelength in this case, maximizing scattering loss. The scatterers themselves likely originate as welding heterogeneities; contrasts in dielectric constant due to density differences may be supplemented by moisture variations. On Mars, scattering is likely to contribute significant losses to GPR signals in all but the most uniform materials, and unfrozen thin films of water in the lower cryosphere could influence both absorption and scattering.},
Doi = {10.1029/2005je002619},
ISSN = {2156-2202},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.14}
}
@Article{gross&al:2004,
Title = {Location and geometry of the {W}ellington {F}ault ({N}ew {Z}ealand) defined by detailed three-dimensional georadar data},
Author = {Gross, Ralf and Green, Alan G. and Horstmeyer, Heinrich and Begg, John H.},
Journal = {Journal of Geophysical Research},
Year = {2004},
Number = {B5},
Pages = {1--14},
Volume = {109},
Doi = {10.1029/2003jb002615},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28}
}
@Article{gueting&al:2017,
Title = {Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data},
Author = {Nils Gueting and Jef Caers and Alessandro Comunian and Jan Vanderborght and Andreas Englert},
Journal = {Mathematical Geosciences},
Year = {2017},
Month = {jun},
Number = {1},
Pages = {53--75},
Volume = {50},
Doi = {10.1007/s11004-017-9694-x},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2018.07.26}
}
@Article{guin:2010,
Title = {Simulating the heterogeneity in braided channel belt deposits: 2. Examples of results and comparison to natural deposits},
Author = {Guin, Arijit and Ramanathan, Ramya and Ritzi, Robert W. and Dominic, David F. and Lunt, Ian A. and Scheibe, Timothy D. and Freedman, Vicky L.},
Journal = {Water Resources Research},
Year = {2010},
Number = {4},
Pages = {1--19},
Volume = {46},
Abstract = {In part 1 of this paper (Ramanathan et al., 2010b) we presented a methodology and a code for modeling the hierarchical sedimentary architecture in braided channel belt deposits. Here in part 2, the code was used to create a digital model of this architecture and the corresponding spatial distribution of permeability. The simulated architecture was compared to the real stratal architecture observed in an abandoned channel belt. The comparisons included assessments of similarity which were both qualitative and quantitative. The qualitative comparisons show that the geometries of unit types within the synthetic deposits are generally consistent with field observations. The unit types in the synthetic deposits would generally be recognized as representing their counterparts in nature, including cross stratasets, lobate and scroll bar deposits, and channel fills. Furthermore, the synthetic deposits have a hierarchical spatial relationship among these units consistent with observations from field exposures and geophysical images. In quantitative comparisons the proportions and the length, width, and height of unit types at different scales, across all levels of the stratal hierarchy, compare well between the synthetic and the natural deposits. A number of important attributes of the synthetic channel belt deposits are shown to be influenced by more than one level within the hierarchy of stratal architecture. First, the high-permeability open-framework gravels connected across all levels and thus formed preferential flow pathways; open-framework gravels are known to form preferential flow pathways in natural channel belt deposits. The nature of a connected cluster changed across different levels of the stratal hierarchy, and as a result of the geologic structure, the connectivity occurs at proportions of open-framework gravels below the theoretical percolation threshold for random infinite media. Second, when the channel belt model was populated with permeability distributions by lowest-level unit type, the composite permeability semivariogram contained structures that were identifiable at more than one scale, and each of these structures could be directly linked to unit types of different scales existing at different levels within the hierarchy of strata. These collective results are encouraging with respect to our goal that this model be relevant for testing ideas in future research on flow and transport in aquifers and reservoirs with multiscale heterogeneity.},
Doi = {10.1029/2009WR008112},
File = {original paper:papers\\2010_guin-et-al_simulating-heterogeneity-braided-channel-belt-deposits.pdf:PDF},
Groups = {sedimentological model, object-based model, modelling},
ISSN = {1944-7973},
Owner = {hubere},
Timestamp = {2013.04.23},
Url = {http://dx.doi.org/10.1029/2009WR008112}
}
@Article{guo&al:2016,
Title = {Sufficient Canonical Correlation Analysis},
Author = {Y. Guo and X. Ding and C. Liu and J. Xue},
Journal = {IEEE Transactions on Image Processing},
Year = {2016},
Month = {June},
Number = {6},
Pages = {2610-2619},
Volume = {25},
Doi = {10.1109/TIP.2016.2551374},
ISSN = {1057-7149},
Keywords = {computer vision;correlation methods;sufficient canonical correlation analysis;Pearson correlation coefficient;projected random vectors;joint dimension reduction tool;image processing;computer vision;S-CCA effectiveness;CCA overfitting problem;sufficient dimension reduction;Correlation;Bayes methods;Training;Computer vision;Optimization;Sociology;Canonical correlation analysis;multi-class classification;multi-view learning;generalization ability;overfitting;sufficient dimension reduction;Canonical correlation analysis;multi-class classification;multi-view learning;generalization ability;overfitting;sufficient dimension reduction},
Owner = {huber},
Timestamp = {2018.08.07}
}
@Article{gurnell&al:2000,
Title = {Wood storage within the active zone of a large European gravel-bed river},
Author = {A.M. Gurnell and G.E. Petts and D.M. Hannah and B.P.G. Smith and P.J. Edwards and J. Kollmann and J.V. Ward and K. Tockner},
Journal = {Geomorphology},
Year = {2000},
Month = {aug},
Number = {1--2},
Pages = {55--72},
Volume = {34},
Abstract = {Wood storage within the active zone of the dynamic, gravel-bed, Fiume Tagliamento, Italy, was investigated at eight sites along the river's main stem. The quantity, nature, and mode of wood storage revealed a number of trends related to active zone morphology, cover type, and distance from the river's source. Relatively small quantities of wood were stored on open-gravel surfaces (estimates ranged from 1 to 21 t ha-1), intermediate quantities were associated with established islands (24?186 t ha-1), and large quantities were associated with pioneer islands (293?1664 t ha-1). Thus, variations in the geomorphological style of the river, which are associated with changes in these three cover types, are reflected in variations in the amount of wood that is stored in different reaches. In addition, although wood was found in many locations within the active zone, it was preferentially stored in three specific locations: (i) bar crests (the main open-gravel location for wood accumulations and pioneer islands); (ii) the margins and (iii) surfaces of established islands. The proportion of the stored wood that was living (sprouting) increased downstream and was higher on the open gravel than in association with established islands. There was a downstream gradient in the dominant type of wood accumulation. Individual logs predominated at the most upstream site. Thereafter, on the open gravel, whole shrubs and trees dominated the more confined sites in the headwaters and middle reaches, whereas, jams were the most frequent form of accumulation in the downstream reaches. Jams were the most frequent type of accumulation associated with established islands throughout the river. In contrast to small streams, where debris dams constitute the major type of wood accumulation, complex patterns and trends of wood storage were revealed along the Tagliamento. Although further studies are needed, it is clear that erosion of woody vegetation, its subsequent transport and deposition, play a major role in structuring the geomorphological and ecological character of this relatively natural, large European river-system. Insight into the mechanisms underlying the observed spatial patterns will contribute to a better understanding of the dynamic processes involved, and is essential for more effective management of river ecosystems.},
Doi = {10.1016/s0169-555x(99)00131-2},
Keywords = {wood storage},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08},
Url = {http://www.sciencedirect.com/science/article/pii/S0169555X99001312}
}
@Article{gurnell&al:2005,
Title = {Effects of deposited wood on biocomplexity of river corridors},
Author = {Angela Gurnell and Klement Tockner and Peter Edwards and Geoffrey Petts},
Journal = {Frontiers in Ecology and the Environment},
Year = {2005},
Month = {sep},
Number = {7},
Pages = {377--382},
Volume = {3},
Doi = {10.1890/1540-9295(2005)003[0377:eodwob]2.0.co;2},
Owner = {emanuel},
Publisher = {Ecological Society of America},
Timestamp = {2015.05.09},
Url = {http://dx.doi.org/10.1890/1540-9295(2005)003[0377:EODWOB]2.0.CO;2}
}
@Article{haldorsen&lake:1984,
Title = {A new approach to shale management in field-scale models},
Author = {Haldorsen, Helge H and Lake, Larry W},
Journal = {Society of Petroleum Engineers Journal},
Year = {1984},
Number = {04},
Pages = {447--457},
Volume = {24},
Owner = {huber},
Publisher = {Society of Petroleum Engineers},
Timestamp = {2018.08.03}
}
@Article{han&endreny:2014,
Title = {Comparing MODFLOW simulation options for predicting intra-meander flux},
Author = {Han, Bangshuai and Endreny, Theodore A.},
Journal = {Hydrological Processes},
Year = {2014},
Number = {11},
Pages = {3824--3832},
Volume = {28},
Abstract = {During the evolution of meander bends, the intra-meander groundwater head gradients steepen and generate zones of accelerated water and nutrient intra-meander fluxes important for ecosystem processes. This paper compares and contrasts three MODFLOW groundwater model packages based on their simulation of intra-meander flux for two stages of meander evolution observed in a sandbox river table and one level of river bed clogging, where the hydraulic conductivity in the river bed is lower than in the adjacent aquifer. These packages are the Time-Variant Specified Head package [constant head (CHD)], River package (RIV), and Streamflow-Routing package (SFR2), each controlling the groundwater or river head bounding the intra-meander region. The RIV and SFR2 packages fix river stage and allow for variation in groundwater head below the river, which is suggested for simulating intra-meander flux for all sinuosities with and without river bed clogging whenever river bed parameters are available. The CHD package fixes below river groundwater head and fails to simulate intra-meander head loss and flux in meanders with high sinuosity or river bed clogging. In low sinuosity meanders and in cases without river bed clogging, there were no significant differences between MODFLOW packages for simulating river intra-meander head loss and flux. This research demonstrates why MODFLOW users need to consider the limitations of each package when simulating intra-meander flux in reaches with river bed clogging, high sinuosity, or similarly steep hydraulic gradients. Copyright © 2014 John Wiley & Sons, Ltd.},
Doi = {10.1002/hyp.10186},
ISSN = {1099-1085},
Keywords = {intra-meander head and flux, MODFLOW, River package, constant head package, Streamflow-Routing package, groundwater head},
Owner = {huber},
Timestamp = {2016.02.15},
Url = {http://dx.doi.org/10.1002/hyp.10186}
}
@Article{hansen&al:2014,
Title = {Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography},
Author = {Hansen, Thomas Mejer and Cordua, Knud Skou and Jacobsen, Bo Holm and Mosegaard, Klaus},
Journal = {Geophysics},
Year = {2014},
Number = {3},
Pages = {H1-H21},
Volume = {79},
Abstract = {Inversion of geophysical data relies on knowledge about how to solve the forward problem, that is, computing data from a given set of model parameters. In many applications of inverse problems, the solution to the forward problem is assumed to be known perfectly, without any error. In reality, solving the forward model (forward-modeling process) will almost always be prone to errors, which we referred to as modeling errors. For a specific forward problem, computation of crosshole tomographic first-arrival traveltimes, we evaluated how the modeling error, given several different approximate forward models, can be more than an order of magnitude larger than the measurement uncertainty. We also found that the modeling error is strongly linked to the spatial variability of the assumed velocity field, i.e., the a priori velocity model. We discovered some general tools by which the modeling error can be quantified and cast into a consistent formulation as an additive Gaussian observation error. We tested a method for generating a sample of the modeling error due to using a simple and approximate forward model, as opposed to a more complex and correct forward model. Then, a probabilistic model of the modeling error was inferred in the form of a correlated Gaussian probability distribution. The key to the method was the ability to generate many realizations from a statistical description of the source of the modeling error, which in this case is the a priori model. The methodology was tested for two synthetic ground-penetrating radar crosshole tomographic inverse problems. Ignoring the modeling error can lead to severe artifacts, which erroneously appear to be well resolved in the solution of the inverse problem. Accounting for the modeling error leads to a solution of the inverse problem consistent with the actual model. Further, using an approximate forward modeling may lead to a dramatic decrease in the computational demands for solving inverse problems.},
Doi = {10.1190/geo2013-0215.1},
Eprint = {http://geophysics.geoscienceworld.org/content/79/3/H1.full.pdf+html},
Owner = {huber},
Timestamp = {2016.01.22},
Url = {http://geophysics.geoscienceworld.org/content/79/3/H1.abstract}
}
@TechReport{harbaugh:2005,
Title = {MODFLOW-2005, The U.S. Geological Survey modular ground-water model --- the ground-water flow process},
Author = {A.W. Harbaugh},
Institution = {U.S. Geological Survey},
Year = {2005},
Number = {6--A16},
Type = {Survey Techniques and Methods},
Owner = {huber},
Timestamp = {2016.02.05}
}
@Book{harms&al:1975,
Title = {Depositional environments as interpreted from primary sedimentary structures and stratification sequences},
Author = {Harms, J.C. and Southard, J.B. and Spearing, D.R. and Walker, R.G.},
Publisher = {S.E.P.M. Short Course},
Year = {1975},
Number = {2},
Owner = {emanuel},
Pages = {161},
Timestamp = {2015.05.30}
}
@Article{hartig&al:2011,
Title = {Statistical inference for stochastic simulation models – theory and application},
Author = {Hartig, Florian and Calabrese, Justin M. and Reineking, Björn and Wiegand, Thorsten and Huth, Andreas},
Journal = {Ecology Letters},
Year = {2011},
Number = {8},
Pages = {816--827},
Volume = {14},
Doi = {10.1111/j.1461-0248.2011.01640.x},
ISSN = {1461-0248},
Keywords = {Bayesian statistics, indirect inference, intractable likelihood, inverse modelling, likelihood approximation, likelihood-free inference, maximum likelihood, model selection, parameter estimation, stochastic simulation},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2017.02.24},
Url = {http://dx.doi.org/10.1111/j.1461-0248.2011.01640.x}
}
@Article{hauge&al:2007,
Title = {Well Conditioning in Object Models},
Author = {Ragnar Hauge and Lars Holden and Anne Randi Syversveen},
Journal = {Mathematical Geology},
Year = {2007},
Month = {aug},
Number = {4},
Pages = {383--398},
Volume = {39},
Doi = {10.1007/s11004-007-9102-z},
Owner = {emanuel},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.05.14}
}
@Article{hauge&al:2006,
Title = {Object Models with Vector Steering},
Author = {Hauge, Ragnar and Syversveen, Anne Randi and Macdonald, Alister},
Journal = {Mathematical Geology},
Year = {2006},
Month = {Jan},
Number = {1},
Pages = {17--32},
Volume = {38},
Abstract = {Object models are widely used to model the distribution of facies in a reservoir. Several computer programs exist for modelling fluvial channels or more general facies objects. This paper focuses on a marked point model with objects that are able to orient locally according to a vector field. In this way, objects with locally varying curvature are created. With this kind of objects it is possible to model complex depositional basins, that are not easily modelled with conventional methods. The new object type is called Backbone objects. The objects have a piecewise linear centerline and are able to follow the direction of a three-dimensional vector field locally in lateral and vertical direction. How well the objects follow the vector field is determined by three parameters. Use of different coordinate systems and mapping between the systems make it possible to generate Gaussian random fields that follow the shape and direction of the objects. The Gaussian fields can be used to model petrophysical variables, which is important for fluid flow modelling.},
Day = {01},
Doi = {10.1007/s11004-005-9001-0},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.06}
}
@Article{healy&cook:2002,
Title = {Using groundwater levels to estimate recharge},
Author = {Richard W. Healy and Peter G. Cook},
Journal = {Hydrogeology Journal},
Year = {2002},
Month = {jan},
Number = {1},
Pages = {91--109},
Volume = {10},
Doi = {10.1007/s10040-001-0178-0},
Owner = {huber},
Publisher = {Springer Science + Business Media},
Timestamp = {2016.01.22},
Url = {http://dx.doi.org/10.1007/s10040-001-0178-0}
}
@Article{hedin&2011,
Title = {Stereological Method for Reducing Probability of Earthquake-Induced Damage in a Nuclear Waste Repository},
Author = {Hedin, Allan},
Journal = {Mathematical Geosciences},
Year = {2011},
Number = {1},
Pages = {1--21},
Volume = {43},
Abstract = {In Sweden, spent nuclear fuel is planned to be placed in copper/iron canisters and deposited at a depth of approximately 500 m in granitic rock. Earthquakes may induce secondary shear movements in fractures intersecting canister deposition holes, thereby threatening the integrity of the canisters. The extent of a secondary movement is related to earthquake distance and magnitude and to the size of the intersecting fracture. A probability of a canister being intersected by a critically large fracture can be calculated for given fracture size and orientation distributions, assuming that no measures are taken to identify and avoid such fractures. This paper analyses a stereological method of reducing this probability through observations of fractures fully intersecting the drift tunnels overlying the deposition holes. Deposition positions located in the planar extension of such full intersections are rejected. Both exact, numerical solutions and approximate solutions to this stereological problem are derived and the correctness of the solutions is verified by simulations. Also, the cost in terms of unutilised deposition positions is calculated. The probability of critical canister/fracture intersections is a few percent for typical fracture populations determined from field observations at a candidate site for a spent nuclear fuel repository in Sweden. By applying the suggested method, it is demonstrated that this probability can be reduced by a factor of about 35 in a typical case. The expense in terms of unutilised tunnel length is around 10 percent, which is seen as reasonable.},
Doi = {10.1007/s11004-010-9303-8},
ISSN = {1874-8953},
Owner = {huber},
Timestamp = {2016.05.10}
}
@Article{heinz&aigner:2003,
Title = {Three-dimensional {GPR} analysis of various {Q}uaternary gravel-bed braided river deposits (southwestern {G}ermany)},
Author = {J. Heinz and T. Aigner},
Journal = {Geological Society, London, Special Publications},
Year = {2003},
Month = {jan},
Number = {1},
Pages = {99--110},
Volume = {211},
Doi = {10.1144/gsl.sp.2001.211.01.09},
Owner = {emanuel},
Publisher = {Geological Society of London},
Timestamp = {2015.05.12}
}
@Article{heinz&al:2003,
Title = {Heterogeneity patterns of {Q}uaternary glaciofluvial gravel bodies ({SW}-{G}ermany): application to hydrogeology},
Author = {Jürgen Heinz and Sybille Kleineidam and Georg Teutsch and Thomas Aigner},
Journal = {Sedimentary Geology},
Year = {2003},
Number = {1--2},
Pages = {1--23},
Volume = {158},
Abstract = {The architecture of sedimentary bodies determines the heterogeneity of many aquifers. Thus, for environmental risk-assessment and quantification of clean-up efficiencies, determination of the spatial distribution of hydraulic properties is required. In this study, outcrop analogues of glaciofluvial gravel-bed deposits are used for a process-based analysis of sedimentary heterogeneities, which in turn are transformed into hydraulic parameters. Three scales of heterogeneities are distinguished: (a) the lithofacies-scale is formed by unique transport and depositional processes that form the fundamental building blocks (hydrofacies types), (b) the depositional element-scale shows distinct geometrical characteristics (internal structure and bounding surfaces) and determines the local distribution of lithofacies and, hence, the correlation structure of permeabilities, (c) the architectural-scale of gravel bodies is formed by the stacking of depositional elements, which is controlled by the dynamics of aggrading paleofluvial systems. Comparison of numerous gravel pits in SW-Germany revealed three major architectural patterns of glaciofluvial gravel bodies that can be distinguished statistically by the preservation of depositional elements as well as the frequency of lithofacies types. The facies analysis results in three conceptual facies models of proglacial river systems, which are regionally classified as ?main-?, ?intermediate-? and ?minor? discharge types. Based on calculated and laboratory measured hydraulic properties of the various lithofacies types detailed outcrop wall maps were digitized into polygons of defined hydrofacies types by using the \{GIS\} system Arc Info. The two-dimensional fields of hydraulic properties were then transferred into a numerical model of groundwater flow. Modeling results clearly illustrate that the three heterogeneity patterns of gravel bodies also have distinguishable hydraulic response characteristics.},
Doi = {10.1016/S0037-0738(02)00239-7},
File = {original paper:papers\\2003_heinz-et-al_heterogeneity-glaciofluvial-gravel-bodies.pdf:PDF},
Groups = {heterogeneity, sedimentological model, à la Huggenberger, lithofaces-hydrofacies, modelling, observation},
ISSN = {0037-0738},
Keywords = {Coarse-grained braided river deposits, Lithofacies, Hydrofacies, Hydraulic parameterization },
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Article{hemker&al:2004,
Title = {Ground Water Whirls},
Author = {Hemker, Kick and van den Berg, Elmer and Bakker, Mark},
Journal = {Ground Water},
Year = {2004},
Number = {2},
Pages = {234--242},
Volume = {42},
Doi = {10.1111/j.1745-6584.2004.tb02670.x},
Groups = {mixing},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.01.28}
}
@Article{hermans&al:2016,
Title = {Direct prediction of spatially and temporally varying physical properties from time-lapse electrical resistance data},
Author = {Thomas Hermans and Erasmus Oware and Jef Caers},
Journal = {Water Resources Research},
Year = {2016},
Month = {sep},
Number = {9},
Pages = {7262--7283},
Volume = {52},
Doi = {10.1002/2016wr019126},
Owner = {huber},
Publisher = {Wiley-Blackwell},
Timestamp = {2017.09.24},
Url = {https://doi.org/10.1002/2016wr019126}
}
@Article{hermans&al:2012,
Title = {A shallow geothermal experiment in a sandy aquifer monitored using electric resistivity tomography},
Author = {Thomas Hermans and Alexander Vandenbohede and Luc Lebbe and Fr{\'{e}}d{\'{e}}ric Nguyen},
Journal = {Geophysics},
Year = {2012},
Month = {jan},
Number = {1},
Pages = {B11--B21},
Volume = {77},
Doi = {10.1190/geo2011-0199.1},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.05.06}
}
@InCollection{hicks&al:2002,
Title = {New views of the morphodynamics of large braided rivers from high-resolution topographic surveys and time-lapse video.},
Author = {Hicks, D. M. and Duncan, M.J. and Walsh, J.M. and Westaway, R.M. and Lane, S.N.},
Booktitle = {The structure, function and management of fluvial sedimentary systems},
Publisher = {International Association of Hydrological Sciences},
Year = {2002},
Address = {Wallingford, United Kingdom},
Editor = {F. J. Dyer and M. C. Thoms and J. M. Olley},
Pages = {373--380.},
Volume = {276},
Owner = {emanuel},
Timestamp = {2015.05.08}
}
@InCollection{hicks&al:2007,
Title = {21 Contemporary morphological change in braided gravel-bed rivers: new developments from field and laboratory studies, with particular reference to the influence of riparian vegetation},
Author = {D. Murray Hicks and Maurice J. Duncan and Stuart N. Lane and Michal Tal and Richard Westaway},
Booktitle = {Developments in Earth Surface Processes},
Publisher = {Elsevier {BV}},
Year = {2007},
Editor = {Helmut Habersackand Hervé Piégay and Massimo Rinaldi},
Pages = {557--584},
Doi = {10.1016/s0928-2025(07)11143-3},
Owner = {emanuel},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1016/S0928-2025(07)11143-3}
}
@Article{hoeksema&kitadinis:1984,
Title = {An Application of the Geostatistical Approach to the Inverse Problem in Two-Dimensional Groundwater Modeling},
Author = {Robert J. Hoeksema and Peter K. Kitanidis},
Journal = {Water Resources Research},
Year = {1984},
Month = {jul},
Number = {7},
Pages = {1003--1020},
Volume = {20},
Doi = {10.1029/wr020i007p01003},
Owner = {hubere},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1029/WR020i007p01003}
}
@Article{holden&al:1998,
Title = {Modeling of Fluvial Reservoirs with Object Models},
Author = {Holden, L. and Hauge, R. and Skare, {\O}. and Skorstad, A.},
Journal = {Mathematical Geology},
Year = {1998},
Month = {Jul},
Number = {5},
Pages = {473--496},
Volume = {30},
Abstract = {An object model for fluvial reservoirs that has been developed from 1985 to present is described. It uses a formal mathematical object model (marked point process) describing the distributions of four facies: channel, crevasse, barrier, and background. Realisations from the model are generated using the Metropolis-Hastings simulation algorithm with simulated annealing conditioning on the volume ratios and well observations. The main challenge has been to find a suitable parameterization of the geology of fluvial reservoirs, and to find and implement the generating function of the channels in the simulation algorithm. The model and simulation algorithm can be conditioned on arbitrary well paths including horizontal wells and paths with partly missing observations, well test data, well contacts, seismic data, and general geological knowledge. },
Day = {01},
Doi = {10.1023/A:1021769526425},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.03}
}
@InCollection{holliger&goff:2003,
Title = {A generalised model for the 1/f-scaling nature of seismic velocity fluctuations},
Author = {Holliger K., Goff J.A},
Booktitle = {Heterogeneity in the Crust and Upper Mantle? Nature, Scaling, and Seismic Properties},
Year = {2003},
Edition = {Klu},
Editor = {Goff, John A. and Holliger, Klaus},
Pages = {131--154},
ISBN = {0306474476},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{holliger:1996,
Title = {Upper-crustal seismic velocity heterogeneity as derived from a variety of {P}-wave sonic logs},
Author = {K. Holliger},
Journal = {Geophysical Journal International},
Year = {1996},
Month = {jun},
Number = {3},
Pages = {813--829},
Volume = {125},
Doi = {10.1111/j.1365-246x.1996.tb06025.x},
Owner = {emanuel},
Publisher = {Oxford University Press ({OUP})},
Timestamp = {2015.05.28}
}
@Article{hotelling:1936,
Title = {Relations between two sets of variates},
Author = {Hotelling, Harold},
Journal = {Biometrika},
Year = {1936},
Number = {3--4},
Pages = {321--377},
Volume = {28},
Doi = {10.1093/biomet/28.3-4.321},
Owner = {huber},
Timestamp = {2017.09.17}
}
@Article{howard&al:1970,
Title = {Topological and Geometrical Properties of Braided Streams},
Author = {Howard, Alan D. and Keetch, Mary E. and Vincent, C. Linwood},
Journal = {Water Resources Research},
Year = {1970},
Number = {6},
Pages = {1674--1688},
Volume = {6},
Abstract = {Strong relationships among dimensionless properties of braided streams indicate that similarity is preserved in streams with the same average number of channels but of different sizes. The degree of braiding in streams, conveniently measured by the average number of channels bisected by lines crossing the channel, increases with the product of discharge and gradient, but decreases with higher variance in discharge. A random walk simulation model of braiding duplicates many of the numerical relationships observed in natural streams, suggesting that most of the downstream variation in the number of channels in braided streams is explainable by local fluctuations in discharge and sediment in transport, as opposed to large-scale factors such as valley constriction.},
Doi = {10.1029/WR006i006p01674},
ISSN = {1944-7973},
Owner = {hubere},
Timestamp = {2015.05.08}
}
@Book{howard&reed:2010,
Title = {Unbiased Stereology},
Author = {C.V. Howard and M.G. Reed},
Publisher = {QTP Publications},
Year = {2010},
ISBN = {978-0-9565132-0-5},
Owner = {huber},
Timestamp = {2016.05.06}
}
@Article{hu&chugunova:2008,
Title = {Multiple-point geostatistics for modeling subsurface heterogeneity: {A} comprehensive review},
Author = {L. Y. Hu and T. Chugunova},
Journal = {Water Resources Research},
Year = {2008},
Month = {nov},
Number = {11},
Volume = {44},
Doi = {10.1029/2008wr006993},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.15},
Url = {http://dx.doi.org/10.1029/2008WR006993}
}
@Article{hubbard&rubin:2000,
Title = {Hydrogeological parameter estimation using geophysical data: a review of selected techniques },
Author = {Susan S. Hubbard and Yoram Rubin},
Journal = {Journal of Contaminant Hydrology },
Year = {2000},
Number = {1--2},
Pages = {3--34},
Volume = {45},
Abstract = {Subsurface environmental, engineering, and agricultural investigations often require characterization of hydraulic parameters. For example, groundwater flow modeling is often performed through an aquifer whose hydrological properties have been created using stochastic simulation techniques; these techniques use as input both hydraulic parameter point values and spatial correlation structure information. Conventional sampling or borehole techniques for measuring these parameters are costly, time-consuming, and invasive. Geophysical data can compliment direct characterization data by providing multi-dimensional and high resolution subsurface measurements in a minimally invasive manner. Several techniques have been developed in the preceding decade for using joint geophysical–hydrological data to characterize the subsurface; the purpose of this study is to review three methodologies that we have recently developed for use with geophysical–hydrological data to estimate hydrological parameters and their spatial correlation structures. The first two methodologies presented focus on producing high-resolution estimates of hydrological properties using densely sampled geophysical data and limited borehole data. Although we find that high-resolution geophysical data are useful for obtaining these estimates, in practice, geophysical profiles often sample only a small portion of the aquifer under investigation, and thus, the estimates obtained from geophysical data may not be sufficient to completely describe the hydraulic properties of the aquifer volume. The third and last section focuses on using high-resolution tomographic data together with limited borehole data to infer the spatial correlation structure of log-permeability, which can be used within stochastic simulation techniques to generate parameter estimates at unsampled locations. Our synthetic case studies suggest that collection of a few tomographic profiles and interpretation of these profiles together with limited wellbore data can yield hydrological point values and spatial correlation structure information that can be used to aid numerical aquifer model construction, calibration, and flow simulation. As this information is typically only obtainable from extensive hydrological sampling, use of geophysical methods may offer a more efficient and less invasive approach than traditional characterization campaigns. },
Doi = {10.1016/S0169-7722(00)00117-0},
ISSN = {0169-7722},
Keywords = {Hydrogeological parameter estimation},
Owner = {huber},
Timestamp = {2016.07.22},
Url = {http://www.sciencedirect.com/science/article/pii/S0169772200001170}
}
@Article{hubbard&al:1999,
Title = {Spatial correlation structure estimation using geophysical and hydrogeological data},
Author = {Hubbard, Susan S. and Rubin, Yoram and Majer, Ernie},
Journal = {Water Resources Research},
Year = {1999},
Number = {6},
Pages = {1809--1825},
Volume = {35},
Doi = {10.1029/1999WR900040},
ISSN = {1944-7973},
Keywords = {Wave propagation, Seismic methods, Exploration Geophysics, Groundwater hydrology, Stochastic hydrology},
Url = {http://dx.doi.org/10.1029/1999WR900040}
}
@Article{hubbard&al:1997,
Title = {Ground-penetrating-radar-assisted saturation and permeability estimation in bimodal systems},
Author = {Hubbard, Susan S. and Rubin, Yoram and Majer, Ernie},
Journal = {Water Resources Research},
Year = {1997},
Number = {5},
Pages = {971--990},
Volume = {33},
Doi = {10.1029/96WR03979},
ISSN = {1944-7973},
Keywords = {Soil moisture, Stochastic hydrology, Permeability and porosity, Tomography and imaging},
Owner = {huber},
Timestamp = {2016.07.16},
Url = {http://dx.doi.org/10.1029/96WR03979}
}
@Article{huber&huggenberger:2016,
Title = {Subsurface flow mixing in coarse, braided river deposits},
Author = {Huber, E. and Huggenberger, P.},
Journal = {Hydrology and Earth System Sciences},
Year = {2016},
Number = {5},
Pages = {2035--2046},
Volume = {20},
Doi = {10.5194/hess-20-2035-2016},
Owner = {huber},
Timestamp = {2016.05.06},
Url = {http://www.hydrol-earth-syst-sci.net/20/2035/2016/}
}
@Article{huber&huggenberger:2015,
Title = {{Morphological perspective on the sedimentary characteristics of a coarse, braided reach: Tagliamento River (NE Italy).}},
Author = {Huber, E. and Huggenberger, P.},
Journal = {Geomorphology},
Year = {2015},
Pages = {111--124},
Volume = {248},
Doi = {doi:10.1016/j.geomorph.2015.07.015},
ISSN = {0169-555X},
Owner = {emanuel},
Timestamp = {2015.05.26}
}
@Article{huggenberger:1993,
Title = {Radar facies: recognition of facies patterns and heterogeneities within {P}leistocene {R}hine gravels, {NE} {S}witzerland},
Author = {Huggenberger, Peter},
Journal = {Geological Society, London, Special Publications},
Year = {1993},
Number = {1},
Pages = {163--176},
Volume = {75},
Abstract = {Pleistocene braided-river deposits in river valleys constitute a large fraction of natural groundwater reservoirs in Switzerland. A key for estimating the residence times of water and for determining the extent of macrodispersion, which describes large-scale mixing processes in the aquifers, is a knowledge of the distribution of hydraulic conductivities. In many contamination problems, sedimentological information is sparse and drill-core descriptions and pumping-tests only give a limited picture of the geometry of inhomogeneities. Ground-probing radar (GPR) offers the potential to resolve sedimentary structures and lithofacies in gravel deposits. For example, the geometry of characteristic sedimentary structures and the textures of late Pleistocene Rhine gravel are portrayed on GPR reflection images.Because of the ability of the GPR method to detect changes in water content, the reflection image can be related to small changes in the degree of sediment saturation, which may also reflect a change in sediment composition. This allows a distinction between several characteristic lithofacies that are typical of late Pleistocene braided-river depositional systems. The main limitation of the GPR method is the rapid attenuation of electromagnetic waves in the ground, especially in clay-covered regions.},
Doi = {10.1144/GSL.SP.1993.075.01.10},
Eprint = {http://sp.lyellcollection.org/content/75/1/163.full.pdf+html},
Owner = {hubere},
Timestamp = {2015.05.05}
}
@Article{huggenberger&aigner:1999,
Title = {Introduction to the special issue on aquifer-sedimentology: problems, perspectives and modern approaches},
Author = {Huggenberger, Peter and Aigner, Tom},
Journal = {Sedimentary Geology},
Year = {1999},
Number = {3--4},
Pages = {179--186},
Volume = {129},
Abstract = {Progress towards a better understanding of groundwater circulation and transport processes in aquifers demands a multidisciplinary approach to a host of unresolved problems. Although much progress has been made within recent years in interpreting the dynamic character of groundwater systems, many key issues remain to be addressed. In particular, several areas demand attention: the role of sedimentological information (heterogeneity) in groundwater and transport models, the scaling-up of observations from outcrop scale to larger scales and the integration of geological and geophysical information of different quality into the description of an aquifer structure. Still nowadays many of the heterogeneities cannot be recognized directly because of the limitation of measurement techniques. This is probably one of the reasons for the limited application of aquifer-sedimentology and geophysics in practical cases. In order to consolidate, expand, and make a larger number of people aware of the contribution of modern aquifer-sedimentology, including modelling and ultra-high resolution geophysical methods, several lines of intervention were identified: (1) a better collaboration of the different disciplines on site-specific applied problems; (2) development of new modelling techniques combining data of different quality; (3) development of optimizing tools (position and number of wells, additional geophysical methods, baysian techniques); (4) development of a `common language' among sedimentologists and hydrogeologists to overcome communication problems.},
Doi = {10.1016/S0037-0738(99)00101-3},
File = {original paper:papers\\1999_huggenberger-and-aignier_intro-special-issue-aquifer-sedimentol.pdf:PDF},
Groups = {hydrogeology, heterogeneity, fluvial sedimentology, review, concepts, future},
ISSN = {0037-0738},
Keywords = {aquifer-sedimentology},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Book{huggenberger&epting:2011,
Title = {Urban Geology},
Author = {Peter Huggenberger and Jannis Epting},
Publisher = {Springer Basel},
Year = {2011},
Doi = {10.1007/978-3-0348-0185-0},
ISBN = {978-3-0348-0184-3},
Owner = {emanuel},
Timestamp = {2015.05.15}
}
@Article{huggenberger&al:1998,
Title = {Abiotic aspects of channels and floodplains in riparian ecology},
Author = {P. Huggenberger and E. Hoehn and R. Beschta and W. Woessner},
Journal = {Freshwater Biology},
Year = {1998},
Number = {3},
Pages = {407--425},
Volume = {40},
Abstract = {1. The ecology of riparian zones is enormously influenced by the heterogeneous sedimentary structures and associated complex hydrologic flow paths that mediate surface- and groundwater exchanges. Sedimentary structures form a three-dimensional, dynamic framework that controls subsurface flow and the vertical and horizontal exchange of water between channels and floodplains in gravel bed rivers. The modern structure of the bed sediments reflects the legacy of cut and fill alluviation for a particular river basin.2. Highly permeable sedimentary textures, particularly open framework gravels, allow rapid exchange between surface and groundwaters.3. Ground penetrating radar provides high resolution information on the nature and three-dimensional distribution of the sediments within the shallow subsurface of gravel bed rivers. Bed sediments can be mapped at the decimeter scale.4. Exchange and mixing of ground and channel water occurs along losing, gaining and flow-through reaches as determined by the hydraulic gradient and transmissivity of the bed sediments.5. Spatial and temporal patterns of surface- and groundwater interactions can be quantified by mass flux measurements and by assessing geochemical contrasts. Natural tracers, such as temperature or radon, are well suited for mapping exchange sites and quantifying interactions. Artificial signals produced by injecting anions, like chloride, bromide and organic dyes are also useful.6. The study of riparian ecosystems requires an understanding of the geomorphic structures and processes that build and maintain bed sediments and flow pathways through them.},
Doi = {10.1046/j.1365-2427.1998.00371.x},
File = {original paper:papers\\1998_Huggenberger-et-al_abiotic-aspect-channel-and-floodplain.pdf:PDF},
Groups = {sedimentology, à la Huggenberger, concepts},
ISSN = {1365-2427},
Keywords = {alluvial rivers, gravel transport, geomorphology, geohydrology, bed sediments, riparian},
Owner = {hubere},
Publisher = {Blackwell Science Ltd},
Timestamp = {2013.04.23}
}
@Article{huggenberger&al:1994,
Title = {Ground-probing radar as a tool for heterogeneity estimation in gravel deposits: advances in data-processing and facies analysis},
Author = {Peter Huggenberger and Edi Meier and André Pugin},
Journal = {Journal of Applied Geophysics},
Year = {1994},
Note = {Geophysics and Environment},
Number = {1--4},
Pages = {171--184},
Volume = {31},
Abstract = {Pleistocene gravely braided-river deposits in river valleys constitute a large fraction of the natural ground-water reservoirs in Switzerland. The knowledge of the distribution and variability of hydraulic conductivity within these deposits are key factors for the estimation of water residence times and of description of large-scale mixing procesess in aquifers such as macrodispersion. It has been shown elsewhere that the spatial variability of hydraulic conductivity is related to the composition and the characteristic dimensions of sedimentary structures, which are themselves related to the dynamics of ancient braided-river systems. In many contamination problems, sedimentological information is sparse and drill-core descriptions and pumping-tests only give a limited picture of the geometry of inhomogeneities. The ground-probing radar (GPR) method is a promising tool for resolving changes of physical properties in gravel deposits at the scale of natural inhomogeneities arising from changing sedimentary composition. However, the main limitation of GPR is the rapid attenuation of electromagnetic waves in subsurface sediments such as gravels, which leads to a limited penetration of the order of 10 to 15 m for a 250 MHz antenna. The objectives of our present work are: 1. (1) To show how digital processing methods similar to reflection seismics may be applied for velocity and profile processing. These methods can improve both the resolution of radar profiles, in particular at greater depths, and the determination of velocity distributions from CDP experiments. 2. (2) To examine whether and to what extent the characteristic lithofacies of Pleistocene gravel deposits can be recognized as mappable reflection patterns on ground-probing radar (GPR) reflection profiles in order to gain information about the geometry of inhomogeneities. Using modern digital data processing methods, such as band pass, high- or low-cut filtering, deconvolution and velocity analysis, much more significant information can be obtained from the recorded GRP field data-sets. Our results demonstrate that on GPR reflection images the basic fluvial forms such as (1) pool deposits generated at the junction of two channels, and (2) channel deposits may be distiguished. Their shape and characteristic spatial dimensions may be recognized from a series of profiles in different directions. Because the method can detect changes in the water content, the reflection image may be related even to small changes in the degree of saturation of the sediments. Thus reflectors can indicate the changing composition of sediments.},
Doi = {10.1016/0926-9851(94)90056-6},
File = {original paper:papers\\1994_Huggenberger-et-al_GPR-tool-for-heterogeneity-estimation.pdf:PDF;Emanuel's notes:papers\\1994_Huggenberger-et-al_GPR-tool-for-heterogeneity-estimation.doc:Word},
Groups = {GPR, sedimentology, sedimentological model, à la Huggenberger},
ISSN = {0926-9851},
Owner = {hubere},
Review = {Finally, the method could potentially be used to estimate the pool-fill ratio or scour-fill, which is an expression for the ratio of braiding intensity/aggradation rate.},
Timestamp = {2011.04.19}
}
@InCollection{huggenberger&regli:2006,
Title = {A Sedimentological Model to Characterize Braided River Deposits for Hydrogeological Applications},
Author = {Huggenberger, Peter and Regli, Christian},
Booktitle = {Braided Rivers},
Publisher = {Blackwell Publishing Ltd.},
Year = {2006},
Chapter = {3},
Editor = {Sambrook Smith, G. H. and Best, J. L. and Bristow, C. S. and Petts, G. E.},
Pages = {51--74},
Abstract = {Braided river deposits form important aquifers in many parts of the world, and their heterogeneity strongly influences groundwater flow and mass transport processes. To accurately characterize these coarse gravelly aquifers, it is important to understand the erosional and depositional processes that form these sediments. Moreover, it is important to evaluate the relative importance of various parameters that determine the preservation potential of different depositional elements over geological time scales. These objectives may be achieved by developing techniques that allow for the integration of different quality data into quantitative models. Information concerning sedimentary textures and the spatial continuity of sedimentary structures in braided river deposits, inherent in depositional facies descriptions, allows the spatial variability of hydrogeological properties (e.g. hydraulic conductivity and porosity) to be predicted. Depositional elements in gravel deposits can contain a restricted range of textures, which form a limited number of sedimentary structures. These depositional elements are bounded by erosional and/or lithological surfaces. The frequency, size and shape of different elements in a sedimentary sequence depend on several factors, including aggradation rate, channel belt mobility on the kilometre scale, gravel-sheet/scour activity at the scale of hundreds of metres and topographic position of the different elements within an evolving system. Preserved shape and size of the elements affect the correlation lengths and the standard deviations of the aquifer properties, such as hydraulic conductivity and porosity. Different quality data sets that may be used in characterizing braided river deposits can be recognized in outcrop, boreholes and on ground-penetrating radar (GPR) sections. This paper proposes a means of integrating outcrop, borehole and GPR data into a stochastic framework of sedimentary structures and the distribution of hydraulic aquifer properties. Data integration results in variable degrees of uncertainty when assigning values to hydraulic properties and characterizing the geometry of sedimentary structures. An application of this approach is illustrated using a data set (400 m ? 550 m) from the northeastern part of Switzerland at the confluence of the Rhine and Wiese rivers. The data set includes drill-core data from five boreholes and 14 GPR sections with a total length of 3040 m. The results of the variogram analysis provide the orientation of sedimentary structure types representing the main flow direction of the River Rhine in the lower part of the aquifer, and of the River Wiese in the upper part. The analysis also results in large ranges of spatial correlation, ranging from a few metres up to tens of metres for the different sedimentary structure types.},
