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@mheberger
Created November 16, 2022 13:49
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{
"cells": [
{
"cell_type": "markdown",
"id": "1eb1a9ba",
"metadata": {},
"source": [
"# Demo of watershed delineation using the USGS NLDI API\n",
"\n",
"This demo shows you how to use Python to find the watershed for any point in the continental United States. We'll use a \n",
"new water data service created by the US Geological Survey (USGS), called the Hydro Network Linked Data Index (NLDI). For more info, see: https://labs.waterdata.usgs.gov/about-nldi/index.html\n",
"\n",
"The service is an application programming interface (API), and lets you query geodata and other information from the National Hydrographic Dataset (NHD), version 2. The NHD is \"the nation's water data backbone,\" and contains tons of useful information about rivers and drainage areas (or catchments) that have been compiled by state and federal agencies over the course of decades. \n",
"\n",
"Their goal in creating the API was to \"make the data in the NHD available to new audiences,\" i.e. programmers without specialized skills in GIS. Still, it was a little trick to get the data I wanted, and took quite a few steps. Although, this is probably much easier than it was a few years ago! \n",
"\n",
"I think it's important to note that NHDv2 is the version of this dataset that was released in 2012, and was digitized from maps at the 1:100,000-scale. It is not the latest available dataset covering rivers and watersheds in the US. In fact, one [USGS website]() calls this \"legacy data.\" There is a newer version of the NHD called NHDHR, which can not (yet?) be accessed via this API. So, if you want to use that to delineate watersheds, you'll have to download the geodata and use your GIS software to do it. There's a [toolbox](https://github.com/ACWI-SSWD/nhdplushr_tools) available for ArcMap, but if you're using open-source software like QGIS, I guess it will require a bit more work. \n",
"\n",
"Follow along, or download the Jupyter notebook and try it for yourself. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b0284986",
"metadata": {},
"outputs": [],
"source": [
"# First, import the libraries we'll be using\n",
"import pynhd\n",
"import pandas\n",
"import geopandas\n",
"import requests\n",
"import matplotlib.pyplot as plt\n",
"import contextily\n",
"\n",
"# We'll use pynhd, a library that makes it easy to get data from the USGS NLDI API and\n",
"# puts the results into GeoPandas dataframes.\n",
"# https://github.com/hyriver/pynhd\n",
"pygeoapi = pynhd.PyGeoAPI()\n"
]
},
{
"cell_type": "markdown",
"id": "333c4c95",
"metadata": {},
"source": [
"## Specify the watershed outlet\n",
"Here are the coordinates for the watershed outlet, in latitude and longitude. In my experimenting, I found that it's really hard to get good results for watersheds with the API. When you enter coodinates on a large river and expect a big watershed, it often gives you a small watershed of a little local drainage area. I think I found the reason in this [USGS blog post](https://waterdata.usgs.gov/blog/nldi-processes/):\n",
"\n",
"> the split catchment algorithm requires that a **precise location** along a flowline be provided (as can be derived from the raindrop trace algorithm). [emphasis added]\n",
" \n",
"It turns out that we need to do our own \"snap to river centerline\" in order to get expected results. In truth, we have no way of knowing exactly where the river is located in their digital representation of the world. The good news is that the API provides a function for this, called `hydrolocation`. "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4a433f8d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'FeatureCollection',\n",
" 'features': [{'type': 'Feature',\n",
" 'geometry': {'type': 'Point',\n",
" 'coordinates': [-117.44090682783197, 46.66579934880307]},\n",
" 'properties': {'identifier': '',\n",
" 'navigation': 'https://labs.waterdata.usgs.gov/api/nldi/linked-data/comid/23449539/navigation',\n",
" 'measure': '83.53420997058937',\n",
" 'reachcode': '17060107000312',\n",
" 'name': '',\n",
" 'source': 'indexed',\n",
" 'sourceName': 'Automatically indexed by the NLDI',\n",
" 'comid': '23449539',\n",
" 'type': 'hydrolocation',\n",
" 'uri': ''}},\n",
" {'type': 'Feature',\n",
" 'geometry': {'type': 'Point', 'coordinates': [-117.44, 46.666]},\n",
" 'properties': {'identifier': '',\n",
" 'navigation': '',\n",
" 'measure': '',\n",
" 'reachcode': '',\n",
" 'name': '',\n",
" 'source': 'provided',\n",
" 'sourceName': 'Provided via API call',\n",
" 'comid': '',\n",
" 'type': 'point',\n",
" 'uri': ''}}]}"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# This is our REQUESTED point. We are going to use their service to nudge it onto a nearby river centerline.\n",
"lat, lng = 46.666, -117.44\n",
"\n",
"# Here is how to use the API to snap to the river centerline\n",
"url = \"https://labs.waterdata.usgs.gov/api/nldi/linked-data/hydrolocation?f=json&coords=POINT({} {})\".format(lng, lat)\n",
"r = requests.get(url=url)\n",
"r.json()"
]
},
{
"cell_type": "markdown",
"id": "7c89f395",
"metadata": {},
"source": [
