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Efficiency Unit Seminar on Air Quality Data

Efficiency Unit Seminar on Air Quality Data

8 December 2014 - EU Office

W.C. Mok (EPD)

  • Objective of AQHI : Highlight Health Risk to the Public.
  • Uncertain whether public heeds the health risk angle.
  • Reaching out to public for ideas on how to better reach the public.

Ivy So (Agriculture, Fisheries and Conservation Dept. - BioDiversity Division)

  • Objective : Educating the public on the importance of biodiversity
  • Method : Disseminating information (publications of books pamphlets, posters, newsletters)
  • Method : Activities (Education, Exhibition and Information Signs)
  • Method : IT (Mobile Apps, Social Media, Thematic Website
  •, HK BioDiversity Database
  • *Promise : Species list available as an XLS file

John Chan (HK Observatory)

  • Community Weather Observations
  • HKO operates over Automatic Weather Stations in HK
  • 2011 : Community Weather Observations Scheme (CWOS), involving schools and individuals. Community Engagement : Co-Win, Facebook
  • Challenge : Handling Big Data, Making the data useful, recruiting weather ambassadors.

Sarah Chan (EU - 1823)

  • 2013: 2 million enquiries, 340.000 complaints handled.
  • tellme@1823, first 'transactional mobile app' of the HKGov.
  • App Features : SeeClickFix incorporating Microphone, GPS and Camera data.
  • 2011 <, 65K Downloads

Bastien Douglas (ODHK)

  • Contemporary Government:
    • Government doesn't exist in a bubble
    • Government isn't a black bow
    • Government can be a platform for development
  • Data Flow: Government vs Public Data, Government vs Public Use
  • Data Openness :
    • Collaboration
    • Analysis
  • Matching Innovation with Technology:
    • Innovation (search, publishing, sharing, dynamic sites)
    • Technology (tools, DBs, standards)
    • Government (openness, and transparency)
  • Open Data conditions match the previous three points.
    • Discoverable (If it can be found, it can be accessed)
    • Structured (If it can be found, it can be accessed)
    • Unconditional (there should be no limits on use)
  • Case Study : OpenAirLondon, Open Data Index.

Vincent Lau (Code4HK)

  • Civic Hacker movement is flourishing around the world
  • Examples : Budget, NorthEast, Gazetteer
  • Code4HK as a platform, engaging a community of volunteer developers.
  • Prediction on health impacts of air pollution - but need data from both HA and HKO.

Harry Ng (Code4HK)

Andrew Leiden (OpenDataHK)

  • US Gov presents its data with a formula to convert the data into 'colour ratings'
  • Built an app that translates the API (Air Pollution Index) into global index
  • CLP & HKE have stations that only report once a month - we need it public, so EPD can double its coverage. Same for the Airport.
  •, crowd sourced radiation monitoring.

John Lo (EPD)

  • Air Quality Monitoring Network.
  • Objectives:
    • Understand air pollution problems to develop cost effective solutions
    • Assess Compliance to Targets
  • Air Science Laboratory:
    • Maintenance & Development
    • QC & QA
    • Data Processing & Management
  • Also measure toxicity levels and acid rain in some of the stations.

CF Chow (EPD - Air Science Group)

  • Presented Data Flow of AQHI Reporting System Data Flow of AQHI Reporting System
  • Showcased web properties and mobile app
  • Overview of AQHI, Health Advice.

Prof Ning (CityU)

  • How to improve the current AQ practice with emerging technologies.
  • Reason why this is important because pollution 3 (home, air and smoke) out of top 10 are responsible for diseases.
  • Expanded the question of AQ to movement of people, transport issues and urban design
  • 'Huge discrepancy between the data you can get, compared with the places you have been'
  • Existing solutions don't cover enough area/ isn't personalised enough, the 'citizen sensors' don't provide reliable enough data, that's why we are aiming to build smaller, but reliable measuring stations.
  • Research is being done on building a low-cost CO_2 monitor.
  • Motivating students to be engaged in science and make them ambassadors of good air quality and science
  • "make quality data engage the next generations"
  • Application: 2015 Green Marathon AQHI project
  • Application: Personalised Air Monitoring (AQ monitoring on the go, with GPS data)
  • Application: Bus Platform for Sensor Network (Identify Air Pollution Hot Spots in the City)
  • Future: Roadway network and transport control.
    • Low Cost sensors form interconnected network
    • Traffic Data and Air Data Integration
    • Realtime transport control to reduce public exposure.

Prof Alexis Lau (HKUST)

  • Beijing spending 100 Million RMB to forecast street-level pollution levels.
  • "Different people have different responses to pollutant particles"
  • Personalised Regression Analysis for Forecasting
  • Air Quality is highly variable per location
  • Proposal : A Trip Exposure Assessment System
  • Realtime data : AQHI & API
  • University has 400 TB of Environmental Data, but are looking to the EPD to permit the data being shared/opened.

Prof Yee Leung (Institute of Future Cities, ChineseU)

  • Air Pollution Decision Support System (APDSS)
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