Doi = {10.1002/9781444304374.ch3},
File = {original paper:papers\\2006_huggenberger-and-regli_sedimentological model-braided-system.pdf:PDF;Emanuel's notes:papers\\2006_huggenberger-and-regli_sedimentological model-braided-system.doc:Word},
Groups = {sedimentology, fluvial sedimentology, sedimentological model, à la Huggenberger, geostatistics, concepts},
ISBN = {9781444304374},
Keywords = {Gravel heterogeneity, sedimentological model, stochastic modelling, groundwater},
Owner = {hubere},
Timestamp = {2011.03.28}
}
@Article{huggenberger&al:1988,
Title = {Grundwasserströmung in {S}chottern; {E}influss von {A}blagerungsformen auf die {V}erteilung der {G}rundwasserfliessgeschwindigkeit},
Author = {Huggenberger, P. and Siegenthaler, C. and Stauffer, F.},
Journal = {Wasserwirtschaft},
Year = {1988},
Number = {5},
Pages = {202--212},
Volume = {78},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@Article{hundey&ashmore:2009,
Title = {Length scale of braided river morphology},
Author = {Hundey, E. J. and Ashmore, P. E.},
Journal = {Water Resources Research},
Year = {2009},
Number = {8},
Pages = {n/a--n/a},
Volume = {45},
Abstract = {Pool-bar topography in single-channel rivers has a length scale proportional to channel width. In braided rivers confluence-bifurcation units are analogous to pool-bar morphology and, in some cases, develop from initial alternate bars. Consequently, confluence-bifurcation units are expected to have length that scales with the central anabranch width and that constitutes a basic length scale braided channel morphology. This idea was tested using measurements from a physical model of a gravel bed braided river and from aerial photographs of braided rivers. Length (distance from confluence to bifurcation), anabranch width, and confluence angle of confluence-bifurcation units were measured. A simple length scaling is evident across the range of scales; confluence-bifurcation length is 4--5 times the channel width. This scaling is a fundamental element of braided river morphology and suggests that braided patterns are created by processes, and have morphological regularity, similar to pool-bar units of low-sinuosity single-thread rivers.},
Doi = {10.1029/2008WR007521},
ISSN = {1944-7973},
Keywords = {braided river, bar, confluence, channel pattern},
Owner = {hubere},
Timestamp = {2014.05.26},
Url = {http://dx.doi.org/10.1029/2008WR007521}
}
@Article{hunter:2003,
Title = {Amplitude and frequency dependence of spike timing: implications for dynamic regulation.},
Author = {Hunter, J. D. and Milton, J. G.},
Journal = {Journal of Neurophysiology},
Year = {2003},
Month = jul,
Number = {1},
Pages = {387--394},
Volume = {90},
Abstract = {The spike-time reliability of motoneurons in the Aplysia buccal motor ganglion was studied as a function of the frequency content and the relative amplitude of the fluctuations in the neuronal input, calculated as the coefficient of variation ({CV}). Measurements of spike-time reliability to sinusoidal and aperiodic inputs, as well as simulations of a noisy leaky integrate-and-fire neuron stimulated by spike trains drawn from a periodically modulated process, demonstrate that there are three qualitatively different {CV}-dependent mechanisms that determine reliability: noise-dominated ({CV} < 0.05 for Aplysia motoneurons) where spike timing is unreliable regardless of frequency content; resonance-dominated ({CV} approximately 0.05-0.25) where reliability is reduced by removal of input frequencies equal to motoneuron firing rate; and amplitude-dominated ({CV} >0.35) where reliability depends on input frequencies greater than motoneuron firing rate. In the resonance-dominated regime, changes in the activity of the presynaptic inhibitory interneuron B4/5 alter motoneuron spike-time reliability. The increases or decreases in reliability occur coincident with small changes in motoneuron spiking rate due to changes in interneuron activity. Injection of a hyperpolarizing current into the motoneuron reproduces the interneuron-induced changes in reliability. The rate-dependent changes in reliability can be understood from the phase-locking properties of regularly spiking motoneurons to periodic inputs. Our observations demonstrate that the ability of a neuron to support a spike-time code can be actively controlled by varying the properties of the neuron and its input.},
Address = {Department of Neurology, University of Chicago, Chicago, Illinois 60615, USA.},
Doi = {10.1152/jn.00074.2003},
ISSN = {0022-3077},
Keywords = {coding, lif, noise, oscillation, sine},
Owner = {emanuel},
Pmid = {12634276},
Posted-at = {2006-10-27 12:44:47},
Timestamp = {2013.02.25}
}
@Article{huysmans&dassargues:2009,
Title = {Application of multiple-point geostatistics on modelling groundwater flow and transport in a cross-bedded aquifer (Belgium)},
Author = {Marijke Huysmans and Alain Dassargues},
Journal = {Hydrogeology Journal},
Year = {2009},
Number = {8},
Pages = {1901--1911},
Volume = {17},
Doi = {10.1007/s10040-009-0495-2},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2017.06.23}
}
@Article{hwang&al:2013,
Title = {A unified approach to multiple-set canonical correlation analysis and principal components analysis},
Author = {Hwang, Heungsun and Jung, Kwanghee and Takane, Yoshio and Woodward, Todd S.},
Journal = {British Journal of Mathematical and Statistical Psychology},
Year = {2013},
Month = {5},
Number = {2},
Pages = {308--321},
Volume = {66},
Abstract = {Multiple-set canonical correlation analysis and principal components analysis are popular data reduction techniques in various fields, including psychology. Both techniques aim to extract a series of weighted composites or components of observed variables for the purpose of data reduction. However, their objectives of performing data reduction are different. Multiple-set canonical correlation analysis focuses on describing the association among several sets of variables through data reduction, whereas principal components analysis concentrates on explaining the maximum variance of a single set of variables. In this paper, we provide a unified framework that combines these seemingly incompatible techniques. The proposed approach embraces the two techniques as special cases. More importantly, it permits a compromise between the techniques in yielding solutions. For instance, we may obtain components in such a way that they maximize the association among multiple data sets, while also accounting for the variance of each data set. We develop a single optimization function for parameter estimation, which is a weighted sum of two criteria for multiple-set canonical correlation analysis and principal components analysis. We minimize this function analytically. We conduct simulation studies to investigate the performance of the proposed approach based on synthetic data. We also apply the approach for the analysis of functional neuroimaging data to illustrate its empirical usefulness.},
Doi = {10.1111/j.2044-8317.2012.02052.x},
ISSN = {2044-8317},
Owner = {huber},
Publisher = {Wiley Online Library},
Timestamp = {2016.05.07}
}
@Article{deiaco&maggio:2011,
Title = {Validation Techniques for Geological Patterns Simulations Based on Variogram and Multiple-Point Statistics},
Author = {S. De Iaco and S. Maggio},
Journal = {Mathematical Geosciences},
Year = {2011},
Number = {4},
Pages = {483--500},
Volume = {43},
Doi = {10.1007/s11004-011-9326-9},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2017.06.23}
}
@Book{illian&al:2008,
Title = {Statistical analysis and modelling of spatial point patterns},
Author = {Illian, J. and Penttinen, A. and Stoyan, H. and Stoyan, D.},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2008},
ISBN = {978-0-470-01491-2},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@Book{ingebritsen&al:2006,
Title = {Groundwater in Geologic Processes},
Author = {Steven E. Ingebritsen and Ward E. Sanford and Christopher E. Neuzil},
Publisher = {Cambridge University Press},
Year = {2006},
Owner = {huber},
Timestamp = {2016.10.21}
}
@Article{irvine&al:2012,
Title = {Heterogeneous or homogeneous? Implications of simplifying heterogeneous streambeds in models of losing streams },
Author = {Dylan J. Irvine and Philip Brunner and Harrie-Jan Hendricks Franssen and Craig T. Simmons},
Journal = {Journal of Hydrology },
Year = {2012},
Pages = {16 - 23},
Volume = {424–425},
Abstract = {Summary A common approach in modeling surface water–groundwater interaction is to represent the streambed as a homogeneous geological structure with hydraulic properties obtained by means of model calibration. In reality, streambeds are highly heterogeneous, and there are currently no methodical investigations to justify the simplification of this geologic complexity. Using a physically based numerical model, synthetic surface water–groundwater infiltration flux data were generated using heterogeneous streambeds for losing connected, losing transitional and losing disconnected streams. Homogeneous streambed hydraulic conductivities were calibrated to reproduce these fluxes. The homogeneous equivalents were used for predicting infiltration fluxes between streams and the aquifer under different hydrological conditions (i.e. for different states of connection). Homogeneous equivalents are shown to only accurately reproduce infiltration fluxes if both the calibration and prediction are made for a connected flow regime, or if both the calibration and prediction are made for a disconnected flow regime. The greatest errors in flux (±34%) using homogeneous equivalents occurred when there was a mismatch between the flow regime of the observation data and the prediction. These errors are comparatively small when compared with field measurement errors for hydraulic conductivity, however over long river reaches these errors can amount to significant volumes of water. },
Doi = {10.1016/j.jhydrol.2011.11.051},
ISSN = {0022-1694},
Keywords = {Groundwater/surface water interaction},
Owner = {huber},
Timestamp = {2016.01.27},
Url = {http://www.sciencedirect.com/science/article/pii/S0022169411008365}
}
@Article{irving&holliger:2010,
Title = {Geostatistical inversion of seismic and ground-penetrating radar reflection images: What can we actually resolve?},
Author = {James Irving and Klaus Holliger},
Journal = {Geophysical Research Letters},
Year = {2010},
Month = {nov},
Number = {21},
Volume = {37},
Doi = {10.1029/2010gl044852},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1029/2010GL044852}
}
@Article{jankovic&al:2009,
Title = {Is transverse macrodispersivity in three-dimensional groundwater transport equal to zero? A counterexample},
Author = {Janković, Igor and Steward, David R. and Barnes, Randal J. and Dagan, Gedeon},
Journal = {Water Resources Research},
Year = {2009},
Note = {W08415},
Number = {8},
Pages = {n/a--n/a},
Volume = {45},
Doi = {10.1029/2009WR007741},
ISSN = {1944-7973},
Keywords = {Groundwater transport, Stochastic hydrology, Groundwater quality, Groundwater hydrology, dilute medium approximation, transverse dispersion, inclusion, analytic element method},
Owner = {huber},
Timestamp = {2016.01.27}
}
@Article{jeong&al:2006,
Title = {Interactive 3D seismic fault detection on the Graphics Hardware},
Author = {Jeong, Won-Ki and Whitaker, Ross and Dobin, Mark},
Journal = {Volume Graphics},
Year = {2006},
Owner = {huber},
Timestamp = {2016.07.17}
}
@Article{jiang:2007,
Title = {Extracting image orientation feature by using integration operator },
Author = {Xudong Jiang},
Journal = {Pattern Recognition },
Year = {2007},
Number = {2},
Pages = {705--717},
Volume = {40},
Abstract = {This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation estimate, based on which an orientation operator is proposed. The resulting discrete operator has flexibility in the scale selection as the scale change does not violate the bias minimization criteria. An analytical formula is developed to compare orientation biases of various discrete operators. The proposed operator shows lower bias than eight well-known gradient operators. Experiments further demonstrate higher orientation accuracy of the proposed operator than these gradient operators. },
Doi = {10.1016/j.patcog.2006.04.028},
ISSN = {0031-3203},
Keywords = {Feature extraction},
Owner = {huber},
Timestamp = {2016.07.24},
Url = {http://www.sciencedirect.com/science/article/pii/S0031320306001853}
}
@Article{jimenez-martinez&al:2013,
Title = {Temporal and spatial scaling of hydraulic response to recharge in fractured aquifers: Insights from a frequency domain analysis},
Author = {Jiménez-Martínez, Joaquín and Longuevergne, Laurent and Le Borgne, Tanguy and Davy, Philippe and Russian, Anna and Bour, Olivier},
Journal = {Water Resources Research},
Year = {2013},
Number = {5},
Pages = {3007--3023},
Volume = {49},
Doi = {10.1002/wrcr.20260},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology, Stochastic hydrology, Time series analysis, fractured aquifers, frequency domain, connectivity, scale effects, aquifer recharge mechanisms},
Owner = {huber},
Timestamp = {2016.05.16}
}
@Book{jol:2009,
Title = {Ground Penetrating Radar Theory and Applications},
Author = {Jol, Harry M.},
Editor = {Harry M. Jol},
Publisher = {Elsevier},
Year = {2009},
Abstract = {Ground-penetrating radar (GPR) is a rapidly developing field that has seen tremendous progress over the past 15 years. The development of GPR spans aspects of geophysical science, technology, and a wide range of scientific and engineering applications. It is the breadth of applications that has made GPR such a valuable tool in the geophysical consulting and geotechnical engineering industries, has lead to its rapid development, and inspired new areas of research in academia. The topic of GPR has gone from not even being mentioned in geophysical texts ten years ago to being the focus of hundreds of research papers and special issues of journals dedicated to the topic. The explosion of primary literature devoted to GPR technology, theory and applications, has lead to a strong demand for an up-to-date synthesis and overview of this rapidly developing field. Because there are specifics in the utilization of GPR for different applications, a review of the current state of development of the applications along with the fundamental theory is required. This book will provide sufficient detail to allow both practitioners and newcomers to the area of GPR to use it as a handbook and primary research reference.},
ISSN = {978-0-444-53348-7},
Pages = {544}
}
@Article{jol:1995,
Title = {Ground penetrating radar antennae frequencies and transmitter powers compared for penetration depth, resolution and reflection continuity},
Author = {Jol, Harry M.},
Journal = {Geophysical Prospecting},
Year = {1995},
Number = {5},
Pages = {693--709},
Volume = {43},
Abstract = {Twelve ground penetrating radar (GPR) experiments were conducted on the modern, wave-influenced William River delta, on the Southern shore of Lake Athabasca in northern Saskatchewan, Canada. The delta is a well-sorted, quartzoserich, clean, sand-dominated, water-saturated geomorphic feature which provided an ideal site to test GPR. Penetration depths, resolution and continuity of reflections were compared for different antennae frequencies (25, 50, 100, 200 MHz) and transmitter powers (pulser voltage: 400 V, 1000 V). The data show significant variations in vertical resolution from 0.15 m to 0.76 m (200-25 MHz), depth of penetration from 14 m-28 m (200-25 MHz), and continuity of reflections. Increasing the transmitter power from 400 V to 1000 V increases the depth of penetration by 5 to 14% and improves the continuity of reflections with little effect on the resolution.},
Doi = {10.1111/j.1365-2478.1995.tb00275.x},
ISSN = {1365-2478},
Owner = {emanuel},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2015.05.14}
}
@Article{jones:2008,
Title = {Surface hydrology of low-relief landscapes: Assessing surface water flow impedance using LIDAR-derived digital elevation models},
Author = {Krista L. Jones and Geoffrey C. Poole and Scott J. O'Daniel and Leal A.K. Mertes and Jack A. Stanford},
Journal = {Remote Sensing of Environment},
Year = {2008},
Note = {Applications of Remote Sensing to Monitoring Freshwater and Estuarine Systems},
Number = {11},
Pages = {4148 - 4158},
Volume = {112},
Abstract = {Conventional hydrologic analyses of digital elevation models (DEMs) perform well in areas of high topographic relief, where surface water flow is typically unidirectional, convergent, spatially static, and directed toward a single discharge point at the edge of a catchment. Such analyses do not perform well on landscapes with low topographic relief (e.g., floodplains, river deltas, coastal wetlands, and estuaries) where surface water flow is influenced by subtle topographic depressions and may be bidirectional, divergent, and spatially dynamic in response to hydrologic forcing such as tides or variation in river discharge. We developed a framework for hydrologic analysis of low-relief landscapes using a high-resolution (1 m) DEM derived from light detection and ranging (LIDAR) data collected over a ~ 8.8 km2 section of the Umatilla River Floodplain, Oregon, USA. Our approach assessed the pattern and characteristics of #hydrologic##facets# (landscape patches that have high internal surface water connectivity and therefore function as a single hydrologic unit), where facet boundaries were defined by subtle topographic divides across the floodplain. We initially identified nearly 6000 small (fine-scale) hydrologic facets using standard GIS processing algorithms. We located the divide between each pair of adjacent facets, and determined #hydrologic##impedance# (i.e., the maximum change in river stage necessary to inundate the divide) for each divide (n = ~ 17,000). Using hydrologic impedance values, we analyzed patterns of surface water connectivity among the fine-scale facets and aggregated groups of adjacent facets that had high connectivity. This process yielded a reduced number of larger facets useful for hydrologic analysis at coarser spatial scales. We compared results derived using several alternate rule sets for aggregating facets. With appropriate aggregation rules, the results are useful for generating optimal link-and-node flow networks to support hydrologic modeling of surface water flux across low-relief landscapes.},
Doi = {10.1016/j.rse.2008.01.024},
File = {original paper:papers\\2008_jones-et-al_LiDAR-surface water flow impedance.pdf:PDF},
Groups = {hydrology, GIS, floodplain relative elevation, drainage-impedance, LiDAR, technical},
ISSN = {0034-4257},
Keywords = {Hydrologic modeling, lidar, floodplain connectivity, GIS, flood},
Owner = {hubere},
Timestamp = {2011.04.07},
Url = {http://www.sciencedirect.com/science/article/B6V6V-4T8R1TS-1/2/f57d4aeb315cf7b4cd7bfd9ac9834c88}
}
@InCollection{jones&schum:1999,
Title = {Causes of Avulsion: An Overview},
Author = {L. S. Jones and S. A. Schumm},
Booktitle = {Fluvial Sedimentology {VI}},
Publisher = {Blackwell Publishing Ltd.},
Year = {1999},
Editor = {N. D. Smith and J. Rogers and L. S. Jones and S. A. Schumm},
Month = {oct},
Pages = {169--178},
Doi = {10.1002/9781444304213.ch13},
Owner = {emanuel},
Timestamp = {2015.05.09},
Url = {http://dx.doi.org/10.1002/9781444304213.ch13}
}
@PhdThesis{jussel:1992,
Title = {Modellierung des {T}ransports gel{\"o}ster {S}toffe in inhomogenen {G}rundwasserleitern},
Author = {Jussel, P.},
School = {ETH Z{\"u}rich},
Year = {1992},
Note = {Diss. Techn. Wiss. ETH Z{\"u}rich, Nr. 9663, 1992. Ref.: T. Dracos ; Korref.: E. Anderheggen ; Korref.: C. Schindler},
Abstract = {The transport ofsolutes in groundwater is essentially influenced by the inhomogeneity of the aquifer. The goal of the present work is to describe inhomogeneities of typical prealpine gravel aquifers, deposited by rivers, and then to use the obtained information to model solute transport in groundwater. In this way, transport parameter studies for the investigated deposits are possible and existing theoretical modeis used to calculate the transport parameters can be tested. In order to describe the gravel deposits, large unweathered outcrops in several gravel pits in central Switzerland were investigated. On the basis of sedimentary investigations of Huggenberger et al. (1988) it was possible to classify sedimentary structures visible as lenses and layers. These structures occured in each of the outcrops. By examining photos, extents and their Statistical distributions of the geological structures were determined. Disturbed and undisturbed samples were taken to determine the hydraulic properties, especially the hydraulic conductivity and its variation. The gathered data was then used to numerically generate aquifers whose statistical distributions of hydraulic conductivity and porosity correspond to the investigated deposits. A new three-dimensional model was developed to model the flow and transport in the numerically generated aquifers. The discretisation of the model region with the finite element method allows to reproduce the shape of the classified sedimentary structures. The simulations require a large number of finite elements (> 10 ), which requires the optimizing of the solution algorithm for its application on supercomputers. The calculation of solute transport was performed by using a particletracking random-walk method. According to this method, the solute is simulated by a limited number of particles whose advective motion is superposed by a random motion representing the local dispersion. A special interpolation technique for the local velocity vector has been developed in order to minimize the discretisation error especially in places where sudden changes of the hydraulic conductivity occur. Tracer experiments have been performed m 10 realisations of numerically generated aquifers accordmg to the investigated outcrops. This numerical experiments allowed to calculate means and variability estimations of the transport parameters (mean velocity of the tracer, macrodispersivities). Based on the Statistical description of the investigated gravel deposits, the developed model can be used to calculate the influence of aquifer mhomogeneities on any manipulation of the groundwater flow system. The Simulation of several realisations of numerically generated aquifers allows to make a statistics about the resultmg parameters.},
Doi = {10.3929/ethz-a-000638188},
Keywords = {groundwater flow, well hydraulics, hydrology, hydrological models, mathematical modelling in hydrology, clastic sediments, loose clastic-rock sediments, petrography, tracer experiments, hydrogeology},
Owner = {hubere},
Publisher = {Inst. f{\"u}r Hydromechanik und Wasserwirtschaft},
Series = {Institut f{\"u}r Hydromechanik und Wasserwirtschaft ETH Z{\"u}rich / R: Institut f{\"u}r Hydromechanik und Wasserwirtschaft ETH Z{\"u}rich},
Timestamp = {2013.04.25}
}
@Article{jussel&al:1994,
Title = {Transport modeling in heterogeneous aquifers: 1. {S}tatistical description and numerical generation of gravel deposits},
Author = {Jussel, Peter and Stauffer, Fritz and Dracos, Themistocles},
Journal = {Water Resources Research},
Year = {1994},
Number = {6},
Pages = {1803--1817},
Volume = {30},
Abstract = {Transport of solutes in groundwater is decisively influenced by the heterogeneity of the aquifer. The goal of the present work is the numerical generation of synthetic heterogeneous aquifer models based on a statistical description of heterogeneities in gravel aquifers. Large unweathered outcrops in several gravel pits in northeastern Switzerland were investigated in this context. On the basis of sedimentological observations it was possible to specify distinct sedimentary structures appearing as lenses or layers. All structures have been identified in each of the investigated outcrops. By inspecting and analyzing photographs of the outcrops, it was possible to estimate the probability density functions (pdf) of the geometrical attributes of the sedimentary structures. Disturbed and undisturbed samples were taken from these structures to estimate the pdf of their hydraulic properties, that is, the hydraulic conductivity and the porosity. The information obtained is used to generate distinct numerical realizations by unconditional stochastic simulation of synthetic aquifers having the same statistical properties with respect to hydraulic conductivity and porosity as the investigated deposits.},
Doi = {10.1029/94WR00162},
File = {original paper:papers\\1994_jussel-et-al_transport-modeling-heteregneous_1.pdf:PDF},
Groups = {hydrogeology, transport, stochastic, modelling, à la Huggenberger, observation, measurement},
Keywords = {Hydrology: Groundwater, Hydrology: Transport, Physical Properties of Rocks: Permeability and porosity},
Owner = {hubere},
Timestamp = {2012.12.17}
}
@Article{jussel&al:1994b,
Title = {Transport modeling in heterogeneous aquifers: 2. {T}hree-dimensional transport model and stochastic numerical tracer experiments},
Author = {Jussel, Peter and Stauffer, Fritz and Dracos, Themistocles},
Journal = {Water Resources Research},
Year = {1994},
Number = {6},
Pages = {1819--1831},
Volume = {30},
Abstract = {Statistical information on the coherent sedimentary structures of highly heterogeneous gravel deposits (Jussel et al., this issue) is used to investigate numerically the transport of conservative tracers. The data are the basis for a numerical generation of synthetic aquifer models, whose statistical distributions of the sedimentary structures and their hydraulic conductivity and porosity correspond to the findings in the investigated deposits. A three-dimensional finite element flow model and a corresponding random-walk transport model were developed for this purpose. Because of the large number of finite elements needed, the solution algorithm is optimized for applications on vector-type computers. In order to minimize the discretization errors a special interpolation technique is applied to the determination of the local velocity vector. Ten stochastic, numerical transport experiments over a transport distance of 100 m were carried out with synthetic gravel aquifer models. They allow the mean tracer velocity, the effective hydraulic conductivity, and the dispersion parameters to be estimated. These estimates are compared with estimates of these parameters from current theories for the flow and the tracer transport in random, correlated, anisotropic hydraulic conductivity fields.},
Doi = {10.1029/94WR00163},
File = {original paper:papers\\1994_jussel-et-al_transport-modeling-heteregneous_2.pdf:PDF},
Groups = {hydrogeology, transport, stochastic, modelling, à la Huggenberger, observation, measurement},
ISSN = {1944-7973},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@InCollection{koethe:2003,
Title = {Edge and Junction Detection with an Improved Structure Tensor},
Author = {K{\"o}the, Ullrich},
Booktitle = {Pattern Recognition: 25th DAGM Symposium, Magdeburg, Germany, September 10-12, 2003. Proceedings},
Publisher = {Springer Berlin Heidelberg},
Year = {2003},
Address = {Berlin, Heidelberg},
Editor = {Michaelis, Bernd and Krell, Gerald},
Pages = {25--32},
Doi = {10.1007/978-3-540-45243-0_4},
ISBN = {978-3-540-45243-0},
Owner = {huber},
Timestamp = {2016.07.25},
Url = {http://dx.doi.org/10.1007/978-3-540-45243-0_4}
}
@Article{kass&witkin:1987,
Title = {Analyzing oriented patterns},
Author = {Michael Kass and Andrew Witkin},
Journal = {Computer Vision, Graphics, and Image Processing},
Year = {1987},
Number = {3},
Pages = {362 - 385},
Volume = {37},
Abstract = {Oriented patterns, such as those produced by propagation, accretion, or deformation, are common in nature and therefore an important class for visual analysis. Our approach to understanding such patterns is to decompose them into two parts: the flow field, describing the direction of anisotropy; and the residual pattern obtained by describing the image in a coordinate system built from the flow field. We develop a method for the local estimation of anisotropy and a method for combining the estimates to construct a flow coordinate system. Several examples of the use of these methods are presented. These include the use of the flow coordinates to provide preferred directions for edge detection, detection of anomalies, fitting simple models to the straightened pattern, and detecting singularities in the flow field.},
Doi = {10.1016/0734-189X(87)90043-0},
ISSN = {0734-189X},
Owner = {huber},
Timestamp = {2016.07.22},
Url = {http://www.sciencedirect.com/science/article/pii/0734189X87900430}
}
@Article{keller:1996,
Title = {Lithofazies-{C}odes für die {K}lassifikation von {L}ockergesteinen},
Author = {Keller, Beat},
Journal = {Mitteilung der Schweizerischen Gesellschaft für Boden- und Felsmechanik},
Year = {1996},
Pages = {5-12},
Volume = {132},
Owner = {emanuel},
Timestamp = {2015.05.12},
Url = {http://www.sgbf-ssmsr.ch/dokumente/pdf/Publikationen/Heft132.pdf}
}
@Article{kellerhals:1976,
Title = {Classification and Analysis of River Processes},
Author = {Kellerhals, Rolf and Church, Michael and Bray,Dale I.},
Journal = {Journal of the Hydraulics Division},
Year = {1976},
Month = {July},
Number = {7},
Pages = {813--829},
Volume = {7},
Abstract = {Aerial photographs and brief field visits are frequently the only data sources for the preliminary design of river engineering works in romote or undeveloped areas. Even if short-term field data are available, they may be misleading because of the nonuniform rates at which river processes take place. The major active processes are, however, reflected in the river morphology so that correct classification and interpretation of channel, flood-plain, and terrace features on maps and photographs can, to some degree, overcome a lack of long-term data. Rivers present a wide spectrum of intermediate forms between the familiar classic braided and meandering types. This reflects a similarly wide spectrum of flow distribution, bed material size, sediment transport, and channel stability. Existing river classification schemes are reviewed and a modified system is proposed to take account of the gradual transition between classical types.},
File = {original's paper:papers\\1976_kellerhals-et-al_classification-and-analysis-of-river-processes.pdf:PDF;formular for classification presented in the paper:papers\\1976_kellerhals-et-al_form.pdf:PDF},
Groups = {floodplain, river pattern, classification},
Keywords = {Aerial photography, Channels, Flood plains, Hydraulics, Imaging techniques, River systems, Rivers and streams},
Owner = {emanuel},
Timestamp = {2013.05.06},
Url = {http://cedb.asce.org/cgi/WWWdisplay.cgi?6763}
}
@InCollection{kelly:2006,
Title = {Scaling and Hierarchy in Braided Rivers and their Deposits: Examples and Implications for Reservoir Modelling},
Author = {Kelly, Sean},
Booktitle = {Braided Rivers},
Publisher = {Blackwell Publishing Ltd.},
Year = {2006},
Chapter = {4},
Editor = {Sambrook Smith, G. H. and Best, J. L. and Bristow, C. S. and Petts, G. E.},
Pages = {75--106},
Abstract = {This chapter contains sections titled: * Introduction * Modern Rivers Data * Fluvial Facies and Alluvial Architecture * Combining Data from Modern Rivers with Outcrop Data * Implications for Reservoir Modelling of Braided Fluvial Reservoirs * Summary * Acknowledgements * References},
Doi = {10.1002/9781444304374.ch4},
ISBN = {9781444304374},
Keywords = {scaling and hierarchy in braided rivers and their deposits, interpretation of fluvial sandbodies in subsurface, scale - fluvial morphology aspect, river planform and subsurface recognition, bedforms, hierarchy and superposition, modern rivers data - combining data from modern rivers with outcrop data, scale invariance and universality of fluvial systems, scaling and hierarchy in braided rivers, fluvial facies and alluvial architecture},
Owner = {hubere},
Timestamp = {2015.05.06},
Url = {http://dx.doi.org/10.1002/9781444304374.ch4}
}
@Article{kerrou&al:2008,
Title = {Issues in characterizing heterogeneity and connectivity in non-{multiGaussian} media},
Author = {Kerrou, Jaouher and Renard, Philippe and Hendricks Franssen , Harrie-Jan and Lunati, Ivan},
Journal = {Advances in Water Resources},
Year = {2008},
Month = {jan},
Number = {1},
Pages = {147--159},
Volume = {31},
Doi = {10.1016/j.advwatres.2007.07.002},
Owner = {hubere},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1016/j.advwatres.2007.07.002}
}
@Article{kessler&al:2013,
Title = {Modeling Fine-Scale Geological Heterogeneity-Examples of Sand Lenses in Tills},
Author = {Timo Christian Kessler and Alessandro Comunian and Fabio Oriani and Philippe Renard and Bertel Nilsson and Knud Erik Klint and Poul L{\o}gstrup Bjerg},
Journal = {Groundwater},
Year = {2013},
Number = {5},
Pages = {692--705},
Volume = {51},
Doi = {10.1111/j.1745-6584.2012.01015.x},
Owner = {huber},
Publisher = {Wiley-Blackwell},
Timestamp = {2017.06.23}
}
@Article{kitadinis:1994,
Title = {The concept of the Dilution Index},
Author = {Kitanidis, Peter K.},
Journal = {Water Resources Research},
Year = {1994},
Number = {7},
Pages = {2011--2026},
Volume = {30},
Doi = {10.1029/94WR00762},
ISSN = {1944-7973},
Owner = {huber},
Timestamp = {2015.07.22}
}
@Article{kitadinis&vomvoris:1983,
Title = {A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one-dimensional simulations},
Author = {Peter K. Kitanidis and Efstratios G. Vomvoris},
Journal = {Water Resources Research},
Year = {1983},
Month = {jun},
Number = {3},
Pages = {677--690},
Volume = {19},
Doi = {10.1029/wr019i003p00677},
Owner = {hubere},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{kleinhans:2010,
Title = {Sorting out river channel patterns},
Author = {Kleinhans, Maarten G.},
Journal = {Progress in Physical Geography},
Year = {2010},
Number = {3},
Pages = {287-326},
Volume = {34},
Abstract = {Rivers self-organize their pattern/planform through feedbacks between bars, channels, floodplain and vegetation, which emerge as a result of the basic spatial sorting process of wash load sediment and bed sediment. The balance between floodplain formation and destruction determines the width and pattern of channels. Floodplain structure affects the style and rate of channel avulsion once aggradation takes place. Downstream fining of bed sediment and the sediment balance of fines in the pores of the bed sediment provide the "template" or sediment boundary conditions, from which sorting at smaller scales leads to the formation of distinct channel patterns. Bar patterns provide the template of bank erosion and formation as well as the dynamics of the channel network through bifurcation destabilization. However, so far we have been unable to obtain dynamic meandering in laboratory experiments and in physics-based models that can also produce braiding, which reflects our lack of understanding of what causes the different river patterns.},
Doi = {10.1177/0309133310365300},
Eprint = {http://ppg.sagepub.com/content/34/3/287.full.pdf+html},
File = {original paper:papers\\2010_Kleinhans_sorting-out-river-pattern.pdf:PDF;Emanuel's notes:papers\\2010_Kleinhans_sorting-out-river-pattern.doc:Word},
Groups = {general, river pattern, review, epistemology},
Keywords = {bank erosion, bar pattern, floodplain sedimentation, riparian vegetation, river channel pattern},
Owner = {emanuel},
Timestamp = {2013.01.29},
Url = {http://ppg.sagepub.com/content/34/3/287.abstract}
}
@Article{klenk&al:2015,
Title = {Monitoring infiltration processes with high-resolution surface-based Ground-Penetrating Radar},
Author = {Klenk, P. and Jaumann, S. and Roth, K.},
Journal = {Hydrology and Earth System Sciences Discussions},
Year = {2015},
Pages = {12215--12246},
Volume = {12},
Doi = {10.5194/hessd-12-12215-2015},
Owner = {huber},
Timestamp = {2016.07.17},
Url = {http://www.hydrol-earth-syst-sci-discuss.net/12/12215/2015/}
}
@Article{klingbeil&al:1999,
Title = {Relating lithofacies to hydrofacies: outcrop-based hydrogeological characterisation of {Q}uaternary gravel deposits},
Author = {Ralf Klingbeil and Sybille Kleineidam and Ulrich Asprion and Thomas Aigner and Georg Teutsch},
Journal = {Sedimentary Geology},
Year = {1999},
Number = {3--4},
Pages = {299--310},
Volume = {129},
Abstract = {A considerable part of today's drinking water supplies in Europe and North America rely on clean groundwater from gravelly valley aquifers of Quaternary age. The sedimentary architecture, the distribution of lithofacies and of architectural elements in such heterogeneous deposits are of fundamental importance for the analysis of groundwater flow and contaminant transport. As the aquifers are not directly accessible for observation, representative outcrop analogues were used to study the sedimentology on a local scale. Conventional sedimentological classification schemes were adapted for the purpose of hydrogeological evaluations. Measurements of hydraulic properties were then used to define a set of 5 hydrofacies from 23 possible sediment lithofacies. A digital-photographic mapping procedure was developed to allow fast data acquisition in the field. The sedimentologically interpreted outcrops were stored in a GIS style database and thus allow the output for further sedimentological or hydrogeological analysis.},
Doi = {10.1016/S0037-0738(99)00067-6},
File = {original paper:papers\\1999_klingbeil-et-al_Relating lithofacies to hydrofacies.pdf:PDF},
Groups = {à la Huggenberger, lithofaces-hydrofacies, concepts, measurement},
ISSN = {0037-0738},
Keywords = {lithofacies, hydrofacies, glaciofluvial sedimentation, Quaternary, W?rm, Baden?W?rttemberg, Germany, sedimentology, hydrogeology, GIS},
Owner = {hubere},
Timestamp = {2013.04.23}
}
@Article{klise&al:2009,
Title = {Exploring solute transport and streamline connectivity using lidar-based outcrop images and geostatistical representations of heterogeneity},
Author = {Katherine A. Klise and Gary S. Weissmann and Sean A. McKenna and Elizabeth M. Nichols and Jedediah D. Frechette and Tim F. Wawrzyniec and Vince C. Tidwell},
Journal = {Water Resources Research},
Year = {2009},
Number = {5},
Volume = {45},
Doi = {10.1029/2008wr007500},
Owner = {huber},
Publisher = {Wiley-Blackwell},
Timestamp = {2017.06.23}
}
@Article{knowling&al:2015,
Title = {Quantifying climate and pumping contributions to aquifer depletion using a highly parameterised groundwater model: Uley South Basin (South Australia) },
Author = {Matthew J. Knowling and Adrian D. Werner and Daan Herckenrath},
Journal = {Journal of Hydrology },
Year = {2015},
Pages = {515 - 530},
Volume = {523},
Abstract = {Summary The relative contributions of climate and human stresses to aquifer depletion in real-world settings are rarely quantified, particularly where complex patterns of depletion arise from the spatial and temporal variability in aquifer stresses. These impacts can be assessed using calibration-constrained model predictions of disturbed (i.e., subject to human activity) and undisturbed (i.e., natural) conditions. Prior investigations that adopt this approach employ lumped-parameter or one-dimensional models. Here, we extend previous studies by using a highly parameterised, spatially distributed groundwater model to investigate the relative impacts of climate variability and pumping on aquifer depletion. The Uley South Basin (USB), South Australia, where there is conjecture surrounding the cause of declining groundwater levels, serves as a case study. The relative contributions of climate variability and pumping to \{USB\} depletion are shown to be highly variable in time and space. Temporal trends reflect variability in rainfall and pumping, as expected. Spatial trends are primarily dependent on the proximity to both the coastal boundary and pumping wells, and to the distribution of recharge and hydraulic properties. Results show that pumping impacts exceed those of climate between 1978 and 2012, and over the majority of the spatial extent of USB. The contribution of pumping to aquifer depletion is shown to be 2.9 and 1.4 times that of climate in terms of the time-averaged and maximum-in-time basin-scale water budget, respectively. Confidence in model predictions is enhanced by the outcomes of a linear predictive uncertainty analysis, which indicates that predictive uncertainty is lower than climatic and pumping impacts. This study demonstrates the application of a relatively simple analysis that can be used in combination with highly parameterised, spatially distributed groundwater models to differentiate causal factors of aquifer depletion. },
Doi = {10.1016/j.jhydrol.2015.01.081},
ISSN = {0022-1694},
Keywords = {Climate variability},
Owner = {huber},
Timestamp = {2016.05.24}
}
@TechReport{knutsson:1989,
Title = {Representing local structure using tensors},
Author = {Hans Knutsson},
Institution = {Computer Vision Laboratory, Linkoping University},
Year = {1989},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{kocurek&al:2010,
Title = {How do bedform patterns arise? New views on the role of bedform interactions within a set of boundary conditions},
Author = {Kocurek, Gary and Ewing, Ryan C. and Mohrig, David},
Journal = {Earth Surface Processes and Landforms},
Year = {2010},
Number = {1},
Pages = {51--63},
Volume = {35},
Abstract = {One explanation for bedform patterns is self-organization in which the pattern emerges because of interactions among the bedforms themselves. Models, remote images, field studies and lab experiments have identified bedform interactions that involve whole bedforms, only bedform defects, or that are remote interactions between bedforms. It is proposed that bedform interactions form a spectrum from constructive to regenerative in pattern development. Constructive interactions, including merging, lateral linking, cannibalization, and remote transfer of sediment, push the system toward fewer, larger, more widely spaced bedforms. Regenerative interactions, including bedform splitting, defect creation and calving, push the system back toward a more initial state. Other interactions, including off-center collision, defect migration, and bedform and defect repulsion, cause pattern change, but may not be strongly constructive or regenerative. Although bedform interactions are ubiquitous to any field of bedforms, their dynamics, flow-field modification, and impact upon measurable pattern parameters are yet poorly understood. Most bedform interactions span bedform types and fluids, supporting the hypothesis that pattern emerges from dynamics at the bedform level in a hierarchy that includes lower levels of bedform-flow and grain?fluid interactions. Bedform interactions alone, however, cannot account for the rich diversity of bedform patterns in nature. It is proposed that field diversity arises because of boundary conditions, which are the environmental variables within which a field evolves. Conceptually, boundary conditions modify the shape of the attractor toward which a field evolves, possibly by altering the type and frequency of bedform interactions. Boundary conditions are broadly similar within system types, but are unique for each bedform field so that no two are ever exactly alike. Although aeolian and fluvial systems share some types of boundary conditions, flow depth is a unique boundary condition in shallow fluvial systems. Copyright ? 2009 John Wiley & Sons, Ltd.},
Doi = {10.1002/esp.1913},
File = {original paper:papers\\2010_kocurek-et-al_how-do-bedform-patterns-arise.pdf:PDF;Emanuel's notes:papers\\2010_kocurek-et-al_how-do-bedform-patterns-arise.doc:Word},
Groups = {geomorphology, review, concepts},
ISSN = {1096-9837},
Keywords = {aeolian, subaqueous, bedform patterns, bedform interactions, boundary conditions},
Owner = {hubere},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2012.01.16},
Url = {10.1002/esp.1913}
}
@Article{kolb&leki:2014,
Title = {Receiver function deconvolution using transdimensional hierarchical Bayesian inference},
Author = {J. M. Kolb and V. Leki~},
Journal = {Geophysical Journal International},
Year = {2014},
Month = {apr},
Number = {3},
Pages = {1719--1735},
Volume = {197},
Doi = {10.1093/gji/ggu079},
Owner = {emanuel},
Publisher = {Oxford University Press ({OUP})},
Timestamp = {2015.05.27}
}
@Article{koltermann&gorelick:1996,
Title = {Heterogeneity in Sedimentary Deposits: A Review of Structure-Imitating, Process-Imitating, and Descriptive Approaches},
Author = {Koltermann, Christine E. and Gorelick, Steven M.},
Journal = {Water Resources Research},
Year = {1996},
Number = {9},
Pages = {2617--2658},
Volume = {32},
Doi = {10.1029/96WR00025},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Article{kostic&aigner:2007,
Title = {Sedimentary architecture and {3D} ground-penetrating radar analysis of gravelly meandering river deposits ({N}eckar {V}alley, {SW} {G}ermany)},
Author = {Kostic, Boris and Aigner, Thomas},
Journal = {Sedimentology},
Year = {2007},
Number = {4},
Pages = {789--808},
Volume = {54},
Abstract = {Sedimentological outcrop analysis and sub-surface ground-penetrating radar (GPR) surveys are combined to characterize the three-dimensional sedimentary architecture of Quaternary coarse-grained fluvial deposits in the Neckar Valley (SW Germany). Two units characterized by different architectural styles are distinguished within the upper part of the gravel body, separated by an erosional unconformity: (i) a lower unit dominated by trough-shaped depositional elements with erosional, concave-up bounding surfaces that are filled by cross-bedded sets of mainly openwork and filled framework gravel; and (ii) an upper unit characterized by gently inclined sheets of massive and openwork gravels with thin, sandy interlayers that show lateral accretion on a lower erosional unconformity. The former is interpreted as confluence scour pool elements formed in a multi-channel, possibly braided river system, the latter as extensive point bar deposits formed by the lateral migration of a meandering river channel. The lateral accretion elements are locally cut by chute channels mainly filled by gravels rich in fines, and by fine-grained abandoned channel fills. The lateral accretion elements are associated with gravel dune deposits characterized by steeply inclined cross-beds of alternating open and filled framework gravel. Floodplain fines with a cutbank and point bar morphology cover the gravel deposits.???The GPR images, revealing the three-dimensional geometries of the depositional elements and their stacking patterns, confirm a change in sedimentary style between the two stratigraphic units. The change occurred at the onset of the Holocene, as indicated by 14C-dating of wood fragments, and is related to a re-organization of the fluvial system that probably was driven by climatic changes. The integration of sedimentological and GPR results highlights the heterogeneity of the fluvial deposits, a factor that is important for modelling groundwater flow in valley-fill aquifers.},
Doi = {10.1111/j.1365-3091.2007.00860.x},
File = {original paper:papers\\2007_kostic-and-aigner_3DGPR.pdf:PDF},
Groups = {sedimentology, 3D, à la Huggenberger, lithofaces-hydrofacies, observation, measurement},
ISSN = {1365-3091},
Keywords = {Braided, depositional elements, gravel-bed river, ground-penetrating radar, hydrostratigraphy, meandering},
Owner = {hubere},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2013.04.23}
}
@InCollection{kruse&jol:2003,
Title = {Amplitude analysis of repetitive {GPR} reflections on a {L}ake {B}onneville delta, {U}tah},
Author = {S. E. Kruse and H. M. Jol},
Booktitle = {Ground Penetrating Radar in Sediments},
Publisher = {Geological Society of London},
Year = {2003},
Editor = {C.S. Bristow and H.M. Jol},
Month = {jan},
Number = {1},
Pages = {287--298},
Volume = {211},
Doi = {10.1144/gsl.sp.2001.211.01.23},
Journal = {Geological Society, London, Special Publications},
Owner = {huber},
Timestamp = {2015.05.14}
}
@Article{kuhlman&padroiguzquiza:2010,
Title = {Universal cokriging of hydraulic heads accounting for boundary conditions },
Author = {Kristopher L. Kuhlman and Eulogio Pardo Igúzquiza},