"If we inspect the JSON returned from their server, we can see a few things. It found a river **83.5 meters** away from the point we entered. That river reach has the comid (for \"common id\") of **`23449539`**. And the new coordinates are the ridiculously precise `[117.44090682783197, 46.66579934880307]`. So we'll use these coordinates going forward. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f49491f1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(46.66579934880307, -117.44090682783197)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = r.json()\n",
"coordinates = data['features'][0]['geometry']['coordinates']\n",
"lng = coordinates[0]\n",
"lat = coordinates[1]\n",
"lat, lng"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "409c120f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>name</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Watershed outlet</td>\n",
" <td>46.665799</td>\n",
" <td>-117.440907</td>\n",
" <td>POINT (-117.44091 46.66580)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id name latitude longitude geometry\n",
"0 1 Watershed outlet 46.665799 -117.440907 POINT (-117.44091 46.66580)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Make a little GeoPandas dataframe for the point, just to make plotting super easy later on\n",
"point_df = pandas.DataFrame({'id': [1], 'name': ['Watershed outlet'], 'latitude': lat, 'longitude': lng})\n",
"geometry = geopandas.points_from_xy(x=[lng], y=[lat], crs=\"EPSG:4326\")\n",
"point_gdf = geopandas.GeoDataFrame(point_df, geometry=geometry)\n",
"point_gdf"
]
},
{
"cell_type": "markdown",
"id": "68f3e53d",
"metadata": {},
"source": [
"## Get the watershed\n",
"pynhd's `split_catchment()` function gives the upstream watershed boundary as a polygon, with all of the upstream unit catchments merged and dissolved. There is also a second, smaller polygon of the \"split\" portion of the terminal unit catchment.\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "21bb8503",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>req_idx</th>\n",
" <th>geometry</th>\n",
" <th>catchmentID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>POLYGON ((-117.44661 46.65336, -117.44715 46.6...</td>\n",
" <td>23449539</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>POLYGON ((-118.84997 44.01009, -118.85075 44.0...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" req_idx geometry catchmentID\n",
"0 0 POLYGON ((-117.44661 46.65336, -117.44715 46.6... 23449539\n",
"1 0 POLYGON ((-118.84997 44.01009, -118.85075 44.0... NaN"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"watershed_gdf = pygeoapi.split_catchment((lng, lat), crs=\"epsg:4326\", upstream=True)\n",
"watershed_gdf"
]
},
{
"cell_type": "markdown",
"id": "2910a231",
"metadata": {},
"source": [
"## Make a quick plot to visualize the results \n",
"Let's make a plot to visualize the watershed boundaries returned by pynhd's `split_catchment()` function. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "63401b24",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot the watershed boundary -- GeoPandas makes this easy using Matplotlib\n",
"fig, (ax1, ax2) = plt.subplots(ncols=2)\n",
"\n",
"watershed_gdf.plot(ax=ax1, alpha=0.5)\n",
"# Add the outlet point to the map\n",
"point_gdf.plot(ax=ax1, edgecolor=\"red\", facecolor=\"red\", markersize=10)\n",
"ax1.title.set_text('Whole watershed')\n",
"\n",
"# Zoom in on the area around the outlet\n",
"watershed_gdf.plot(ax=ax2, alpha=0.5, edgecolor='k', facecolor=['yellow', 'blue'])\n",
"ax2.set_xlim([-117.5, -117.35])\n",
"ax2.set_ylim([46.75, 46.6])\n",
"point_gdf.plot(ax=ax2, edgecolor=\"red\", facecolor=\"red\", markersize=15)\n",
"ax2.title.set_text('Zoomed in on the outlet')"
]
},
{
"cell_type": "markdown",
"id": "d36967ce",
"metadata": {},
"source": [
"When we zoom in on the area around the outlet, we can see the second, small polygon that is returned by `split_catchment()`. This is the \"home\" unit catchment that the outlet is in, but includes area that is downstream of the outlet. \n",
"\n",
"It's interesting, but we don't need it. So, let's delete the small polygon from the result set. Unfortunately, the order in which the two polygons is returned by the API is not consistent. Sometimes the small polygon is in the first row, and sometimes it is in the second row. Therefore, we need figure out the sizes of the polygons, and delete the smaller of the two. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f8f82cfe",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\mheberger\\AppData\\Local\\Temp\\ipykernel_7264\\1812120445.py:2: UserWarning: Geometry is in a geographic CRS. Results from 'area' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
"\n",
" areas = geopandas.GeoSeries(watershed_gdf['geometry']).area.tolist()\n"
]
},
{
"data": {
"text/plain": [
"[0.0015794387009999454, 25.95499274482564]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calculate the area in \"square decimal degrees\" (!) and put it in a Python list\n",
"areas = geopandas.GeoSeries(watershed_gdf['geometry']).area.tolist()\n",
"areas"
]
},
{
"cell_type": "markdown",
"id": "a4db7b03",
"metadata": {},
"source": [