Journal = {Journal of Hydrology },
Year = {2010},
Number = {1–2},
Pages = {14 - 25},
Volume = {384},
Abstract = {Summary When contouring scalar potentials from point observations the process can often benefit from including the known effects of boundary curves with specified potential or gradient. Here we consider the hydraulic head in an aquifer and both no-flow and constant-head boundary conditions. We present a new approach to enforcing that equipotential contours be normal to no-flow boundaries. A constant-head boundary, with unknown head, can be included through the same process by rotating the boundary vector by 90°. Collocated observations of heads and boundaries can specify a constant-head boundary of known value. We estimate head given both head and boundary condition observations, cokriging with both types of information. Our new approach uses gradient vectors in contrast with previous approximate finite-difference methods that include boundary conditions in kriging. Either the approach given here or the finite-difference method must be implemented with smooth covariance models, e.g., Gaussian, generalized Cauchy, and Matérn. },
Doi = {10.1016/j.jhydrol.2010.01.002},
ISSN = {0022-1694},
Keywords = {Kriging},
Owner = {huber},
Timestamp = {2015.12.02}
}
@Article{kurtz&al:2012,
Title = {Identification of time-variant river bed properties with the ensemble Kalman filter},
Author = {Kurtz, Wolfgang and Hendricks Franssen, Harrie-Jan and Vereecken, Harry},
Journal = {Water Resources Research},
Year = {2012},
Note = {W10534},
Number = {10},
Pages = {n/a--n/a},
Volume = {48},
Doi = {10.1029/2011WR011743},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology, Groundwater/surface water interaction, Model calibration, Modeling, covariance inflation, data assimilation, parameter estimation, river aquifer interaction, river bed conductivity},
Owner = {huber},
Timestamp = {2016.01.22},
Url = {10.1029/2011WR011743}
}
@Article{lafleche&al:1991,
Title = {Analysis of ground-probing radar data: predictive deconvolution},
Author = {P. T. Lafleche and J. P. Todoeschuck and O. G. Jensen and A. S. Judge},
Journal = {Canadian Geotechnical Journal},
Year = {1991},
Month = {feb},
Number = {1},
Pages = {134--139},
Volume = {28},
Doi = {10.1139/t91-014},
Owner = {emanuel},
Publisher = {Canadian Science Publishing},
Timestamp = {2015.05.28},
Url = {10.1139/t91-014}
}
@Article{laloy&al:2015,
Title = {Probabilistic inference of multi-Gaussian fields from indirect hydrological data using circulant embedding and dimensionality reduction},
Author = {Laloy, Eric and Linde, Niklas and Jacques, Diederik and Vrugt, Jasper A.},
Journal = {Water Resources Research},
Year = {2015},
Number = {6},
Pages = {4224--4243},
Volume = {51},
Doi = {10.1002/2014WR016395},
ISSN = {1944-7973},
Keywords = {Uncertainty assessment, Groundwater hydrology, Model calibration, Stochastic hydrology, Joint inversion, variogram, multi-Gaussian field, MCMC},
Owner = {huber},
Timestamp = {2016.01.20},
Url = {10.1002/2014WR016395}
}
@Article{lampe&holliger:2003,
Title = {Effects of fractal fluctuations in topographic relief, permittivity and conductivity on ground-penetrating radar antenna radiation},
Author = {Bernhard Lampe and Klaus Holliger},
Journal = {Geophysics},
Year = {2003},
Month = {nov},
Number = {6},
Pages = {1934--1944},
Volume = {68},
Doi = {10.1190/1.1635047},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28},
Url = {10.1190/1.1635047}
}
@InBook{lane:2006,
Title = {Braided Rivers: Process, Deposits, Ecology and Management},
Author = {Lane, Stuart N.},
Chapter = {Approaching the System-Scale Understanding of Braided River Behaviour},
Editor = {Sambrook Smith, Gregory H. and Best, James L. and Bristow, Charlie S. and Petts, Geoff E.},
Pages = {107--135},
Publisher = {Blackwell Publishing Ltd.},
Year = {2009},
Abstract = {This chapter contains sections titled: * Introduction * Numerical Models of Braided Rivers at the System-Scale * The Scaling Characteristics of Braided River Systems * Braided River Morphology and Morphological Change * Conclusions: Perspectives for the Next 10 Years * Acknowledgements * Appendix * References},
Booktitle = {Braided Rivers},
Doi = {10.1002/9781444304374.ch5},
ISBN = {9781444304374},
Keywords = {approaching system-scale understanding of braided river behaviour, three major areas of development in system-scale study of braided river behaviour, braided river models - reduced complexity approaches, numerical models of braided rivers at system-scale, emergent properties of braiding process, High level or reduced complexity models - understanding properties of systems, models of complex, spatially extended systems, scaling characteristics of braided river systems},
Owner = {hubere},
Timestamp = {2013.04.10},
Url = {10.1002/9781444304374.ch5}
}
@Book{lantuejoul:2002,
Title = {Geostatistical Simulation, Models and Algorithm},
Author = {Lantuejoul, C.},
Publisher = {Springer},
Year = {2002},
ISBN = {978-3-540-42202-0},
Owner = {emanuel},
Pages = {256},
Timestamp = {2015.05.14}
}
@Article{larkin&sharp:1992,
Title = {On the relationship between river-basin geomorphology, aquifer hydraulics, and ground-water flow direction in alluvial aquifers},
Author = {Larkin, R G and Sharp JR, J M},
Journal = {Geological Society Of America Bulletin},
Year = {1992},
Pages = {1608--1620},
Volume = {104},
Abstract = {The dominant regional ground-water flow component, baseflow or underflow, can be inferred in an alluvial valley aquifer from geomorphologic data. These data include the channel slope, the river sinuosity, the degree of penetration (incision through the alluvium) of the river, the width-to-depth ratio and the final depositional system. The underflow component is demonstrably predominant when the following conditions exist : 1) the channel gradient exceeds .0008, 2) the sinuosity is less than 1.3, 3) the river penetraton is less than 20%, 4) the width-to-depth ratio is greater than 60, and 5) the fluvial depositional system is either valley fill or mixed load to bedload. The underflow component can also be dominant on flood plains where the lateral valley slope is negligible.},
File = {original paper:papers\\1992_larkin-and-sharp_river-geomorphology-and-gw-flow-direction.pdf:PDF;Emanuel's notes:papers\\1992_larkin-and-sharp_river-geomorphology-and-gw-flow-direction.doc:Word},
Groups = {floodplain, fluvial geomorphology, observation},
Owner = {hubere},
Timestamp = {2011.05.13}
}
@Article{lehmann&green:2000,
Title = {Topographic migration of georadar data: Implications for acquisition and processing},
Author = {Lehmann, Frank and Green, Alan G.},
Journal = {Geophysics},
Year = {2000},
Number = {3},
Pages = {836--848},
Volume = {65},
Abstract = {Application of conventional elevation static corrections and migration to wavefield data recorded on irregular surfaces may result in poor reconstructions of complex subsurface features. Particulary poor images may be obtained at locations where the depths to target structures are comparable to undulations in the surface topography. For example, topographic relief of only 1{\textendash}2 m may be important for the processing of georadar data. We describe an algorithm that allows georadar data to be migrated directly from gently to highly irregular acquisition surfaces. When applied to a variety of complicated synthetic data sets, topographically migrated images are observed to be markedly superior to those produced by two standard processing schemes. Extensive tests demonstrate that topographic migration should be considered in regions characterized by surface gradients >>10\% (i.e., dips >>6{\textdegree}). For effective topographic migration, lateral and vertical coordinates of the georadar antennas should be determined to better than 10\% of the dominant georadar wavelength, and velocities should be known to within 10{\textendash}20\% (e.g., 0.01{\textendash}0.02 m/ns) of their true values. When applied to data collected across a moderately dipping (\~{}14{\textdegree}) rock glacier in the Swiss Alps, georadar sections resulting from two standard processing schemes have reflectors with depths and dips that differ by a significant 10{\textendash}15\% from those in the topographically migrated images.},
Doi = {10.1190/1.1444781},
Eprint = {http://geophysics.geoscienceworld.org/content/65/3/836.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.22},
Url = {http://geophysics.geoscienceworld.org/content/65/3/836}
}
@Article{leopold&wolman:1957,
Title = {River channel patterns: braided, meandering and straight},
Author = {Leopold, L. B. and Wolman, M. G.},
Journal = {US Geological Survey Professional Paper},
Year = {1957},
Pages = {39--85},
Volume = {282--B},
Owner = {hubere},
Timestamp = {2015.05.08}
}
@Article{levy&oldenburg:1987,
Title = {Automatic phase correction of common-midpoint stacked data},
Author = {S. Levy and D. W. Oldenburg},
Journal = {Geophysics},
Year = {1987},
Month = {jan},
Number = {1},
Pages = {51--59},
Volume = {52},
Doi = {10.1190/1.1442240},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{li:2014,
Title = {Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar ({GPR}) Data},
Author = {Lianlin Li},
Journal = {{IEEE} Geosci. Remote Sensing Lett.},
Year = {2014},
Month = {aug},
Number = {8},
Pages = {1330--1334},
Volume = {11},
Doi = {10.1109/lgrs.2013.2292955},
Owner = {emanuel},
Publisher = {Institute of Electrical {\&} Electronics Engineers ({IEEE})},
Timestamp = {2015.05.28},
Url = {10.1109/LGRS.2013.2292955}
}
@Article{liang&zhang:2015,
Title = {Analyses of uncertainties and scaling of groundwater level fluctuations},
Author = {Liang, X. Y. and Zhang, Y.-K.},
Journal = {Hydrology and Earth System Sciences},
Year = {2015},
Number = {7},
Pages = {2971--2979},
Volume = {19},
Doi = {10.5194/hess-19-2971-2015},
Owner = {huber},
Timestamp = {2016.05.24}
}
@InCollection{vanlieshout:2010,
Title = {Spatial Point Process Theory},
Author = {van Lieshout, Marie-Colette},
Booktitle = {Handbook of Spatial Statistics},
Publisher = {CRC Press},
Year = {2010},
Editor = {Alan E . Gelfand and Peter J . Diggle and Montserrat Fuentes and Peter Guttorp},
Pages = {263--282},
Doi = {10.1201/9781420072884-c16},
ISBN = {978-1-4200-7287-7},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@Article{linde&al:2015,
Title = {Geological realism in hydrogeological and geophysical inverse modeling: A review},
Author = {Niklas Linde and Philippe Renard and Tapan Mukerji and Jef Caers},
Journal = {Advances in Water Resources},
Year = {2015},
Pages = {86--101},
Volume = {86},
Doi = {10.1016/j.advwatres.2015.09.019},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Article{lintusaari&al:2017,
Title = {Fundamentals and Recent Developments in Approximate Bayesian Computation},
Author = {Lintusaari, Jarno and Gutmann, Michael U. and Dutta, Ritabrata and Kaski, Samuel and Corander, Jukka},
Journal = {Systematic Biology},
Year = {2017},
Number = {1},
Pages = {e66-e82},
Volume = {66},
Doi = {10.1093/sysbio/syw077},
Owner = {hubere},
Timestamp = {2017.09.15}
}
@Article{liu:2009,
Title = {Simultaneous identification of parameter, initial condition, and boundary condition in groundwater modelling},
Author = {Liu, Hung-Jen and Hsu, Nien-Sheng and Lee, Tim Hau},
Journal = {Hydrological Processes},
Year = {2009},
Number = {16},
Pages = {2358--2367},
Volume = {23},
Abstract = {In this paper, we perform an inverse method to simultaneously estimate aquifer parameters, initial condition, and boundary conditions in groundwater modelling. The parameter estimation is extended to a complete inverse problem that makes the calibrated groundwater flow model more realistic. The adjoint state method, the gradient search method, and the least square error algorithm are combined to build the optimization procedure. Horizontal two-dimensional groundwater flow in a confined aquifer is exemplified to demonstrate the correlation between unknowns, the contribution of observation, as well as the suitability of applying the inverse method. The correlation analysis shows the connection between storage coefficient and initial condition. Besides, transmissivity and boundary conditions are also highly correlated. More observations at different location and time are necessary to provide sufficient information. A time series of unsteady head is requested for estimation of storage coefficient and initial condition. Observation near boundary is very effective for boundary condition estimation. The observation at pumping well mostly contributes to the estimation of transmissivity. According to all observations, it is possible to identify parameters, initial condition, and boundary condition simultaneously. Furthermore, the results not only illustrate the traditional assumption of known boundary condition but also initial condition, which may cause an incorrect estimation. Copyright © 2009 John Wiley & Sons, Ltd.},
Doi = {10.1002/hyp.7344},
ISSN = {1099-1085},
Keywords = {groundwater flow, inverse modelling, parameter identifiability, initial condition, boundary condition},
Owner = {huber},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2016.02.05}
}
@Article{liu:2013,
Title = {Noise reduction by vector median filtering},
Author = {Yike Liu},
Journal = {Geophysics},
Year = {2013},
Month = {may},
Number = {3},
Pages = {V79--V87},
Volume = {78},
Doi = {10.1190/geo2012-0232.1},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.15}
}
@Article{longbottom&al:1988,
Title = {Principles and application of maximum kurtosis phase estimation},
Author = {J. Longbottom and A. T. Walden and R. E. White},
Journal = {Geophysical Prospecting},
Year = {1988},
Month = {feb},
Number = {2},
Pages = {115--138},
Volume = {36},
Doi = {10.1111/j.1365-2478.1988.tb02155.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28}
}
@Article{lunt&bridge:2004,
Title = {Evolution and deposits of a gravelly braid bar, Sagavanirktok River, Alaska},
Author = {Lunt, I. A. and Bridge, J. S.},
Journal = {Sedimentology},
Year = {2004},
Number = {3},
Pages = {415--432},
Volume = {51},
Doi = {10.1111/j.1365-3091.2004.00628.x},
ISSN = {1365-3091},
Keywords = {Braided river, bar, deposits, gravel, radar},
Owner = {huber},
Publisher = {Blackwell Science Ltd},
Timestamp = {2016.07.20},
Url = {10.1111/j.1365-3091.2004.00628.x}
}
@Article{lunt&al:2004,
Title = {A quantitative, three-dimensional depositional model of gravelly braided rivers},
Author = {Lunt, I. A. and Bridge, J. S. and Tye, R. S.},
Journal = {Sedimentology},
Year = {2004},
Number = {3},
Pages = {377--414},
Volume = {51},
Abstract = {A quantitative, three-dimensional depositional model of gravelly, braided rivers has been developed based largely on the deposits of the Sagavanirktok River in northern Alaska. These deposits were described using cores, wireline logs, trenches and ground-penetrating radar profiles. The origin of the deposits was inferred from observations of: (1) channel and bar formation and migration and channel filling, interpreted from aerial photographs; (2) water flow during floods; and (3) the topography and texture of the river bed at low-flow stage. This depositional model quantitatively represents the geometry of the different scales of strataset, the spatial relationships among them and their sediment texture distribution. Porosity and permeability in the model are related to sediment texture. The geometry of a particular type and scale of strataset is related to the geometry and migration of the bedform type (e.g. ripples, dunes, bedload sheets, bars) associated with deposition of the strataset. In particular, the length-to-thickness ratio of stratasets is similar to the wavelength-to-height ratio of associated bedforms. Furthermore, the wavelength and height of bedforms such as dunes and bars are related to channel depth and width. Therefore, the thickness of a particular scale of strataset (i.e. medium-scale cross-sets and large-scale sets of inclined strata) will vary with river dimensions. These relationships between the dimensions of stratasets, bedforms and channels mean that this depositional model can be applied to other gravelly fluvial deposits. The depositional model can be used to interpret the origin of ancient gravelly fluvial deposits and to aid in the characterization of gravelly fluvial aquifers and hydrocarbon reservoirs.},
Doi = {10.1111/j.1365-3091.2004.00627.x},
ISSN = {1365-3091},
Keywords = {Depositional model, fluvial deposits, gravelly braided rivers, permeability},
Owner = {hubere},
Publisher = {Blackwell Science Ltd},
Timestamp = {2015.05.06}
}
@Article{luo&al:2006,
Title = {Computation of dips and azimuths with weighted structural tensor approach},
Author = {Luo, Yi and Wang, Yuchun Eugene and AlBinHassan, Nasher M. and Alfaraj, Mohammed N.},
Journal = {Geophysics},
Year = {2006},
Number = {5},
Pages = {V119--V121},
Volume = {71},
Abstract = {The structural tensor method can be used to compute dips and azimuths (i.e., orientation) encased in seismic data. However, this method may produce erratic and uninterpretable orientations when noisy data are encountered. To overcome this difficulty, we incorporate a data-adaptive weighting function to reformulate the gradient structural tensor. In our experiment, the squared instantaneous power is adopted as the weight factor; this can simplify the computation when the instantaneous phase is used as input. The real data examples illustrate that such a weighting function can produce more interpretable and spatially consistent orientations than conventional approaches.},
Doi = {10.1190/1.2235591},
Eprint = {http://geophysics.geoscienceworld.org/content/71/5/V119.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.17},
Url = {http://geophysics.geoscienceworld.org/content/71/5/V119}
}
@Article{mahmoudzadeh&al:2012,
Title = {Using ground penetrating radar to investigate the water table depth in weathered granites — Sardon case study, Spain },
Author = {M.R. Mahmoudzadeh and A.P. Francés and M. Lubczynski and S. Lambot},
Journal = {Journal of Applied Geophysics },
Year = {2012},
Pages = {17--26},
Volume = {79},
Abstract = {Precise and non-invasive measurement of groundwater depth is essential to support management of groundwater resources. In that respect, \{GPR\} is a promising tool for high resolution, large scale characterization and monitoring of hydrological systems. We applied \{GPR\} in a semi-arid catchment (Sardon, Salamanca, Spain) in order to investigate the water table depth in weathered granites. We used a pulse radar with a single 200 \{MHz\} bowtie antenna combined with a differential \{GPS\} and a survey wheel for accurate positioning. Measurements were performed following a series of transects crossing perpendicularly the bed of the Sardon streams, which were dry during the survey period (September 2009). In order to transform the \{GPR\} data from time to depth we estimated the soil dielectric constant using frequency domain reflectometry (FDR) or water level depth information from several observation wells. Electrical resistivity tomography (ERT) was applied along the \{GPR\} profiles and compared to the \{GPR\} results. \{GPR\} signals were also simulated using forward modeling (GprMax2D) of several hypothetic configurations of the subsurface. Those techniques helped us to better understand and interpret the \{GPR\} data. In general, the shallow water table was sparsely detected in the \{GPR\} profiles ranging from ∼ 1 to ∼ 3 meters the entire catchment. The results showed a good agreement of \{ERT\} and \{GPR\} profiles. The comparison of measured and simulated \{GPR\} data showed multiple reflections in presence of the saturated fractured granite. },
ISSN = {0926-9851},
Keywords = {Ground penetratin radar},
Owner = {huber},
Timestamp = {2016.05.10}
}
@Article{maliverno&briggs:2004,
Title = {Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes},
Author = {Alberto Malinverno and Victoria A. Briggs},
Journal = {Geophysics},
Year = {2004},
Number = {4},
Pages = {1005-1016},
Volume = {69},
Doi = {10.1190/1.1778243},
Owner = {huber},
Timestamp = {2018.03.30}
}
@Article{mao&surian:2010,
Title = {Observations on sediment mobility in a large gravel-bed river},
Author = {Luca Mao and Nicola Surian},
Journal = {Geomorphology},
Year = {2010},
Month = {jan},
Number = {3},
Pages = {326--337},
Volume = {114},
Doi = {10.1016/j.geomorph.2009.07.015},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08},
Url = {10.1016/j.geomorph.2009.07.015}
}
@Article{marfurt:2006,
Title = {Robust estimates of 3D reflector dip and azimuth},
Author = {Marfurt, Kurt J.},
Journal = {Geophysics},
Year = {2006},
Number = {4},
Pages = {P29--P40},
Volume = {71},
Abstract = {Much of seismic stratigraphy is based on the morphology of seismic textures. The identification of reflector terminations and subtle changes in dip and azimuth allows us to infer coherent progradational and transgressive packages as well as more chaotic slumps, fans, and braided-stream complexes; infill of karsted terrains; gas seeps; and, of course, faults and angular unconformities. A major difficulty in estimating reflector dip and azimuth arises at discrete lateral and vertical discontinuities across which reflector dip and azimuth change. The smearing across these boundaries produced by traditional dip and azimuth estimations is avoided by using temporally and spatially shifted multiple windows that contain each analysis point. This more robust estimation of dip and azimuth leads to increased resolution of well-established algorithms such as coherence, coherent amplitude gradients, and structurally oriented filtering. More promising still is the analysis of high-resolution dip and azimuth through volumetric estimates of reflector curvature and angular unconformities. This new technique is demonstrated using two land data volumes, one from the Louisiana salt province and the other from the fractured Fort Worth basin.},
Doi = {10.1190/1.2213049},
Eprint = {http://geophysics.geoscienceworld.org/content/71/4/P29.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.17},
Url = {http://geophysics.geoscienceworld.org/content/71/4/P29}
}
@Book{mariethoz&caers:2014,
Title = {Multiple-Point Geostatistics},
Author = {Gregoire Mariethoz and Jef Caers},
Publisher = {John Wiley {\&} Sons, Ltd},
Year = {2014},
Month = {oct},
Doi = {10.1002/9781118662953},
ISBN = {978-1-118-66275-5},
Owner = {emanuel},
Timestamp = {2015.05.15},
Url = {10.1002/9781118662953}
}
@Article{mariethoz&renard:2010,
Title = {Reconstruction of Incomplete Data Sets or Images Using Direct Sampling},
Author = {Mariethoz, Gregoire and Renard, Philippe},
Journal = {Mathematical Geosciences},
Year = {2010},
Number = {3},
Pages = {245--268},
Volume = {42},
Abstract = {With increasingly sophisticated acquisition methods, the amount of data available for mapping physical parameters in the geosciences is becoming enormous. If the density of measurements is sufficient, significant non-parametric spatial statistics can be derived from the data. In this context, we propose to use and adapt the Direct Sampling multiple-points simulation method (DS) for the reconstruction of partially informed images. The advantage of the proposed method is that it can accommodate any data disposition and that it can indifferently deal with continuous and categorical variables. The spatial patterns found in the data are mimicked without model inference. Therefore, very few assumptions are required to define the spatial structure of the reconstructed fields, and very limited parameterization is needed to make the proposed approach extremely simple from a user perspective. The different examples shown in this paper give appealing results for the reconstruction of complex 3D geometries from relatively small data sets.},
Doi = {10.1007/s11004-010-9270-0},
ISSN = {1874-8953},
Owner = {huber},
Timestamp = {2016.05.10}
}
@Article{marin&al:2012,
Title = {Approximate Bayesian computational methods},
Author = {Marin, Jean-Michel and Pudlo, Pierre and Robert, Christian P. and Ryder, Robin J.},
Journal = {Statistics and Computing},
Year = {2012},
Month = {Nov},
Number = {6},
Pages = {1167--1180},
Volume = {22},
Abstract = {Approximate Bayesian Computation (ABC) methods, also known as likelihood-free techniques, have appeared in the past ten years as the most satisfactory approach to intractable likelihood problems, first in genetics then in a broader spectrum of applications. However, these methods suffer to some degree from calibration difficulties that make them rather volatile in their implementation and thus render them suspicious to the users of more traditional Monte Carlo methods. In this survey, we study the various improvements and extensions brought on the original ABC algorithm in recent years.},
Day = {01},
Doi = {10.1007/s11222-011-9288-2},
ISSN = {1573-1375},
Owner = {huber},
Timestamp = {2017.09.14}
}
@Article{marjoram&al:2003,
Title = {Markov chain Monte Carlo without likelihoods},
Author = {Marjoram, Paul and Molitor, John and Plagnol, Vincent and Tavaré, Simon},
Journal = {Proceedings of the National Academy of Sciences},
Year = {2003},
Number = {26},
Pages = {15324-15328},
Volume = {100},
Abstract = {Many stochastic simulation approaches for generating observations from a posterior distribution depend on knowing a likelihood function. However, for many complex probability models, such likelihoods are either impossible or computationally prohibitive to obtain. Here we present a Markov chain Monte Carlo method for generating observations from a posterior distribution without the use of likelihoods. It can also be used in frequentist applications, in particular for maximum-likelihood estimation. The approach is illustrated by an example of ancestral inference in population genetics. A number of open problems are highlighted in the discussion.},
Doi = {10.1073/pnas.0306899100},
Eprint = {http://www.pnas.org/content/100/26/15324.full.pdf},
Owner = {huber},
Timestamp = {2017.02.09},
Url = {http://www.pnas.org/content/100/26/15324.abstract}
}
@Article{marsily&al:2005,
Title = {Dealing with spatial heterogeneity},
Author = {de Marsily, Gh. and F. Delay and J. Gonçalvès and Ph. Renard and V. Teles and S. Violette},
Journal = {Hydrogeology Journal},
Year = {2005},
Month = {feb},
Number = {1},
Pages = {161--183},
Volume = {13},
Doi = {10.1007/s10040-004-0432-3},
Owner = {hubere},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.05.08},
Url = {10.1007/s10040-004-0432-3}
}
@InCollection{marti&bezzola:2005,
Title = {Braided Gravel-Bed Rivers with a Limited Width: Preliminary Results of a Hydraulic Model Study},
Author = {Marti, Christian and Bezzola, Gian Reto},
Booktitle = {Fluvial Sedimentology VII},
Publisher = {Blackwell Publishing Ltd.},
Year = {2005},
Editor = {Blum, M. D. and Marriott, S. B. and Leclair, S. F.},
Pages = {135--144},
Abstract = {For ecological and flood protection reasons, the current policy of the Swiss Federal Office for Water and Geology is to give rivers more space. In contrast to past river training measures, the spatial needs of a river are no longer defined as being a narrow straight channel. As a result, in some areas, rewidening projects are planned or have already been realized. To understand the morphologically dynamic processes of such rewidened sections, which in most cases lead to braided rivers with a limited width, a research project has been started at the Laboratory of Hydraulics, Hydrology and Glaciology (VAW) of the Swiss Federal Institute of Technology (ETH) in Zurich. This project aims to describe and quantify aggradation, degradation and channel rearrangement during floods by means of numerical and physical modelling of braided rivers. A brief overview of existing work, useful in the design of rewidened channels, is presented, and the experimental set-up at VAW as well as the planned experimental concept for the new study are introduced. The first experiments, accomplished in a laboratory flume with constant discharge, are described. Some preliminary results allow the assumption that a sediment transport formula, developed at VAW, is also applicable for widened areas in steep rivers. It is concluded that a low braiding index in the widened river section implies a high transport capacity and vice versa. The highest transport rate was always observed when a dominant single channel was moving laterally.},
Doi = {10.1002/9781444304350.ch8},
File = {2005_marti-and-bezzola_hydraulic-model-study.pdf:papers\\2005_marti-and-bezzola_hydraulic-model-study.pdf:PDF},
Groups = {braided river, modelling, river pattern, dynamic, channel adjustement},
ISBN = {9781444304350},
Keywords = {limited-width braided gravel-bed rivers, laboratory of Hydraulics, Hydrology and Glaciology (VAW), channel morphology in wide river reaches of finite length, use of hydraulic modelling - well-known technique in civil engineering studies, comparison of bed morphology during high and low bedload transport},
Owner = {hubere},
Timestamp = {2014.09.10}
}
@InCollection{marti&bezzola:2006,
Title = {Bed Load Transport in Braided Gravel-Bed Rivers},
Author = {Christian Marti and Gian Reto Bezzola},
Booktitle = {Braided Rivers},
Publisher = {Blackwell Publishing Ltd.},
Year = {2006},
Editor = {Sambrook Smith, G. H. and Best, J. L. and Bristow, C. S. and Petts, G. E.},
Month = {aug},
Pages = {199--215},
Doi = {10.1002/9781444304374.ch9},
Owner = {emanuel},
Timestamp = {2015.05.09}
}
@Article{matthess&al:1988,
Title = {Persistence and transport of bacteria and viruses in groundwater — a conceptual evaluation },
Author = {Georg Matthess and Asaf Pekdeger and Juergen Schroeter},
Journal = {Journal of Contaminant Hydrology },
Year = {1988},
Number = {2},
Pages = {171 - 188},
Volume = {2},
Abstract = {The results of an interdisciplinary research program on the subsurface persistence and transport of pathogenic bacteria and viruses are evaluated on the basis of an expanded advection-dispersion model which considers the persistence of these microorganisms under the conditions found within an aquifer, the retardation by adsorption-desorption processes and the role of filtration processes. The model indicates that the principal controls are filtration processes, the microorganisms being fixed on the filter media are ultimately eliminated or inactivated by biological, chemical and physical processes. },
Doi = {10.1016/0169-7722(88)90006-X},
ISSN = {0169-7722},
Owner = {huber},
Timestamp = {2016.02.03},
Url = {http://www.sciencedirect.com/science/article/pii/016977228890006X}
}
@Article{mattle&al:2001,
Title = {Exploring an aquifer system by integrating hydraulic, hydrogeologic and environmental tracer data in a three-dimensional hydrodynamic transport model },
Author = {N. Mattle and W. Kinzelbach and U. Beyerle and P. Huggenberger and H.H. Loosli},
Journal = {Journal of Hydrology},
Year = {2001},
Number = {3--4},
Pages = {183--196},
Volume = {242},
Doi = {10.1016/S0022-1694(00)00394-2},
ISSN = {0022-1694},
Owner = {huber},
Timestamp = {2015.07.16}
}
@Article{mays&al:2012,
Title = {Plume spreading in groundwater by stretching and folding},
Author = {Mays, David C. and Neupauer, Roseanna M.},
Journal = {Water Resources Research},
Year = {2012},
Number = {7},
Pages = {n/a--n/a},
Volume = {48},
Doi = {10.1029/2011WR011567},
ISSN = {1944-7973},
Owner = {huber},
Timestamp = {2015.07.22}
}
@Article{mcclymont&al:2008,
Title = {Visualization of active faults using geometric attributes of {3D} {GPR} data: An example from the {A}lpine {F}ault {Z}one, {N}ew {Z}ealand},
Author = {Alastair F. McClymont and Alan G. Green and Rita Streich and Heinrich Horstmeyer and Jens Tronicke and David C. Nobes and Jarg Pettinga and Jocelyn Campbell and Robert Langridge},
Journal = {Geophysics},
Year = {2008},
Month = {mar},
Number = {2},
Pages = {B11--B23},
Volume = {73},
Doi = {10.1190/1.2825408},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.26},
Url = {10.1190/1.2825408}
}
@Article{McKergow&Davies-Colley:2010,
Title = {Stormflow dynamics and loads of Escherichia coli in a large mixed land use catchment},
Author = {McKergow, Lucy A. and Davies-Colley, Robert J.},
Journal = {Hydrological Processes},
Year = {2010},
Number = {3},
Pages = {276--289},
Volume = {24},
Doi = {10.1002/hyp.7480},
ISSN = {1099-1085},
Keywords = {diffuse pollution, faecal indicator bacteria, faecal microbes, turbidity},
Owner = {huber},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2016.05.16}
}
@Article{mckinley&al:2018,
Title = {Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic Epidemic Models},
Author = {McKinley, Trevelyan J. and Vernon, Ian and Andrianakis, Ioannis and McCreesh, Nicky and Oakley, Jeremy E. and Nsubuga, Rebecca N. and Goldstein, Michael and White, Richard G.},
Journal = {Statist. Sci.},
Year = {2018},
Month = {02},
Number = {1},
Pages = {4--18},
Volume = {33},
Doi = {10.1214/17-STS618},
Fjournal = {Statistical Science},
Owner = {huber},
Publisher = {The Institute of Mathematical Statistics},
Timestamp = {2018.05.10}
}
@InCollection{meijer&al:2008,
Title = {Modelling the Preservation of Sedimentary Deposits on Passive Continental Margins during Glacial-Interglacial Cycles},
Author = {Xander D. Meijer and George Postma and Peter A. Burrough and Poppe L. de Boer},
Booktitle = {Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction},
Publisher = {Wiley-Blackwell},
Year = {2008},
Editor = {Poppe de Boer and George Postma and Kees van der Zwan and Peter Burgess and Peter Kukla},
Month = {nov},
Pages = {223--238},
Doi = {10.1002/9781444303131.ch10},
Owner = {emanuel},
Timestamp = {2015.05.09}
}
@Article{metropolis&al:1953,
Title = {Equation of State Calculations by Fast Computing Machines},
Author = {Metropolis, Nicholas and Rosenbluth, Arianna W. and Rosenbluth, Marshall N. and Teller, Augusta H. and Teller, Edward},
Journal = {The Journal of Chemical Physics},
Year = {1953},
Number = {6},
Pages = {1087-1092},
Volume = {21},
Doi = {10.1063/1.1699114},
Owner = {huber},
Timestamp = {2016.05.06}
}
@Book{miall:2014,
Title = {Fluvial Depositional Systems},
Author = {Andrew Miall},
Publisher = {Springer International Publishing},
Year = {2014},
Doi = {10.1007/978-3-319-00666-6},
ISBN = {978-3-319-00665-9},
Owner = {emanuel},
Timestamp = {2015.05.15},
Url = {10.1007/978-3-319-00666-6}
}
@Article{miall:1985,
Title = {Architectural-element analysis: A new method of facies analysis applied to fluvial deposits },
Author = {Andrew D. Miall},
Journal = {Earth-Science Reviews },
Year = {1985},
Number = {4},
Pages = {261--308},
Volume = {22},
Abstract = {Existing methods of facies analysis for fluvial deposits rely extensively on vertical profile analysis and comparisons with a limited array of fixed “end member” facies models. However, vertical profiles are not sufficiently diagnostic for this purpose because they cannot adequately represent three-dimensional variations in composition and geometry. A new method of analysis is proposed which subdivides fluvial deposits into local suites consisting of one or more of a set of eight basic three-dimensional architectural elements. These are channels, gravel bars and bedforms, sandy bedforms, foreset macroforms, lateral accretion deposits, sediment gravity flow deposits, laminated sand sheets and overbank fines. Twelve fluvial styles are selected to illustrate possible combinations of these elements. It is suggested that the same methodology could be used for other clastic facies. The better documentation of three-dimensional facies variability that can be obtained should be of considerable use in interpreting sedimentary controls and in carrying out petroleum field development, reservoir engineering or ore grade studies. },
Doi = {10.1016/0012-8252(85)90001-7},
ISSN = {0012-8252},
Owner = {emanuel},
Timestamp = {2015.05.12},
Url = {http://www.sciencedirect.com/science/article/pii/0012825285900017}
}
@Article{michael&al:2010,
Title = {Combining geologic-process models and geostatistics for conditional simulation of {3-D} subsurface heterogeneity},
Author = {Michael, H. A. and Li, H. and Boucher, A. and Sun, T. and Caers, J. and Gorelick, S. M.},
Journal = {Water Resources Research},
Year = {2010},
Month = {may},
Number = {5},
Pages = {W05527},
Volume = {46},
Abstract = {The goal of simulation of aquifer heterogeneity is to produce a spatial model of the subsurface that represents a system such that it can be used to understand or predict flow and transport processes. Spatial simulation requires incorporation of data and geologic knowledge, as well as representation of uncertainty. Classical geostatistical techniques allow for the conditioning of data and uncertainty assessment, but models often lack geologic realism. Simulation of physical geologic processes of sedimentary deposition and erosion (process-based modeling) produces detailed, geologically realistic models, but conditioning to local data is limited at best. We present an aquifer modeling methodology that combines geologic-process models with object-based, multiple-point, and variogram-based geostatistics to produce geologically realistic realizations that incorporate geostatistical uncertainty and can be conditioned to data. First, the geologic features of grain size, or facies, distributions simulated by a process-based model are analyzed, and the statistics of feature geometry are extracted. Second, the statistics are used to generate multiple realizations of reduced-dimensional features using an object-based technique. Third, these realizations are used as multiple alternative training images in multiple-point geostatistical simulation, a step that can incorporate local data. Last, a variogram-based geostatistical technique is used to produce conditioned maps of depositional thickness and erosion. Successive realizations of individual strata are generated in depositional order, each dependent on previously simulated geometry, and stacked to produce a fully conditioned three-dimensional facies model that mimics the architecture of the process-based model. We demonstrate the approach for a typical subsea depositional complex.},
Doi = {10.1029/2009wr008414},
File = {original paper:papers\\2010_michael_geologic-process-geostatistics-3D-conditioning.pdf:PDF;Emanuel's notes:papers\\2010_michael_geologic-process-geostatistics-3D-conditioning.doc:Word},
Groups = {MPS, object-based modelling, modelling, object-based model, turbidite},
ISSN = {0043-1397},
Keywords = {geostatistics, modeling, heterogeneity, geologic-process modeling},
Owner = {hubere},
Publisher = {AGU},
Timestamp = {2011.07.11},
Url = {10.1029/2009WR008414}
}
@Book{michalewicz&fogel:2004,
Title = {How to solve it - modern heuristics},
Author = {Michalewicz, Zbigniew and Fogel, David B.},
Publisher = {Springer},
Year = {2004},
Edition = {2},
ISBN = {978-3-540-22494-5},
Owner = {hubere},
Pages = {554},
Timestamp = {2011-04-29T15:26:45.000+0200}
}
@Article{mirowski&al:2009,
Title = {Stationarity Scores on Training Images for Multipoint Geostatistics},
Author = {Mirowski, Piotr W. and Tetzlaff, Daniel M. and Davies, Roy C. and McCormick, David S. and Williams, Nneka and Signer, Claude},
Journal = {Mathematical Geosciences},
Year = {2009},
Number = {4},
Pages = {447--474},
Volume = {41},
Doi = {10.1007/s11004-008-9194-0},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Article{misra&sacchi:2007,
Title = {Non-minimum phase wavelet estimation by non-linear optimization of all-pass operators},
Author = {Somanath Misra and Mauricio D. Sacchi},
Journal = {Geophysical Prospecting},
Year = {2007},
Month = {mar},
Number = {2},
Pages = {223--234},
Volume = {55},
Doi = {10.1111/j.1365-2478.2007.00597.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28},
Url = {10.1111/j.1365-2478.2007.00597.x}
}
@Article{mo:2002,
Title = {Ensemble canonical correlation prediction of precipitation over the Sahel},
Author = {Kingtse C. Mo},
Journal = {Geophysical Research Letters},
Year = {2002},
Number = {12},
Volume = {29},
Doi = {10.1029/2002gl015075},
Owner = {huber},
Publisher = {Wiley-Blackwell},
Timestamp = {2017.09.24}
}
@Article{moakher:2005,
Title = {A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices},
Author = {Maher Moakher},
Journal = {SIAM Journal on Matrix Analysis and Applications},
Year = {2005},
Number = {3},
Pages = {735-747},
Volume = {26},
Doi = {10.1137/S0895479803436937},
Eprint = { 10.1137/S0895479803436937
},
Owner = {huber},
Timestamp = {2016.07.22},
Url = { 10.1137/S0895479803436937
}
}
@Book{moller&waagepetersen:2003,
Title = {Statistical Inference and Simulation for Spatial Point Processes},
Author = {Jesper Moller and Rasmus Plenge Waagepetersen},
Publisher = {Chapman and Hall/CRC},
Year = {2003},
Owner = {huber},
Page = {320},
Timestamp = {2018.03.20}
}
@Article{mosegaard&sambridge:2002,
Title = {Monte Carlo analysis of inverse problems},
Author = {Klaus Mosegaard and Malcolm Sambridge},
Journal = {Inverse Problems},
Year = {2002},
Month = {apr},
Number = {3},
Pages = {R29--R54},
Volume = {18},
Doi = {10.1088/0266-5611/18/3/201},
Owner = {emanuel},
Publisher = {{IOP} Publishing},
Timestamp = {2015.05.14}
}
@Article{mosegaard&tarantola:1995,
Title = {Monte Carlo sampling of solutions to inverse problems},
Author = {Mosegaard, Klaus and Tarantola, Albert},
Journal = {Journal of Geophysical Research: Solid Earth},
Year = {1995},
Number = {B7},
Pages = {12431--12447},
Volume = {100},
Abstract = {Probabilistic formulation of inverse problems leads to the definition of a probability distribution in the model space. This probability distribution combines a priori information with new information obtained by measuring some observable parameters (data). As, in the general case, the theory linking data with model parameters is nonlinear, the a posteriori probability in the model space may not be easy to describe (it may be multimodal, some moments may not be defined, etc.). When analysing an inverse problem, obtaining a maximum likelihood model is usually not sufficient, as we normally also wish to have information on the resolution power of the data. In the general case we may have a large number of model parameters, and an inspection of the marginal probability densities of interest may be impractical, or even useless. But it is possible to pseudorandomly generate a large collection of models according to the posterior probability distribution and to analyse and display the models in such a way that information on the relative likelihoods of model properties is conveyed to the spectator. This can be accomplished by means of an efficient Monte Carlo method, even in cases where no explicit formula for the a priori distribution is available. The most well known importance sampling method, the Metropolis algorithm, can be generalized, and this gives a method that allows analysis of (possibly highly nonlinear) inverse problems with complex a priori information and data with an arbitrary noise distribution.},
Doi = {10.1029/94JB03097},
ISSN = {2156-2202},
Owner = {hubere},
Timestamp = {2013.08.24}
}
@Article{mosley:1976,
Title = {An experimental study of channel confluences},
Author = {Mosley, M.P.},
Journal = {The Journal of Geology},
Year = {1976},
Month = {September},
Number = {5},
Pages = {835-562},
Volume = {84},
Owner = {hubere},
Timestamp = {2014.05.14}
}
@Article{moysey&al:2003,
Title = {Stochastic estimation of facies using ground penetrating radar data},
Author = {Moysey, S. and Caers, J. and Knight, R. and Allen-King, M. R.},
Journal = {Stochastic Environmental Research and Risk Assessment},
Year = {2003},
Number = {5},
Pages = {306--318},
Volume = {17},
Abstract = {Explicitly defining large-scale heterogeneity is a necessary step of groundwater model calibration if accurate estimates of flow and transport are to be made. In this work, neural networks are used to estimate radar facies probabilities from ground penetrating radar (GPR) images, yielding stochastic facies-based models that honour the large-scale architecture of the subsurface. For synthetic GPR images, a neural network was able to correctly identify radar facies with an accuracy of approximately 90{\%}. Manual interpretation of a set of 450 MHz GPR field data from the Borden aquifer resulted in the identification of four radar facies. Of these, a neural network was able to identify two facies with an accuracy of near 80{\%} and one with an accuracy of 44{\%}. The neural network was not able to identify the fourth facies, likely due to the choice of defining facies characteristics. Sequential indicator simulation was used to generate facies realizations conditioned to the radar facies probabilities. Numerical simulations indicate that significant improvements in the prediction of solute transport are possible when GPR is used to constrain the facies model compared to using well data alone, especially when data are sparse.},
Doi = {10.1007/s00477-003-0152-6},
ISSN = {1436-3259},
Owner = {huber},
Timestamp = {2016.07.18},
Url = {10.1007/s00477-003-0152-6}
}
@Book{NRC:2000,
Title = {Research Needs in Subsurface Science},
Author = {{National Research Council}},
Editor = {{National Research Council}},
Publisher = {The National Academy Press},
Year = {2000},
Address = {Washington (DC)},
ISBN = {978-0-309-09033-9},
Owner = {hubere},
Pages = {180},
Timestamp = {2015.05.08}
}
@Article{neal:2004,
Title = {Ground-penetrating radar and its use in sedimentology: principles, problems and progress},
Author = {Adrian Neal},
Journal = {Earth-Science Reviews},
Year = {2004},
Number = {3--4},
Pages = {261--330},
Volume = {66},
Abstract = {Ground-penetrating radar (GPR, also referred to as ground-probing radar, surface-penetrating radar, subsurface radar, georadar or impulse radar) is a noninvasive geophysical technique that detects electrical discontinuities in the shallow subsurface (<50 m). It does this by generation, transmission, propagation, reflection and reception of discrete pulses of high-frequency (MHz) electromagnetic energy. During the 1980s radar systems became commercially available, but it was not until the mid-1990s that sedimentary geologists and others began to widely exploit the technique. During the last decade numerous sedimentological studies have used GPR to reconstruct past depositional environments and the nature of sedimentary processes in a variety of environmental settings; to aid hydrogeological investigations, including groundwater reservoir characterisation, and to assist in hydrocarbon reservoir analogue studies. This is because in correctly processed radar profiles, and at the resolution of a survey, primary reflections usually parallel primary depositional structure. Despite the wide use of GPR, a number of fundamental problems remain in its application to sedimentary research. In particular, there are a wide range of approaches to the processing of radar data and interpretation techniques used on the final subsurface images vary widely, with little consensus over a common methodology. This review attempts to illustrate that methods for the collection, processing and interpretation of radar data are intimately linked and that thorough understanding of the nature, limitations and implications of each step is required if realistic sedimentological data are to be generated. In order to extract the maximum amount of meaningful information, the user must understand the scientific principles that underlie the technique, the effects of the data collection regime employed, the implications of the technique's finite resolution and depth of penetration, the nature and causes of reflections unrelated to primary sedimentary structure, and the appropriateness of each processing step with respect to the overall aim of the study. Following suitable processing, a radar stratigraphy approach to reflection profile interpretation should be adopted. New or modified terminologies and techniques to define a radar stratigraphy are also recommended, in order to make the interpretation process more transparent and to avoid confusion with related methodologies such as seismic stratigraphy and sequence stratigraphy. The full potential of GPR in sedimentary research will only be realised if more thorough and systematic approaches to data collection, processing and interpretation are adopted.},
Doi = {10.1016/j.earscirev.2004.01.004},
File = {original paper:papers\\2004_Neal_GPR-in-sedimentology-principles-problems-progress.pdf:PDF;Emanuel's notes:papers\\2004_Neal_GPR-in-sedimentology-principles-problems-progress.doc:Word},
Groups = {GPR, review, processing, sedimentology, fluvial sedimentology},
ISSN = {0012-8252},
Keywords = {CMP, GPR, GPR principles, GPR processing, GPR resolution, facies},
Review = {Theoretical background (dielectric permitivity, conductivity, magnetic permeability, sensitve to discontinuity) Inherent limitation of unprocessed GPR data (resolution, diffraction...) Data processing Radar reflection interpretation (stratigraphie and surface/facies) (1)have a full appreciation of inherent limitations of the data (2)be able to process data to an appropriate level (3)develop skills to identify reflections not related to primary depositional structure (4)understand the principles of radar stratigraphy and its implementation}
}
@Article{nearing&al:2016,
Title = {A philosophical basis for hydrological uncertainty},
Author = {Grey S. Nearing and Yudong Tian and Hoshin V. Gupta and Martyn P. Clark and Kenneth W. Harrison and Steven V. Weijs},
Journal = {Hydrological Sciences Journal},
Year = {2016},
Number = {9},
Pages = {1666-1678},
Volume = {61},
Doi = {10.1080/02626667.2016.1183009},
Owner = {huber},
Timestamp = {2017.02.24}
}
@Article{neupauer&al:2014,
Title = {Chaotic advection and reaction during engineered injection and extraction in heterogeneous porous media},
Author = {Neupauer, Roseanna M. and Meiss, James D. and Mays, David C.},
Journal = {Water Resources Research},
Year = {2014},
Number = {2},
Pages = {1433--1447},
Volume = {50},
Doi = {10.1002/2013WR014057},
ISSN = {1944-7973},
Keywords = {Groundwater hydraulics, Modeling, Chaos, in situ remediation, chaotic advection},
Owner = {huber},
Timestamp = {2016.02.25}
}
@InProceedings{neves&miller:1996,
Title = {Source signature deconvolution of ground penetrating radar data},
Author = {Neves, F.A. and Miller, J.A.},
Booktitle = {6th Int. Conf. Ground Penetrating Radar},
Year = {1996},
Pages = {573--578.},
Abstract = {Data from a ground penetrating radar (GPR) survey conducted at a site near Cambridge, UK, were processed. The application of source signature deconvolution using complex spectral division has significantly increased the resolution of the subsurface rada data. The source wavelet was statistically estimated from the radargrams. A velocity structure is suggested, supported by borehole data and analysis of a common mid-pint (CMP) gather. A subsurface profile of the area from a 600 m long transect was constructed. This profile showed a clearly defined water table and a gentle rise in an underlying clay layer across the transect. -Authors},
Journal = {Revista Brasileira de Geofisica},
Owner = {emanuel},
Timestamp = {2015.05.28},
Url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0029526305&partnerID=40&md5=9e2e3426e32e26dc71e4e32df947fc4b}
}
@Article{nilsson:2007,
Title = {Uncertainty in geological and hydrogeological data},
Author = {Nilsson, B. and H{\o}jberg, A. L. and Refsgaard, J. C. and Troldborg, L.},
Journal = {Hydrology and Earth System Sciences},
Year = {2007},
Number = {5},
Pages = {1551--1561},
Volume = {11},
Doi = {10.5194/hess-11-1551-2007},
Owner = {emanuel},
Timestamp = {2013.03.09},
Url = {http://www.hydrol-earth-syst-sci.net/11/1551/2007/}
}
@Article{norbiato&al:2007,
Title = {Regional frequency analysis of extreme precipitation in the eastern {I}talian {A}lps and the {A}ugust 29, 2003 flash flood},
Author = {Daniele Norbiato and Marco Borga and Marco Sangati and Francesco Zanon},
Journal = {Journal of Hydrology},
Year = {2007},
Month = {oct},
Number = {3--4},
Pages = {149--166},
Volume = {345},
Doi = {10.1016/j.jhydrol.2007.07.009},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.09},
Url = {10.1016/j.jhydrol.2007.07.009}
}
@InProceedings{oimoen:2000,
Title = {An effective filter for removal of production artifacts in {U.S.} {G}eological {S}urvey 7.5-minute digital elevation models},
Author = {Oimoen, M.J.},
Booktitle = {Proceedings of the Fourteenth International Conference on Applied Geologic Remote Sensing, 06–08 November, Las Vegas, Nevada (Veridian ERIM International, Ann Arbor, Michigan)},
Year = {2000},
Pages = {311--319},
Owner = {emanuel},
Timestamp = {2015.06.06}
}
@Article{oliver:2002,
Title = {Conditioning Channel Meanders to Well Observations},
Author = {Oliver, Dean S.},
Journal = {Mathematical Geology},
Year = {2002},
Month = {Feb},
Number = {2},
Pages = {185--201},
Volume = {34},
Abstract = {Assessment of uncertainty in the performance of fluvial reservoirs often requires the ability to generate realizations of channel sands that are conditional to well observations. For channels with low sinuosity this problem has been effectively solved. When the sinuosity is large, however, the standard stochastic models for fluvial reservoirs are not valid, because the deviation of the channel from a principal direction line is multivalued. In this paper, I show how the method of randomized maximum likelihood can be used to generate conditional realizations of channels with large sinuosity. In one example, a Gaussian random field model is used to generate an unconditional realization of a channel with large sinuosity, and this realization is then conditioned to well observations. Channels generated in the second approach are less realistic, but may be sufficient for modeling reservoir connectivity in a realistic way. In the second example, an unconditional realization of a channel is generated by a complex geologic model with random forcing. It is then adjusted in a meaningful way to honor well observations. The key feature in the solution is the use of channel direction instead of channel deviation as the characteristic random function describing the geometry of the channel.},
Day = {01},
Doi = {10.1023/A:1014464202497},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.06}
}
@Article{olsthoorn:2008,
Title = {Do a Bit More with Convolution},
Author = {Olsthoorn, Theo N.},
Journal = {Ground Water},
Year = {2008},
Number = {1},
Pages = {13--22},
Volume = {46},
Doi = {10.1111/j.1745-6584.2007.00342.x},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Inc},
Timestamp = {2016.05.16},
Url = {10.1111/j.1745-6584.2007.00342.x}
}
@PhdThesis{osborne:2010,
Title = {Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature},
Author = {Osborne, Michael},
School = {University of Oxford},
Year = {2010},
Owner = {huber},
Timestamp = {2016.01.20}
}
@Article{osborne&al:2012,
Title = {Real-time Information Processing of Environmental Sensor Network Data Using Bayesian Gaussian Processes},
Author = {Osborne, Michael A. and Roberts, Stephen J. and Rogers, Alex and Jennings, Nicholas R.},
Journal = {ACM Trans. Sen. Netw.},
Year = {2012},
Month = nov,
Number = {1},
Pages = {1:1--1:32},
Volume = {9},
Acmid = {2379800},
Address = {New York, NY, USA},
Articleno = {1},
Doi = {10.1145/2379799.2379800},
ISSN = {1550-4859},
Issue_date = {November 2012},
Keywords = {Gaussian processes, Learning of models from data, adaptive sampling, information processing},
Numpages = {32},
Owner = {huber},
Publisher = {ACM},
Timestamp = {2016.05.14},
Url = {http://doi.acm.org/10.1145/2379799.2379800}
}
@Article{page&al:2012b,
Title = {Principal component analysis of time series for identifying indicator variables for riverine groundwater extraction management },
Author = {Rebecca M. Page and Gunnar Lischeid and Jannis Epting and Peter Huggenberger},
Journal = {Journal of Hydrology },
Year = {2012},
Pages = {137 - 144},
Volume = {432–433},
Abstract = {Summary Although alluvial aquifers connected to rivers can be a rich source of drinking water, they are susceptible to contamination by infiltrating river water. The processes governing river–groundwater interaction are variable in time and space. Natural filtration mechanisms are often not sufficient during high discharge events in the river. To capture the dynamics of river–groundwater interaction, indicator parameters that can serve as proxies for river water infiltration need to be derived. Principal component analysis of continuously measured time series was used to identify indicator wells and derive indicator parameters for a study area in \{NW\} Switzerland. The results showed different sources of variation in the parameters, including river stage fluctuations. The multivariate approach highlighted differences between observation wells based on the response of the measured parameters to effects of damping and delay of the input signals. Three observation wells were shown to be representative of river–groundwater interaction dynamics in the study area. Of the three parameters analysed, groundwater head and electrical conductivity are recommended as a combined proxy for river water infiltration in the study area. In contrast, temperature proved not to be a reliable indicator. },
Doi = {10.1016/j.jhydrol.2012.02.025},
ISSN = {0022-1694},
Keywords = {Groundwater quality},
Owner = {huber},
Timestamp = {2016.05.16}
}
@Article{page&al:2012,
Title = {Faecal Indicator Bacteria: Groundwater Dynamics and Transport Following Precipitation and River Water Infiltration},
Author = {Rebecca M. Page and Stefan Scheidler and Elif Polat and Paul Svoboda and Peter Huggenberger},
Journal = {Water, Air, {\&} Soil Pollution},
Year = {2012},
Month = {jan},
Number = {5},
Pages = {2771--2782},
Volume = {223},
Doi = {10.1007/s11270-011-1065-5},
Owner = {huber},
Publisher = {Springer Science + Business Media},
Timestamp = {2016.01.22},
Url = {10.1007/s11270-011-1065-5}
}
@Article{paiero:2003,
Title = {The Pleistocene evolution of Arzino alluvial fan and western part of Tagliamento morainic amphitheatre (Friuli, NE Italy)},
Author = {Paiero, Giovanni and Monegato, Giovanni},
Journal = {Il Quaternario Italian Journal of Quaternary Sciences},
Year = {2003},
Number = {2},
Pages = {185--193},
Volume = {16},
File = {original's paper:papers\\2003_paiero-and-monegato_pleistocene-arzino-alluvial-fan.pdf:PDF},
Owner = {hubere},
Timestamp = {2013.05.02}
}
@Article{parker&al:2013,
Title = {Quantification of the relation between surface morphodynamics and subsurface sedimentological product in sandy braided rivers},
Author = {Natalie O. Parker and Gregory H. Sambrook Smith and Philip J. Ashworth and James L. Best and Stuart N. Lane and Ian A. Lunt and Christopher J. Simpson and Roberte. Thomas},
Journal = {Sedimentology},
Year = {2013},
Month = {oct},
Number = {3},
Pages = {820--839},
Volume = {60},
Doi = {10.1111/j.1365-3091.2012.01364.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09}
}
@Article{pasquier&marcotte:2006,
Title = {Steady- and transient-state inversion in hydrogeology by successive flux estimation },
Author = {Philippe Pasquier and Denis Marcotte},
Journal = {Advances in Water Resources },
Year = {2006},
Number = {12},
Pages = {1934 - 1952},
Volume = {29},
Abstract = {A calibration method to solve the groundwater inverse problem under steady- and transient-state conditions is presented. The method compares kriged and numerical head field gradients to modify hydraulic conductivity without the use of non-linear optimization techniques. The process is repeated iteratively until a close match with piezometric data is reached. The approach includes a damping factor to avoid divergence and oscillation of the solution in areas of low hydraulic gradient and a weighting factor to account for temporal head variation in transient simulations. The efficiency of the method in terms of computing time and calibration results is demonstrated with a synthetic field. It is shown that the proposed method provides parameter fields that reproduce both hydraulic conductivity and piezometric data in few forward model solutions. Stochastic numerical experiments are conducted to evaluate the sensitivity of the method to the damping function and to the head field estimation errors. },
Doi = {10.1016/j.advwatres.2006.02.001},
ISSN = {0309-1708},
Keywords = {Groundwater inverse problem},
Owner = {huber},
Timestamp = {2016.05.16}
}
@Article{pavlidis:1983,
Title = {Curve Fitting with Conic Splines},
Author = {Pavlidis, Theodosios},
Journal = {ACM Trans. Graph.},
Year = {1983},
Month = jan,
Number = {1},
Pages = {1--31},
Volume = {2},
Acmid = {357315},
Address = {New York, NY, USA},
Doi = {10.1145/357314.357315},
ISSN = {0730-0301},
Issue_date = {Jan. 1983},
Numpages = {31},
Owner = {emanuel},
Publisher = {ACM},
Timestamp = {2015.05.14}
}
@Article{pearson:2002,
Title = {Outliers in process modeling and identification},
Author = {R.K. Pearson},
Journal = {{IEEE} Transactions on Control Systems Technology},
Year = {2002},
Number = {1},
Pages = {55--63},
Volume = {10},
Doi = {10.1109/87.974338},
Owner = {emanuel},
Publisher = {Institute of Electrical {\&} Electronics Engineers ({IEEE})},
Timestamp = {2015.05.14}
}
@Article{pedersen&clemmensen:2005,
Title = {Unveiling past aeolian landscapes: A ground-penetrating radar survey of a Holocene coastal dunefield system, Thy, Denmark},
Author = {Karsten Pedersen and Lars B. Clemmensen},
Journal = {Sedimentary Geology},
Year = {2005},
Month = {jun},
Number = {1-2},
Pages = {57--86},
Volume = {177},
Doi = {10.1016/j.sedgeo.2005.02.001},
Owner = {huber},
Publisher = {Elsevier {BV}},
Timestamp = {2016.05.06}
}
@Conference{peeters&al:2011,
Title = {Improving parameter estimation in transient groundwater models through temporal differencing},
Author = {Peeters, L. J. M. and Rassam, D. and Lerat, J.},
Booktitle = {19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December},
Year = {2011},
Owner = {huber},
Timestamp = {2016.01.22}
}
@InCollection{peeters&al:2009,
Title = {Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging},
Author = {Peeters, T. H. J. M. and Rodrigues, P. R. and Vilanova, A. and ter Haar Romeny, B. M.},
Booktitle = {Visualization and Processing of Tensor Fields: Advances and Perspectives},
Publisher = {Springer Berlin Heidelberg},
Year = {2009},
Address = {Berlin, Heidelberg},
Editor = {Laidlaw, David and Weickert, Joachim},
Pages = {113--136},
Doi = {10.1007/978-3-540-88378-4_6},
ISBN = {978-3-540-88378-4},
Owner = {huber},
Timestamp = {2016.07.20},
Url = {http://dx.doi.org/10.1007/978-3-540-88378-4_6}
}
@Book{pettijohn&al:1987,
Title = {Sand and Sandstone},
Author = {Pettijohn, F.J. and Potter, P.E. and Siever, R.},
Publisher = {Springer New York},
Year = {1987},
Series = {Springer Study Edition Series},
ISBN = {9780387963501},
Lccn = {lc86017925},
Owner = {emanuel},
Timestamp = {2015.05.30},
Url = {https://books.google.ch/books?id=QnpYqGksckwC}
}
@Article{petts&al:2000,
Title = {Longitudinal variations in exposed riverine sediments: a context for the ecology of the Fiume Tagliamento, Italy},
Author = {G.E. Petts and A.M. Gurnell and A.J. Gerrard and D.M. Hannah and B. Hansford and I. Morrissey and P.J. Edwards and J. Kollmann and J.V. Ward and K. Tockner and B.P.G. Smith},
Journal = {Aquatic Conservation: Marine and Freshwater Ecosystems},
Year = {2000},
Number = {4},
Pages = {249--266},
Volume = {10},
Doi = {10.1002/1099-0755(200007/08)10:4<249::aid-aqc410>3.0.co;2-r},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1002/1099-0755(200007/08)10:4<249::AID-AQC410>3.0.CO;2-R}
}
@TechReport{peyre:2007,
Title = {Oriented Patterns Synthesis},
Author = {Gabriel Peyré},
Year = {2007},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{phillips:2003,
Title = {Sources of nonlinearity and complexity in geomorphic systems},
Author = {Phillips, Jonathan D.},
Journal = {Progress in Physical Geography},
Year = {2003},
Number = {1},
Pages = {1-23},
Volume = {27},
Abstract = {Nonlinearity is common in geomorphology, though not present or relevant in every geomorphic problem. It is often ignored, sometimes to the detriment of understanding surface processes and landforms. Nonlinearity opens up possibilities for complex behavior that are not possible in linear systems, though not all nonlinear systems are complex. Complex nonlinear dynamics have been documented in a number of geomorphic systems, thus nonlinear complexity is a characteristic of real-world landscapes, not just models. In at least some cases complex nonlinear dynamics can be directly linked to specific geomorphic processes and controls. Nonlinear complexities pose obstacles for some aspects of prediction in geomorphology, but provide opportunities and tools to enhance predictability in other respects. Methods and theories based on or grounded in complex nonlinear dynamics are useful to geomorphologists. These nonlinear frameworks can explain some phenomena not otherwise explained, provide better or more appropriate analytical tools, improve the interpretation of historical evidence and usefully inform modeling, experimental design, landscape management and environmental policy. It is also clear that no nonlinear formalism (and, as of yet, no other formalism) provides a universal meta-explanation for geomorphology. The sources of nonlinearity in geomorphic systems largely represent well-known geomorphic processes, controls and relationships that can be readily observed. A typology is presented, including thresholds, storage effects, saturation and depletion, self-reinforcing feedback, self-limiting processes, competitive feedbacks, multiple modes of adjustment, self-organization and hysteresis.},
Doi = {10.1191/0309133303pp340ra},
Eprint = {http://ppg.sagepub.com/content/27/1/1.full.pdf+html},
File = {original paper:papers\\2003_phillips_geomorphology-source-of-nonlinearity-complexity.pdf:PDF;Emanuel's notes:papers\\2003_phillips_geomorphology-source-of-nonlinearity-complexity.pdf.doc:Word},
Groups = {geomorphology, concepts, epistemology},
Owner = {hubere},
Timestamp = {2011.07.14},
Url = {http://ppg.sagepub.com/content/27/1/1.abstract}
}
@Article{pirot&al:2015,
Title = {A pseudo genetic model of coarse braided-river deposits},
Author = {Pirot, Guillaume and Straubhaar, Julien and Renard, Philippe},
Journal = {Water Resources Research},
Year = {2015},
Number = {12},
Pages = {9595--9611},
Volume = {51},
Doi = {10.1002/2015WR017078},
ISSN = {1944-7973},
Keywords = {Modeling, stochastic model, heterogeneous aquifer, braided-river model, analog data},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Article{pirot&al:2014,
Title = {Simulation of braided river elevation model time series with multiple-point statistics},
Author = {Guillaume Pirot and Julien Straubhaar and Philippe Renard},
Journal = {Geomorphology },
Year = {2014},
Pages = {148--156},
Volume = {214},
Abstract = {Abstract A new method is proposed to generate successive topographies in a braided river system. Indeed, braided river morphology models are a key factor influencing river–aquifer interactions and have repercussions in ecosystems, flood risk or water management. It is essentially based on multivariate multiple-point statistics simulations and digital elevation models as training data sets. On the one hand, airborne photography and \{LIDAR\} acquired at successive time steps have contributed to a better understanding of the geomorphological processes although the available data are sparse over time and river scales. On the other hand, geostatistics provide simulation tools for multiple and continuous variables, which allow the exploration of the uncertainty of many assumption scenarios. Illustration of the approach demonstrates the ability of multiple-point statistics to produce realistic topographies from the information provided by digital elevation models at two time steps. },
Doi = {10.1016/j.geomorph.2014.01.022},
ISSN = {0169-555X},
Keywords = {Braided river},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{poirier:1998,
Title = {Revising beliefs in nonidentified models},
Author = {Poirier, Dale J.},
Journal = {Econometric Theory},
Year = {1998},
Number = {4},
Pages = {483–509},
Volume = {14},
Owner = {huber},
Publisher = {Cambridge University Press},
Timestamp = {2018.05.18}
}
@TechReport{pollock:2012,
Title = {User Guide for MODPATH Version 6 -- A Particle-Tracking Model for MODFLOW},
Author = {David W. Pollock},
Institution = {U.S. Geological Survey,},
Year = {2012},
Number = {6--A41},
Type = {Techniques and Methods},
Owner = {huber},
Timestamp = {2016.01.29}
}
@Article{polzehl&spokoiny:2006,
Title = {Local Likelihood Modeling by Adaptive Weights Smoothing},
Author = {Polzehl, J. and Spokoiny, V.},
Journal = {Probability Theory and Related Fields},
Year = {2006},
Pages = {335--362},
Volume = {135},
Owner = {emanuel},
Timestamp = {2015.06.07}
}
@Article{polzehl&tabelow:2007,
Title = {Adaptive Smoothing of Digital Images: The {R} Package {adimpro}},
Author = {J\"org Polzehl and Karsten Tabelow},
Journal = {Journal of Statistical Software},
Year = {2007},
Number = {1},
Pages = {1--17},
Volume = {19},
Owner = {emanuel},
Timestamp = {2015.06.07}
}
@Article{poole&al:2008,
Title = {Hydrologic spiralling: the role of multiple interactive flow paths in stream ecosystems},
Author = {Poole, G. C. and O'Daniel, S. J. and Jones, K. L. and Woessner, W. W. and Bernhardt, E. S. and Helton, A. M. and Stanford, J. A. and Boer, B. R. and Beechie, T. J.},
Journal = {River Research and Applications},
Year = {2008},
Number = {7},
Pages = {1018--1031},
Volume = {24},
Abstract = {Abstract We develop and illustrate the concept of hydrologic spiralling using a high-resolution (2????????2???m grid cell) simulation of hyporheic hydrology across a 1.7???km2 section of the sand, gravel and cobble floodplain aquifer of the upper Umatilla River of northeastern Oregon, USA. We parameterized the model using a continuous map of surface water stage derived from LIDAR remote sensing data. Model results reveal the presence of complex spatial patterns of hyporheic exchange across spatial scales. We use simulation results to describe streams as a collection of hierarchically organized, individual flow paths that spiral across ecotones within streams and knit together stream ecosystems. Such a view underscores the importance of: (1) gross hyporheic exchange rates in rivers, (2) the differing ecological roles of short and long hyporheic flow paths, and (3) the downstream movement of water and solutes outside of the stream channel (e.g. in the alluvial aquifer). Hydrologic spirals underscore important limitations of empirical measures of biotic solute uptake from streams and provide a needed hydrologic framework for emerging research foci in stream ecology such as hydrologic connectivity, spatial and temporal variation in biogeochemical cycling rates and the role of stream geomorphology as a dominant control on stream ecosystem dynamics. Copyright ?? 2008 John Wiley & Sons, Ltd.},
Doi = {10.1002/rra.1099},
Groups = {hydrogeology, technical, measurement},
ISSN = {1535-1467},
Keywords = {hyporheic zone, river, floodplain, groundwater, surface water, biogeochemistry, temperature, aquatic habitat},
Owner = {hubere},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2011.04.04},
Url = {http://dx.doi.org/10.1002/rra.1099}
}
@Article{poole&al:2002,
Title = {Three-dimensional mapping of geomorphic controls on flood-plain hydrology and connectivity from aerial photos},
Author = {Geoffrey C. Poole and Jack A. Stanford and Christopher A. Frissell and Steven W. Running},
Journal = {Geomorphology},
Year = {2002},
Number = {4},
Pages = {329 - 347},
Volume = {48},
Abstract = {The Nyack flood plain of the Middle Fork Flathead River, MT, USA is a 9-km anastomosed alluvial montane flood plain. Upstream from the flood plain, the river is unregulated and the catchment virtually pristine. A patchy mosaic of vegetation and channels exists on the flood-plain surface. The surface and subsurface geomorphic structures of the flood plain facilitate high hydrologic connectivity (water flux between the channel and flood plain) marked by complex seasonal patterns of flood-plain inundation, extensive penetration of channel water laterally into the alluvial aquifer, and springbrooks formed by ground water erupting onto the flood-plain surface. After delineating and classifying flood-plain #elements# (vegetation patches and channel reaches) on the flood plain, we analyzed field-based elevation survey data to identify expected relationships among flood-plain element type, surface scour frequency, and flood-plain elevation. Data analyses show that scour frequency was inversely proportional to the elevation of the flood plain above river stage, except when localized geomorphic controls such as natural levees prevent normal high flows from inundating and scouring relatively low flood-plain elements. Further, while different flood-plain element types occupy distinct elevation zones on the flood plain, the elevation of each zone above the river channel varies with localized channel entrenchment. We found that topographic variation among flood-plain elements is greater than the variation within elements, suggesting that coarse-scale flood-plain topography can be characterized by delineating flood-plain elements. Field data document strong associations between specific classes of flood-plain elements and preferential ground-water flow paths in the upper alluvial aquifer. Combined with preexisting ground penetrating RADAR (GPR) surveys, these data intimate a sinuous lattice of preferential ground-water flow paths (buried abandoned streambeds) in the upper alluvial aquifer at approximately the same elevation as the main channel's streambed. Using aerial photo interpretation and the identified relationships among element-types, elevation, and preferential ground-water flow paths, we developed a quantitative, three-dimensional characterization of surface and subsurface geomorphology across the entire flood plain to support a heuristic modeling effort investigating the influence of flood-plain geomorphology on spatio-temporal patterns of surface and ground-water flow and exchange under dynamic hydrologic regimes.},
Doi = {10.1016/S0169-555X(02)00078-8},
File = {original paper:papers\\2002_Poole-and-al_3D-mapping-geomorphic-controls-floodplain.pdf:PDF;Emanuel's notes:papers\\2002_Poole-and-al_3D-mapping-geomorphic-controls-floodplain.doc:Word},
Groups = {floodplain relative elevation, vegetation, elevation, measurement, USA},
ISSN = {0169-555X},
Keywords = {Relative elevation, Preferential ground-water flow, Patch and channel types, Remote sensing, Hydrologic modeling, Nyack Flood Plain, Flathead River, Montana},
Owner = {emanuel},
Timestamp = {2011.05.19},
Url = {http://www.sciencedirect.com/science/article/B6V93-45N822D-2/2/ab0db2748bbce8d774a95f86c356c37b}
}
@Article{pop&al:2008,
Title = {A PDE-Based Approach to Three-Dimensional Seismic Data Fusion},
Author = {S. Pop and O. Lavialle and M. Donias and R. Terebes and M. Borda and S. Guillon and N. Keskes},
Journal = {IEEE Transactions on Geoscience and Remote Sensing},
Year = {2008},
Month = {May},
Number = {5},
Pages = {1385-1393},
Volume = {46},
Abstract = {We present a new method for the denoising and fusion, which is dedicated to multiazimuth seismic data. We propose to combine low-level fusion and diffusion processes through the use of a unique model based on partial differential equations. The denoising process is driven by the seismic fault preserving diffusion equation. Meanwhile, relevant information (as seismic faults) is injected in the fused 3-D images by an inverse diffusion process. One of the advantages of such an original approach is to improve the quality of the results in case of noisy inputs, which are frequently occurring in seismic unprocessed data. Some examples on synthetic and real seismic data will demonstrate the efficiency of our method.},
Doi = {10.1109/TGRS.2008.916209},
ISSN = {0196-2892},
Keywords = {faulting;geophysical techniques;image denoising;image fusion;seismology;3D images fusion;3D seismic data fusion;denoising process;diffusion equation;inverse diffusion process;noisy inputs;partial differential equations;seismic fault;seismic unprocessed data;synthetic data;Acoustic reflection;Azimuth;Diffusion processes;Geology;Helium;Image fusion;Impedance;Noise reduction;Partial differential equations;Pixel;Diffusion;fusion;multiazimuth (MAZ) acquisition;partial differential equation (PDE);seismic},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{porsani&ursin:1998,
Title = {Mixed-phase deconvolution},
Author = {Milton J. Porsani and Bjorn Ursin},
Journal = {Geophysics},
Year = {1998},
Month = {mar},
Number = {2},
Pages = {637--647},
Volume = {63},
Doi = {10.1190/1.1444363},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@InProceedings{porsani&ursin:1996,
Title = {Mixed-phase deconvolution of seismic and ground penetrating radar data},
Author = {Milton J. Porsani and Bj{\o}rn Ursin},
Booktitle = {{SEG} Technical Program Expanded Abstracts 1996},
Year = {1996},
Month = {jan},
Publisher = {Society of Exploration Geophysicists},
Doi = {10.1190/1.1826430},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{post:2013,
Title = {Review: Hydraulic head measurements{\textemdash}new technologies, classic pitfalls},
Author = {Vincent E. A. Post and Jos R. von Asmuth},
Journal = {Hydrogeol J},
Year = {2013},
Month = {apr},
Number = {4},
Pages = {737--750},
Volume = {21},
Doi = {10.1007/s10040-013-0969-0},
Owner = {huber},
Publisher = {Springer Science + Business Media},
Timestamp = {2016.01.22},
Url = {http://dx.doi.org/10.1007/s10040-013-0969-0}
}
@InBook{pourahmadi:2013,
Title = {Data, Sparsity, and Regularization},
Author = {Mohsen Pourahmadi},
Chapter = {2},
Pages = {21--43},
Publisher = {John Wiley \& Sons, Inc.},
Year = {2013},
Booktitle = {High-Dimensional Covariance Estimation},
Doi = {10.1002/9781118573617.ch2},
ISBN = {9781118573617},
Keywords = {data matrices, Lasso regression, regularization methods, sample covariance matrix, sample eigenvalues, sparsity},
Owner = {huber},
Timestamp = {2016.04.29},
Url = {http://dx.doi.org/10.1002/9781118573617.ch2}
}
@Article{pritchard&al:1999,
Title = {Population growth of human Y chromosomes: a study of Y chromosome microsatellites.},
Author = {J K Pritchard and M T Seielstad and A Perez-Lezaun and M W Feldman},
Journal = {Molecular biology and evolution},
Year = {1999},
Number = {12},
Pages = {1791--8},
Volume = {16},
Owner = {huber},
Timestamp = {2017.09.14}
}
@Article{ramanathan&al:2010,
Title = {Simulating the heterogeneity in braided channel belt deposits: 1. {A} geometric-based methodology and code},
Author = {Ramanathan, Ramya and Guin, Arijit and Ritzi, Robert W. and Dominic, David F. and Freedman, Vicky L. and Scheibe, Timothy D. and Lunt, Ian A.},
Journal = {Water Resources Research},
Year = {2010},
Note = {W04515},
Number = {4},
Pages = {W04515},
Volume = {46},
Abstract = {A geometric-based simulation methodology was developed and incorporated into a computer code to model the hierarchical stratal architecture, and the corresponding spatial distribution of permeability, in braided channel belt deposits. The code creates digital models of these deposits as a three-dimensional cubic lattice, which can be used directly in numerical aquifer or reservoir models for fluid flow. The digital models have stratal units defined from the kilometer scale to the centimeter scale. These synthetic deposits are intended to be used as high-resolution base cases in various areas of computational research on multiscale flow and transport processes, including the testing of upscaling theories. The input parameters are primarily univariate statistics. These include the mean and variance for characteristic lengths of sedimentary unit types at each hierarchical level, and the mean and variance of log-permeability for unit types defined at only the lowest level (smallest scale) of the hierarchy. The code has been written for both serial and parallel execution. The methodology is described in part 1 of this paper. In part 2 (Guin et al., 2010), models generated by the code are presented and evaluated.},
Doi = {10.1029/2009WR008111},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology, Groundwater transport, Computational hydrology, Sedimentation, heterogeneity, permeability, flow and transport modeling, reservoir modeling, stratal architecture, geometric simulation},
Owner = {hubere},
Timestamp = {2015.05.06},
Url = {http://dx.doi.org/10.1029/2009WR008111}
}
@Article{ramarao&al:1995,
Title = {Pilot Point Methodology for Automated Calibration of an Ensemble of conditionally Simulated Transmissivity Fields: 1. {T}heory and Computational Experiments},
Author = {RamaRao, Banda S. and LaVenue, A. Marsh and de Marsily, Gh. and Marietta, Melvin G.},
Journal = {Water Resources Research},
Year = {1995},
Month = {mar},
Number = {3},
Pages = {475--493},
Volume = {31},
Doi = {10.1029/94wr02258},
Owner = {hubere},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1029/94WR02258}
}
@Book{rasmussen&williams:2005,
Title = {Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)},
Author = {Rasmussen, Carl Edward and Williams, Christopher K. I.},
Publisher = {The MIT Press},
Year = {2005},
ISBN = {026218253X},
Owner = {huber},
Timestamp = {2015.12.02}
}
@Article{ratmann&al:2013,
Title = {{Statistical modelling of summary values leads to accurate Approximate Bayesian Computations}},
Author = {{Ratmann}, O. and {Camacho}, A. and {Meijer}, A. and {Donker}, G. },
Journal = {ArXiv e-prints},
Year = {2013},
Month = may,
Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
Adsurl = {http://adsabs.harvard.edu/abs/2013arXiv1305.4283R},
Archiveprefix = {arXiv},
Eprint = {1305.4283},
Keywords = {Statistics - Methodology},
Owner = {huber},
Primaryclass = {stat.ME},
Timestamp = {2018.07.24}
}
@Article{rauber&al:1998,
Title = {A numerical three-dimensional conditioned/unconditioned stochastic facies type model applied to a remediation well system},
Author = {Martin Rauber and Fritz Stauffer and Peter Huggenberger and Themistocles Dracos},
Journal = {Water Resources Research},
Year = {1998},
Number = {9},
Pages = {2225--2234},
Volume = {34},
Abstract = {In this study a three-dimensional stochastic facies-based aquifer model was developed. The model can be used to numerically simulate flow and solute transport in heterogeneous groundwater aquifers. The stochastic generation process can be conditioned by using available facies information in one vertical plane or two orthogonal vertical ones. In this study the information was obtained from a facies interpretation of a vertical georadar profile in a natural gravel formation in Switzerland. In the domain outside the known profile, unconditioned lenses and layers were generated at random according to statistical information on coherent sedimentary structures based on observations in adjacent gravel pits [Jussel et al., 1994a]. The method was applied to a single extraction well designed to capture an initially block-shaped contaminant plume. A total of 80 conditioned and unconditioned synthetic aquifers was generated. The flow and transport simulations were performed using a finite element flow model and a random walk transport model. The results are presented as the ensemble of integral solute mass recovery curves of single realizations. One would expect conditioning to reduce the bandwidth of the recovery curves representing the uncertainty, but the results show that the bandwidth even increased. This effect was attributed to a discrepancy in the mean volumetric fraction of the different facies types in the conditioned and the unconditioned cases. Moreover, a simulation using a homogeneous model with constant equivalent flow and transport parameters overestimated the remediation efficiency. The influence of a linear, reversible equilibrium sorption on the remediation well efficiency was taken into account by an uncorrelated random field of the retardation factor based on values from the literature. However, the impact of the variability in hydraulic conductivity clearly exceeded the effect of the variability in the retardation factor.},
Doi = {10.1029/98WR01378},
File = {original paper:papers\\1998_rauber-et-al_numerical3Dstochastic-facies-conditioned.pdf:PDF},
Groups = {transport, stochastic, à la Huggenberger, applied},
Issue = {9},
Masid = {42024390},
Owner = {hubere},
Timestamp = {2012.12.20}
}
@Article{rea&knight:1998,
Title = {Geostatistical analysis of ground-penetrating radar data: A means of describing spatial variation in the subsurface},
Author = {Rea, Jane and Knight, Rosemary},
Journal = {Water Resources Research},
Year = {1998},
Number = {3},
Pages = {329--339},
Volume = {34},
Doi = {10.1029/97WR03070},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology},
Owner = {huber},
Timestamp = {2016.07.18},
Url = {http://dx.doi.org/10.1029/97WR03070}
}
@Article{refsgaard&al:2012,
Title = {Review of strategies for handling geological uncertainty in groundwater flow and transport modeling},
Author = {Jens Christian Refsgaard and Steen Christensen and Torben O. Sonnenborg and Dorte Seifert and Anker Lajer H{\o}jberg and Lars Troldborg},
Journal = {Advances in Water Resources},
Year = {2012},
Month = {feb},
Pages = {36--50},
Volume = {36},
Doi = {10.1016/j.advwatres.2011.04.006},
Owner = {hubere},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1016/j.advwatres.2011.04.006}
}
@Article{regli&al:2002,
Title = {Interpretation of drill core and georadar data of coarse gravel deposits},
Author = {Christian Regli and Peter Huggenberger and Martin Rauber},
Journal = {Journal of Hydrology},
Year = {2002},
Number = {1-4},
Pages = {234 - 252},
Volume = {255},
Abstract = {Pollution in the shallow subsurface has led to an increasing need of understanding how to quantitatively characterize both the heterogeneity of gravel aquifers and the influence of heterogeneity on groundwater flow and solute transport. Models play an important role in decision-making processes, especially in the context of better characterizing and in forecasting the behavior of a given geological system. The objective of the present paper is the derivation of a gradual lithofacies-based interpretation of outcrop, drill core, and ground penetrating radar (GPR or georadar) data of different quality. The presented method allows a probability estimation of drill core layer descriptions and radarfacies types representing defined sedimentary structure types. The method includes a determination of [`]initial structure type probabilities' for grain-size categories and combinations thereof described in drill core layer descriptions as well as a subsequent differentiation of these structure type probabilities in an iterative process considering [`]additional information' like main constituent, quantity, fraction, and sorting of single grain-size categories, color, chemical precipitation, layer thickness, and adjacent layer. The radarfacies types are calibrated with drill cores located in the vicinity of georadar sections. The calibration process consists of the assignment of the calculated structure type probabilities from the drill core layer descriptions to the corresponding radarfacies types considering the proportion in thickness between drill core layers and georadar structures. The structure type probabilities can be given for points along boreholes and a grid with arbitrary mesh size along georadar sections. The method is applied to field examples from the Rhine/Wiese aquifer near Basel in Switzerland. The resulting structure type probabilities can be used for conditioning stochastic simulations of geological models. However, the conditioned stochastic simulation of the Rhine/Wiese aquifer is the topic of another paper. The results show the importance of a detailed sedimentological analysis of outcrops and drill cores as well as its significance on the distinction of sedimentary structure types.},
Doi = {10.1016/S0022-1694(01)00531-5},
File = {original paper:papers\\2002_regli-et-al_interpretation-of-drill-core-and-gpr-gravel-deposit.pdf:PDF;Emanuel's notes:papers\\2002_regli-et-al_interpretation-of-drill-core-and-gpr-gravel-deposit.doc:Word},
Groups = {GPR, sedimentology, à la Huggenberger, drill core, technical, measurement, Rhine},
ISSN = {0022-1694},
Keywords = {Drill core analysis, Ground penetrating radar, Aquifer stratigraphy, Site characterization, Heterogeneity, Geostatistics},
Owner = {hubere},
Timestamp = {2011.04.21}
}
@Article{regli&al:2003,
Title = {Analysis of aquifer heterogeneity within a well capture zone, comparison of model data with field experiments: A case study from the river Wiese, Switzerland},
Author = {Christian Regli and Martin Rauber and Peter Huggenberger},
Journal = {Aquatic Sciences},
Year = {2003},
Number = {2},
Pages = {111--128},
Volume = {65},
Doi = {10.1007/s00027-003-0645-x},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2017.06.23}
}
@Article{renard&al:2010,
Title = {Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors},
Author = {Renard, Benjamin and Kavetski, Dmitri and Kuczera, George and Thyer, Mark and Franks, Stewart W.},
Journal = {Water Resources Research},
Year = {2010},
Note = {W05521},
Number = {5},
Pages = {n/a--n/a},
Volume = {46},
Doi = {10.1029/2009WR008328},
ISSN = {1944-7973},
Keywords = {Uncertainty assessment, Stochastic hydrology, Model calibration, Modeling, hydrologic calibration, identifiability, well posedness, predictive uncertainty, uncertainty decomposition},
Owner = {huber},
Timestamp = {2016.01.22},
Url = {http://dx.doi.org/10.1029/2009WR008328}
}
@Article{renard&allard:2013,
Title = {Connectivity metrics for subsurface flow and transport},
Author = {Philippe Renard and Denis Allard},
Journal = {Advances in Water Resources},
Year = {2013},
Month = {jan},
Pages = {168--196},
Volume = {51},
Doi = {10.1016/j.advwatres.2011.12.001},
Owner = {hubere},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.08}
}
@Article{rice:1972,
Title = {USING CANONICAL CORRELATION FOR HYDROLOGICAL PREDICTIONS},
Author = { Raymond M. Rice },
Journal = {Hydrological Sciences Bulletin},
Year = {1972},
Number = {3},
Pages = {315-321},
Volume = {17},
Doi = {10.1080/02626667209493837},
Owner = {huber},
Publisher = {Taylor \& Francis},
Timestamp = {2017.09.24}
}
@Article{rice&al:2009,
Title = {Morphology and evolution of bars in a wandering gravel-bed river; lower Fraser river, British Columbia, Canada},
Author = {Rice, Stephen P. And Church, Michael And Wooldridge, Colin L. And Hickin, Edward J.},
Journal = {Sedimentology},
Year = {2009},
Number = {3},
Pages = {709--736},
Volume = {56},
Abstract = {A hierarchical typology for the channels and bars within aggradational wandering gravel-bed rivers is developed from an examination of a 50 km reach of lower Fraser River, British Columbia, Canada. Unit bars, built by stacking of gravelly bedload sheets, are the key dynamic element of the sediment transfer system, linking sediment transport during individual freshets to the creation, development and remoulding of compound bar platforms that have either a lateral or medial style. Primary and secondary unit bars are identified, respectively, as those that deliver sediment to compound bars from the principal channel and those that redistribute sediment across the compound bar via seasonal anabranches and smaller channels. The record of bar accretion evident in ground-penetrating radar sequences is consistent with the long-term development of bar complexes derived from historical aerial photographs. For two compound bars, inter-annual changes associated with individual sediment transport episodes are measured using detailed topographic surveys and longer-term changes are quantified using sediment budgets derived for individual bars from periodic channel surveys. Annual sediment turnover on the bars is comparable with the bed material transfer rate along the channel, indicating that relatively little bed material bypasses the bars. Bar construction and change are accomplished mainly by lateral accretion as the river has limited capacity to raise bed load onto higher surfaces. Styles of accretion and erosion and, therefore, the major bar form morphologies on Fraser River are familiar and consistent with those in gravelly braided channels but the wandering style does exhibit some distinctive features. For example, 65-year histories reveal the potential for long sequences of uninterrupted accretion in relatively stable wandering rivers that are unlikely in braided rivers.},
Doi = {10.1111/j.1365-3091.2008.00994.x},
File = {Original's paper:papers\\2009_rice-et-al_evolution-of-bars-wandering-gravel-bed-river.pdf:PDF},
ISSN = {1365-3091},
Keywords = {Alluvial stratigraphy, compound bars, radar, river history, sediment accretion, unit bars},
Owner = {hubere},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2013.05.02},
Url = {http://dx.doi.org/10.1111/j.1365-3091.2008.00994.x}
}
@Book{richtergebert:2011,
Title = {Perspectives on Projective Geometry - A Guided Tour Through Real and Complex Geometry},
Author = {Richter-Gebert, Jürgen},
Publisher = {Springer},
Year = {2011},
Address = {Berlin},
ISBN = {978-3-642-17285-4},
Owner = {hubere},
Timestamp = {2015.06.08}
}
@InCollection{ripley:2005,
Title = {Image Analysis and Stereology},
Author = {Brian David Ripley},
Booktitle = {Spatial Statistics},
Publisher = {Wiley-Blackwell},
Year = {2005},
Chapter = {9},
Pages = {191-213},
Abstract = {Summary This chapter includes the following topics: Random Set Theory Basic Quantities Stereological Sampling Size Distributions},
Doi = {10.1002/0471725218.ch9},
ISBN = {9780471725213},
Keywords = {image analysis, stereology, sampling, size distributions, unfolding},
Owner = {huber},
Timestamp = {2018.03.23},
Url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/0471725218.ch9}
}
@Article{rivest&al:2008,
Title = {Hydraulic head field estimation using kriging with an external drift: A way to consider conceptual model information },
Author = {Martine Rivest and Denis Marcotte and Philippe Pasquier},
Journal = {Journal of Hydrology },
Year = {2008},
Number = {3–4},
Pages = {349 - 361},
Volume = {361},
Abstract = {Summary This study presents an approach to hydraulic head mapping based on kriging with an external drift in which the auxiliary variables are obtained by finite-element modeling. The approach relies on the idea that numerical solutions stemming from simple conceptual models are suitable candidates for the hydraulic head field drift. Indeed, these numerical head fields obey the groundwater flow equations and incorporate information gathered during site investigations such as parameter estimates, geology and boundary conditions. The approach is tested on 2D and 3D synthetic case studies, and is then applied to a real case involving the mapping of hydraulic heads within two large earth dams. In each case, the hydraulic head maps are compared quantitatively and qualitatively to those obtained by ordinary kriging and universal kriging with first order polynomials. It is shown that kriging with an external drift can improve both the precision and realism of the mapped head fields. },
Doi = {10.1016/j.jhydrol.2008.08.006},
ISSN = {0022-1694},
Keywords = {Hydraulic head field estimation},
Owner = {huber},
Timestamp = {2016.05.16}
}
@Book{robert&casella:2004,
Title = {Monte Carlo Statistical Methods},
Author = {Christian P. Robert and George Casella},
Publisher = {Springer New York},
Year = {2004},
Doi = {10.1007/978-1-4757-4145-2},
ISBN = {978-1-4419-1939-7},
Owner = {huber},
Timestamp = {2017.09.20}
}
@Article{roberts&al:2012,
Title = {Gaussian processes for time-series modelling},
Author = {Roberts, S. and Osborne, M. and Ebden, M. and Reece, S. and Gibson, N. and Aigrain, S.},
Journal = {Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences},
Year = {2012},
Number = {1984},
Pages = {1-32},
Volume = {371},
Abstract = {In this paper, we offer a gentle introduction to Gaussian processes for time-series data analysis. The conceptual framework of Bayesian modelling for time-series data is discussed and the foundations of Bayesian non-parametric modelling presented for Gaussian processes. We discuss how domain knowledge influences design of the Gaussian process models and provide case examples to highlight the approaches.},
Doi = {10.1098/rsta.2011.0550},
Eprint = {http://rsta.royalsocietypublishing.org/content/371/1984/20110550.full.pdf},
ISSN = {1364-503X},
Owner = {huber},
Publisher = {The Royal Society},
Timestamp = {2016.01.20},
Url = {http://rsta.royalsocietypublishing.org/content/371/1984/20110550}
}
@Book{robinson&treitel:2008,
Title = {Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing},
Author = {E. A. Robinson and S. Treitel},
Publisher = {Soc. Exploration Geophys.},
Year = {2008},
Address = {Tulsa, OK, USA},
Series = {Geophysical References},
Volume = {15},
Owner = {emanuel},
Timestamp = {2015.06.01}
}
@Book{robinson&treitel:2000,
Title = {Geophysical Signal Analysis},
Author = {Enders A. Robinson and Sven Treitel},
Publisher = {Society of Exploration Geophysicists},
Year = {2000},
Month = {jan},
Doi = {10.1190/1.9781560802327},
ISBN = {9781560801047},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{robinson&treitel:1967,
Title = {Principles of digital {W}iener filtering $\ast$l},
Author = {E A. Robinson and S. Treitel},
Journal = {Geophysical Prospecting},
Year = {1967},
Month = {sep},
Number = {3},
Pages = {311--332},
Volume = {15},
Doi = {10.1111/j.1365-2478.1967.tb01793.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1111/j.1365-2478.1967.tb01793.x}
}
@Article{rodriguez&al:2014,
Title = {Characterizing Sagging and Collapse Sinkholes in a Mantled Karst by Means of Ground Penetrating Radar ({GPR})},
Author = {V. Rodriguez and F. Gutierrez and A. G. Green and D. Carbonel and H. Horstmeyer and C. Schmelzbach},
Journal = {Environmental {\&} Engineering Geoscience},
Year = {2014},
Month = {may},
Number = {2},
Pages = {109--132},
Volume = {20},
Doi = {10.2113/gseegeosci.20.2.109},
Owner = {emanuel},
Publisher = {{GeoScienceWorld}},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.2113/gseegeosci.20.2.109}
}
@Article{roth&al:1990,
Title = {Calibration of time domain reflectometry for water content measurement using a composite dielectric approach},
Author = {Roth, Kurt and Schulin, Rainer and Flühler, Hannes and Attinger, Werner},
Journal = {Water Resources Research},
Year = {1990},
Number = {10},
Pages = {2267--2273},
Volume = {26},
Doi = {10.1029/WR026i010p02267},
ISSN = {1944-7973},
Keywords = {Guided waves, Soil moisture, Instruments and techniques: modeling},
Owner = {huber},
Timestamp = {2016.09.29}
}
@Article{rubin:1972,
Title = {Regular point processes and their detection},
Author = {I. Rubin},
Journal = {IEEE Transactions on Information Theory},
Year = {1972},
Month = {Sep},
Number = {5},
Pages = {547-557},
Volume = {18},
Doi = {10.1109/TIT.1972.1054897},
ISSN = {0018-9448},
Keywords = {Estimation;Point processes;Signal detection;Differential equations;Filtering;Helium;Least squares approximation;Medical signal detection;Signal detection;Statistics;Stochastic processes;Telegraphy;Yield estimation},
Owner = {huber},
Timestamp = {2018.03.15}
}
@Book{russ&dehoff:2000,
Title = {Practical Stereology},
Author = {Russ, J.C. and Dehoff, R.T.},
Publisher = {Springer},
Year = {2000},
Address = {New York},
ISBN = {978-1-4613-5453-6},
Owner = {emanuel},
Pages = {381},
Timestamp = {2015.05.27}
}
@Article{sacchi&ulrych:2000,
Title = {Nonminimum-phase wavelet estimation using higher order statistics},
Author = {Mauricio D. Sacchi and Tadeusz J. Ulrych},
Journal = {The Leading Edge},
Year = {2000},
Month = {jan},
Number = {1},
Pages = {80--83},
Volume = {19},
Doi = {10.1190/1.1438466},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1190/1.1438466}
}
@InCollection{said&al:2015,
Title = {Texture Classification Using Rao's Distance on the Space of Covariance Matrices},
Author = {Salem Said and Lionel Bombrun and Yannick Berthoumieu},
Booktitle = {Lecture Notes in Computer Science},
Publisher = {Springer International Publishing},
Year = {2015},
Pages = {371--378},
Doi = {10.1007/978-3-319-25040-3_40},
Owner = {hubere},
Timestamp = {2017.11.17}
}
@Article{salter:1993,
Title = {Fluvial scour and incision: models for their influence on the development of realistic reservoir geometries},
Author = {T. Salter},
Journal = {Geological Society, London, Special Publications},
Year = {1993},
Month = {jan},
Number = {1},
Pages = {33--51},
Volume = {73},
Doi = {10.1144/gsl.sp.1993.073.01.04},
Owner = {emanuel},
Publisher = {Geological Society of London},
Timestamp = {2015.05.09}
}
@Article{satija&caers:2015,
Title = {Direct forecasting of subsurface flow response from non-linear dynamic data by linear least-squares in canonical functional principal component space},
Author = {Aaditya Satija and Jef Caers},
Journal = {Advances in Water Resources},
Year = {2015},
Month = {mar},
Pages = {69--81},
Volume = {77},
Doi = {10.1016/j.advwatres.2015.01.002},
Owner = {huber},
Publisher = {Elsevier {BV}},
Timestamp = {2017.09.24}
}
@Article{satija&al:2017,
Title = {Direct forecasting of reservoir performance using production data without history matching},
Author = {Addy Satija and Celine Scheidt and Lewis Li and Jef Caers},
Journal = {Computational Geosciences},
Year = {2017},
Month = {jan},
Number = {2},
Pages = {315--333},
Volume = {21},
Doi = {10.1007/s10596-017-9614-7},
Owner = {huber},
Publisher = {Springer Nature},
Timestamp = {2017.09.24}
}
@Article{scheidt&al:2016,
Title = {Quantifying natural delta variability using a multiple-point geostatistics prior uncertainty model},
Author = {C\'{e}line Scheidt and Anjali M. Fernandes and Chris Paola and Jef Caers},
Journal = {Journal of Geophysical Research: Earth Surface},
Year = {2016},
Number = {10},
Pages = {1800--1818},
Volume = {121},
Doi = {10.1002/2016jf003922},
Owner = {huber},
Publisher = {Wiley-Blackwell},
Timestamp = {2017.06.23}
}
@InCollection{scheidt&al:2018,
Title = {Bayesian Evidential Learning},
Author = {C{\'{e}}line Scheidt and Lewis Li and Jef Caers},
Booktitle = {Quantifying Uncertainty in Subsurface Systems},
Publisher = {John Wiley {\&} Sons, Inc.},
Year = {2018},
Editor = {C{\'{e}}line Scheidt and Lewis Li and Jef Caers},
Month = {jun},
Pages = {193--215},
Doi = {10.1002/9781119325888.ch7},
Owner = {huber},
Timestamp = {2018.07.25}
}
@Article{schmelzbach&huber:2015,
Title = {Efficient Deconvolution of Ground-Penetrating Radar Data},
Author = {Schmelzbach, C. and Huber, E.},
Journal = {Geoscience and Remote Sensing, IEEE Transactions on},
Year = {2015},
Number = {99},
Pages = {1--9},
Volume = {PP},
Doi = {10.1109/TGRS.2015.2419235},
ISSN = {0196-2892},
Keywords = {Convolution;Data models;Deconvolution;Estimation;Ground penetrating radar;Mathematical model;Standards;Deconvolution;ground-penetrating radar (GPR);inverse filtering;signal processing},
Owner = {emanuel},
Timestamp = {2015.06.06}
}
@Conference{schmelzbach&scherbaum:2011,
Title = {Bayesian Frequency-domain Mixed-phase Wavelet Estimation and Deconvolution},
Author = {Schmelzbach, C. and Scherbaum, F.},
Booktitle = {73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011},
Year = {2011},
Doi = {10.3997/2214-4609.20149193},
Owner = {emanuel},
Timestamp = {2015.05.28}
}
@Article{schmelzbach&al:2011,
Title = {Bayesian frequency-domain blind deconvolution of ground-penetrating radar data},
Author = {C. Schmelzbach and F. Scherbaum and J. Tronicke and P. Dietrich},
Journal = {Journal of Applied Geophysics},
Year = {2011},
Month = {dec},
Number = {4},
Pages = {615--630},
Volume = {75},
Doi = {10.1016/j.jappgeo.2011.08.010},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.14},
Url = {http://dx.doi.org/10.1016/j.jappgeo.2011.08.010}
}
@Article{schmelzbach&al:2012,
Title = {High-resolution water content estimation from surface-based ground-penetrating radar reflection data by impedance inversion},
Author = {Schmelzbach, C. and Tronicke, J. and Dietrich, P.},
Journal = {Water Resources Research},
Year = {2012},
Number = {8},
Volume = {48},
Abstract = {Mapping hydrological parameter distributions in high resolution is essential to understand and simulate groundwater flow and contaminant transport. Of particular interest is surface-based ground-penetrating radar (GPR) reflection imaging in electrically resistive sediments because of the expected close link between the subsurface water content and the dielectric permittivity, which controls GPR wave velocity and reflectivity. Conventional tools like common midpoint (CMP) velocity analysis provide physical parameter models of limited resolution only. We present a novel reflection amplitude inversion workflow for surface-based GPR data capable of resolving the subsurface dielectric permittivity and related water content distribution with markedly improved resolution. Our scheme is an adaptation of a seismic reflection impedance inversion scheme to surface-based GPR data. Key is relative-amplitude-preserving data preconditioning including GPR deconvolution, which results in traces with the source-wavelet distortions and propagation effects largely removed. The subsequent inversion for the underlying dielectric permittivity and water content structure is constrained by in situ dielectric permittivity data obtained by direct-push logging. After demonstrating the potential of our novel scheme on a realistic synthetic data set, we apply it to two 2-D 100 MHz GPR profiles acquired over a shallow sedimentary aquifer resulting in water content images of the shallow saturated zone having decimeter resolution.},
Doi = {10.1029/2012WR011955},
Groups = {GPR, processing, concepts, technical, modelling, convolution},
ISSN = {1944-7973},
Keywords = {GPR, hydrogeophysics, inversion, porosity, reflection amplitude, relative dielectric permittivity},
Owner = {hubere},
Timestamp = {2013.07.16},
Url = {http://dx.doi.org/10.1029/2012WR011955}
}
@Article{schmelzbach&al:2011b,
Title = {Three-dimensional hydrostratigraphic models from ground-penetrating radar and direct-push data},
Author = {C. Schmelzbach and J. Tronicke and P. Dietrich},
Journal = {Journal of Hydrology},
Year = {2011},
Month = {feb},
Number = {3-4},
Pages = {235--245},
Volume = {398},
Doi = {10.1016/j.jhydrol.2010.12.023},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1016/j.jhydrol.2010.12.023}
}
@Article{schoups&al:2010,
Title = {A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors},
Author = {Schoups, Gerrit and Vrugt, Jasper A.},
Journal = {Water Resources Research},
Year = {2010},
Note = {W10531},
Number = {10},
Pages = {n/a--n/a},
Volume = {46},
Doi = {10.1029/2009WR008933},
ISSN = {1944-7973},
Keywords = {Uncertainty assessment, Model calibration, Estimation and forecasting, Stochastic hydrology, Bayesian inference},
Owner = {huber},
Timestamp = {2016.01.27},
Url = {http://dx.doi.org/10.1029/2009WR008933}
}
@Article{schubert:2002,
Title = {Hydraulic aspects of riverbank filtration—field studies },
Author = {Jürgen Schubert},
Journal = {Journal of Hydrology },
Year = {2002},
Note = {Attenuation of Groundwater Pollution by Bank Filtration },
Number = {3–4},
Pages = {145 - 161},
Volume = {266},
Abstract = {The Düsseldorf waterworks have been using riverbank filtration since 1870 with bank filtration as the most important source for public water supply in this densely populated and industrialised region. There have been many threats to this supply in the last few decades—e.g. poor river water quality, heavy clogging of the riverbed, accidental pollution—which had to be overcome. First field studies in the river Rhine were carried out with a diving cabin in 1953 and 1954 to investigate riverbed clogging during high loads of organic contaminants in the river water. In 1987 a second investigation of the riverbed followed in the same area during which time the water quality of the river had improved. After the Sandoz accident in 1986 a joint research project was carried out in the Lower Rhine region to improve knowledge of flow and transport phenomena of riverbank filtration and to develop numerical models for the dynamic simulation of flow and transport. The main objective of the field studies was to gain more insight into the dynamic river–aquifer interactions and the effects of fluctuating river levels. These fluctuations are not only relevant for clogging processes and the velocities and residence times in the subsoil, but can also affect the quality of the well water. Depth-orientated sampling in the adjacent aquifer was employed. One important finding was a marked age-stratification of the bank-filtered water which balances out fluctuating concentrations of dissolved compounds in the river water. },
Doi = {10.1016/S0022-1694(02)00159-2},
ISSN = {0022-1694},
Keywords = {Riverbank filtration},
Owner = {huber},
Timestamp = {2016.02.05},
Url = {http://www.sciencedirect.com/science/article/pii/S0022169402001592}
}
@Article{schumm:1994,
Title = {Erroneous perceptions of fluvial hazards},
Author = {S.A. Schumm},
Journal = {Geomorphology},
Year = {1994},
Number = {1-4},
Pages = {129 - 138},
Volume = {10},
Abstract = {Many times human perceptions of geomorphic hazards are fallacious. Three types of misperceptions are (1) a perception of stability, which leads to the conclusion that any change is not natural, (2) a perception of instability, which leads to the conclusion that change will not cease, and (3) a perception of excessive response, which leads to the conclusion that changes will always be major. Examples, which include the Snake, Ohio, Colorado, and Nile Rivers, incised channels, and Rocky Mountain Streams demonstrate how these perceptions can lead to litigation and unnecessary engineering works.},
Doi = {10.1016/0169-555X(94)90012-4},
File = {original paper:papers\\1994_Schumm_erroneous perceptions of fluvial hazards.pdf:PDF;Emanuel's notes:papers\\1994_Schumm_erroneous perceptions of fluvial hazards.doc:Word},
Groups = {hydrology, general, concepts},
ISSN = {0169-555X},
Keywords = {concept, adjustment, hazard, instability, stability},
Owner = {hubere},
Timestamp = {2011.04.07},
Url = {http://www.sciencedirect.com/science/article/B6V93-48B09D6-K/2/32a0f66785c0e8a8b998017fbed756a8}
}
@Article{siegenthaler&huggenberger:1993,
Title = {{P}leistocene {R}hine gravel: deposits of a braided river system with dominant pool preservation},
Author = {Siegenthaler, Christoph and Huggenberger, Peter},
Journal = {Geological Society, London, Special Publications},
Year = {1993},
Number = {1},
Pages = {147--162},
Volume = {75},
Abstract = {An example of a gravelly braided river deposit is described which exhibits a rather low structural diversity as compared to other ancient and modern braided river sediments. The presented model is based on a study of the Rhine gravel, formed in front of the W?rm stage extension of the Rhine glacier (northern part of Switzerland). The observations in the Rhine gravel suggest that only processes which operate generally at a low topographic level of the braided river system generate a response in the geological record, i.e. (1) pool deposits produced at the junction of two channels (cross-bedded trough fills); (2) channel sediments which reflect thin bedload sheets deposited by moderate-magnitude flow stages with low suspension concentrations; (3) sheet flow deposits produced by extraordinary high-magnitude flow stages with high suspension concentrations, probably due to outbursts from glacial lakes.Therefore, we postulate that in the Rhine gravel system only a limited number of braided river structures have a significant preservation potential: any deposit generated at an elevated geometric level, such as flood plain deposits or bars, are successively destroyed by channel formation and are replaced by channel deposits, which in turn may be reworked by pools which operate at the lowest geometric level. It is suggested that similar preservational hierarchies could eventually exist also in other braided river deposits.},
Doi = {10.1144/GSL.SP.1993.075.01.09},
File = {original paper:papers\\1993_siegenthaler-and-huggenberger_deposits-braided.pdf:PDF},
Owner = {hubere},
Timestamp = {2013.04.25}
}
@InCollection{sisson&yanan:2011,
Title = {Likelihood-Free MCMC},
Author = {Sisson, Scott A. and Fan, Yanan},
Booktitle = {Handbooks of Modern Statistical Methods},
Publisher = {Chapman and Hall/CRC},
Year = {2011},
Editor = {Steve Brooks and Andrew Gelman and Galin Jones and Xiao-Li Meng},
Month = may,
Pages = {313--335},
Doi = {10.1201/b10905-13},
ISSN = {978-1-4200-7941-8},
Owner = {hubere},
Timestamp = {2014.05.23}
}
@Article{sklar&dietrich:2004,
Title = {A mechanistic model for river incision into bedrock by saltating bed load},
Author = {Leonard S. Sklar and William E. Dietrich},
Journal = {Water Resources Research},
Year = {2004},
Month = {jun},
Number = {6},
Pages = {n/a--n/a},
Volume = {40},
Doi = {10.1029/2003wr002496},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.09},
Url = {http://dx.doi.org/10.1029/2003WR002496}
}
@Article{skorstad&al:1999,
Title = {Well Conditioning in a Fluvial Reservoir Model},
Author = {Skorstad, A. and Hauge, R. and Holden, L.},
Journal = {Mathematical Geology},
Year = {1999},
Month = {Oct},
Number = {7},
Pages = {857--872},
Volume = {31},
Abstract = {This paper describes a method for conditioning an object model of a fluvial reservoir on facies observations. The channels are assumed parametrized at sections normal to their main channel direction. Projections of the observations on these sections generates a map suitable for drawing conditioning values. This map contains the information from every facies observation between two adjacent sections, enabling handling of any well path. Coupling between well observations is also discussed. The methodology is implemented and demonstrated in examples with complex wells.},
Day = {01},
Doi = {10.1023/A:1007576801266},
ISSN = {1573-8868},
Owner = {huber},
Timestamp = {2018.08.06}
}
@Article{slob&al:2010,
Title = {Surface and borehole ground-penetrating-radar developments},
Author = {Evert Slob and Motoyuki Sato and Gary Olhoeft},
Journal = {Geophysics},
Year = {2010},
Month = {sep},
Number = {5},
Pages = {A103--A120},
Volume = {75},
Doi = {10.1190/1.3480619},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1190/1.3480619}
}
@InCollection{sambrookSmith&al:2006,
Title = {Braided Rivers: Where have we Come in 10 Years? {P}rogress and Future Needs},
Author = {Greg Sambrook Smith and Jim Best and Charlie Bristow and Geoff Petts},
Booktitle = {Braided Rivers},
Publisher = {Wiley-Blackwell},
Year = {2006},
Editor = {Sambrook Smith,Gregory H. and Best,James L. and Bristow, Charlie S. and Petts,Geoff E.},
Month = {aug},
Pages = {1--10},
Type = {1},
Doi = {10.1002/9781444304374.ch1},
Owner = {emanuel},
Timestamp = {2015.05.05}
}
@Article{smith:1974,
Title = {Sedimentology and Bar Formation in the Upper Kicking Horse River, a Braided Outwash Stream},
Author = {Smith, N. D.},
Journal = {The Journal of Geology},
Year = {1974},
Number = {2},
Pages = {205--223.},
Volume = {82},
Owner = {emanuel},
Timestamp = {2015.05.08}
}
@Article{sophocleous:2002,
Title = {Interactions between groundwater and surface water: the state of the science},
Author = {Sophocleous, Marios},
Journal = {Hydrogeology Journal},
Year = {2002},
Number = {1},
Pages = {52--67},
Volume = {10},
Abstract = {The interactions between groundwater and surface water are complex. To understand these interactions in relation to climate, landform, geology, and biotic factors, a sound hydrogeoecological framework is needed. All these aspects are synthesized and exemplified in this overview. In addition, the mechanisms of interactions between groundwater and surface water (GW--SW) as they affect recharge--discharge processes are comprehensively outlined, and the ecological significance and the human impacts of such interactions are emphasized. Surface-water and groundwater ecosystems are viewed as linked components of a hydrologic continuum leading to related sustainability issues. This overview concludes with a discussion of research needs and challenges facing this evolving field. The biogeochemical processes within the upper few centimeters of sediments beneath nearly all surface-water bodies (hyporheic zone) have a profound effect on the chemistry of the water interchange, and here is where most of the recent research has been focusing. However, to advance conceptual and other modeling of GW--SW systems, a broader perspective of such interactions across and between surface-water bodies is needed, including multidimensional analyses, interface hydraulic characterization and spatial variability, site-to-region regionalization approaches, as well as cross-disciplinary collaborations.},
Doi = {10.1007/s10040-001-0170-8},
ISSN = {1435-0157},
Owner = {huber},
Timestamp = {2016.05.16}
}
@Article{spaliviero:2003,
Title = {Historic fluvial development of the Alpine-foreland Tagliamento River, Italy, and consequences for floodplain management},
Author = {Mathias Spaliviero},
Journal = {Geomorphology},
Year = {2003},
Number = {3--4},
Pages = {317--333},
Volume = {52},
Abstract = {The fluvial geomorphological development of the Tagliamento River and its flooding history is analysed using historical documents and maps, remote-sensed data and hydrological information. The river has been building a complex alluvial fan starting from the middle part of its alluvial course in the Venetia-Friuli alluvial plain. The riverbed is aggrading over its entire braided length. The transition from braiding to meandering near Madrisio has shifted downstream where the river width determined by the dikes becomes narrower, causing major problems. The flood hazard concentrates at those places and zones where flooding occurred during historical times. Prior to the agrarian and industrial revolution, land use was adjusted to the flooding regime of the river. Subsequent land-use pressure led to a confinement of the river by dikes to such an extent that the flood risk in the floodplain downstream of Madrisio has increased consistently, and represents nowadays a major territorial planning issue. The planned retention basins upstream of the middle Tagliamento will alleviate the problem, but not solve it in the medium and long term. Therefore, fluvial corridors in the lower-middle parts (from Pinzano to the sea) have been identified on the basis of the flooding history in relation to fluvial development during historical times. The result should be used for hydraulic simulation studies and land-use planning. },
Doi = {10.1016/S0169-555X(02)00264-7},
File = {2003_spaliviero_historic-fluvial-development.pdf:papers\\2003_spaliviero_historic-fluvial-development.pdf:PDF},
Groups = {avulsion, braided river, Evolution-history, observation, Tagliamento},
ISSN = {0169-555X},
Keywords = {Flood events},
Owner = {hubere},
Timestamp = {2014.09.10},
Url = {http://www.sciencedirect.com/science/article/pii/S0169555X02002647}
}
@Article{spane&mackley:2011,
Title = {Removal of River-Stage Fluctuations from Well Response Using Multiple Regression},
Author = {Spane, Frank A. and Mackley, Rob D.},
Journal = {Ground Water},
Year = {2011},
Number = {6},
Pages = {794--807},
Volume = {49},
Doi = {10.1111/j.1745-6584.2010.00780.x},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.05.16},
Url = {http://dx.doi.org/10.1111/j.1745-6584.2010.00780.x}
}
@Article{stauffer:2007,
Title = {Impact of highly permeable sediment units with inclined bedding on solute transport in aquifers},
Author = {Fritz Stauffer},
Journal = {Advances in Water Resources},
Year = {2007},
Month = {nov},
Number = {11},
Pages = {2194--2201},
Volume = {30},
Doi = {10.1016/j.advwatres.2007.04.008},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.12}
}
@Article{stauffer&rauber:1998,
Title = {Stochastic macrodispersion models for gravel aquifers},
Author = {F. Stauffer and M. Rauber},
Journal = {Journal of Hydraulic Research},
Year = {1998},
Month = {nov},
Number = {6},
Pages = {885--896},
Volume = {36},
Doi = {10.1080/00221689809498591},
Owner = {emanuel},
Publisher = {Informa {UK} Limited},
Timestamp = {2015.05.12}
}
@Article{steward:1998,
Title = {Stream surfaces in two-dimensional and three-dimensional divergence-free flows},
Author = {Steward, David R.},
Journal = {Water Resources Research},
Year = {1998},
Number = {5},
Pages = {1345--1350},
Volume = {34},
Doi = {10.1029/98WR00215},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology},
Owner = {huber},
Timestamp = {2016.01.27}
}
@Article{steward&al:2001,
Title = {Deformation of stream surfaces in steady axisymmetric flow},
Author = {Steward, David R. and Janković, Igor},
Journal = {Water Resources Research},
Year = {2001},
Number = {2},
Pages = {307--315},
Volume = {37},
Doi = {10.1029/2000WR900262},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology, Groundwater transport, 3210},
Owner = {huber},
Timestamp = {2016.01.27},
Url = {http://dx.doi.org/10.1029/2000WR900262}
}
@Article{storzperetz&laronne:2013,
Title = {Morphotextural characterization of dryland braided channels},
Author = {Y. Storz-Peretz and J. B. Laronne},
Journal = {Geological Society of America Bulletin},
Year = {2013},
Month = {aug},
Number = {9-10},
Pages = {1599--1617},
Volume = {125},
Doi = {10.1130/b30773.1},
Owner = {emanuel},
Publisher = {Geological Society of America},
Timestamp = {2015.05.09}
}
@InProceedings{strebelle&journel:2001,
Title = {Reservoir Modeling Using Multiple-Point Statistics},
Author = {Sebastien B. Strebelle and Andre G. Journel},
Booktitle = {{SPE} Annual Technical Conference and Exhibition},
Year = {2001},
Publisher = {Society of Petroleum Engineers},
Doi = {10.2118/71324-ms},
Owner = {emanuel},
Timestamp = {2015.05.15}
}
@Article{streich&vanderkruk:2007,
Title = {Characterizing a {GPR} antenna system by near-field electric field measurements},
Author = {Rita Streich and Jan van der Kruk},
Journal = {Geophysics},
Year = {2007},
Month = {sep},
Number = {5},
Pages = {A51--A55},
Volume = {72},
Doi = {10.1190/1.2753832},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1190/1.2753832}
}
@Article{sun&al:2008,
Title = {Characterization and modeling of spatial variability in a complex alluvial aquifer: Implications on solute transport},
Author = {Sun, Alexander Y. and Ritzi, Robert W. and Sims, Darrell W.},
Journal = {Water Resources Research},
Year = {2008},
Note = {W04402},
Number = {4},
Volume = {44},
Abstract = {Field investigations of stratified alluvial deposits suggest that they can give rise to a hierarchy of permeability modes across scales, corresponding to a hierarchy of sedimentary unit types and thus may lead to enhanced plume spread in such media. In this work, we model the sedimentary architecture of the alluvium deposits in Fortymile Wash, Nevada, using a hierarchical transition probability geostatistical approach. The alluvial aquifer comprises a segment of the groundwater flow pathway from the potential high-level nuclear waste repository at Yucca Mountain, Nevada to the downstream accessible environment and may be a natural barrier to radionuclide migration. Thus our main goal is to quantify the impact of spatial variability in the alluvium on solute transport. The alluvial aquifer is a gravel-dominated braid-belt deposit, having lower-permeability paleosols interstratified with higher-permeability gravel-bar deposits. A three-dimensional hierarchical hydrofacies model is developed through fusion of multiple geologic data types and sources. Markov chain models of transition probabilities are employed to represent complex patterns of spatial variability at each hierarchical level in a geostatistical fashion and to impose realistic constraints to such variations through conditioning on existing data. The link between the alluvium spatial variability and solute dispersion at different spatiotemporal scales is demonstrated using the stochastic-Lagrangian transport theory. We show that the longitudinal macrodispersivity can be on the order of hundreds to thousands of meters, and it may not reach its asymptotic value until after 1,000 years of traveltime.},
Doi = {10.1029/2007WR006119},
ISSN = {1944-7973},
Keywords = {Stochastic hydrology, Modeling, Uncertainty assessment, Multiscale heterogeneities, Markov-chain transition probability, alluvial sedimentary architecture, facies simulation, macrodispersion},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@InBook{surian&al:2012,
Title = {Gravel-Bed Rivers: Processes, Tools, Environments},
Author = {Surian, Nicola},
Chapter = {Field Observations of Gravel-Bed River Morphodynamics: Perspectives and Critical Issues for Testing of Models},
Editor = {Church, Michael and Biron, Pascale M. and Roy, Andr? G.},
Pages = {90--95},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2012},
Note = {Gravel-Bed Rivers: Processes, Tools, Environments presents a definitive review of current knowledge of gravel-bed rivers, derived from the 7th International Gravel-bed Rivers Workshop, the 5-yearly meeting of the world's leading authorities in the field.},
Abstract = {The discussion deals with field observations of river morphodynamics. In the first section it is discussed how new remote sensing techniques are makingit more feasible to carry out field studies in comparison with some years ago. The following section deals with channel stability. Identification of stability conditions (i.e., equilibrium or disequilibrium) is crucial to compare field observations and models appropriately, specifically for those models that assume equilibrium conditions. The last section concerns measurement of active channel width, which has been recognized recently as a critical parameter for improving the performance of analytical models and for understanding morphodynamics and sediment transport in braided rivers.},
Booktitle = {Gravel-Bed Rivers},
Doi = {10.1002/9781119952497.ch7},
ISBN = {9781119952497},
Keywords = {Remote sensing, channel stability, channel adjustments, active channel width, formative discharges},
Owner = {hubere},
Timestamp = {2013.04.11},
Url = {http://dx.doi.org/10.1002/9781119952497.ch7}
}
@Article{surian&al:2015,
Title = {Vegetation turnover in a braided river: frequency and effectiveness of floods of different magnitude},
Author = {Nicola Surian and Matteo Barban and Luca Ziliani and Giovanni Monegato and Walter Bertoldi and Francesco Comiti},
Journal = {Earth Surface Processes and Landforms},
Year = {2015},
Month = {oct},
Number = {4},
Pages = {542--558},
Volume = {40},
Doi = {10.1002/esp.3660},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08},
Url = {http://dx.doi.org/10.1002/esp.3660}
}
@Article{surian&al:2009,
Title = {Channel adjustments and alteration of sediment fluxes in gravel-bed rivers of North-Eastern Italy: potentials and limitations for channel recovery},
Author = {Surian, Nicola and Ziliani, Luca and Comiti, Francesco and Lenzi, Mario A. and Mao, Luca},
Journal = {River Research and Applications},
Year = {2009},
Number = {5},
Pages = {551--567},
Volume = {25},
Abstract = {The aim of this paper is to explore possibilities and limitations of restoring physical processes in five gravel-bed rivers (Brenta, Piave, Cellina, Tagliamento and Torre Rivers) in north-eastern Italy. The selected rivers were analysed through a range of techniques, specifically analysis of historical maps and aerial photographs with geographical information systems (GIS), comparison of topographic surveys and geomorphological surveys. After illustrating channel adjustments and sediment fluxes, we discuss how the understanding of physical processes can be used for channel restoration.The studied river channels have undergone notable adjustments in the last 100 years, specifically narrowing by up to 76%, incision by up to 8.5?m, and changes in channel configuration. Alteration of sediment fluxes, mainly due to in-channel mining, has been the main factor driving such channel adjustments. Evolutionary trends show that channel recovery is on-going in several of the selected reaches, since widening and aggradation have occurred over the last 15?20 years. This channel recovery has been possible because sediment mining has significantly decreased or ceased along the study reaches. However, several constraints still exist on sediment fluxes (e.g. dams).Four categories of river channel were defined, taking into account the recent evolution of the studied channels (from ?A?, high channel recovery, to ?D?, no channel recovery). The impact of different sediment management strategies on channel dynamics over the next 40?50 years was then analysed. Without any intervention, channel recovery would only be possible in those reaches that have a relatively high degree of connectivity with upstream sediment sources or tributaries, while further incision and narrowing would be expected in those reaches where connectivity is low. A more substantial channel recovery could be obtained through interventions at reach (e.g. removal of bank protection) and basin (e.g. sediment transfer downstream of dams) scales. Notwithstanding such actions, it is likely that channels will not recover in the next few decades to the morphology they exhibited in the first half of the 20th century, when bed-load yield and connectivity were higher. Copyright ? 2009 John Wiley & Sons, Ltd.},
Doi = {10.1002/rra.1231},
File = {original's paper:papers\\2009_surian-et-al_channel-adujstements-and-alteration-of-sediment-fluxes.pdf:PDF},
Groups = {Tagliamento, Piave River, Brenta River, Cellina River, Torre River},
ISSN = {1535-1467},
Keywords = {channel changes, sediment mining, dams, sediment management, river restoration},
Owner = {emanuel},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2013.03.04},
Url = {http://dx.doi.org/10.1002/rra.1231}
}
@Article{syversveen&al:2011,
Title = {A Stochastic Object Model Conditioned to High-Quality Seismic Data},
Author = {Syversveen, Anne Randi and Hauge, Ragnar and Tollefsrud, Jan Inge and L{\ae}greid, Ulf and MacDonald, Alister},
Journal = {Mathematical Geosciences},
Year = {2011},
Month = {Oct},
Number = {7},
Pages = {763},
Volume = {43},
Abstract = {We present an approach for modeling facies bodies in which a highly constrained stochastic object model is used to integrate detailed seismic interpretation of the reservoir's sedimentological architecture directly in a three-dimensional reservoir model. The approach fills the gap between the use of seismic data in a true deterministic sense, in which the facies body top and base are resolved and mapped directly, and stochastic methods in which the relationship between seismic attributes and facies is defined by conditional probabilities. The lateral geometry of the facies bodies is controlled by seismic interpretations on horizon slices or by direct body extraction, whereas facies body thickness and cross-sectional shape are defined by a mixture of seismic data, well data, and user defined object shapes. The stochastic terms in the model are used to incorporate local geometric variability, which is used to increase the geological realism of the facies bodies and allow for correct, flexible well conditioning. The result is a set of three-dimensional facies bodies that are constrained to the seismic interpretations and well data. Each body is defined as a parametric object that includes information such as location of the body axis, depositional direction, axis-to-margin normals, and external body geometry. The parametric information is useful for defining geologically realistic intrabody petrophysical trends and for controlling connectivity between stacked facies bodies.},
Day = {08},
Doi = {10.1007/s11004-011-9355-4},
ISSN = {1874-8953},
Owner = {huber},
Timestamp = {2018.08.06}
}
@Article{tang&al:2015,
Title = {Characterisation of river–aquifer exchange fluxes: The role of spatial patterns of riverbed hydraulic conductivities },
Author = {Q. Tang and W. Kurtz and P. Brunner and H. Vereecken and H.-J. Hendricks Franssen},
Journal = {Journal of Hydrology },
Year = {2015},
Note = {Groundwater flow and transport in aquifers: Insights from modeling and characterization at the field scale },
Pages = {111 - 123},
Volume = {531, Part 1},
Abstract = {Summary Interactions between surface water and groundwater play an essential role in hydrology, hydrogeology, ecology, and water resources management. A proper characterisation of riverbed structures might be important for estimating river–aquifer exchange fluxes. The ensemble Kalman filter (EnKF) is commonly used in subsurface flow and transport modelling for estimating states and parameters. However, EnKF only performs optimally for MultiGaussian distributed parameter fields, but the spatial distribution of streambed hydraulic conductivities often shows non-MultiGaussian patterns, which are related to flow velocity dependent sedimentation and erosion processes. In this synthetic study, we assumed a riverbed with non-MultiGaussian channel-distributed hydraulic parameters as a virtual reference. The synthetic study was carried out for a 3-D river–aquifer model with a river in hydraulic connection to a homogeneous aquifer. Next, in a series of data assimilation experiments three different groups of scenarios were studied. In the first and second group of scenarios, stochastic realisations of non-MultiGaussian distributed riverbeds were inversely conditioned to state information, using EnKF and the normal score ensemble Kalman filter (NS-EnKF). The riverbed hydraulic conductivity was oriented in the form of channels (first group of scenarios) or, with the same bimodal histogram, without channelling (second group of scenarios). In the third group of scenarios, the stochastic realisations of riverbeds have MultiGaussian distributed hydraulic parameters and are conditioned to state information with EnKF. It was found that the best results were achieved for channel-distributed non-MultiGaussian stochastic realisations and with parameter updating. However, differences between the simulations were small and non-MultiGaussian riverbed properties seem to be of less importance for subsurface flow than non-MultiGaussian aquifer properties. In addition, it was concluded that both EnKF and NS-EnKF improve the characterisation of non-MultiGaussian riverbed properties, hydraulic heads and exchange fluxes by piezometric head assimilation, and only NS-EnKF could preserve the initial distribution of riverbed hydraulic conductivities. },
Doi = {10.1016/j.jhydrol.2015.08.019},
ISSN = {0022-1694},
Keywords = {Data assimilation},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Book{tarantola:2005,
Title = {Inverse Problem Theory and Methods for Model Parameter Estimation},
Author = {Albert Tarantola},
Publisher = {Society for Industrial {\&} Applied Mathematics ({SIAM})},
Year = {2005},
Month = {jan},
Doi = {10.1137/1.9780898717921},
ISBN = {978-0-89871-572-9},
Owner = {huber},
Timestamp = {2016.05.06}
}
@Book{tarantola:1987,
Title = {Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation},
Author = {Tarantola, A.},
Publisher = {Elsevier},
Year = {1987},
Address = {New York},
ISBN = {0 444 427651},
Owner = {emanuel},
Pages = {630 pp.},
Timestamp = {2015.05.14}
}
@Article{tanrantola&valette:1982,
Title = {Inverse problems = quest for information},
Author = {Tarantola, A. and Valette, B.},
Journal = {Journal of Geophysics},
Year = {1982},
Number = {3},
Pages = {159--170},
Volume = {50},
Owner = {emanuel},
Timestamp = {2015.05.14}
}
@InProceedings{teutsch&al:1998,
Title = {Numerical modelling of reactive transport using aquifer analogue data},
Author = {Teutsch, G. and Klingbeil, R. and Kleineidam, S.},
Booktitle = {Groundwater Quality: Remediation and Protection},
Year = {1998},
Editor = {Herbert, Mike and Kova, Karel},
Month = {September},
Number = {250},
Organization = {International Association of Hydrological Sciences},
Pages = {381-390},
Publisher = {IAHS Press},
Series = {IAHS Series of Proceedings and Reports},
ISBN = {1-901502-55-4},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{thoma&al:2014,
Title = {Estimating Unsaturated Hydraulic Functions for Coarse Sediment from a Field-Scale Infiltration Experiment},
Author = {Thoma, Michael J. and Barrash, Warren and Cardiff, Michael and Bradford, John and Mead, Jodi},
Journal = {Vadose Zone Journal},
Year = {2014},
Number = {3},
Pages = {1--17},
Volume = {13},
Doi = {10.2136/vzj2013.05.0096},
Owner = {huber},
Timestamp = {2016.10.21}
}
@Article{thore&al:2002,
Title = {Structural uncertainties: Determination, management, and applications},
Author = {Thore, Pierre and Shtuka, Arben and Lecour, Magali and Ait-Ettajer, Taoufik and Cognot, Richard},
Journal = {Geophysics},
Year = {2002},
Number = {3},
Pages = {840-852},
Volume = {67},
Abstract = {Structural uncertainties have a direct impact in exploration, development, and production, and in drilling decisions. In this paper, we present an approach for determining and handling structural uncertainties. We first examine the magnitude of the different sources of uncertainty, and explain how to estimate their direction and correlation length. This task requires a huge geophysical input. This information is then used in a general scheme to generate multiple realizations of the structural model consistent with structural uncertainties. The technique is based on geostatistical concepts. Finally, we illustrate the application of this scheme in examples relevant for exploration, development and production, and drilling.The structural model is described as a set of horizons represented by triangulated surfaces cut by faults. The relationships between horizons and faults are expressed as a set of constraints. On a horizon, each source of uncertainty (typically migration, picking, and time-to-depth conversion) is described as a field of vectors with its magnitude, direction, and correlation length expressed in terms of a variogram. A special fault object has been developed to aid in discribing the faults as probabilistic objects in a very simple way. Once all sources of uncertainty have been quantif ied many equiprobable realizations of the structural model are generated. For this, we use a special implementation of the probability field technique adapted to triangulated surfaces that handles correlation between horizons. At each realization, faults and horizons are moved in three dimensions according to uncertainties. Links between faults and horizons are maintained. Such complex 3-D modeling can only be achieved in the frame of a geomodeler. Finally, we propose three types of applications requiring structural uncertainty determination:rock volume distribution, well trajectory optimization and risk analysis, and the use of structural uncertainty as a parameter for history matching.Our scheme generates many equiprobable realizations of the structural model provided that each source of uncertainty has been described in terms of magnitude direction and correlation length. These realizations may then be used to quantify risk in exploration development and drilling.},
Doi = {10.1190/1.1484528},
Eprint = {http://geophysics.geoscienceworld.org/content/67/3/840.full.pdf+html},
Owner = {emanuel},
Timestamp = {2013.03.11},
Url = {http://geophysics.geoscienceworld.org/content/67/3/840.abstract}
}
@Article{tillard&dubois:1995,
Title = {Analysis of {GPR} data: wave-propagation velocity determination},
Author = {S Tillard},
Journal = {Journal of Applied Geophysics},
Year = {1995},
Month = {jan},
Number = {1--3},
Pages = {77--91},
Volume = {33},
Doi = {10.1016/0926-9851(94)00023-h},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.14}
}
@InCollection{tipper:2008,
Title = {Models that Talk Back},
Author = {Tipper, John C.},
Booktitle = {Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction},
Publisher = {Wiley-Blackwell},
Year = {2008},
Chapter = {13},
Editor = {P. de Boer and G. Postma and K. van der Zwan and P. Burgess and P. Kukla},
Pages = {287--306},
Abstract = {Modelling is a critically important part of all scientific work. Its goals are (1) to gain understanding of the systems being studied, and (2) to predict how those systems are likely to behave under given input conditions. Two substantially distinct styles of modelling can be identified, based on the degree to which the model and its parent system are behaviourally equivalent; a model and its parent system are defined as being behaviourally equivalent to each other if they can readily be trusted to behave in a satisfactorily similar way, for the very great majority of possible input states. The first modelling style involves the use of models that cannot be trusted to be behaviourally equivalent to their parent systems; these models typically are ones that rely on numerous auxiliary hypotheses and unconstrained parameters. Though they often give superficially impressive results, these models are unlikely ever to be capable of saying much that is significant about the systems concerned. The second modelling style is feasible only for models that can reasonably be believed to be close to being behaviourally equivalent to their parent systems. These models may often seem oversimplified, yet they are capable of giving considerable insight into the nature of their parent systems; they justifiably can be referred to as ?models that talk back?. Published examples of the two styles of modelling are analysed in this paper. The first style is illustrated by an exercise in landscape evolution modelling. The model used gave apparently realistic predictions of present-day landscapes and drainage patterns, ones that appeared to lend support to a previously published hypothesis about the evolution of a highland area. However, the model gave these predictions under demonstrably unrealistic conditions. The example of the second style of modelling concerns the patterns of cyclicity found in stratigraphic successions. The model used predicted that cyclic successions generally should be considerably more complete than they usually are reported to be. The inherent simplicity of this model meant that this ?too-complete? dilemma had to be confronted; it could not simply be explained away. The confrontation of the dilemma then led directly to the identification of several new hypotheses worthy of investigation.},
Comment = {GOOD},
Doi = {10.1002/9781444303131.ch13},
File = {original paper:papers\\2008_tipper_models-that-talk-back.pdf:PDF;Emanuel's notes:papers\\2008_tipper_models-that-talk-back.doc:Word},
Groups = {sedimentology, modelling, landscape modelling, epistemology},
ISBN = {9781444303131},
Keywords = {Model, sedimentation, landscape evolution, stratigraphy, cycle},
Owner = {hubere},
Timestamp = {2013.04.23},
Url = {http://dx.doi.org/10.1002/9781444303131.ch13}
}
@InCollection{tockner&al:2006,
Title = {Ecology of Braided Rivers},
Author = {Tockner, Klement and Paetzold, Achim and Karaus, Ute and Claret, Cécile and Zettel, Jürg},
Booktitle = {Braided Rivers},
Publisher = {Blackwell Publishing Ltd.},
Year = {2009},
Editor = {Sambrook Smith,Gregory H. and Best,James L. and Bristow, Charlie S. and Petts,Geoff E.},
Pages = {339--359},
Doi = {10.1002/9781444304374.ch17},
ISBN = {9781444304374},
Keywords = {braided river ecology, braided gravel-bed rivers - widespread in temperate piedmont and mountain-valley areas, braided river mouth of Kurobe River, environmental template of braided rivers, braided river experience - rapid turnover rates of abiotic and biotic components, thermal heterogeneity regulating ecosystem processes, surface and subsurface exchange processes, life in braided rivers, trophic linkages across boundaries},
Owner = {emanuel},
Timestamp = {2015.05.05},
Url = {http://dx.doi.org/10.1002/9781444304374.ch17}
}
@Article{todd:1989,
Title = {Stream-driven, high-density gravelly traction carpets: possible deposits in the Trabeg Conglomerate Formation, SW Ireland and some theoretical considerations of their origin},
Author = {Todd, Simon P.},
Journal = {Sedimentology},
Year = {1989},
Number = {4},
Pages = {513--530},
Volume = {36},
Abstract = {ABSTRACT Within high-density flood flows a prominent mechanism of gravel transport and deposition is by stream-driven, high-density traction carpet (with a rheology similar to grain flow). These gravel carpets are envisaged to form the basal portion of a bipartite high-density flood flow, decoupled from an overlying sand- and silt-laden turbulent flow. Several examples already documented in the literature are reviewed and an additional case from the Lower Old Red Sandstone of southwest Ireland is presented. Two mechanisms of traction carpet initiation are discussed: by rapid entrainment of gravel into suspension on rising stage, followed by settling into the gravel traction carpet at peak and falling stage; and by overconcentration of a ?normal?, low-density bedload. Gravel entrainment, suspension and traction carpet development are significantly easier if the flood water already carries a high concentration of sand and silt in suspension. Theoretical consideration further shows that gravelly traction carpets can be maintained in channels of relatively low gradient by the shear stress exerted by the high-density, sand-bearing turbulent flood flow above. This tangential shear stress is converted to dispersive pressure, which aids buoyancy and quasi-static grain-to-grain contacts in the support of the clasts within the gravel carpet. The carpet is thought to have a quasi-plastic rheology but behave much like a viscous fluid at high shear rates. Stream-driven gravelly traction carpets are expected to produce sheet-like units of clast- to matrix-supported conglomerate, characterized by a parallel or an a(p)a(i) clast fabric. These units may be ungraded, normally or inversely graded, depending on the rate of shear, the viscosity of the flow and the celerity of deposition.},
Doi = {10.1111/j.1365-3091.1989.tb02083.x},
File = {Original's paper:papers\\1989_todd_high-density-gravelly-traction-carpets.pdf:PDF;Emanuel's notes on paper!:notes\\notices-papers\\Todd_1989_gravelly-traction-carpets.doc:Word},
Groups = {rheology},
ISSN = {1365-3091},
Keywords = {rheology, sediment, shear, gravel sheet},
Owner = {hubere},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2011.04.07},
Url = {http://dx.doi.org/10.1111/j.1365-3091.1989.tb02083.x}
}
@Article{treitel&robinson:1966,
Title = {The Design of High-Resolution Digital Filters},
Author = {Treitel, S. and Robinson, E.A.},
Journal = {Geoscience Electronics, IEEE Transactions on},
Year = {1966},
Month = {June},
Number = {1},
Pages = {25-38},
Volume = {4},
Abstract = {Seismic recordings made with standard filters often afford insufficient resolution for overlapping reflected events. In this treatment we apply least squares Wiener theory to the design of high-resolution digital time-domain filters. Under the assumption that estimates of the seismic pulse shape are available, we present techniques that allow one to calculate digital filters which transform this pulse into one which is sufficiently sharp so that it can be distinguished against a background of noise. The two design criteria governing filter performance are filter lag and filter memory function duration. The performance of a Wiener filter is numerically measurable by a quantity which we call the filter performance parameter P, where 0 ¿ P ¿ 1. The quality of the filter output improves as P approaches unity. We thus seek that combination of lag and memory function duration that maximizes P. This goal can be accomplished by the study of a two-dimensional display of P vs. lag and memory function duration. The proposed design techniques are illustrated by means of numerical examples.},
Doi = {10.1109/TGE.1966.271203},
File = {1966_treitel-and-robinson_high-res-digital-filter:papers\\deconvolution\\1966_treitel-and-robinson_high-res-digital-filter+++.pdf:PDF},
ISSN = {0018-9413},
Keywords = {Background noise;Digital filters;Filtering theory;Least squares methods;Noise shaping;Pulse shaping methods;Shape;Time domain analysis;Two dimensional displays;Wiener filter},
Owner = {hubere},
Timestamp = {2014.11.14}
}
@Article{tronicke&allroggen:2015,
Title = {Toward automated delineation of ground-penetrating radar facies in clastic sediments: An example from stratified glaciofluvial deposits},
Author = {Tronicke, Jens and Allroggen, Niklas},
Journal = {Geophysics},
Year = {2015},
Number = {4},
Pages = {A89--A94},
Volume = {80},
Abstract = {Ground-penetrating radar (GPR) is an established geophysical method to explore near-surface sedimentary environments. Interpreting GPR images is largely based on manual procedures following concepts known as GPR facies analysis. We have developed a novel strategy to distinguish GPR facies in a largely automated and more objective manner. First, we calculate 13 textural attributes to quantify GPR reflection characteristics. Then, this database is reduced using principal component analysis. Finally, we image the dominating principal components using composite imaging and classify them using standard clustering methods. The potential of this workflow is evaluated using a 2D GPR field example collected across stratified glaciofluvial deposits. Our results demonstrate that the derived facies images are well correlated with the composition and the porosity of the sediments as known from independent borehole logs. Our analysis strategy eases and improves the interpretability of GPR data and will help in a variety of geologic and hydrological problems.},
Doi = {10.1190/geo2015-0188.1},
Eprint = {http://geophysics.geoscienceworld.org/content/80/4/A89.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.18},
Url = {http://geophysics.geoscienceworld.org/content/80/4/A89}
}
@Article{tscheschel&stoyan:2006,
Title = {Statistical reconstruction of random point patterns},
Author = {A. Tscheschel and D. Stoyan},
Journal = {Computational Statistics {\&} Data Analysis},
Year = {2006},
Month = {nov},
Number = {2},
Pages = {859--871},
Volume = {51},
Doi = {10.1016/j.csda.2005.09.007},
Owner = {huber},
Publisher = {Elsevier {BV}},
Timestamp = {2018.03.28}
}
@Article{ursin&porsani:2000,
Title = {Estimation of an optimal mixed-phase inverse filter},
Author = {Bjorn Ursin and Milton J. Porsani},
Journal = {Geophysical Prospecting},
Year = {2000},
Month = {jul},
Number = {4},
Pages = {663--676},
Volume = {48},
Doi = {10.1046/j.1365-2478.2000.00206.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28},
Url = {http://dx.doi.org/10.1046/j.1365-2478.2000.00206.x}
}
@Article{vandernat&al:2003,
Title = {Habitat change in braided flood plains (Tagliamento, NE-Italy)},
Author = {Van Der Nat, Dimitry and Tockner, Klement and Edwards, Peter J. and Ward, J.V. and Gurnell, Angela M.},
Journal = {Freshwater Biology},
Year = {2003},
Number = {10},
Pages = {1799--1812},
Volume = {48},
Abstract = {1. Relative changes and age distribution of habitats were investigated in the active channel of a bar-braided and an island-braided reach of the Tagliamento River (NE-Italy). Between September 1999 and January 2002, six habitat types were delineated with a differential Global Positioning System on five dates following floods of different magnitude. Overlay maps were employed to calculate age and relative change of habitats. We established exponential decay rates (k-values) for islands and major aquatic habitats.2. Relative changes of all aquatic habitats combined were up to 82% between survey dates in the bar-braided flood plain, with a cumulative rate of 85% over the 2.5-year period. Relative habitat changes in the island-braided flood plain were lower with a cumulative change of almost 60% during the study period. In the bar-braided flood plain significant exponential decay relationships were established for channels, alluvial channels, backwaters, and ponds.3. Half-lives were particularly short for backwaters and ponds. In the island-braided reach, significant relationships existed for channels and alluvial channels. The half-lives of channels and alluvial channels increased with the presence of vegetated islands. Relative habitat composition within the active corridor remained almost constant, supporting the applicability of the shifting mosaic steady state model to braided floodplain ecosystems.4. Our results indicate that under natural conditions aquatic floodplain habitats can be highly dynamic over short time-scales. Even small water level fluctuations (‘flow pulses’) can lead to major habitat changes with important consequences for the fauna and flora.},
Doi = {10.1046/j.1365-2427.2003.01126.x},
ISSN = {1365-2427},
Keywords = {active channel, braided rivers, flood pulse, flow pulse, GIS, riverine habitats},
Owner = {emanuel},
Publisher = {Blackwell Science Ltd},
Timestamp = {2015.05.08}
}
@InBook{vaseghi:2009,
Title = {Bayesian Inference},
Author = {Vaseghi, Saeed V.},
Pages = {107--146},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2009},
Abstract = {This chapter contains sections titled: * Bayesian Estimation Theory: Basic Definitions * Bayesian Estimation * Expectation-Maximisation (EM) Method * Cramer?Rao Bound on the Minimum Estimator Variance * Design of Gaussian Mixture Models (GMMs) * Bayesian Classification * Modelling the Space of a Random Process * Summary * Bibliography},
Booktitle = {Advanced Digital Signal Processing and Noise Reduction},
Doi = {10.1002/9780470740156.ch4},
ISBN = {9780470740156},
Keywords = {Bayesian inference and human reasoning process, estimate-maximise (EM) method, estimation theory and ?the best? estimate determination, Bayesian risk, Bayesian estimation, Expectation-Maximisation (EM) method, Cramer?Rao Bound on minimum estimator variance, Cramer?Rao inequality, Gaussian Mixture Models (GMMs) design},
Owner = {emanuel},
Timestamp = {2013.03.09}
}
@Article{vienken&al:2017,
Title = {How to chase a tracer {\textendash} combining conventional salt tracer testing and direct push electrical conductivity profiling for enhanced aquifer characterization},
Author = {Thomas Vienken and Emanuel Huber and Manuel Kreck and Peter Huggenberger and Peter Dietrich},
Journal = {Advances in Water Resources},
Year = {2017},
Pages = {60--66},
Volume = {99},
Doi = {10.1016/j.advwatres.2016.11.010},
Owner = {huber},
Publisher = {Elsevier {BV}},
Timestamp = {2017.06.23}
}
@Article{vienken&al:2012,
Title = {Use of CPT and other direct push methods for (hydro-) stratigraphic aquifer characterization -- a field study},
Author = {Vienken, Thomas and Leven, Carsten and Dietrich, Peter},
Journal = {Canadian Geotechnical Journal},
Year = {2012},
Number = {2},
Pages = {197--206},
Volume = {49},
Doi = {10.1139/t11-094},
Owner = {huber},
Timestamp = {2016.07.22}
}
@Article{virieux&operto:2009,
Title = {An overview of full-waveform inversion in exploration geophysics},
Author = {J. Virieux and S. Operto},
Journal = {Geophysics},
Year = {2009},
Month = {nov},
Number = {6},
Pages = {WCC1--WCC26},
Volume = {74},
Doi = {10.1190/1.3238367},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2018.07.06}
}
@Article{voss:2011,
Title = {Editor's message: Groundwater modeling fantasies {\textemdash}part 1, adrift in the details},
Author = {Clifford I. Voss},
Journal = {Hydrogeology Journal},
Year = {2011},
Month = {oct},
Number = {7},
Pages = {1281--1284},
Volume = {19},
Doi = {10.1007/s10040-011-0789-z},
Owner = {emanuel},
Publisher = {Springer Science + Business Media},
Timestamp = {2015.06.01}
}
@Article{vrugt:2016,
Title = {Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation},
Author = {Jasper A. Vrugt},
Journal = {Environmental Modelling \& Software },
Year = {2016},
Pages = {273--316},
Volume = {75},
Doi = {10.1016/j.envsoft.2015.08.013},
ISSN = {1364-8152},
Owner = {huber},
Timestamp = {2017.02.09}
}
@Article{walden&hosken:1986,
Title = {The nature of the non-{G}aussianity of primary reflection coefficients and its significance for deconvolution{$\ast$}},
Author = {A. T. Walden and J. W. J. Hosken},
Journal = {Geophysical Prospecting},
Year = {1986},
Month = {nov},
Number = {7},
Pages = {1038--1066},
Volume = {34},
Doi = {10.1111/j.1365-2478.1986.tb00512.x},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.28}
}
@Article{wang&al:2018,
Title = {Conditioning 3D object-based models to dense well data},
Author = {Yimin C. Wang and Michael J. Pyrcz and Octavian Catuneanu and Jeff B. Boisvert},
Journal = {Computers \& Geosciences},
Year = {2018},
Pages = {1 - 11},
Volume = {115},
Doi = {10.1016/j.cageo.2018.02.006},
ISSN = {0098-3004},
Owner = {huber},
Timestamp = {2018.08.06},
Url = {http://www.sciencedirect.com/science/article/pii/S0098300417306568}
}
@Article{ward&al:1999,
Title = {A reference river system for the {A}lps: the '{F}iume {T}agliamento'},
Author = {Ward, J.V. and Tockner, K. and Edwards, P.J. and Kollmann, J. and Bretschko, G. and Gurnell, A.M. and Petts, G.E. and Rossaro, B.},
Journal = {Regulated Rivers: Research \& Management},
Year = {1999},
Number = {1--3},
Pages = {63--75},
Volume = {15},
Abstract = {A major deterrent to a full understanding of the ecological ramifications of river regulation at the catchment scale is a lack of fundamental knowledge of structural and functional attributes of morphologically intact river systems. For example, both the River Continuum and the Serial Discontinuity Concepts, in their original formulations, had the implicit assumption of a stable, single-thread channel from headwaters to the sea. The Fiume Tagliamento traverses a course of 172 km from its headwaters in the Italian Alps to the Adriatic Sea. No high dams impede the river's passage as it flows through the characteristic sequence of constrained, braided, and meandering reaches. The Tagliamento, the only large morphologically intact Alpine river remaining in Europe, provides insight into the natural dynamics and complexity that must have characterized Alpine rivers in the pristine state. The Tagliamento has a flashy pluvio-nival regime (mean Q=109 m3 s-1, with flood flows up to 4000 m3 s-1). Thousands of newly-uprooted trees were strewn across the active bed and floodplain along the river's course following a major flood in the autumn of 1996. The active floodplain is up to 2 km wide and contains a riparian vegetation mosaic encompassing a range of successional stages. Up to 11 individual channels per cross section occur in the braided middle reaches. Islands are a prominent feature of the riverine landscape and island dynamics are postulated to play a key role in determining pattern and process across scales. Future studies will examine the roles of island dynamics and large woody debris in structuring biodiversity patterns of aquatic biota and successional trajectories of riparian vegetation. The high levels of spatiotemporal heterogeneity exhibited by the Fiume Tagliamento provide a valuable perspective for regulated river ecologists and those engaged in conservation and restoration. Copyright ? 1999 John Wiley & Sons, Ltd.},
Doi = {10.1002/(SICI)1099-1646(199901/06)15:1/3<63::AID-RRR538>3.0.CO;2-F},
File = {original's paper:papers\\1999_ward-et-al_tagliamento-a-reference.pdf:PDF},
Groups = {floodplain, vegetation, general, case study, Tagliamento},
ISSN = {1099-1646},
Keywords = {Alpine rivers, braided rivers, European rivers, Fiume Tagliamento, floodplain vegetation, islands, river corridors, riverine landscapes},
Owner = {emanuel},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {2013.04.15}
}
@Article{warren&giannopoulos:2011,
Title = {Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi's optimization method},
Author = {Craig Warren and Antonios Giannopoulos},
Journal = {Geophysiscs},
Year = {2011},
Month = {mar},
Number = {2},
Pages = {G37--G47},
Volume = {76},
Doi = {10.1190/1.3548506},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{webb:1994,
Title = {Simulating the three-Dimensional Distribution of Sediment Units in Braided-Stream Deposits},
Author = {Webb, E.K.},
Journal = {Journal of Sedimentary Research},
Year = {1994},
Month = {May},
Number = {2},
Pages = {219--231},
Volume = {64B},
Abstract = {Full hydrogeological characterization of a sediment body must include a detailed description of its three-dimensional internal geometry. Where either direct methods or remote sensing are inadequate, computer simulations can be used to approximate the internal structure. A computer code, BCS-3D, was developed that simulates the three-dimensional internal geometry of sediment units for braided-stream deposits. Code development was based on the assumption that (1) a certain part of the surface (geomorphological) system is captured and preserved in the sedimentological record, and (2) characteristics of sediment units are a function of the localized flow energy as expressed by the Froude number. BCS-3D uses a random-walk approach to describe the formation of braided-channel networks. The concept of hydraulic geometry is incorporated to translate a two-dimensional topological network to a three-dimensional topographic surface. A series of these surfaces is stacked vertically with some offset, to produce a three-dimensional description of the internal architecture. Individual elements in the architecture are associated with specific sediment units based on a description of flow energy in the form of the Froude number. No comprehensive data set is available to validate this approach fully. However, the model was compared with and adequately matched a composite set of measurements from two studies in systems with similar physical characteristics, the Ohau River in New Zealand and the Squamish River in British Columbia, Canada.},
Owner = {hubere},
Timestamp = {2015.05.06}
}
@Article{webb:1995,
Title = {Simulation of Braided Channel Topology and Topography},
Author = {Webb, Erik K.},
Journal = {Water Resources Research},
Year = {1995},
Number = {10},
Pages = {2603--2611},
Volume = {31},
Doi = {10.1029/95WR01952},
Keywords = {Geomorphology: general, Monitoring networks, Stochastic hydrology},
Owner = {huber},
Timestamp = {2017.06.23}
}
@Article{webb&anderson:1996,
Title = {Simulation of Preferential Flow in Three-Dimensional, Heterogeneous Conductivity Fields with Realistic Internal Architecture},
Author = {Webb, Erik K. and Anderson, Mary P.},
Journal = {Water Resources Research},
Year = {1996},
Number = {3},
Pages = {533--545},
Volume = {32},
Doi = {10.1029/95WR03399},
ISSN = {1944-7973},
Keywords = {Groundwater hydrology, Groundwater transport, Stochastic hydrology},
Owner = {emanuel},
Timestamp = {2015.05.05}
}
@Article{weickert:1999,
Title = {Coherence-Enhancing Diffusion Filtering},
Author = {Weickert, Joachim},
Journal = {International Journal of Computer Vision},
Year = {1999},
Number = {2},
Pages = {111--127},
Volume = {31},
Abstract = {The completion of interrupted lines or the enhancement of flow-like structures is a challenging task in computer vision, human vision, and image processing. We address this problem by presenting a multiscale method in which a nonlinear diffusion filter is steered by the so-called interest operator (second-moment matrix, structure tensor). An m-dimensional formulation of this method is analysed with respect to its well-posedness and scale-space properties. An efficient scheme is presented which uses a stabilization by a semi-implicit additive operator splitting (AOS), and the scale-space behaviour of this method is illustrated by applying it to both 2-D and 3-D images.},
Doi = {10.1023/A:1008009714131},
ISSN = {1573-1405},
Owner = {huber},
Timestamp = {2016.07.17},
Url = {http://dx.doi.org/10.1023/A:1008009714131}
}
@Article{welber&al:2012,
Title = {The response of braided planform configuration to flow variations, bed reworking and vegetation: the case of the Tagliamento River, Italy},
Author = {Matilde Welber and Walter Bertoldi and Marco Tubino},
Journal = {Earth Surface Processes and Landforms},
Year = {2012},
Month = {jan},
Number = {5},
Pages = {572--582},
Volume = {37},
Doi = {10.1002/esp.3196},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{wellmann:2012,
Title = {Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models},
Author = {J. Florian Wellmann and Klaus Regenauer-Lieb},
Journal = {Tectonophysics},
Year = {2012},
Note = { kp:uv:technique },
Pages = {207-216},
Volume = {526-529},
Doi = {10.1016/j.tecto.2011.05.001},
Owner = {emanuel},
Timestamp = {2013.03.09}
}
@Article{werman&keren:2001,
Title = {A Bayesian method for fitting parametric and nonparametric models to noisy data},
Author = {M. Werman and D. Keren},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year = {2001},
Month = {May},
Number = {5},
Pages = {528-534},
Volume = {23},
Doi = {10.1109/34.922710},
ISSN = {0162-8828},
Keywords = {Bayes methods;Gaussian noise;estimation theory;mean square error methods;probability;Bayesian method;circles;elliptic arcs;general curves;lines;model fitting;noisy data;nonparametric models;parametric models;rectangles;segments;strong discontinuities;uniform noise;Bayesian methods;Curve fitting;Gaussian noise;Image segmentation;Linear approximation;Mean square error methods;Parametric statistics;Polynomials;Surface fitting;Traveling salesman problems},
Owner = {huber},
Timestamp = {2018.03.15}
}
@Article{western&bloschl:1999,
Title = {On the spatial scaling of soil moisture},
Author = {Andrew W. Western and G\"{u}nter Bl\"{o}schl},
Journal = {Journal of Hydrology},
Year = {1999},
Month = {apr},
Number = {3--4},
Pages = {203--224},
Volume = {217},
Doi = {10.1016/s0022-1694(98)00232-7},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@Article{white:1988,
Title = {Maximum Kurtosis Phase Correction},
Author = {R. E. White},
Journal = {Geophysical Journal International},
Year = {1988},
Month = {nov},
Number = {2},
Pages = {371--389},
Volume = {95},
Doi = {10.1111/j.1365-246x.1988.tb00475.x},
Owner = {emanuel},
Publisher = {Oxford University Press ({OUP})},
Timestamp = {2015.05.28}
}
@Article{whittaker&teutsch:1999,
Title = {Numerical simulation of subsurface characterization methods: application to a natural aquifer analogue },
Author = {Janet Whittaker and Georg Teutsch},
Journal = {Advances in Water Resources},
Year = {1999},
Number = {8},
Pages = {819--829},
Volume = {22},
Abstract = {Information from an outcrop is used as an analogue of a natural heterogeneous aquifer in order to provide an exhaustive data set of hydraulic properties. Based on this data, two commonly used borehole based investigation methods are simulated numerically. For a scenario of sparse sampling of the aquifer, the process of regionalization of the borehole hydraulic conductivity values is simulated by application of a deterministic interpolation approach and conditioned stochastic simulations. Comparison of the cumulative distributions of particle arrival times illustrates the effects of the sparse sampling, the properties of the individual investigation methods and the regionalization methods on the ability to predict flow and transport behaviour in the real system (i.e. the exhaustive data set).},
Doi = {10.1016/S0309-1708(98)00056-6},
File = {numerical simulation subsurface characterization methods:1999_whittaker-and-teutsch_numerical-simulation-of-subsurface-characterization-method.pdf:PDF},
ISSN = {0309-1708},
Owner = {hubere},
Timestamp = {2014.03.20}
}
@Article{wiggins:1978,
Title = {Minimum entropy deconvolution},
Author = {Ralph A Wiggins},
Journal = {Geoexploration},
Year = {1978},
Month = {apr},
Number = {1-2},
Pages = {21--35},
Volume = {16},
Doi = {10.1016/0016-7142(78)90005-4},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@InBook{wilkinson:2010,
Title = {Bayesian Calibration of Expensive Multivariate Computer Experiments},
Author = {Wilkinson, R. D.},
Chapter = {10},
Pages = {195--215},
Publisher = {John Wiley \& Sons, Ltd},
Year = {2010},
Booktitle = {Large-Scale Inverse Problems and Quantification of Uncertainty},
Doi = {10.1002/9780470685853.ch10},
ISBN = {9780470685853},
Keywords = {Bayesian calibration - of expensive multivariate computer experiments, computer model calibration - observational data, with multivariate output and high running expense, Bayesian approach to calibration of computer experiments - Kennedy and O'Hagan's emulators, univariate computer models - dealing with multivariate models, calibration, and inverse process - fitting a model to data, calibrating computer models - and long run times, calibration method and best-input concept, multivariate calibration, Kennedy and O'Hagan's calibration approach - calibration of computer models with multivariate outputs, method limitations - and Gaussian process emulator technology limitations},
Owner = {huber},
Timestamp = {2016.06.08}
}
@Article{wohlberg:2009,
Title = {Delineation of geological facies from poorly differentiated data},
Author = {Brendt Wohlberg and Daniel M. Tartakovsky},
Journal = {Advances in Water Resources},
Year = {2009},
Number = {2},
Pages = {225 - 230},
Volume = {32},
Abstract = {The ability to delineate geologic facies and to estimate their properties from sparse data is essential for modeling physical and biochemical processes occurring in the subsurface. If such data are poorly differentiated, this challenging task is complicated further by the absence of a clear distinction between different hydrofacies at locations where data are available. We consider three alternative approaches for analysis of poorly differentiated data: a k-means clustering algorithm, an expectation-maximization algorithm, and a minimum-variance algorithm. Two distinct synthetically generated geological settings are used to analyze the ability of these algorithms to assign accurately the membership of such data in a given geologic facies. On average, the minimum-variance algorithm provides a more robust performance than its two counterparts, and when combined with a nearest neighbor algorithm, it also yields the most accurate reconstruction of the boundaries between the facies.},
Doi = {10.1016/j.advwatres.2008.10.014},
File = {original paper:papers\\2009_wohlberg-and-tartokovsky_delineation-facies-poorly-differentiated.pdf:PDF;emanuel'notes on paper!:papers\\2009_wohlberg-and-tartokovsky_delineation-facies-poorly-differentiated.doc:Word},
Groups = {facies delineation, EM},
ISSN = {0309-1708},
Keywords = {Geostatistics, Nearest neighbor, Undifferentiated, Classification, Measurement error, Expectation-Maximisation},
Owner = {hubere},
Timestamp = {2011.08.05}
}
@Article{wood&al:1978,
Title = {The deblubbling of marine source signatures},
Author = {L. C. Wood and R. C. Heiser and S. Treitel and P. L. Riley},
Journal = {Geophysics},
Year = {1978},
Month = {jun},
Number = {4},
Pages = {715--729},
Volume = {43},
Doi = {10.1190/1.1440848},
Owner = {emanuel},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2015.05.28}
}
@Article{wu:2017,
Title = {Building 3D subsurface models conforming to seismic structural and stratigraphic features},
Author = {Xinming Wu},
Journal = {Geophysics},
Year = {2017},
Month = {may},
Number = {3},
Pages = {IM21--IM30},
Volume = {82},
Doi = {10.1190/geo2016-0255.1},
Owner = {hubere},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2017.11.17}
}
@Article{xia&al:2004,
Title = {Application of deterministic deconvolution of ground-penetrating radar data in a study of carbonate strata},
Author = {Jianghai Xia and Evan K. Franseen and Richard D. Miller and Thomas V. Weis},
Journal = {Journal of Applied Geophysics},
Year = {2004},
Month = {oct},
Number = {3},
Pages = {213--229},
Volume = {56},
Doi = {10.1016/j.jappgeo.2004.07.003},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@Article{xia&al:2003,
Title = {Improving ground-penetrating radar data in sedimentary rocks using deterministic deconvolution},
Author = {Jianghai Xia and Evan K. Franseen and Richard D. Miller and Thomas V. Weis and Alan P. Byrnes},
Journal = {Journal of Applied Geophysics},
Year = {2003},
Month = {nov},
Number = {1--2},
Pages = {15--33},
Volume = {54},
Doi = {10.1016/s0926-9851(03)00045-4},
Owner = {emanuel},
Publisher = {Elsevier {BV}},
Timestamp = {2015.05.28}
}
@Article{xie&carlin:2006,
Title = {Measures of Bayesian learning and identifiability in hierarchical models},
Author = {Yang Xie and Bradley P. Carlin},
Journal = {Journal of Statistical Planning and Inference},
Year = {2006},
Number = {10},
Pages = {3458 - 3477},
Volume = {136},
Doi = {https://doi.org/10.1016/j.jspi.2005.04.003},
ISSN = {0378-3758},
Keywords = {Conditionally autoregressive (CAR) model, Markov chain Monte Carlo (MCMC), Nonidentifiability, Noninformativity, Spatial statistics},
Owner = {huber},
Timestamp = {2018.05.18}
}
@Article{xu&valocchi:2015,
Title = {A Bayesian approach to improved calibration and prediction of groundwater models with structural error},
Author = {Xu, Tianfang and Valocchi, Albert J.},
Journal = {Water Resources Research},
Year = {2015},
Number = {11},
Pages = {9290--9311},
Volume = {51},
Doi = {10.1002/2015WR017912},
ISSN = {1944-7973},
Keywords = {Model calibration, Uncertainty assessment, Groundwater quality, Machine learning, model error, Bayesian calibration, uncertainty, Gaussian process},
Owner = {huber},
Timestamp = {2016.01.22}
}
@Article{ye&al:2015,
Title = {Enhancement of plume dilution in two-dimensional and three-dimensional porous media by flow focusing in high-permeability inclusions},
Author = {Ye, Yu and Chiogna, Gabriele and Cirpka, Olaf A. and Grathwohl, Peter and Rolle, Massimo},
Journal = {Water Resources Research},
Year = {2015},
Number = {7},
Pages = {5582--5602},
Volume = {51},
Doi = {10.1002/2015WR016962},
ISSN = {1944-7973},
Keywords = {Groundwater transport, Groundwater hydraulics, Groundwater quality, Instruments and techniques: monitoring, dilution, mixing enhancement, dilution index, heterogeneity, laboratory experiments, porous media},
Owner = {huber},
Timestamp = {2016.02.29}
}
@Book{yilmaz:2001,
Title = {Seismic Data Analysis},
Author = {Yilmaz, Oz},
Editor = {Yilmaz, Oz},
Publisher = {Society Of Exploration Geophysicists},
Year = {2001},
Address = {Tulsa, USA},
Edition = {2 ed},
Month = jan,
Series = {Investigations in Geophysics},
Volume = {10},
Abstract = {Oz Yilmaz has expanded his original volume on processing to include inversion and interpretation of seismic data. In addition to the developments in all aspects of conventional processing, this two-volume set represents a comprehensive and complete coverage of the modern trends in the seismic industry-from time to depth, from 3-D to 4-D, from 4-D to 4-C, and from isotropy to anisotropy.},
Added-at = {2012-09-01T13:08:21.000+0200},
Biburl = {http://www.bibsonomy.org/bibtex/2abe5b80830df3b15c514ae2c3ac0ff6f/nilsma},
Day = {01},
Doi = {10.1190/1.9781560801580},
HowPublished = {Hardcover},
Interhash = {4ba893007ad0c20c0f29bd73867c43af},
Intrahash = {abe5b80830df3b15c514ae2c3ac0ff6f},
ISBN = {1560800941},
Keywords = {book geophysics imaging migration processing reflection seismics},
Owner = {hubere},
Timestamp = {2012-09-01T13:08:21.000+0200}
}
@Article{zanoni&al:2008,
Title = {Island dynamics in a braided river from analysis of historical maps and air photographs},
Author = {Luca Zanoni and Angela Gurnell and Nick Drake and Nicola Surian},
Journal = {River Research and Applications},
Year = {2008},
Month = {oct},
Number = {8},
Pages = {1141--1159},
Volume = {24},
Doi = {10.1002/rra.1086},
Owner = {emanuel},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@Article{zeng&al:2015,
Title = {Recursive impedance inversion of ground-penetrating radar data in stochastic media},
Author = {Zeng, Zhao-Fa and Chen, Xiong and Li, Jing and Chen, Ling-Na and Lu, Qi and Liu, Feng-Shan},
Journal = {Applied Geophysics},
Year = {2015},
Number = {4},
Pages = {615--625},
Volume = {12},
Abstract = {The travel time and amplitude of ground-penetrating radar (GPR) waves are closely related to medium parameters such as water content, porosity, and dielectric permittivity. However, conventional estimation methods, which are mostly based on wave velocity, are not suitable for real complex media because of limited resolution. Impedance inversion uses the reflection coefficient of radar waves to directly calculate GPR impedance and other parameters of subsurface media. We construct a 3D multiscale stochastic medium model and use the mixed Gaussian and exponential autocorrelation function to describe the distribution of parameters in real subsurface media. We introduce an elliptical Gaussian function to describe local random anomalies. The tapering function is also introduced to reduce calculation errors caused by the numerical simulation of discrete grids. We derive the impedance inversion workflow and test the calculation precision in complex media. Finally, we use impedance inversion to process GPR field data in a polluted site in Mongolia. The inversion results were constrained using borehole data and validated by resistivity data.},
Doi = {10.1007/s11770-015-0514-0},
ISSN = {1993-0658},
Owner = {huber},
Timestamp = {2016.07.17},
Url = {http://dx.doi.org/10.1007/s11770-015-0514-0}
}
@Article{zhou&al:2016,
Title = {Stochastic structure-constrained image-guided inversion of geophysical data},
Author = {Zhou, Jieyi and Revil, Andr{\'e} and Jardani, Abderrahim},
Journal = {Geophysics},
Year = {2016},
Number = {2},
Pages = {E89--E101},
Volume = {81},
Abstract = {Inverse modeling of geophysical data involves the recovery of a subsurface structural model and the distribution of petrophysical properties. Independent information regarding the subsurface structure is usually available, with some uncertainty, from the expertise of a geologist and possibly accounting for sedimentary and tectonic processes. We have used the available structural information to construct a model covariance matrix and to perform a structure-constrained inversion of the geophysical data to obtain a geophysical tomogram m. We have considered that the geologic models y were built from random variables and were described with a priori probability density function in the Bayesian framework. We have explored for the a posteriori probability density of the geologic models (i.e., the structure of the guiding image) with the Markov-chain Monte Carlo method, and we inverted at the same time, in a deterministic framework, the geophysical data. The sampling of the geologic models was performed in a stochastic framework, and each geologic model y was used to invert the geophysical model m using image-guided inversion. The adaptive metropolis algorithm was used to find the proposal distributions of y reproducing the geophysical data and the geophysical information. In other words, we have tried to find a compromise between the a priori geologic information and the geophysical data to get, as end products, an updated geologic model and a geophysical tomogram. To demonstrate our approach, we used here electrical resistivity tomography as a technique to identify a correct geologic model and its a posteriori probability density. The approach was tested using one synthetic example (with three horizontal layers displaced by a normal fault) and one field case corresponding to a sinkhole in a three-layer structure. In both cases, we were able to select the most plausible geologic models that agreed with a priori information and the geophysical data.},
Doi = {10.1190/geo2014-0569.1},
Eprint = {http://geophysics.geoscienceworld.org/content/81/2/E89.full.pdf},
ISSN = {0016-8033},
Owner = {huber},
Publisher = {Society of Exploration Geophysicists},
Timestamp = {2016.07.24},
Url = {http://geophysics.geoscienceworld.org/content/81/2/E89}
}
@Article{zhou&al:2014,
Title = {The Influence of Streambed Heterogeneity on Hyporheic Flow in Gravelly Rivers},
Author = {Zhou, YaoQuan and Ritzi, Robert W. and Soltanian, Mohamad Reza and Dominic, David F.},
Journal = {Groundwater},
Year = {2014},
Number = {2},
Pages = {206--216},
Volume = {52},
Doi = {10.1111/gwat.12048},
ISSN = {1745-6584},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.01.27}
}
@Article{zinn&harvey:2003,
Title = {When good statistical models of aquifer heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in connected and multivariate Gaussian hydraulic conductivity fields},
Author = {Brendan Zinn and Charles F. Harvey},
Journal = {Water Resources Research},
Year = {2003},
Month = {mar},
Number = {3},
Volume = {39},
Doi = {10.1029/2001wr001146},
Owner = {hubere},
Publisher = {Wiley-Blackwell},
Timestamp = {2015.05.08}
}
@InBook{zolezzi:2006,
Title = {Braided Rivers: Process, Deposits, Ecology and Management},
Author = {Zolezzi, Guido and Bertoldi, Walter and Tubino, Marco},
Chapter = {Morphological Analysis and Prediction of River Bifurcations},
Editor = {Gregory H. Sambrook Smith and James L. Best and Charlie S. Bristow and Geoff E. Petts},
Pages = {233--256},
Publisher = {Blackwell Publishing Ltd.},
Year = {2009},
Abstract = {This chapter contains sections titled: * Introduction * Field Measurements * Morphological Description of Bifurcations in Braided Networks * A Theoretical Model * Comparison and Discussion * Final Remarks * Acknowledgements * Nomenclature * References},
Booktitle = {Braided Rivers},
Doi = {10.1002/9781444304374.ch11},
File = {Original's paper:papers\\2006_zolezzi-et-al_Morphological analysis and prediction of river bifurcations.pdf:PDF},
Groups = {confluence, braided river, modelling, elevation, bifurcation, observation, measurement},
ISBN = {9781444304374},
Keywords = {morphological analysis and river bifurcation prediction, braiding - complex and highly dynamic process, intermittent processes of channel change and changing modes of sediment transport in braided rivers, Ridanna Creek field site, discharge and velocity measurements, ultrasonic distance gauging (UDG) device, grain-size measurements - carried out using ???Wolman Count??? procedure, braided network bifurcations},
Owner = {hubere},
Timestamp = {2013.06.28}
}
@Article{zuur&al:2010,
Title = {A protocol for data exploration to avoid common statistical problems},
Author = {Zuur, Alain F. and Ieno, Elena N. and Elphick, Chris S.},
Journal = {Methods in Ecology and Evolution},
Year = {2010},
Number = {1},
Pages = {3--14},
Volume = {1},
Doi = {10.1111/j.2041-210X.2009.00001.x},
ISSN = {2041-210X},
Keywords = {collinearity, data exploration, independence, transformations, type I and II errors, zero inflation},
Owner = {huber},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {2016.05.14},
Url = {http://dx.doi.org/10.1111/j.2041-210X.2009.00001.x}
}
@Book{oxfordEarthScienceDic:2013,
Title = {A Dictionary of Geology and Earth Sciences},
Editor = {Michael Allaby},
Publisher = {Oxford University Press},
Year = {2013},
Edition = {4},
ISBN = {9780199653065},
Owner = {emanuel},
Timestamp = {2015.05.20}
}
@Book{westin&al:2014,
Title = {Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data},
Editor = {Carl-Fredrik Westin and Anna Vilanova and Bernhard Burgeth},
Publisher = {Springer Berlin Heidelberg},
Year = {2014},
Doi = {10.1007/978-3-642-54301-2},
Owner = {huber},
Timestamp = {2016.07.25}
}
@Article{bauser&al:2012,
author = {G. Bauser and Harrie-Jan Hendricks Franssen and Fritz Stauffer and Hans-Peter Kaiser and U. Kuhlmann and W. Kinzelbach},
title = {A comparison study of two different control criteria for the real-time management of urban groundwater works},
journal = {Journal of Environmental Management},
year = {2012},
volume = {105},
pages = {21--29},
month = {aug},
doi = {10.1016/j.jenvman.2011.12.024},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.jenvman.2011.12.024},
}
@Article{benoit&al:2018,
author = {Sien Benoit and Gert Ghysels and Kevin Gommers and Thomas Hermans and Frederic Nguyen and Marijke Huysmans},
title = {Characterization of spatially variable riverbed hydraulic conductivity using electrical resistivity tomography and induced polarization},
journal = {Hydrogeology Journal},
year = {2018},
month = {sep},
doi = {10.1007/s10040-018-1862-7},
owner = {huber},
publisher = {Springer Nature America, Inc},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s10040-018-1862-7},
}
@Article{beres&haeni:991,
author = {Milan Beres and F. P. Haeni},
title = {Application of Ground-Penetrating-Radar Methods in Hydrogeologie Studies},
journal = {Ground Water},
year = {1991},
volume = {29},
number = {3},
pages = {375--386},
month = {may},
doi = {10.1111/j.1745-6584.1991.tb00528.x},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/j.1745-6584.1991.tb00528.x},
}
@Article{besmer&al:2016,
author = {Michael D. Besmer and Frederik Hammes},
title = {Short-term microbial dynamics in a drinking water plant treating groundwater with occasional high microbial loads},
journal = {Water Research},
year = {2016},
volume = {107},
pages = {11--18},
month = {dec},
doi = {10.1016/j.watres.2016.10.041},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.watres.2016.10.041},
}
@Article{besmer&al:2014,
author = {Michael D. Besmer and David G. Weissbrodt and Bradley E. Kratochvil and J{\~{A}}{\textonequarter}rg A. Sigrist and Mathias S. Weyland and Frederik Hammes},
title = {The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems},
journal = {Frontiers in Microbiology},
year = {2014},
volume = {5},
month = {jun},
doi = {10.3389/fmicb.2014.00265},
owner = {huber},
publisher = {Frontiers Media {SA}},
timestamp = {2018.11.01},
url = {https://doi.org/10.3389/fmicb.2014.00265},
}
@Article{borgonovo&2007,
author = {E. Borgonovo},
title = {A new uncertainty importance measure},
journal = {Reliability Engineering {\&} System Safety},
year = {2007},
volume = {92},
number = {6},
pages = {771--784},
month = {jun},
doi = {10.1016/j.ress.2006.04.015},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.ress.2006.04.015},
}
@Article{borgonovo&plischke:2016,
author = {Emanuele Borgonovo and Elmar Plischke},
title = {Sensitivity analysis: A review of recent advances},
journal = {European Journal of Operational Research},
year = {2016},
volume = {248},
number = {3},
pages = {869--887},
month = {feb},
doi = {10.1016/j.ejor.2015.06.032},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.ejor.2015.06.032},
}
@Article{bozdag&al:2011,
author = {Ebru Bozda{\u{g}} and Jeannot Trampert and Jeroen Tromp},
title = {Misfit functions for full waveform inversion based on instantaneous phase and envelope measurements},
journal = {Geophysical Journal International},
year = {2011},
volume = {185},
number = {2},
pages = {845--870},
month = {mar},
doi = {10.1111/j.1365-246x.2011.04970.x},
owner = {huber},
publisher = {Oxford University Press ({OUP})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/j.1365-246x.2011.04970.x},
}
@Article{brunner&al:2017,
author = {Philip Brunner and Ren{\'{e}} Therrien and Philippe Renard and Craig T. Simmons and Harrie-Jan Hendricks Franssen},
title = {Advances in understanding river-groundwater interactions},
journal = {Reviews of Geophysics},
year = {2017},
volume = {55},
number = {3},
pages = {818--854},
month = {sep},
doi = {10.1002/2017rg000556},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2017rg000556},
}
@InProceedings{carvalho&al:2016,
author = {Lucas A. M. C. Carvalho and Khalid Belhajjame and Claudia Bauzer Medeiros},
title = {Converting scripts into reproducible workflow research objects},
booktitle = {2016 {IEEE} 12th International Conference on e-Science (e-Science)},
year = {2016},
month = {oct},
publisher = {{IEEE}},
doi = {10.1109/escience.2016.7870887},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1109/escience.2016.7870887},
}
@PhdThesis{diem:2013,
author = {Samuel Diem},
title = {Riverbank Filtration within the Context of River Restoration and Climate Change},
school = {University of Neuchatel},
year = {2013},
owner = {huber},
timestamp = {2018.11.01},
}
@Article{diem&al:2013,
author = {Samuel Diem and Matthias Rudolf von Rohr and Janet G. Hering and Hans-Peter E. Kohler and Mario Schirmer and Urs von Gunten},
title = {{NOM} degradation during river infiltration: Effects of the climate variables temperature and discharge},
journal = {Water Research},
year = {2013},
volume = {47},
number = {17},
pages = {6585--6595},
month = {nov},
doi = {10.1016/j.watres.2013.08.028},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.watres.2013.08.028},
}
@Article{vanDriezum&al:2018,
author = {Inge H. van Driezum and Alex H.S. Chik and Stefan Jakwerth and Gerhard Lindner and Andreas H. Farnleitner and Regina Sommer and Alfred Paul Blaschke and Alexander K.T. Kirschner},
title = {Spatiotemporal analysis of bacterial biomass and activity to understand surface and groundwater interactions in a highly dynamic riverbank filtration system},
journal = {Science of The Total Environment},
year = {2018},
volume = {627},
pages = {450--461},
month = {jun},
doi = {10.1016/j.scitotenv.2018.01.226},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.scitotenv.2018.01.226},
}
@Article{fenwick&al:2014,
author = {Darryl Fenwick and C{\'{e}}line Scheidt and Jef Caers},
title = {Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling},
journal = {Mathematical Geosciences},
year = {2014},
volume = {46},
number = {4},
pages = {493--511},
month = {apr},
doi = {10.1007/s11004-014-9530-5},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s11004-014-9530-5},
}
@Book{good&hardin:2012,
title = {Common Errors in Statistics (And How to Avoid Them)},
publisher = {John Wiley {\&} Sons, Inc.},
year = {2012},
author = {Phillip I. Good and James W. Hardin},
month = {jul},
doi = {10.1002/9781118360125},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/9781118360125},
}
@InCollection{guillaume&al:2016,
author = {Joseph H. A. Guillaume and Randall J. Hunt and Alessandro Comunian and Rachel S. Blakers and Baihua Fu},
title = {Methods for Exploring Uncertainty in Groundwater Management Predictions},
booktitle = {Integrated Groundwater Management},
publisher = {Springer International Publishing},
year = {2016},
pages = {711--737},
doi = {10.1007/978-3-319-23576-9_28},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/978-3-319-23576-9_28},
}
@Article{guthke:2017,
author = {Anneli Guthke},
title = {Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice},
journal = {Groundwater},
year = {2017},
volume = {55},
number = {5},
pages = {646--650},
month = {jul},
doi = {10.1111/gwat.12554},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/gwat.12554},
}
@Article{hoege&al:2018,
author = {Marvin H\"{o}ge and Thomas W\"{o}hling and Wolfgang Nowak},
title = {A Primer for Model Selection: The Decisive Role of Model Complexity},
journal = {Water Resources Research},
year = {2018},
volume = {54},
number = {3},
pages = {1688--1715},
month = {mar},
doi = {10.1002/2017wr021902},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2017wr021902},
}
@Article{hammes&al:2012,
author = {Frederik Hammes and Tobias Broger and Hans-Ulrich Weilenmann and Marius Vital and Jakob Helbing and Ulrich Bosshart and Pascal Huber and Res Peter Odermatt and Bernhard Sonnleitner},
title = {Development and laboratory-scale testing of a fully automated online flow cytometer for drinking water analysis},
journal = {Cytometry Part A},
year = {2012},
volume = {81A},
number = {6},
pages = {508--516},
month = {apr},
doi = {10.1002/cyto.a.22048},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/cyto.a.22048},
}
@Article{hasting:1970,
author = {Hasting, W.K.},
title = {Monte Carlo sampling Methods using Markov chains and their applications},
journal = {Biometrika},
year = {1970},
volume = {51},
number = {1},
pages = {97--109},
owner = {emanuel},
timestamp = {2015.05.14},
}
@Article{hastings:1970,
author = {Hastings, W. K.},
title = {Monte Carlo sampling methods using Markov chains and their applications},
journal = {Biometrika},
year = {1970},
volume = {57},
number = {1},
pages = {97-109},
owner = {hubere},
timestamp = {2017.09.15},
}
@Article{hayley:2017,
author = {Kevin Hayley},
title = {The Present State and Future Application of Cloud Computing for Numerical Groundwater Modeling},
journal = {Groundwater},
year = {2017},
volume = {55},
number = {5},
pages = {678--682},
month = {jul},
doi = {10.1111/gwat.12555},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/gwat.12555},
}
@Article{hermans&al:2015,
author = {Thomas Hermans and Fr{\'{e}}d{\'{e}}ric Nguyen and Jef Caers},
title = {Uncertainty in training image-based inversion of hydraulic head data constrained to {ERT} data: Workflow and case study},
journal = {Water Resources Research},
year = {2015},
volume = {51},
number = {7},
pages = {5332--5352},
month = {jul},
doi = {10.1002/2014wr016460},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2014wr016460},
}
@Article{hoehn&meylan:2009,
author = {Eduard Hoehn and Benjamin Meylan},
title = {Schutz flussnaher Trinkwasserfassungen bei Flussraum-Aufweitungen in voralpinen Schotterebenen},
journal = {Grundwasser},
year = {2009},
volume = {14},
number = {4},
pages = {255--263},
month = {jun},
doi = {10.1007/s00767-009-0111-3},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s00767-009-0111-3},
}
@Article{hoehn&scholtis:2011,
author = {E. Hoehn and A. Scholtis},
title = {Exchange between a river and groundwater, assessed with hydrochemical data},
journal = {Hydrology and Earth System Sciences},
year = {2011},
volume = {15},
number = {3},
pages = {983--988},
month = {mar},
doi = {10.5194/hess-15-983-2011},
owner = {huber},
publisher = {Copernicus {GmbH}},
timestamp = {2018.11.01},
url = {https://doi.org/10.5194/hess-15-983-2011},
}
@TechReport{hoffmann&al:2014,
author = {Sabine Hoffmann and Daniel Hunkeler and Max Maurer},
title = {Nachhaltige Wasserversorgung und Abwasserentsorgung in der Schweiz: Herausforderungen und Handlungsoptionen},
institution = {Thematische Synthese 3 im Rahmen des Nationalen Forschungsprogramms NFP 61 "Nachhaltige Wassernutzung"},
year = {2014},
organization = {Thematische Synthese 3 im Rahmen des Nationalen Forschungsprogramms NFP 61 «Nachhaltige Wassernutzung»,},
owner = {huber},
timestamp = {2018.11.01},
url = {http://www.nfp61.ch/SiteCollectionDocuments/nfp61_thematische_synthese_3_d.pdf},
}
@Article{horgue&al:2015,
author = {P. Horgue and C. Soulaine and J. Franc and R. Guibert and G. Debenest},
title = {An open-source toolbox for multiphase flow in porous media},
journal = {Computer Physics Communications},
year = {2015},
volume = {187},
pages = {217--226},
month = {feb},
doi = {10.1016/j.cpc.2014.10.005},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.cpc.2014.10.005},
}
@InProceedings{huber&al:2018,
author = {Emanuel Huber and Birte Anders and Peter Huggenberger},
title = {Quantifying scour depth in a straightened gravel-bed river with ground-penetrating radar},
booktitle = {2018 17th International Conference on Ground Penetrating Radar ({GPR})},
year = {2018},
month = {jun},
publisher = {{IEEE}},
doi = {10.1109/icgpr.2018.8441569},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1109/icgpr.2018.8441569},
}
@InProceedings{huber&hans:2018,
author = {Emanuel Huber and Guillaume Hans},
title = {{RGPR} {\textemdash} An open-source package to process and visualize {GPR} data},
booktitle = {2018 17th International Conference on Ground Penetrating Radar ({GPR})},
year = {2018},
month = {jun},
publisher = {{IEEE}},
doi = {10.1109/icgpr.2018.8441658},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1109/icgpr.2018.8441658},
}
@Article{huber&al:2011,
author = {E. Huber and H.J. Hendricks-Franssen and H.P. Kaiser and F. Stauffer},
title = {The Role of Prior Model Calibration on Predictions with Ensemble Kalman Filter},
journal = {Ground Water},
year = {2011},
volume = {49},
number = {6},
pages = {845--858},
month = {jan},
doi = {10.1111/j.1745-6584.2010.00784.x},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/j.1745-6584.2010.00784.x},
}
@Article{huber&al:2013,
author = {Emanuel Huber and Peter Huggenberger and Jannis Epting and Yael Schindler Wildhaber},
title = {Zeitliche und r\"{a}umliche Skalen der Fluss-Grundwasser-Interaktion: Ein multidimensionaler hydrogeologischer Untersuchungsansatz},
journal = {Grundwasser},
year = {2013},
volume = {18},
number = {3},
pages = {159--172},
month = {feb},
doi = {10.1007/s00767-013-0220-x},
publisher = {Springer Nature},
url = {https://doi.org/10.1007/s00767-013-0220-x},
}
@Article{hunter&al:2018,
author = {Jason M. Hunter and Holger R. Maier and Matthew S. Gibbs and Eloise R. Foale and Naomi A. Grosvenor and Nathan P. Harders and Tahali C. Kikuchi-Miller},
title = {Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems},
journal = {Hydrology and Earth System Sciences},
year = {2018},
volume = {22},
number = {5},
pages = {2987--3006},
month = {may},
doi = {10.5194/hess-22-2987-2018},
owner = {huber},
publisher = {Copernicus {GmbH}},
timestamp = {2018.11.01},
url = {https://doi.org/10.5194/hess-22-2987-2018},
}
@Article{hut&al:2017,
author = {R. W. Hut and N. C. van de Giesen and N. Drost},
title = {Comment on {\textquotedblleft}Most computational hydrology is not reproducible, so is it really science?{\textquotedblright} by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers ({RSEs}) and not reinvent the waterwheel our},
journal = {Water Resources Research},
year = {2017},
volume = {53},
number = {5},
pages = {4524--4526},
month = {may},
doi = {10.1002/2017wr020665},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2017wr020665},
}
@Article{hutton&al:2016,
author = {Christopher Hutton and Thorsten Wagener and Jim Freer and Dawei Han and Chris Duffy and Berit Arheimer},
title = {Most computational hydrology is not reproducible, so is it really science?},
journal = {Water Resources Research},
year = {2016},
volume = {52},
number = {10},
pages = {7548--7555},
month = {oct},
doi = {10.1002/2016wr019285},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2016wr019285},
}
@Article{kass&raftery:1995,
author = {Robert E. Kass and Adrian E. Raftery},
title = {Bayes Factors},
journal = {Journal of the American Statistical Association},
year = {1995},
volume = {90},
number = {430},
pages = {773-795},
doi = {10.1080/01621459.1995.10476572},
owner = {huber},
publisher = {Taylor \& Francis},
timestamp = {2018.11.01},
}
@Article{kurtz&al:2017,
author = {Wolfgang Kurtz and Andrei Lapin and Oliver S. Schilling and Qi Tang and Eryk Schiller and Torsten Braun and Daniel Hunkeler and Harry Vereecken and Edward Sudicky and Peter Kropf and Harrie-Jan Hendricks Franssen and Philip Brunner},
title = {Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources},
journal = {Environmental Modelling {\&} Software},
year = {2017},
volume = {93},
pages = {418--435},
month = {jul},
doi = {10.1016/j.envsoft.2017.03.011},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.envsoft.2017.03.011},
}
@Article{lindsay&al:2013,
author = {Mark D. Lindsay and St{\'{e}}phane Perrouty and Mark W. Jessell and Laurent Aill{\`{e}}res},
title = {Making the link between geological and geophysical uncertainty: geodiversity in the Ashanti Greenstone Belt},
journal = {Geophysical Journal International},
year = {2013},
volume = {195},
number = {2},
pages = {903--922},
month = {sep},
doi = {10.1093/gji/ggt311},
owner = {huber},
publisher = {Oxford University Press ({OUP})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1093/gji/ggt311},
}
@Article{metivier&al:2018,
author = {Ludovic M{\'{e}}tivier and Aude Allain and Romain Brossier and Quentin M{\'{e}}rigot and Edouard Oudet and Jean Virieux},
title = {Optimal transport for mitigating cycle skipping in full-waveform inversion: A graph-space transform approach},
journal = {{GEOPHYSICS}},
year = {2018},
volume = {83},
number = {5},
pages = {R515--R540},
month = {sep},
doi = {10.1190/geo2017-0807.1},
owner = {huber},
publisher = {Society of Exploration Geophysicists},
timestamp = {2018.11.01},
url = {https://doi.org/10.1190/geo2017-0807.1},
}
@Article{naranjo:2017,
author = {Ramon C. Naranjo},
title = {Knowing Requires Data},
journal = {Groundwater},
year = {2017},
volume = {55},
number = {5},
pages = {674--677},
month = {jul},
doi = {10.1111/gwat.12553},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/gwat.12553},
}
@Article{nearing&gupta:2015,
author = {Grey S. Nearing and Hoshin V. Gupta},
title = {The quantity and quality of information in hydrologic models},
journal = {Water Resources Research},
year = {2015},
volume = {51},
number = {1},
pages = {524--538},
month = {jan},
doi = {10.1002/2014wr015895},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2014wr015895},
}
@Article{page&al:2017,
author = {Rebecca M. Page and Michael D. Besmer and Jannis Epting and J\"{u}rg A. Sigrist and Frederik Hammes and Peter Huggenberger},
title = {Online analysis: Deeper insights into water quality dynamics in spring water},
journal = {Science of The Total Environment},
year = {2017},
volume = {599-600},
pages = {227--236},
month = {dec},
doi = {10.1016/j.scitotenv.2017.04.204},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.scitotenv.2017.04.204},
}
@Article{page&al:2015,
author = {Rebecca M. Page and Peter Huggenberger and Gunnar Lischeid},
title = {Multivariate Analysis of Groundwater-Quality Time-Series Using Self-organizing Maps and Sammon's Mapping},
journal = {Water Resources Management},
year = {2015},
volume = {29},
number = {11},
pages = {3957--3970},
month = {jun},
doi = {10.1007/s11269-015-1039-2},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s11269-015-1039-2},
}
@Article{park&al:2013,
author = {Hyucksoo Park and C{\'{e}}line Scheidt and Darryl Fenwick and Alexandre Boucher and Jef Caers},
title = {History matching and uncertainty quantification of facies models with multiple geological interpretations},
journal = {Computational Geosciences},
year = {2013},
volume = {17},
number = {4},
pages = {609--621},
month = {feb},
doi = {10.1007/s10596-013-9343-5},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s10596-013-9343-5},
}
@Article{peeters&al:2018,
author = {Luk J.M. Peeters and Daniel E. Pagendam and Russell S. Crosbie and Praveen K. Rachakonda and Warrick R. Dawes and Lei Gao and Steve P. Marvanek and YongQiang Zhang and Tim R. McVicar},
title = {Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology},
journal = {Environmental Modelling {\&} Software},
year = {2018},
volume = {109},
pages = {353--367},
month = {nov},
doi = {10.1016/j.envsoft.2018.08.020},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.envsoft.2018.08.020},
}
@Article{pianosi&al:2016,
author = {Francesca Pianosi and Keith Beven and Jim Freer and Jim W. Hall and Jonathan Rougier and David B. Stephenson and Thorsten Wagener},
title = {Sensitivity analysis of environmental models: A systematic review with practical workflow},
journal = {Environmental Modelling {\&} Software},
year = {2016},
volume = {79},
pages = {214--232},
month = {may},
doi = {10.1016/j.envsoft.2016.02.008},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.envsoft.2016.02.008},
}
@Misc{pirot&al:2018,
author = {Guillaume Pirot and Emanuel Huber and James Irving and Niklas Linde},
title = {Reduction of conceptual model uncertainty using ground-penetrating radar profiles: Field-demonstration for a braided-river aquife},
year = {2018},
owner = {huber},
timestamp = {2018.11.01},
}
@Article{plischke&al:2013,
author = {Elmar Plischke and Emanuele Borgonovo and Curtis L. Smith},
title = {Global sensitivity measures from given data},
journal = {European Journal of Operational Research},
year = {2013},
volume = {226},
number = {3},
pages = {536--550},
month = {may},
doi = {10.1016/j.ejor.2012.11.047},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.ejor.2012.11.047},
}
@Article{vonRohr&al:2014,
author = {Matthias Rudolf von Rohr and Janet G. Hering and Hans-Peter E. Kohler and Urs von Gunten},
title = {Column studies to assess the effects of climate variables on redox processes during riverbank filtration},
journal = {Water Research},
year = {2014},
volume = {61},
pages = {263--275},
month = {sep},
doi = {10.1016/j.watres.2014.05.018},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.watres.2014.05.018},
}
@Article{rompre&al:2002,
author = {Annie Rompr{\'{e}} and Pierre Servais and Julia Baudart and Marie-Ren{\'{e}}e de-Roubin and Patrick Laurent},
title = {Detection and enumeration of coliforms in drinking water: current methods and emerging approaches},
journal = {Journal of Microbiological Methods},
year = {2002},
volume = {49},
number = {1},
pages = {31--54},
month = {mar},
doi = {10.1016/s0167-7012(01)00351-7},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/s0167-7012(01)00351-7},
}
@Article{ruiu&al:2016,
author = {Ruiu, Jeremy and Caumon, Guillaume and Viseur, Sophie},
title = {Modeling Channel Forms and Related Sedimentary Objects Using a Boundary Representation Based on Non-uniform Rational B-Splines},
journal = {Mathematical Geosciences},
year = {2016},
volume = {48},
number = {3},
pages = {259--284},
month = {Apr},
issn = {1874-8953},
abstract = {This paper aims at providing a flexible and compact volumetric object model capable of representing many sedimentary structures at different scales. Geobodies are defined by a boundary representation; each bounding surface is constructed as a parametric deformable surface. A three-dimensional sedimentary object with a compact parametrization which allows for representing various geometries and provides a curvilinear framework for modeling internal heterogeneities is proposed. This representation is based on non-uniform rational basis splineswhich smoothly interpolate between a set of points. The three-dimensional models of geobodies are generated using a small number of parameters, and hence can be easily modified. This can be done by a point and click user interaction for manual editing or by a Monte-Carlo sampling for stochastic simulation. Each elementary shape is controlled by deformation rules and has connection constraints with associated objects to maintain geometric consistency through editing. The boundary representations of the different sedimentary structures are used to construct hexahedral conformal grids to perform petrophysical property simulations following the particular three-dimensional parametric space of each object. Finally these properties can be upscaled, according to erosion rules, to a global grid that represents the global depositional environment.},
day = {01},
doi = {10.1007/s11004-015-9629-3},
owner = {huber},
timestamp = {2018.08.03},
}
@Article{ruiu&al:2015,
author = {Jeremy Ruiu and Guillaume Caumon and Sophie Viseur},
title = {Modeling Channel Forms and Related Sedimentary Objects Using a Boundary Representation Based on Non-uniform Rational B-Splines},
journal = {Mathematical Geosciences},
year = {2015},
volume = {48},
number = {3},
pages = {259--284},
month = {dec},
doi = {10.1007/s11004-015-9629-3},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2017.06.23},
}
@Article{sabbione&danilo:2010,
author = {Sabbione, Jaun I. and Velis, Danilo},
title = {Automatic first-breaks picking: New strategies and algorithms},
journal = {Geophysics},
year = {2010},
volume = {75},
number = {4},
pages = {67--76},
owner = {emanuel},
timestamp = {2015.06.07},
}
@Article{sabbione&velis:2010,
author = {Sabbione, Juan I. and Velis, Danilo},
title = {Automatic first-breaks picking: New strategies and algorithms},
journal = {Geophysics},
year = {2010},
volume = {75},
number = {4},
pages = {V67--V76},
issn = {0016-8033},
abstract = {We have developed three methods for the automatic picking of first breaks that can be used for marine, dynamite, or vibroseis shot records: a modified Coppens{\textquoteright}s method, an entropy-based method, and a variogram fractal-dimension method. The techniques are based on the fact that the transition between noise and noise plus signal can be automatically identified by detecting rapid changes in a certain attribute (energy ratio, entropy, or fractal dimension), which we calculate within moving windows along the seismic trace. The application of appropriate edge-preserving smoothing operators to enhance these transitions allowed us to develop an automated strategy that can be used to easily signal the precise location of the first-arrival onset. Furthermore, we propose a mispick-correcting technique to exploit the benefits of the data present in the entire shot record, which allows us to adjust the trace-by-trace picks and to discard picks associated with bad or dead traces. As a result, the consistency of the first-break picks is significantly improved. The methods are robust under noisy conditions, computationally efficient, and easy to apply. Results using dynamite and vibroseis field data show that accurate and consistent picks can be obtained in an automated manner even under the presence of correlated noise, bad traces, pulse changes, and indistinct first breaks.},
doi = {10.1190/1.3463703},
eprint = {http://geophysics.geoscienceworld.org/content/75/4/V67.full.pdf},
owner = {huber},
publisher = {Society of Exploration Geophysicists},
timestamp = {2016.07.22},
url = {http://geophysics.geoscienceworld.org/content/75/4/V67},
}
@Article{schoeniger&al:2015,
author = {Anneli Sch\"{o}niger and Thomas W\"{o}hling and Wolfgang Nowak},
title = {A statistical concept to assess the uncertainty in Bayesian model weights and its impact on model ranking},
journal = {Water Resources Research},
year = {2015},
volume = {51},
number = {9},
pages = {7524--7546},
month = {sep},
doi = {10.1002/2015wr016918},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2015wr016918},
}
@InCollection{scheidt&alch3:2018,
author = {C{\'{e}}line Scheidt and Lewis Li and Jef Caers},
title = {Data Science for Uncertainty Quantification},
booktitle = {Quantifying Uncertainty in Subsurface Systems},
publisher = {John Wiley {\&} Sons, Inc.},
year = {2018},
pages = {45--105},
month = {jun},
doi = {10.1002/9781119325888.ch3},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/9781119325888.ch3},
}
@InCollection{scheidt&alch4:2018,
author = {C{\'{e}}line Scheidt and Lewis Li and Jef Caers},
title = {Sensitivity Analysis},
booktitle = {Quantifying Uncertainty in Subsurface Systems},
publisher = {John Wiley {\&} Sons, Inc.},
year = {2018},
pages = {107--128},
month = {jun},
doi = {10.1002/9781119325888.ch4},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/9781119325888.ch4},
}
@InCollection{scheidt&alch7:2018,
author = {C{\'{e}}line Scheidt and Lewis Li and Jef Caers},
title = {Bayesian Evidential Learning},
booktitle = {Quantifying Uncertainty in Subsurface Systems},
publisher = {John Wiley {\&} Sons, Inc.},
year = {2018},
pages = {193--215},
month = {jun},
doi = {10.1002/9781119325888.ch7},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/9781119325888.ch7},
}
@Article{scheidt&al:2014,
author = {C{\'{e}}line Scheidt and Philippe Renard and Jef Caers},
title = {Prediction-Focused Subsurface Modeling: Investigating the Need for Accuracy in Flow-Based Inverse Modeling},
journal = {Mathematical Geosciences},
year = {2014},
volume = {47},
number = {2},
pages = {173--191},
month = {feb},
doi = {10.1007/s11004-014-9521-6},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s11004-014-9521-6},
}
@Article{scheidt&al:2015,
author = {C{\'{e}}line Scheidt and Pejman Tahmasebi and Marco Pontiggia and Andrea Da Pra and Jef Caers},
title = {Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal},
journal = {Computational Geosciences},
year = {2015},
volume = {19},
number = {4},
pages = {805--820},
month = {may},
doi = {10.1007/s10596-015-9491-x},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/s10596-015-9491-x},
}
@Article{schilling&al:2017,
author = {Oliver S. Schilling and Christoph Gerber and Daniel J. Partington and Roland Purtschert and Matthias S. Brennwald and Rolf Kipfer and Daniel Hunkeler and Philip Brunner},
title = {Advancing Physically-Based Flow Simulations of Alluvial Systems Through Atmospheric Noble Gases and the Novel 37Ar Tracer Method},
journal = {Water Resources Research},
year = {2017},
volume = {53},
number = {12},
pages = {10465--10490},
month = {dec},
doi = {10.1002/2017wr020754},
owner = {huber},
publisher = {American Geophysical Union ({AGU})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/2017wr020754},
}
@Article{schirmer&al:2014,
author = {M. Schirmer and J. Luster and N. Linde and P. Perona and E. A. D. Mitchell and D. A. Barry and J. Hollender and O. A. Cirpka and P. Schneider and T. Vogt and D. Radny and E. Durisch-Kaiser},
title = {Morphological, hydrological, biogeochemical and ecological changes and challenges in river restoration -- the Thur River case study},
journal = {Hydrology and Earth System Sciences},
year = {2014},
volume = {18},
number = {6},
pages = {2449--2462},
month = {jun},
doi = {10.5194/hess-18-2449-2014},
owner = {huber},
publisher = {Copernicus {GmbH}},
timestamp = {2018.11.01},
url = {https://doi.org/10.5194/hess-18-2449-2014},
}
@Article{schmidt&al:2018,
author = {Franziska Schmidt and Haruko M. Wainwright and Boris Faybishenko and Miles Denham and Carol Eddy-Dilek},
title = {In Situ Monitoring of Groundwater Contamination Using the Kalman Filter},
journal = {Environmental Science {\&} Technology},
year = {2018},
volume = {52},
number = {13},
pages = {7418--7425},
month = {jun},
doi = {10.1021/acs.est.8b00017},
owner = {huber},
publisher = {American Chemical Society ({ACS})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1021/acs.est.8b00017},
}
@Article{shuler&al:2018,
author = {Christopher K. Shuler and Henritta Dulai and Randel DeWees and Marek Kirs and Craig R. Glenn and Aly I. El-Kadi},
title = {Isotopes, Microbes, and Turbidity: A Multi-Tracer Approach to Understanding Recharge Dynamics and Groundwater Contamination in a Basaltic Island Aquifer},
journal = {Groundwater Monitoring {\&} Remediation},
year = {2018},
month = {oct},
doi = {10.1111/gwmr.12299},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/gwmr.12299},
}
@Article{tang&al:2016,
author = {Yating Tang and Lucy Marshall and Ashish Sharma and Tyler Smith},
title = {Tools for investigating the prior distribution in Bayesian hydrology},
journal = {Journal of Hydrology},
year = {2016},
volume = {538},
pages = {551--562},
month = {jul},
doi = {10.1016/j.jhydrol.2016.04.032},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.jhydrol.2016.04.032},
}
@Article{taylor&al:2004,
author = {Richard Taylor and Aidan Cronin and Steve Pedley and John Barker and Tim Atkinson},
title = {The implications of groundwater velocity variations on microbial transport and wellhead protection - review of field evidence},
journal = {{FEMS} Microbiology Ecology},
year = {2004},
volume = {49},
number = {1},
pages = {17--26},
month = {jul},
doi = {10.1016/j.femsec.2004.02.018},
owner = {huber},
publisher = {Oxford University Press ({OUP})},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.femsec.2004.02.018},
}
@Article{wallis&al:2014,
author = {Ilka Wallis and Catherine Moore and Vincent Post and Leif Wolf and Evelien Martens and Henning Prommer},
title = {Using predictive uncertainty analysis to optimise tracer test design and data acquisition},
journal = {Journal of Hydrology},
year = {2014},
volume = {515},
pages = {191--204},
month = {jul},
doi = {10.1016/j.jhydrol.2014.04.061},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.jhydrol.2014.04.061},
}
@Article{warren&al:2016,
author = {Craig Warren and Antonios Giannopoulos and Iraklis Giannakis},
title = {{gprMax}: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar},
journal = {Computer Physics Communications},
year = {2016},
volume = {209},
pages = {163--170},
month = {dec},
doi = {10.1016/j.cpc.2016.08.020},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.cpc.2016.08.020},
}
@Article{weber&al:2017,
author = {Christine Weber and Ulrika {\AA}berg and Anthonie D. Buijse and Francine M.R. Hughes and Brendan G. McKie and Herv{\'{e}} Pi{\'{e}}gay and Phil Roni and Stefan Vollenweider and Susanne Haertel-Borer},
title = {Goals and principles for programmatic river restoration monitoring and evaluation: collaborative learning across multiple projects},
journal = {Wiley Interdisciplinary Reviews: Water},
year = {2017},
volume = {5},
number = {1},
pages = {e1257},
month = {oct},
doi = {10.1002/wat2.1257},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1002/wat2.1257},
}
@Article{white:2017,
author = {Jeremy T. White},
title = {Forecast First: An Argument for Groundwater Modeling in Reverse},
journal = {Groundwater},
year = {2017},
volume = {55},
number = {5},
pages = {660--664},
month = {jul},
doi = {10.1111/gwat.12558},
owner = {huber},
publisher = {Wiley},
timestamp = {2018.11.01},
url = {https://doi.org/10.1111/gwat.12558},
}
@Article{schindlerwildhaber&al:2014,
author = {Y. Schindler Wildhaber and C. Michel and J. Epting and R.A. Wildhaber and E. Huber and P. Huggenberger and P. Burkhardt-Holm and C. Alewell},
title = {Effects of river morphology, hydraulic gradients, and sediment deposition on water exchange and oxygen dynamics in salmonid redds},
journal = {Science of The Total Environment},
year = {2014},
volume = {470-471},
pages = {488--500},
month = {feb},
doi = {10.1016/j.scitotenv.2013.09.100},
owner = {huber},
publisher = {Elsevier {BV}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1016/j.scitotenv.2013.09.100},
}
@Article{wilkinson:2013,
author = {Richard David Wilkinson},
title = {Approximate Bayesian computation ({ABC}) gives exact results under the assumption of model error},
journal = {Statistical Applications in Genetics and Molecular Biology},
year = {2013},
volume = {12},
number = {2},
month = {jan},
doi = {10.1515/sagmb-2013-0010},
owner = {huber},
publisher = {Walter de Gruyter {GmbH}},
timestamp = {2018.11.01},
url = {https://doi.org/10.1515/sagmb-2013-0010},
}
@Article{yang&al:2017,
author = {Haimin Yang and Zhisong Pan and Qing Tao},
title = {Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory},
journal = {Computational Intelligence and Neuroscience},
year = {2017},
volume = {2017},
pages = {1--9},
doi = {10.1155/2017/9478952},
owner = {huber},
publisher = {Hindawi Limited},
timestamp = {2018.11.01},
url = {https://doi.org/10.1155/2017/9478952},
}
@Article{yang&engquist:2017,
author = {Yunan Yang and Bj\"{o}rn Engquist},
title = {Analysis of optimal transport and related misfit functions in full-waveform inversion},
journal = {{GEOPHYSICS}},
year = {2017},
volume = {83},
number = {1},
pages = {A7--A12},
month = {nov},
doi = {10.1190/geo2017-0264.1},
owner = {huber},
publisher = {Society of Exploration Geophysicists},
timestamp = {2018.11.01},
url = {https://doi.org/10.1190/geo2017-0264.1},
}
@Book{burnham&anderson:2004,
title = {Model Selection and Multimodel Inference},
publisher = {Springer New York},
year = {2004},
editor = {Kenneth P. Burnham and David R. Anderson},
doi = {10.1007/b97636},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/b97636},
}
@Book{ray&al:2003,
title = {Riverbank Filtration},
publisher = {Kluwer Academic Publishers},
year = {2003},
editor = {Chittaranjan Ray and Gina Melin and Ronald B. Linsky},
doi = {10.1007/0-306-48154-5},
owner = {huber},
timestamp = {2018.11.01},
url = {https://doi.org/10.1007/0-306-48154-5},
}
@Article{,
owner = {huber},
timestamp = {2018.11.01},
}
@Article{asce:1966,
author = {A.S.C.E.},
title = {Nomenclature for Bed Forms in Alluvial Channel, Report of the Task Force on Bed Forms in Alluvial Channels of the Committee on Sedimentation},
journal = {Journal of the Hydraulics Division},
year = {1966},
volume = {92},
number = {3},
pages = {51--64},
month = {May/June},
owner = {hubere},
review = {by Task Force on Bed Forms in Alluvial Channels of the Committee on Sedimentation},
timestamp = {2013.07.08},
}
@Article{alcolea&al:2006,
author = {Andr{\'{e}}s Alcolea and Jes{\'{u}}s Carrera and Agust{\'{\i}}n Medina},
title = {Pilot points method incorporating prior information for solving the groundwater flow inverse problem},
journal = {Advances in Water Resources},
year = {2006},
volume = {29},
number = {11},
pages = {1678--1689},
month = {nov},
doi = {10.1016/j.advwatres.2005.12.009},
owner = {hubere},
publisher = {Elsevier {BV}},
timestamp = {2015.05.08},
}
@InCollection{allard&al:2005,
author = {Allard, Denis and Froidevaux, Roland and Biver, Pierre},
title = {Accounting for Non-stationarity and Interactions in Object Simulation for Reservoir Heterogeneity Characterization},
booktitle = {Geostatistics Banff 2004},
publisher = {Springer Netherlands},
year = {2005},
editor = {Leuangthong, Oy and Deutsch, ClaytonV.},
volume = {14},
series = {Quantitative Geology and Geostatistics},
pages = {155--164},
isbn = {978-1-4020-3515-9},
note = {Volume 14},
doi = {10.1007/978-1-4020-3610-1_16},
owner = {hubere},
timestamp = {2014.05.26},
}
@Article{allroggen&al:2015,
author = {Niklas Allroggen and N. Loes M.B. van Schaik and Jens Tronicke},
title = {4D ground-penetrating radar during a plot scale dye tracer experiment},
journal = {Journal of Applied Geophysics},
year = {2015},
volume = {118},
pages = {139 - 144},
issn = {0926-9851},
abstract = {Abstract Flow phenomena in the unsaturated zone are highly variable in time and space. Thus, it is challenging to measure and monitor such processes under field conditions. Here, we present a new setup and interpretation approach for combining a dye tracer experiment with a 4D ground-penetrating radar (GPR) survey. Therefore, we designed a rainfall experiment during which we measured three surface-based 3D \{GPR\} surveys using a pair of 500 \{MHz\} antennas. Such a survey setup requires accurate acquisition and processing techniques to extract time-lapse information supporting the interpretation of selected cross-sections photographed after excavating the site. Our results reveal patterns of traveltime changes in the measured \{GPR\} data, which are associated with soil moisture changes. As distinct horizons are present at our site, such changes can be quantified and transferred into changes in total soil moisture content. Our soil moisture estimates are similar to the amount of infiltrated water, which confirms our experimental approach and makes us confident for further developing this strategy, especially, with respect to improving the temporal and spatial resolution. },
doi = {10.1016/j.jappgeo.2015.04.016},
keywords = {Ground penetrating radar},
owner = {huber},
timestamp = {2016.07.17},
}
@Article{allroggen&tronicke:2016,
author = {Niklas Allroggen and Jens Tronicke},
title = {Attribute-based analysis of time-lapse ground-penetrating radar data},
journal = {GEOPHYSICS},
year = {2016},
volume = {81},
number = {1},
pages = {H1-H8},
doi = {10.1190/geo2015-0171.1},
owner = {huber},
timestamp = {2016.07.17},
}
@Article{ASCEbis:1966,
author = {{American Society of Civil Engineers Task Force on Bed Forms in Alluvial Channels}},
title = {Nomenclature for bedforms in alluvial channels},
journal = {Journal of the Hydraulics Division},
year = {1966},
volume = {92},
pages = {51--64},
abstract = {American Society of Civil Engineers Task Force on Bed Forms in Alluvial Channels, 1966. Nomenclature for bedforms in alluvial channels. Journal of the Hydraulics Division, ASCE, 92, 51-64.},
institution = {Journal of the Hydraulics Division, ASCE},
owner = {emanuel},
timestamp = {2015.05.08},
}
@Article{anderson&al:1999,
author = {M.P Anderson and J.S Aiken and E.K Webb and D.M Mickelson},
title = {Sedimentology and hydrogeology of two braided stream deposits},
journal = {Sedimentary Geology},
year = {1999},
volume = {129},
number = {3--4},
pages = {187--199},
month = {dec},
doi = {10.1016/s0037-0738(99)00015-9},
owner = {emanuel},
publisher = {Elsevier {BV}},
timestamp = {2015.05.05},
}
@Article{anderson:1989,
author = {Anderson, Mary P.},
title = {Hydrogeologic facies models to delineate large--scale spatial trends in glacial and glaciofluvial sediments},
journal = {Geological Society of America Bulletin},
year = {1989},
volume = {101},
number = {4},
pages = {501--511},
abstract = {Recent interest in contaminant transport in ground water has led hydrogeologists to the conclusion that predicting the movement of solutes requires information on the distribution of spatial trends and heterogeneities in porous media. Description of spatial trends has long been of interest to sedimentologists who have produced a large body of geologic information on the subject. In this paper, facies models are used to construct conceptual models of hydrogeologic facies for glacialmeltwater-stream sediment and till. These hydrogeologic facies models, which delineate large-scale trends in heterogeneity, are appropriate for use in designing hydrogeologic field tests and for estimating input to regional ground-water flow and transport models. This paper treats each facies as a homogeneous, anisotropic hydrogeologic unit. The models presented herein conceptualize the hydrogeologic relationships among facies and illustrate one method of converting the apparent chaos in nature into an orderly system that can be tested scientifically and modeled mathematically.The principles used to create conceptual models of hydrogeologic facies for the types of sediment considered in this paper can be extended to other sedimentary environments. It should be recognized, however, that such models do not address the small-scale heterogeneity present within individual facies. Additional basic research is required to measure hydraulic conductivity variation within representative hydrogeologic facies and to develop statistical descriptions to represent the variations. Such detailed descriptions of hydraulic conductivity may be necessary to describe ground-water flow at a local scale for analysis of contaminant transport.},
doi = {10.1130/0016-7606(1989)101<0501:HFMTDL>2.3.CO;2},
owner = {hubere},
timestamp = {2015.04.29},
}
@Article{anderson&al:2013,
author = {Andersson, Fredrik and Duchkov, Anton A.},
title = {Extended structure tensors for multiple directionality estimation},
journal = {Geophysical Prospecting},
year = {2013},
volume = {61},
number = {6},
pages = {1135--1149},
issn = {1365-2478},
abstract = {Standard structure tensors provide a robust way of directionality estimation of waves (or edges) but only for the case when they do not intersect. In this work, a structure tensor extension using a one-way wave equation is proposed as a tool for estimating directionality in seismic data and images in the presence of conflicting dips. Detection of two intersecting waves is possible in a two-dimensional case. In three dimensions both two and three intersecting waves can be detected. Moreover, a method for directionality filtering using the estimated directions is proposed. This method makes use of the ideas of a one-way wave equation but can be applied to generic images not related to wave propagation.},
doi = {10.1111/1365-2478.12067},
keywords = {Structure tensors, One-way wave equation},
owner = {huber},
timestamp = {2016.07.17},
}
@Article{angulo:2014,
author = {Jesus Angulo},
title = {STRUCTURE TENSOR IMAGE FILTERING USING RIEMANNIAN L1 AND L$\infty$ CENTER-OF-MASS},
journal = {Image Analysis \& Stereology},
year = {2014},
volume = {33},
number = {2},
pages = {95--105},
issn = {1854-5165},
abstract = {Structure tensor images are obtained by a Gaussian smoothing of the dyadic product of gradient image. These images give at each pixel a n×n symmetric positive definite matrix SPD(n), representing the local orientation and the edge information. Processing such images requires appropriate algorithms working on the Riemannian manifold on the SPD(n) matrices. This contribution deals with structure tensor image filtering based on Lp geometric averaging. In particular, L1 center-of-mass (Riemannian median or Fermat-Weber point) and L$\infty\$ center-of-mass (Riemannian circumcenter) can be obtained for structure tensors using recently proposed algorithms. Our contribution in this paper is to study the interest of L1 and L$\infty\$ Riemannian estimators for structure tensor image processing. In particular, we compare both for two image analysis tasks: (i) structure tensor image denoising; (ii) anomaly detection in structure tensor images.},
keywords = {Riemannian averaging; Riemannian center-of-mass; structure tensor; tensor image denoising; tensor image enhancement; tensor-valued images},
owner = {huber},
timestamp = {2016.07.24},
}
@InCollection{anan:2009,
author = {A.P. Annan},
title = {Electromagnetic Principles of Ground Penetrating Radar},
booktitle = {Ground Penetrating Radar Theory and Applications},
publisher = {Elsevier},
year = {2009},
editor = {Jol, Harry M.},
pages = {1 - 40},
address = {Amsterdam},
isbn = {978-0-444-53348-7},
doi = {10.1016/B978-0-444-53348-7.00001-6},
groups = {GPR},
owner = {huber},
timestamp = {2016.07.17},
}
@InCollection{annan:2005,
author = {Annan, A. P.},
title = {Ground penetrating radar in near-surface geophysics},
booktitle = {Near-Surface Geophysics, Investigations in Geophysics},
publisher = {Society of Exploration Geophysics},
year = {2005},
editor = {Butler, D. K.},
number = {13},
pages = {357--438},
address = {Tulsa, OK},
isbn = {1-56080-130-1},
owner = {emanuel},
timestamp = {2015.05.28},
}
@Article{hasting:1970,
author = {Hasting, W.K.},
title = {Monte Carlo sampling Methods using Markov chains and their applications},
journal = {Biometrika},
year = {1970},
volume = {51},
number = {1},
pages = {97--109},
owner = {emanuel},
timestamp = {2015.05.14},
}
@Article{ruiu&al:2016,
author = {Ruiu, Jeremy and Caumon, Guillaume and Viseur, Sophie},
title = {Modeling Channel Forms and Related Sedimentary Objects Using a Boundary Representation Based on Non-uniform Rational B-Splines},
journal = {Mathematical Geosciences},
year = {2016},
volume = {48},
number = {3},
pages = {259--284},
month = {Apr},
issn = {1874-8953},
abstract = {This paper aims at providing a flexible and compact volumetric object model capable of representing many sedimentary structures at different scales. Geobodies are defined by a boundary representation; each bounding surface is constructed as a parametric deformable surface. A three-dimensional sedimentary object with a compact parametrization which allows for representing various geometries and provides a curvilinear framework for modeling internal heterogeneities is proposed. This representation is based on non-uniform rational basis splineswhich smoothly interpolate between a set of points. The three-dimensional models of geobodies are generated using a small number of parameters, and hence can be easily modified. This can be done by a point and click user interaction for manual editing or by a Monte-Carlo sampling for stochastic simulation. Each elementary shape is controlled by deformation rules and has connection constraints with associated objects to maintain geometric consistency through editing. The boundary representations of the different sedimentary structures are used to construct hexahedral conformal grids to perform petrophysical property simulations following the particular three-dimensional parametric space of each object. Finally these properties can be upscaled, according to erosion rules, to a global grid that represents the global depositional environment.},
day = {01},
doi = {10.1007/s11004-015-9629-3},
owner = {huber},
publisher = {Springer Nature},
timestamp = {2018.08.03},
}
@Article{sabbione&danilo:2010,
author = {Sabbione, Jaun I. and Velis, Danilo},
title = {Automatic first-breaks picking: New strategies and algorithms},
journal = {Geophysics},
year = {2010},
volume = {75},
number = {4},
pages = {67--76},
issn = {0016-8033},
abstract = {We have developed three methods for the automatic picking of first breaks that can be used for marine, dynamite, or vibroseis shot records: a modified Coppens{\textquoteright}s method, an entropy-based method, and a variogram fractal-dimension method. The techniques are based on the fact that the transition between noise and noise plus signal can be automatically identified by detecting rapid changes in a certain attribute (energy ratio, entropy, or fractal dimension), which we calculate within moving windows along the seismic trace. The application of appropriate edge-preserving smoothing operators to enhance these transitions allowed us to develop an automated strategy that can be used to easily signal the precise location of the first-arrival onset. Furthermore, we propose a mispick-correcting technique to exploit the benefits of the data present in the entire shot record, which allows us to adjust the trace-by-trace picks and to discard picks associated with bad or dead traces. As a result, the consistency of the first-break picks is significantly improved. The methods are robust under noisy conditions, computationally efficient, and easy to apply. Results using dynamite and vibroseis field data show that accurate and consistent picks can be obtained in an automated manner even under the presence of correlated noise, bad traces, pulse changes, and indistinct first breaks.},
doi = {10.1190/1.3463703},
eprint = {http://geophysics.geoscienceworld.org/content/75/4/V67.full.pdf},
owner = {emanuel},
publisher = {Society of Exploration Geophysicists},
timestamp = {2015.06.07},
url = {http://geophysics.geoscienceworld.org/content/75/4/V67},
}
@Comment{jabref-meta: databaseType:bibtex;}
@Comment{jabref-meta: selector_keywords:adjustment;CMP;concept;facies;flood;floodplain connectivity;Gaussian model;geostatistic;GIS;GPR;GPR principles;GPR processing;GPR resolution;gravel sheet;hazard;heterogeneity;history;instability;lidar;markov model;rheology;sediment;shear;stability;}
Raw
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% The essential feature is that the label (the part in brackets) consists
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% \citep{key} ==>> (Jones et al., 1990)
% \citep*{key} ==>> (Jones, Baker, and Smith, 1990)
% \citep[chap. 2]{key} ==>> (Jones et al., 1990, chap. 2)
% \citep[e.g.][]{key} ==>> (e.g. Jones et al., 1990)
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% \citeyear{key} ==>> 1990
%---------------------------------------------------------------------
ENTRY
{ address
author
booktitle
chapter
doi
edition
editor
howpublished
institution
isbn
issn
journal
key
% month
% note
number
organization
pages
publisher
school
series
title
type
url
volume
year
}
{}
{ label extra.label sort.label short.list }
INTEGERS { output.state before.all mid.sentence after.sentence
after.block after.colonphrase after.replacecomma}
FUNCTION {init.state.consts}
{ #0 'before.all :=
#1 'mid.sentence :=
#2 'after.sentence :=
#3 'after.block :=
#4 'after.colonphrase :=
#5 'after.replacecomma :=
}
STRINGS { s t }
FUNCTION {add.colon}
{
add.period$ duplicate$
#-1 #1 substring$ "." =
{#-2 global.max$ substring$ ": " *}
'skip$
if$
}
FUNCTION {add.replacecomma}
{
add.period$ duplicate$
#-1 #1 substring$ "." =
{#-2 global.max$ substring$ ", " *}
'skip$
if$
}
FUNCTION {output.nonnull}
{ 's :=
output.state mid.sentence =
{ ", " * write$ }
{ output.state after.replacecomma =
{add.replacecomma " " * write$ }
{ output.state after.colonphrase =
{ add.colon " " * write$ }
{ output.state after.block =
{ add.period$ write$
newline$
"\newblock " write$
}
{ output.state before.all =
'write$
{ add.period$ " " * write$ }
if$
}
if$
}
if$
}
if$
mid.sentence 'output.state :=
}
if$
s
}
FUNCTION {output}
{ duplicate$ empty$
'pop$
'output.nonnull
if$
}
FUNCTION {output.check}
{ 't :=
duplicate$ empty$
{ pop$ "empty " t * " in " * cite$ * warning$ }
'output.nonnull
if$
}
FUNCTION {fin.entry}
{ add.period$
write$
newline$
}
FUNCTION {new.block}
{ output.state before.all =
'skip$
{ after.block 'output.state := }
if$
}
FUNCTION {new.sentence}
{ output.state after.block =
'skip$
{ output.state before.all =
'skip$
{ output.state after.colonphrase =
'skip$
{after.sentence 'output.state := }
if$
}
if$
}
if$
}
FUNCTION {new.colonphrase}
{ after.colonphrase 'output.state := }
FUNCTION {new.midsentence}
{ mid.sentence 'output.state :=}
%SP 2003/07/25
% No longer used
FUNCTION {add.blank}
{ " " * before.all 'output.state :=
}
FUNCTION {date.block}
{
add.blank
% new.sentence
}
FUNCTION {not}
{ { #0 }
{ #1 }
if$
}
FUNCTION {and}
{ 'skip$
{ pop$ #0 }
if$
}
FUNCTION {or}
{ { pop$ #1 }
'skip$
if$
}
INTEGERS { index length }
STRINGS { str1 str2 char }
% source:
% https://github.com/matthieu-vergne/LaTeX/blob/master/apalike-refs.bst
FUNCTION {escape.url.characters}
{
duplicate$ text.length$
'length :=
""
{
'str1 :=
duplicate$
empty$ not
}
{
'str2 :=
str2 #1 #1 substring$
'char :=
char "_" =
{ str1 "\" * char * }
{ str1 char * }
if$
'str1 :=
str2 #2 length #1 - substring$
str1
}
while$
pop$
str1
}
FUNCTION {new.block.checkb}
{ empty$
swap$ empty$
and
'skip$
'new.block
if$
}
FUNCTION {field.or.null}
{ duplicate$ empty$
{ pop$ "" }
'skip$
if$
}
FUNCTION {emphasize}
{ skip$ }
FUNCTION {italica}
{ duplicate$ empty$
{ pop$ "" }
{ "{\it " swap$ * "}" * }
if$
}
FUNCTION {bolden}
{ duplicate$ empty$
{ pop$ "" }
{ "{\bf " swap$ * "}" * }
if$
}
FUNCTION {capitalize}
{ "u" change.case$ "t" change.case$ }
FUNCTION {space.word}
{ " " swap$ * " " * }
% Here are the language-specific definitions for explicit words.
% Each function has a name bbl.xxx where xxx is the English word.
% The language selected here is ENGLISH
FUNCTION {bbl.and}
{ "and"}
FUNCTION {bbl.etal}
{ "et~al." }
FUNCTION {bbl.editors}
{ "Eds.\ " }
FUNCTION {bbl.editor}
{ "Ed.\ " }
FUNCTION {bbl.edby}
{ "edited by" }
FUNCTION {bbl.edition}
{ "Edition" }
FUNCTION {bbl.bvolume}
{ "volume" }
FUNCTION {bbl.volume}
{ "" }
FUNCTION {bbl.of}
{ "of" }
FUNCTION {bbl.number}
{ "no." }
FUNCTION {bbl.nr}
{ "no." }
FUNCTION {bbl.in}
{ "In:" }
FUNCTION {bbl.pages}
{ "pp." }
FUNCTION {bbl.page}
{ "" }
FUNCTION {bbl.chapter}
{ "Ch." }
FUNCTION {bbl.techrep}
{ "Tech. Rep." }
FUNCTION {bbl.mthesis}
{ "Master's thesis" }
FUNCTION {bbl.phdthesis}
{ "Ph.D. thesis" }
FUNCTION {bbl.first}
{ "1st" }
FUNCTION {bbl.second}
{ "2nd" }
FUNCTION {bbl.third}
{ "3rd" }
FUNCTION {bbl.fourth}
{ "4th" }
FUNCTION {bbl.fifth}
{ "5th" }
FUNCTION {bbl.st}
{ "st" }
FUNCTION {bbl.nd}
{ "nd" }
FUNCTION {bbl.rd}
{ "rd" }
FUNCTION {bbl.th}
{ "th" }
MACRO {jan} {"Jan."}
MACRO {feb} {"Feb."}
MACRO {mar} {"Mar."}
MACRO {apr} {"Apr."}
MACRO {may} {"May"}
MACRO {jun} {"Jun."}
MACRO {jul} {"Jul."}
MACRO {aug} {"Aug."}
MACRO {sep} {"Sep."}
MACRO {oct} {"Oct."}
MACRO {nov} {"Nov."}
MACRO {dec} {"Dec."}
FUNCTION {eng.ord}
{ duplicate$ "1" swap$ *
#-2 #1 substring$ "1" =
{ bbl.th * }
{ duplicate$ #-1 #1 substring$
duplicate$ "1" =
{ pop$ bbl.st * }
{ duplicate$ "2" =
{ pop$ bbl.nd * }
{ "3" =
{ bbl.rd * }
{ bbl.th * }
if$
}
if$
}
if$
}
if$
}
MACRO {acmcs} {"ACM Comput. Surv."}
MACRO {acta} {"Acta Inf."}
MACRO {cacm} {"Commun. ACM"}
MACRO {ibmjrd} {"IBM J. Res. Dev."}
MACRO {ibmsj} {"IBM Syst.~J."}
MACRO {ieeese} {"IEEE Trans. Softw. Eng."}
MACRO {ieeetc} {"IEEE Trans. Comput."}
MACRO {ieeetcad}
{"IEEE Trans. Comput.-Aided Design Integrated Circuits"}
MACRO {ipl} {"Inf. Process. Lett."}
MACRO {jacm} {"J.~ACM"}
MACRO {jcss} {"J.~Comput. Syst. Sci."}
MACRO {scp} {"Sci. Comput. Programming"}
MACRO {sicomp} {"SIAM J. Comput."}
MACRO {tocs} {"ACM Trans. Comput. Syst."}
MACRO {tods} {"ACM Trans. Database Syst."}
MACRO {tog} {"ACM Trans. Gr."}
MACRO {toms} {"ACM Trans. Math. Softw."}
MACRO {toois} {"ACM Trans. Office Inf. Syst."}
MACRO {toplas} {"ACM Trans. Prog. Lang. Syst."}
MACRO {tcs} {"Theoretical Comput. Sci."}
%%%%%%%%%%%%%%%%
FUNCTION {write.url}
{ url empty$
{ skip$ }
{ "\newline\href{" url * "}{" * url escape.url.characters * "}" * write$ newline$ }
if$
}
FUNCTION {write.doi}
{ doi empty$
{ skip$ }
%{ "\newline\doi{" doi escape.url.characters * "}" * write$ newline$ }
{ "\newline doi: \href{http://dx.doi.org/" doi * "}{" * doi escape.url.characters * "}" * write$ newline$ }
if$
}
FUNCTION {write.isbn}
{ isbn empty$
{ skip$ }
{ "\newline\isbn{" isbn * "}" * write$ newline$ }
if$
}
FUNCTION {write.doi.isbn}
{ doi empty$
{ isbn empty$
{ skip$ }
{ "\newline\isbn{" isbn * "}" * write$ newline$ }
if$
}
{ "\newline doi: \href{http://dx.doi.org/" doi * "}{" * doi escape.url.characters * "}" * write$ newline$ }
% { "\newline\doi{" doi * "}" * write$ newline$ }
if$
}
%FUNCTION { format.isbn.issn }
%{ isbn empty$
% { issn empty$
% { "" }
% { "ISSN" issn n.dashify.plain tie.or.space.connect }
% if$
% }
% { "ISBN" isbn n.dashify.plain tie.or.space.connect }
% if$
%}
INTEGERS { nameptr namesleft numnames }
FUNCTION {format.names}
{ 's :=
#1 'nameptr :=
s num.names$ 'numnames :=
numnames 'namesleft :=
{ namesleft #0 > }
{ s nameptr
% "{vv~}{ll}{, jj}{, f.}" format.name$
"{vv~}{ll}{ jj}{ f{.}.}" format.name$
't :=
nameptr #1 >
{
namesleft #1 >
{ ", " * t * }
{
" " *
% if your need "," in front of final name.
% ", " *
s nameptr "{ll}" format.name$ duplicate$ "others" =
{ 't := }
{ pop$ }
if$
t "others" =
{
" " * bbl.etal *
}
{ " {\mdseries and} " * t * }
% before the last person, add `and'
if$
}
if$
}
't
if$
nameptr #1 + 'nameptr :=
namesleft #1 - 'namesleft :=
}
while$
}
FUNCTION {format.names.ed}
{ 's :=
#1 'nameptr :=
s num.names$ 'numnames :=
numnames 'namesleft :=
{ namesleft #0 > }
{ s nameptr
% "{f.~}{vv~}{ll}{, jj}" format.name$ XXX
"{f{.}.~}{vv~}{ll}{ jj}" format.name$
't :=
nameptr #1 >
{
namesleft #1 >
{ ", " * t * }
{
" " *
% if your need "," in front of final name.
% ", " *
s nameptr "{ll}" format.name$ duplicate$ "others" =
{ 't := }
{ pop$ }
if$
t "others" =
{
" " * bbl.etal *
}
{ " and " * t * }
% before the last person, add `and'
if$
}
if$
}
't
if$
nameptr #1 + 'nameptr :=
namesleft #1 - 'namesleft :=
}
while$
}
FUNCTION {format.key}
{ empty$
{ key field.or.null }
{ "" }
if$
}
FUNCTION {format.authors}
{ author empty$
{ "" }
{ author format.names %
"{\bf " swap$ * "}" *
}
if$
}
FUNCTION {format.editors}
{ editor empty$
{ "" }
{ editor format.names
editor num.names$ #1 >
{ " (" * bbl.editors * ")" * }
{ " (" * bbl.editor * ")" * }
if$
}
if$
}
FUNCTION {format.in.editors}
{ editor empty$
{ "" }
{ editor format.names.ed
editor num.names$ #1 >
{ bbl.editors swap$ * ")" * " (" swap$ *}
{ bbl.editor swap$ * ")" * " (" swap$ *}
if$
}
if$
}
%FUNCTION {format.doi} % XXX
%{ doi empty$
% { "" }
% {
% new.block
% "\doi{" doi * "}" *
% }
% if$
%}
%FUNCTION {format.note}
%{
% note empty$
% { "" }
% { note #1 #1 substring$
% duplicate$ "{" =
% 'skip$
% { output.state mid.sentence =
% { "l" }
% { "u" }
% if$
% change.case$
% }
% if$
% note #2 global.max$ substring$ *
% }
% if$
%}
FUNCTION {format.title}
{
title empty$
{ "" }
%{ title "t" change.case$
{title
}
if$
}
FUNCTION {format.full.names}
{'s :=
#1 'nameptr :=
s num.names$ 'numnames :=
numnames 'namesleft :=
{ namesleft #0 > }
{ s nameptr
"{vv~}{ll}" format.name$
't :=
nameptr #1 >
{
namesleft #1 >
{ ", " * t * }
{
numnames #2 >
{ "," * }
'skip$
if$
s nameptr "{ll}" format.name$ duplicate$ "others" =
{ 't := }
{ pop$ }
if$
t "others" =
{
" " * bbl.etal *
}
{ bbl.and
space.word * t *
}
if$
}
if$
}
't
if$
nameptr #1 + 'nameptr :=
namesleft #1 - 'namesleft :=
}
while$
}
FUNCTION {author.editor.key.full}
{ author empty$
{ editor empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ editor format.full.names }
if$
}
{ author format.full.names }
if$
}
FUNCTION {author.key.full}
{ author empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ author format.full.names }
if$
}
FUNCTION {editor.key.full}
{ editor empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ editor format.full.names }
if$
}
FUNCTION {make.full.names}
{ type$ "book" =
type$ "inbook" =
or
'author.editor.key.full
{ type$ "proceedings" =
'editor.key.full
'author.key.full
if$
}
if$
}
FUNCTION {output.bibitem}
{ newline$
"\bibitem[{" write$
label write$
")" make.full.names duplicate$ short.list =
{ pop$ }
{ * }
if$
"}]{" * write$
cite$ write$
"}" write$
newline$
""
before.all 'output.state :=
}
FUNCTION {n.dashify}
{
't :=
""
{ t empty$ not }
{ t #1 #1 substring$ "-" =
{ t #1 #2 substring$ "--" = not
{ "--" *
t #2 global.max$ substring$ 't :=
}
{ { t #1 #1 substring$ "-" = }
{ "-" *
t #2 global.max$ substring$ 't :=
}
while$
}
if$
}
{ t #1 #1 substring$ *
t #2 global.max$ substring$ 't :=
}
if$
}
while$
}
FUNCTION {word.in}
{ "{" bbl.in *
"} " * }
FUNCTION {format.date}
{ year duplicate$ empty$
{ "empty year in " cite$ * "; set to ????" * warning$
pop$ "????" }
'skip$
% if$
% month empty$
% 'skip$
% { month
% " " * swap$ *
% }
if$
extra.label *
before.all 'output.state :=
" (" swap$ * ")" *
}
FUNCTION {format.btitle}
{
title italica
}
FUNCTION {tie.or.space.connect}
{ duplicate$ text.length$ #3 <
{ "~" }
{ " " }
if$
swap$ * *
}
FUNCTION {either.or.check}
{ empty$
'pop$
{ "can't use both " swap$ * " fields in " * cite$ * warning$ }
if$
}
FUNCTION {format.bvolume}
{ volume empty$
{ "" }
{ bbl.bvolume volume tie.or.space.connect
series empty$
'skip$
{ bbl.of space.word * series emphasize * }
if$
"volume and number" number either.or.check
}
if$
}
FUNCTION {format.number.series}
{ volume empty$
{ number empty$
{ series italica field.or.null }
{ output.state mid.sentence =
{ "" }
{ "" }
if$
series empty$
{ "there's a number but no series in " cite$ * warning$ }
{ series italica * "," * number bolden tie.or.space.connect
}
if$
}
if$
}
{ "" }
if$
}
FUNCTION {is.num}
{ chr.to.int$
duplicate$ "0" chr.to.int$ < not
swap$ "9" chr.to.int$ > not and
}
FUNCTION {extract.num}
{ duplicate$ 't :=
"" 's :=
{ t empty$ not }
{ t #1 #1 substring$
t #2 global.max$ substring$ 't :=
duplicate$ is.num
{ s swap$ * 's := }
{ pop$ "" 't := }
if$
}
while$
s empty$
'skip$
{ pop$ s }
if$
}
FUNCTION {convert.edition}
{ edition extract.num "l" change.case$ 's :=
s "first" = s "1" = or
{ bbl.first 't := }
{ s "second" = s "2" = or
{ bbl.second 't := }
{ s "third" = s "3" = or
{ bbl.third 't := }
{ s "fourth" = s "4" = or
{ bbl.fourth 't := }
{ s "fifth" = s "5" = or
{ bbl.fifth 't := }
{ s #1 #1 substring$ is.num
{ s eng.ord 't := }
{ edition 't := }
if$
}
if$
}
if$
}
if$
}
if$
}
if$
t
}
FUNCTION {format.edition}
{ edition empty$
{ "" }
{ output.state mid.sentence =
{ convert.edition "l" change.case$ " " * bbl.edition * }
{ convert.edition "t" change.case$ " " * bbl.edition * }
if$
}
if$
}
INTEGERS { multiresult }
FUNCTION {multi.page.check}
{ 't :=
#0 'multiresult :=
{ multiresult not
t empty$ not
and
}
{ t #1 #1 substring$
duplicate$ "-" =
swap$ duplicate$ "," =
swap$ "+" =
or or
{ #1 'multiresult := }
{ t #2 global.max$ substring$ 't := }
if$
}
while$
multiresult
}
FUNCTION {format.pages}
{ pages empty$
{ "" }
{ pages multi.page.check
{ bbl.page pages n.dashify tie.or.space.connect }
{ pages bbl.page tie.or.space.connect }
if$
}
if$
}
FUNCTION {format.journal.pages}
{ pages empty$
'skip$
{ duplicate$ empty$
{ pop$ format.pages }
{
": " * bbl.page * % XXX
pages n.dashify tie.or.space.connect
}
if$
}
if$
}
FUNCTION {format.book.pages}
{ pages empty$
{ "" }
{ pages "~pp." * }
if$
}
%SP 2001/01/23
% Only used in articles
FUNCTION {format.vol.num.pages}
{
%SP 2001/01/23
% Add the leading space only if there is a volume
% volume field.or.null
""
volume empty$
{ pop$ ""
}
{ ", " * bbl.volume * "{\bf " * volume tie.or.space.connect "}" * }
if$
number empty$
'skip$
{
% ", " * bbl.number * number tie.or.space.connect XXX
"(" * number * ")" *
volume empty$
{ "there's a number but no volume in " cite$ * warning$ }
'skip$
if$
}
if$
}
FUNCTION {format.chapter.pages}
{ chapter empty$
{ "" }
{ type empty$
{ bbl.chapter }
{ type "l" change.case$ }
if$
chapter tie.or.space.connect
}
if$
}
FUNCTION {format.in.ed.booktitle}
{ booktitle empty$
{ "" }
{ editor empty$
{ word.in booktitle * }
{ word.in booktitle italica * format.in.editors * ", " * }
if$
}
if$
% after.colonphrase 'output.state :=
after.replacecomma 'output.state :=
}
FUNCTION {format.thesis.type}
{ type empty$
'skip$
{ pop$
type "t" change.case$
}
if$
}
FUNCTION {format.tr.number}
{ type empty$
{ bbl.techrep }
'type
if$
number empty$
{ "t" change.case$ }
{ number tie.or.space.connect }
if$
}
FUNCTION {format.article.crossref}
{
word.in
" \cite{" * crossref * "}" *
}
FUNCTION {format.book.crossref}
{ volume empty$
{ "empty volume in " cite$ * "'s crossref of " * crossref * warning$
word.in
}
{ bbl.volume capitalize
volume tie.or.space.connect
bbl.of space.word *
}
if$
" \cite{" * crossref * "}" *
}
FUNCTION {format.incoll.inproc.crossref}
{
word.in
" \cite{" * crossref * "}" *
}
FUNCTION {format.org.or.pub}
{ 't :=
""
address empty$ t empty$ and
'skip$
{
t empty$
{ address empty$
'skip$
{ address * }
if$
}
{ t *
address empty$
'skip$
{ ", " * address * }
if$
}
if$
}
if$
}
FUNCTION {format.publisher.address}
{ publisher empty$
{ "empty publisher in " cite$ * warning$
""
}
{ publisher }
if$
format.org.or.pub
}
FUNCTION {format.organization.address}
{ organization empty$
{ "" }
{ organization }
if$
format.org.or.pub
}
FUNCTION {article}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.block
crossref missing$
{ journal
italica "journal" output.check
%SP 2001/01/23
% Add the space in format.vol.num.pages
% add.blank
before.all 'output.state :=
format.vol.num.pages output
}
{ format.article.crossref output.nonnull
format.pages output
}
if$
format.journal.pages
%format.doi output
% new.block
%format.note output % XXX
fin.entry
write.doi % XXX
}
FUNCTION {book}
{ output.bibitem
author empty$
{ format.editors "author and editor" output.check
editor format.key output
}
{ format.authors output.nonnull
crossref missing$
{ "author and editor" editor either.or.check }
'skip$
if$
}
if$
format.date "year" output.check
date.block
format.btitle "title" output.check
new.colonphrase
crossref missing$
{ format.edition output
new.sentence
format.bvolume output
format.number.series output
new.sentence
format.publisher.address output
}
{
new.sentence
format.book.crossref output.nonnull
}
if$
format.book.pages output
% format.note output
fin.entry
% write.url
write.isbn
}
FUNCTION {booklet}
{ output.bibitem
format.authors output
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.colonphrase
howpublished output
address output
%format.note output
fin.entry
write.url
}
FUNCTION {inbook}
{ output.bibitem
author empty$
{ format.editors "author and editor" output.check
editor format.key output
}
{ format.authors output.nonnull
crossref missing$
{ "author and editor" editor either.or.check }
'skip$
if$
}
if$
format.date "year" output.check
date.block
format.btitle "title" output.check
new.colonphrase
crossref missing$
{
format.edition output
new.sentence
format.bvolume output
format.number.series output
new.sentence
format.publisher.address output
format.chapter.pages "chapter and pages" output.check
}
{
format.chapter.pages "chapter and pages" output.check
new.sentence
format.book.crossref output.nonnull
}
if$
format.pages "pages" output.check
%format.note output
fin.entry
write.isbn
% write.url
}
FUNCTION {incollection}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
crossref missing$
{ format.in.ed.booktitle "booktitle" output.check
% new.midsentence
% new.block
% new.colonphrase
add.blank
format.edition output
format.bvolume output
format.publisher.address output
format.number.series output
format.chapter.pages output
}
{ format.incoll.inproc.crossref output.nonnull
format.chapter.pages output
}
if$
format.pages "pages" output.check
% format.note output % MANU
fin.entry
write.doi.isbn
% write.url
}
FUNCTION {inproceedings}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.midsentence
crossref missing$
{ format.in.ed.booktitle "booktitle" output.check
% new.midsentence
% new.block
% new.colonphrase
add.blank
format.edition output
format.bvolume output
format.number.series output
publisher empty$
{ format.organization.address output }
{ organization output
format.publisher.address output
}
if$
}
{ format.incoll.inproc.crossref output.nonnull
}
if$
format.pages "pages" output.check
%format.note output
fin.entry
write.url
}
FUNCTION {conference} { inproceedings }
FUNCTION {manual}
{ output.bibitem
format.authors output
author format.key output
format.date "year" output.check
date.block
format.btitle "title" output.check
new.sentence
organization output
address output
format.edition output
%format.note output
fin.entry
write.url
}
FUNCTION {mastersthesis}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.sentence
bbl.mthesis format.thesis.type output.nonnull
school "school" output.check
address output
%format.note output
fin.entry
write.url
}
FUNCTION {misc}
{ output.bibitem
format.authors output
author format.key output
format.date "year" output.check
date.block
format.title output
new.sentence
howpublished output
%format.note output
fin.entry
write.url
}
FUNCTION {phdthesis}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.sentence
bbl.phdthesis format.thesis.type output.nonnull
school "school" output.check
address output
%format.note output
fin.entry
write.url
}
FUNCTION {proceedings}
{ output.bibitem
format.editors output
editor format.key output
format.date "year" output.check
date.block
format.btitle "title" output.check
new.sentence
format.bvolume output
format.number.series output
new.sentence
publisher empty$
{ format.organization.address output }
{ organization output
format.publisher.address output
}
if$
%format.note output
fin.entry
write.url
}
FUNCTION {techreport}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
new.sentence
format.tr.number output.nonnull
institution "institution" output.check
address output
%format.note output
fin.entry
write.url
}
FUNCTION {unpublished}
{ output.bibitem
format.authors "author" output.check
author format.key output
format.date "year" output.check
date.block
format.title "title" output.check
%format.note "note" output.check
fin.entry
write.url
}
FUNCTION {default.type} { misc }
READ
FUNCTION {sortify}
{ purify$
"l" change.case$
}
INTEGERS { len }
FUNCTION {chop.word}
{ 's :=
'len :=
s #1 len substring$ =
{ s len #1 + global.max$ substring$ }
's
if$
}
FUNCTION {format.lab.names}
{ 's :=
s #1 "{vv~}{ll}" format.name$
s num.names$ duplicate$
#2 >
{ pop$
" " * bbl.etal *
}
{ #2 <
'skip$
{ s #2 "{ff }{vv }{ll}{ jj}" format.name$ "others" =
{
" " * bbl.etal *
}
{ bbl.and space.word * s #2 "{vv~}{ll}" format.name$
* }
if$
}
if$
}
if$
}
FUNCTION {author.key.label}
{ author empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ author format.lab.names }
if$
}
FUNCTION {author.editor.key.label}
{ author empty$
{ editor empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ editor format.lab.names }
if$
}
{ author format.lab.names }
if$
}
FUNCTION {editor.key.label}
{ editor empty$
{ key empty$
{ cite$ #1 #3 substring$ }
'key
if$
}
{ editor format.lab.names }
if$
}
FUNCTION {calc.short.authors}
{ type$ "book" =
type$ "inbook" =
or
'author.editor.key.label
{ type$ "proceedings" =
'editor.key.label
'author.key.label
if$
}
if$
'short.list :=
}
FUNCTION {calc.label}
{ calc.short.authors
short.list
"("
*
year duplicate$ empty$
{ pop$ "????" }
'skip$
if$
*
'label :=
}
FUNCTION {sort.format.names}
{ 's :=
#1 'nameptr :=
""
s num.names$ 'numnames :=
numnames 'namesleft :=
{ namesleft #0 > }
{ s nameptr
"{vv{ } }{ll{ }}{ f{ }}{ jj{ }}"
format.name$ 't :=
nameptr #1 >
{
" " *
namesleft #1 = t "others" = and
{ "zzzzz" * }
{ t sortify * }
if$
}
{ t sortify * }
if$
nameptr #1 + 'nameptr :=
namesleft #1 - 'namesleft :=
}
while$
}
FUNCTION {sort.format.title}
{ 't :=
"A " #2
"An " #3
"The " #4 t chop.word
chop.word
chop.word
sortify
#1 global.max$ substring$
}
FUNCTION {author.sort}
{ author empty$
{ key empty$
{ "to sort, need author or key in " cite$ * warning$
""
}
{ key sortify }
if$
}
{ author sort.format.names }
if$
}
FUNCTION {author.editor.sort}
{ author empty$
{ editor empty$
{ key empty$
{ "to sort, need author, editor, or key in " cite$ * warning$
""
}
{ key sortify }
if$
}
{ editor sort.format.names }
if$
}
{ author sort.format.names }
if$
}
FUNCTION {editor.sort}
{ editor empty$
{ key empty$
{ "to sort, need editor or key in " cite$ * warning$
""
}
{ key sortify }
if$
}
{ editor sort.format.names }
if$
}
FUNCTION {presort}
{ calc.label
label sortify
" "
*
type$ "book" =
type$ "inbook" =
or
'author.editor.sort
{ type$ "proceedings" =
'editor.sort
'author.sort
if$
}
if$
#1 entry.max$ substring$
'sort.label :=
sort.label
*
" "
*
title field.or.null
sort.format.title
*
#1 entry.max$ substring$
'sort.key$ :=
}
ITERATE {presort}
SORT
STRINGS { last.label next.extra }
INTEGERS { last.extra.num number.label }
FUNCTION {initialize.extra.label.stuff}
{ #0 int.to.chr$ 'last.label :=
"" 'next.extra :=
#0 'last.extra.num :=
#0 'number.label :=
}
FUNCTION {forward.pass}
{ last.label label =
{ last.extra.num #1 + 'last.extra.num :=
last.extra.num int.to.chr$ 'extra.label :=
}
{ "a" chr.to.int$ 'last.extra.num :=
"" 'extra.label :=
label 'last.label :=
}
if$
number.label #1 + 'number.label :=
}
FUNCTION {reverse.pass}
{ next.extra "b" =
{ "a" 'extra.label := }
'skip$
if$
extra.label 'next.extra :=
extra.label
duplicate$ empty$
'skip$
{ "{\natexlab{" swap$ * "}}" * }
if$
'extra.label :=
label extra.label * 'label :=
}
EXECUTE {initialize.extra.label.stuff}
ITERATE {forward.pass}
REVERSE {reverse.pass}
FUNCTION {bib.sort.order}
{ sort.label
" "
*
year field.or.null sortify
*
" "
*
title field.or.null
sort.format.title
*
#1 entry.max$ substring$
'sort.key$ :=
}
ITERATE {bib.sort.order}
SORT
FUNCTION {begin.bib}
{ preamble$ empty$
'skip$
{ preamble$ write$ newline$ }
if$
"\begin{thebibliography}{" number.label int.to.str$ * "}" *
%write$ newline$
%"\providecommand{\doi}[1]{doi:\discretionary{}{}{}\href{http://dx.doi.org/#1}{#1}}" % XXX
write$ newline$
"\providecommand{\isbn}[1]{ISBN:\discretionary{}{}{}#1}" % XXX
write$ newline$
% "\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi"
% write$ newline$
"\expandafter\ifx\csname url\endcsname\relax"
write$ newline$
" \def\url#1{\texttt{#1}}\fi"
write$ newline$
"\expandafter\ifx\csname urlprefix\endcsname\relax\def\urlprefix{URL }\fi"
write$ newline$
}
EXECUTE {begin.bib}
EXECUTE {init.state.consts}
ITERATE {call.type$}
FUNCTION {end.bib}
{ newline$
"\end{thebibliography}" write$ newline$
}
EXECUTE {end.bib}
%% End of customized bst file
%%
%% End of file `elsart-harv.bst'.
Raw
nice_article_v0.01.sty
\NeedsTeXFormat{LaTeX2e}
\ProvidesPackage{nice_article_v0.01}[2016/10/08]
% \eg
% \ie
% \logN
% \degree
% \abs{}
% \norm{}
% \abs*{} and \norm*{} do not resizes the size of the brackets
% \superscript{}
% \subscript{}
% \acro{}
% \tr $A^\tr$
% \argmin{}
% \argmax{}
% \begin{itemize*}
% \lstinputpath{}
% \greybox{}
% \adress
% \keywords
% \Abstract
% \Date
% \Category
% \usepackage{fourier}
\usepackage[utf8]{inputenc}
%\usepackage[bitstream-charter]{mathdesign}
\usepackage[T1]{fontenc} % codage des fontes tex
\usepackage[scaled]{helvet}
\usepackage{lmodern}
\newcommand{\chapterfont}{%
\fontencoding{\encodingdefault}%
\fontfamily{phv}% pzcmi pag cmbr antt
\fontseries{b}%
\fontshape{n}%
\selectfont}
\newcommand{\chapterfontnumber}{%
\fontencoding{\encodingdefault}%
\fontfamily{pnc}% pzcmi pag cmbr antt
\fontseries{b}%
\fontshape{n}%
\selectfont}
\newcommand{\sectionfont}{%
\fontencoding{\encodingdefault}%
\fontfamily{phv}% pzcmi pag cmbr antt
\fontseries{b}%
\fontshape{n}%
\selectfont}
\newcommand{\sectionTocfont}{%
\fontencoding{\encodingdefault}%
\fontfamily{phv}% pzcmi pag cmbr antt
\fontseries{m}%
\fontshape{n}%
\selectfont}
\usepackage{microtype}
%\usepackage[letterspace=400]{microtype}
\usepackage{textcomp} % mehr Sonderzeichen
\usepackage{calc}
\usepackage{color} % Farbiger Text etc.
\usepackage[x11names,usenames,dvipsnames]{xcolor}
\usepackage[breakable, theorems, skins]{tcolorbox}
\tcbset{enhanced}
%\RequirePackage[utf8]{inputenc}
%\RequirePackage[bitstream-charter]{mathdesign}
%\RequirePackage{sansmath}
%\RequirePackage[T1]{fontenc} % codage des fontes tex
%\RequirePackage[scaled]{helvet}
%\RequirePackage{eucal} % font mathcal
\usepackage{caption}
\usepackage{lipsum}
\usepackage{multicol}
\usepackage[a4paper,margin=.9in]{geometry}
%\usepackage[x11names, table,usenames,dvipsnames]{xcolor}
\definecolor{palette2}{RGB}{235,249,249}
\usepackage[english]{babel}
\usepackage{ragged2e}
\usepackage{array}
\usepackage{fancyhdr}
\usepackage{etoolbox}
\usepackage{natbib}
%\usepackage{color} % Farbiger Text etc.
%\usepackage[many]{tcolorbox}
\usepackage{xspace}
\usepackage{csquotes}
\usepackage{float}
\usepackage{parskip}
\usepackage{pifont}
%----- math -----
\usepackage{amsmath,amsfonts,mathrsfs,mathtools,amssymb}
%amssymb,amsmath
%\let\mathbb\undefined % delete the command definition
%\usepackage{amssymb} %% The amssymb package provides various useful mathematical symbols
\usepackage{amsthm} %% The amsthm package provides extended theorem environments
\usepackage{listings}
%\RequirePackage{bbold}
\usepackage{url}
\usepackage{ifpdf} %pour pouvoir utiliser la fonction \ifpdf
\ifpdf
% exemple of use of package hyperref
\usepackage[pdftex, % Paramétrage de l a navi g a t i on
bookmarks = true , % Signets
bookmarksnumbered = true , % Signets numérotés
pdfpagemode = UseOutlines , % Signets / vignettes fermé à l'ouverture
pdfstartview = FitH , % La page prend toute la largeur
pdfpagelayout = OneColumn,% Vue par page
colorlinks = true , % Liens en couleur
urlcolor = blue , % Couleur des liens externes
linkcolor = darkblue, % Couleur des liens internes
citecolor = darkblue, % Couleur des citations
%pdfborder = {0 0 0} % Style de bordure, ici rien!
]{hyperref} % utilisation d'hypertext
\fi
\makeatletter
\newtcolorbox{measurebox}[2][]{blank,parbox=false,
overlay={\xdef#2{\tcb@height}},
#1}
\makeatother
\newcommand{\headrulecolor}[1]{\patchcmd{\headrule}{\hrule}{\color{#1}\hrule}{}{}}
\makeatletter
\newcommand\adress[1]{\renewcommand\@adress{#1}}
\newcommand\@adress{}
\newcommand\keywords[1]{\renewcommand\@keywords{#1}}
\newcommand\@keywords{}
\newcommand\Abstract[1]{\renewcommand\@Abstract{#1}}
\newcommand\@Abstract{}
\newcommand\Date[1]{\renewcommand\@Date{#1}}
\newcommand\@Date{}
\newcommand\Category[1]{\renewcommand\@Category{#1}}
\newcommand\@Category{}
\fancypagestyle{plain}{
\fancyhf{}
\headrulecolor{lightgray}
\lhead{\textit{\scriptsize\@Category}}
%\chead{\textit{\scriptsize\{\@Date}}}
\rhead{\textit{\scriptsize\@Date}}
\renewcommand{\headrulewidth}{.5pt}
}
% \fancyhf{}
% \headrulecolor{lightgray}
%
% \renewcommand{\headrulewidth}{.5pt}
%% \fancyhead[LE,RO]{\slshape \rightmark}
%% \fancyhead[LO,RE]{\slshape \leftmark}
%% \fancyfoot[C]{\thepage}
%
%}
%\renewcommand{\@title}[1]{ \markboth{#1}{} }
%\renewcommand{\sectionmark}[1]{ \markright{#1}{} }
%\renewcommand{\headrulewidth}{0.5pt}
%\renewcommand{\footrulewidth}{0pt}
%\headrulecolor{lightgray}
%\setlength\parindent\z@
%\newcommand*\docparspacing{
%\setlength\parindent{16pt}
%\setlength\parskip{90pt}
%}
\makeatother
\makeatletter
\def\@maketitle{%
% % \begin{measurebox}{\myheight}
%\raisebox{3.5ex}{\hbadness=9999
%\colorbox{palette2}{\vrule width 0pt height 5.8ex \begin{tabular}{>{\RaggedRight\arraybackslash}p{\dimexpr.3\linewidth-\tabcolsep} >{\centering\arraybackslash}p{\dimexpr.35\linewidth-2\tabcolsep} >{\RaggedLeft\arraybackslash}p{\dimexpr.35\linewidth-4.4\tabcolsep}}
%XXX&
%\small{\@date}&
%XXX
%\end{tabular}}}
%\vskip 2ex
%\textcolor{lightgray}{\hrule height .5pt}
%\vskip -4ex
%\textcolor{gray}{\scriptsize\@date}
\vskip 6ex
\Huge{\color{DodgerBlue4}\@title}
\vskip .4ex
\normalsize{\@author} %\hfill \@date
\vskip 1ex
\normalsize{\slshape\@adress}
\vskip 1ex
\normalsize
\vskip .5ex
\valign{%
\hsize=\dimexpr.35\linewidth-2\tabcolsep
\vskip 2ex
##\vfil\nointerlineskip
\vskip 1.5ex
\cr
\noindent{\itshape\footnotesize Keywords}
\vskip -1.5ex
\hbox to\hsize{\color{lightgray}\leaders\hrule height .5pt\hfill}
\vskip 1.5ex
\itshape{%
\@keywords
}\cr
\noalign{\hfill}
\noindent{\itshape\footnotesize ABSTRACT}
\vskip -1.5ex
\hsize=\dimexpr.65\linewidth-2\tabcolsep
\hbox to\hsize{\color{lightgray}\leaders\hrule height .5pt\hfill}
\vskip 1.5ex
\normalsize \@Abstract \cr
}\par
\textcolor{lightgray}{\hrule height .5pt}
% \vskip2ex
%
% \hbox to\linewidth{\color{lightgray}\leaders\hrule height .5pt\hfill}
%\vskip 3ex
%
%\colorbox{palette2}{%
%\begin{minipage}{\dimexpr\textwidth-2\fboxsep}
%\lipsum[1-2]
%\end{minipage}%
%}
%\vskip 5ex
%\end{measurebox}
%\docparspacing
%
% \newpage
% \null
% \vskip 2em%
% \begin{center}%
% \let \footnote \thanks
% {\LARGE \@title \par}%
% \vskip 1.5em%
% {\large
% \lineskip .5em%
% \begin{tabular}[t]{c}%
% \@author
% \end{tabular}\par}%
% \vskip 1em%
% %{\large \@date}%
% \end{center}%
% \par
% \vskip 1.5em
}
%\fi
\makeatother
\makeatletter
\renewcommand\section{\@startsection {section}{1}{\z@}%
{-3.5ex \@plus -1ex \@minus -.2ex}%
{0.3ex \@plus .2ex}%
{\color{DodgerBlue3}\normalfont\Large\bfseries}}% from \large
\renewcommand\subsection{\@startsection{subsection}{2}{\z@}%
{-3.25ex \@plus -1ex \@minus -.2ex}%
{0.1ex \@plus .2ex}%
{\color{DodgerBlue2}\normalfont\fontsize{13}{11}\bfseries\slshape}}% from \large
%{\color{DodgerBlue2}\normalfont\fontsize{10}{11}\slshape}}% from \large
\renewcommand\subsubsection{\@startsection{subsubsection}{3}{\z@}%
{-3.25ex \@plus -1ex \@minus -.2ex}%
{0.1ex \@plus .05ex}%
{\color{DodgerBlue3}\normalfont\normalsize\slshape}}% from \normalsize
\renewcommand\paragraph{\@startsection{paragraph}{4}{\z@}%
{-3.25ex \@plus -1ex \@minus -0.2ex}%
{-2ex}%
{\color{DodgerBlue3}\normalfont\slshape}}%
\makeatother
% add a dot after section number
\makeatletter
\renewcommand{\@seccntformat}[1]{\csname the#1\endcsname.\hspace*{1ex}}
\makeatother
%\makeatletter
%\renewcommand\normalsize{%
% \@setfontsize\normalsize\@viiipt{9.5}%
% \abovedisplayskip 8\p@ \@plus4\p@ \@minus4\p@
% \abovedisplayshortskip \z@ \@plus3\p@
% \belowdisplayshortskip 5\p@ \@plus3\p@ \@minus3\p@
% \belowdisplayskip \abovedisplayskip
% \let\@listi\@listI}
%\normalsize
%\makeatother
%================ COLORS =============%
\definecolor{white}{rgb}{1,1,1} %
\definecolor{result}{rgb}{1,0,0} % rouge vif!!
\definecolor{normal}{rgb}{0,0,1} % bleu vif!!
\definecolor{grey}{rgb}{0.95,0.95,0.95} % on définit la couleur grise (c'est un gris très clair)
\definecolor{darkblue}{rgb}{0,0,.5}
\definecolor{darkgreen}{rgb}{0.05,0.5,.5}
\definecolor{darkred}{rgb}{0.5,0,0}
\definecolor{captioncolor}{RGB}{0, 52, 154} % anciennement navyBlue
\definecolor{captionlistingcolor}{rgb}{0, 0, 0} % anciennement navyBlue
%% NEW GREYBOX %%
% Write text in a grey box
\long\def\greybox#1{%
\newbox\contentbox%
\newbox\bkgdbox%
\setbox\contentbox\hbox to \hsize{%
\vtop{
\kern\columnsep
\hbox to \hsize{%
\kern\columnsep%
\advance\hsize by -2\columnsep%
\setlength{\textwidth}{\hsize}%
\vbox{
\parskip=\baselineskip
\parindent=0bp
#1
}%
\kern\columnsep%
}%
\kern\columnsep%
}%
}%
\setbox\bkgdbox\vbox{
\pdfliteral{0.80 0.80 0.80 rg}
\hrule width \wd\contentbox %
height \ht\contentbox %
depth \dp\contentbox
\pdfliteral{0 0 0 rg}
}%
\wd\bkgdbox=0bp%
\vbox{\hbox to \hsize{\box\bkgdbox\box\contentbox}}%
\vskip\baselineskip%
}
\providecommand{\logN}{\mathcal{L}n\mathcal{N}}
\newcommand{\degree}{\ensuremath{^\circ}\xspace}
\newcommand{\celsius}{\ensuremath{^\circ}C\xspace}
%\def\deg {\:\ensuremath{^\circ \mathrm{C}}}
%-------------------------------
% Commande pour les indices et les exposants
\newcommand{\superscript}[1]{\ensuremath{^{\textrm{#1}}}}
\newcommand{\subscript}[1]{\ensuremath{_{\textrm{#1}}}}
\DeclarePairedDelimiter\abs{\lvert}{\rvert}%
\DeclarePairedDelimiter\norm{\lVert}{\rVert}%
% Swap the definition of \abs* and \norm*, so that \abs
% and \norm resizes the size of the brackets, and the
% starred version does not.
\makeatletter
\let\oldabs\abs
\def\abs{\@ifstar{\oldabs}{\oldabs*}}
%
\let\oldnorm\norm
\def\norm{\@ifstar{\oldnorm}{\oldnorm*}}
\makeatother
% Fonction math \tr pour trace
\DeclareMathOperator{\tr}{tr}
% differential operator
\newcommand*\diff{\mathop{}\!\mathrm{d}}
% arg min
%\DeclareMathOperator*{\argmin}{arg\,min}
\newcommand{\argmin}{\operatornamewithlimits{argmin}}
% arg max
\DeclareMathOperator*{\argmax}{arg\,max}
% equal per definition
%\newcommand\eqdef{\stackrel{\mathclap{\normalfont\mbox{\tiny def}}}{=}}
\newcommand\eqdef{\mathrel{\overset{\makebox[0pt]{\mbox{\normalfont\tiny\sffamily def}}}{=}}}
\DeclareMathAlphabet{\mathbbold}{U}{bbold}{m}{n}
\newcommand*{\eg}{e.g.\@\xspace}
\newcommand*{\ie}{i.e.\@\xspace}
\setlength\parindent{0pt}
% From IEEE
\makeatletter
% LIST SPACING CONTROLS
% Controls the amount of EXTRA spacing
% above and below \trivlist
% Both \list and IED lists override this.
% However, \trivlist will use this as will most
% things built from \trivlist like the \center
% environment.
\topsep 0.5\baselineskip
% Controls the additional spacing around lists preceded
% or followed by blank lines. the IEEE does not increase
% spacing before or after paragraphs so it is set to zero.
% \z@ is the same as zero, but faster.
\partopsep \z@
% Controls the spacing between paragraphs in lists.
% The IEEE does not increase spacing before or after paragraphs
% so this is also zero.
% With IEEEtran.cls, global changes to
% this value DO affect lists (but not IED lists).
\parsep \z@
% Controls the extra spacing between list items.
% The IEEE does not put extra spacing between items.
% With IEEEtran.cls, global changes to this value DO affect
% lists (but not IED lists).
\itemsep \z@
% \itemindent is the amount to indent the FIRST line of a list
% item. It is auto set to zero within the \list environment. To alter
% it, you have to do so when you call the \list.
% However, the IEEE uses this for the theorem environment
% There is an alternative value for this near \leftmargini below
\itemindent -1em
% \leftmargin, the spacing from the left margin of the main text to
% the left of the main body of a list item is set by \list.
% Hence this statement does nothing for lists.
% But, quote and verse do use it for indention.
\leftmargin 2em
% we retain this stuff from the older IEEEtran.cls so that \list
% will work the same way as before. However, itemize, enumerate and
% description (IED) could care less about what these are as they
% all are overridden.
\leftmargini 2em
%\itemindent 2em % Alternative values: sometimes used.
%\leftmargini 0em
\leftmarginii 1em
\leftmarginiii 1.5em
\leftmarginiv 1.5em
\leftmarginv 1.0em
\leftmarginvi 1.0em
\labelsep 0.5em
\labelwidth \z@
% V1.6 create hooks in case the caption spacing ever needs to be
% overridden by a user
\def\@IEEEfigurecaptionsepspace{\vskip\abovecaptionskip\relax}%
\def\@IEEEtablecaptionsepspace{\vskip\abovecaptionskip\relax}%
\makeatother
%------LISTE-------------
\renewcommand{\labelitemi}{$\triangleright$} %level 1
\renewcommand{\labelitemii}{$\cdot$} %level 2
\renewcommand{\labelitemiii}{$\diamond$} %level 3
\renewcommand{\labelitemiv}{$\ast$} %level 4
\newenvironment{itemize*}%
{\begin{itemize}%
\setlength{\itemsep}{0pt}%
\setlength{\parskip}{0pt}}%
{\end{itemize}}
% LISTING
%%%%%%%%%%%%%%%%%%%%%%%%%%
%% listing %%%
\usepackage{listings}
\usepackage{courier}
%\lstdefinestyle{R}{
% basicstyle=\scriptsize\ttfamily, % Standardschrift
% numbers=none, % Ort der Zeilennummern
% numberstyle=\tiny, % Stil der Zeilennummern
% %stepnumber=2, % Abstand zwischen den Zeilennummern
% numbersep=10pt, % Abstand der Nummern zum Text
% tabsize=2, % Groesse von Tabs
% extendedchars=true, %
% breaklines=true, % Zeilen werden Umgebrochen
% %keywordstyle=\color{red},
% commentstyle=\tiny\color{green},
% %keywordstyle = \color{blue},
% backgroundcolor=\color{lightgray},
% frame=b,
% %morecomment=[l]{\#} % les commentaires
% % keywordstyle=[1]\textbf, % Stil der Keywords
% % keywordstyle=[2]\textbf, %
% % keywordstyle=[3]\textbf, %
% % keywordstyle=[4]\textbf, \sqrt{\sqrt{}} %
% stringstyle=\color{white}\ttfamily, % Farbe der String
% showspaces=false, % Leerzeichen anzeigen ?
% showtabs=false, % Tabs anzeigen ?
% xleftmargin=17pt,
% framexleftmargin=1pt,
% framexrightmargin=0pt,
% framexbottommargin=4pt,
% showstringspaces=false % Leerzeichen in Strings anzeigen ?
%}
%\lstloadlanguages{% Check Dokumentation for further languages ...
% %[Visual]Basic
% %Pascal
% %C
% %C++
% R
%}
%
%\lstdefinestyle{Asmcode}{
% language = [x86masm]Assembler,
% basicstyle = \footnotesize,
% keywordstyle = \color{blue},
% commentstyle=\tiny\color{black},
% stringstyle=\color{Plum},
% frame = single,
% %frameround=fttt,
% backgroundcolor=\color{SuperLightRed},
% numbers=left, numberstyle=\tiny\texttt, stepnumber=2, numbersep=10pt
%}
%
%
%\lstset{language=Matlab,
% keywords={break,case,catch,continue,else,elseif,end,for,function,
% global,if,otherwise,persistent,return,switch,try,while},
% basicstyle=\ttfamily,
% keywordstyle=\color{blue},
% commentstyle=\color{red},
% stringstyle=\color{darkgreen},
% numbers=left,
% numberstyle=\tiny\color{gray},
% stepnumber=1,
% numbersep=10pt,
% backgroundcolor=\color{white},
% tabsize=4,
% showspaces=false,
% showstringspaces=false}
%
\lstloadlanguages{R}
\lstdefinelanguage{Renhanced}[]{R}{%
morekeywords={acf,ar,arima,arima.sim,colMeans,colSums,is.na,is.null,%
mapply,ms,na.rm,nlmin,replicate,row.names,rowMeans,rowSums,seasonal,%
sys.time,system.time,ts.plot,which.max,which.min},
deletekeywords={c},
alsoletter={.\%},%
alsoother={:_\$}}
\lstset{language=Renhanced,extendedchars=true,
basicstyle=\scriptsize\ttfamily,
commentstyle=\textsl\tiny\color{darkgreen},
keywordstyle=\mdseries,
showstringspaces=false,
index=[1][keywords],
keywordstyle = \color{darkblue},
backgroundcolor=\color{grey},
indexstyle=\indexfonction,
breaklines=true, % Zeilen werden Umgebrochen
basicstyle=\tiny\ttfamily,
xleftmargin=0pt,
xrightmargin=0pt,
framexleftmargin=0pt,
framexrightmargin=0pt,
framexbottommargin=0pt,
captionpos=b,
abovecaptionskip=-5pt,
belowcaptionskip=0pt
%frame=tb
}
\newcommand{\indexfonction}[1]{\index{#1@\texttt{#1}}}
%\DeclareCaptionFont{white}{\color{white}}
%\DeclareCaptionFormat{listing}{\colorbox[cmyk]{0.43, 0.35, 0.35,0.01}{\parbox{\linewidth}{\hspace{10pt}#1#2#3}}}
%\captionsetup[lstlisting]{format=listing,labelfont=white,textfont=white, singlelinecheck=false, margin=0pt, font={bf,tiny}}
%captionpos=b
\DeclareCaptionFormat{listing}{\vspace{-1ex}\tiny #3}
\captionsetup[lstlisting]{format=listing,singlelinecheck=false, margin=0pt, font={sf,scriptsize},justification=raggedleft}
%-----------------------------
%% NEW ACRO %%
\makeatletter
\DeclareRobustCommand\SMC{%
\ifx\@currsize\normalsize\small\else
\ifx\@currsize\small\footnotesize\else
\ifx\@currsize\footnotesize\scriptsize\else
\ifx\@currsize\large\normalsize\else
\ifx\@currsize\Large\large\else
\ifx\@currsize\LARGE\Large\else
\ifx\@currsize\scriptsize\tiny\else
\ifx\@currsize\tiny\tiny\else
\ifx\@currsize\huge\LARGE\else
\ifx\@currsize\Huge\huge\else
\small\SMC@unknown@warning
\fi\fi\fi\fi\fi\fi\fi\fi\fi\fi
}
\newcommand\SMC@unknown@warning{%
\PackageWarning{acro}{\string\SMC: unrecognized
text font size command -- using \string\small}}
\newcommand\textSMC[1]{{\SMC #1}}
\newcommand\acro[1]{\textSMC{#1}\@}
\makeatother
\newcommand*\lstinputpath[1]{\lstset{inputpath=#1}}
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