"**_Uh oh, GeoPandas gives us a scary-looking warning._** It's true: areas calculated from unprojected lat, lng coordinates are mostly meaningless. They can't be converted in square meters or square miles. But, for our purposes, it's good enough, and can tell us which polygon is bigger than the other one. We'll use this one-liner to get the index (list position) of the feature with the smallest area. Then we'll delete (drop) the row with that index or row number."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "775bb113",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>req_idx</th>\n",
" <th>geometry</th>\n",
" <th>catchmentID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>POLYGON ((-117.44661 46.65336, -117.44715 46.6...</td>\n",
" <td>23449539</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>POLYGON ((-118.84997 44.01009, -118.85075 44.0...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" req_idx geometry catchmentID\n",
"0 0 POLYGON ((-117.44661 46.65336, -117.44715 46.6... 23449539\n",
"1 0 POLYGON ((-118.84997 44.01009, -118.85075 44.0... NaN"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"watershed_gdf"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "e7699a95",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>req_idx</th>\n",
" <th>geometry</th>\n",
" <th>catchmentID</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>POLYGON ((-118.84997 44.01009, -118.85075 44.0...</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" req_idx geometry catchmentID\n",
"1 0 POLYGON ((-118.84997 44.01009, -118.85075 44.0... NaN"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"idx_small_polygon = areas.index(min(areas))\n",
"\n",
"# Save the comid of the small unit catchment polygon. This will be useful later on.\n",
"# For some reason, they call it a 'catchmentID' here, but use 'comid' elsewhere (!)\n",
"comid = watershed_gdf['catchmentID'][idx_small_polygon]\n",
"\n",
"# Drop the first polygon in the watershed boundaries dataframe\n",
"watershed_gdf = watershed_gdf.drop(watershed_gdf.index[idx_small_polygon])\n",
"watershed_gdf"
]
},
{
"cell_type": "markdown",
"id": "1cf2510d",
"metadata": {},
"source": [
"You probably also noticed that our watershed has lots of little donut holes in it. This happens when there are \"sinks\" inside of the watershed, or little internal _endorheic_ basins. In these areas, water drains to a depression and gets stuck there and either infiltrates into the ground or evaporates, rather than flowing into a river or stream and toward the watershed outlet. \n",
"\n",
"How to deal with these little holes is somewhat of an unsettled question in hydrology. My view is that they are usually unwanted, especially the small ones. So in this case, let's fill them in. I adapated this [code snippet](https://stackoverflow.com/questions/61427797/filling-a-hole-in-a-multipolygon-with-shapely-netherlands-2-digit-postal-codes) from Stack Overflow to do the job. (This function gives you the option of keeping holes above a certain area threshold.)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b00fd5a3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot: >"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from shapely.geometry import MultiPolygon, Polygon\n",
"\n",
"\n",
"def close_holes(poly: Polygon, area_max: float) -> Polygon:\n",
" \"\"\"\n",
" Close polygon holes by limitation to the exterior ring.\n",
" Args:\n",
" poly: Input shapely Polygon\n",
" area_max: keep holes that are larger than this.\n",
" Fill any holes less than or equal to this.\n",
" We're working with unprojected lat, lng\n",
" so this needs to be in square decimal degrees...\n",
" Settting area_max=0 fills *all holes*\n",
" \n",
" Example:\n",
" df.geometry.apply(lambda p: close_holes(p))\n",
" \"\"\"\n",
" if area_max == 0:\n",
" if poly.interiors:\n",
" return Polygon(list(poly.exterior.coords))\n",
" else:\n",
" return poly\n",
"\n",
" else:\n",
" list_interiors = []\n",
"\n",
" for interior in poly.interiors:\n",
" p = Polygon(interior)\n",
" if p.area > area_max:\n",
" list_interiors.append(interior)\n",
"\n",
" return Polygon(poly.exterior.coords, holes=list_interiors)\n",
"\n",
" \n",
"watershed_gdf = watershed_gdf.geometry.apply(lambda p: close_holes(p, 0))\n",
"watershed_gdf.plot()"
]
},
{
"cell_type": "markdown",
"id": "08fed405",
"metadata": {},
"source": [
"## Get the upstream river reaches\n",
"I mistakenly thought you could use pynhd's `flow_trace()` function to get all of the upstream river reaches. It turns out that this function only gives you _one_ river reach, the one that is immediately upstream (or downstream) of your search location."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "a6e58fcb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>req_idx</th>\n",
" <th>geometry</th>\n",
" <th>gnis_name</th>\n",
" <th>comid</th>\n",
" <th>intersection_point</th>\n",
" <th>reachcode</th>\n",
" <th>measure</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>LINESTRING (-117.43361 46.66031, -117.44092 46...</td>\n",
" <td>Snake River</td>\n",
" <td>23449539</td>\n",
" <td>[-117.44137495893953, 46.66600271720535]</td>\n",
" <td>17060107000312</td>\n",
" <td>83.76</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" req_idx geometry gnis_name \\\n",
"0 0 LINESTRING (-117.43361 46.66031, -117.44092 46... Snake River \n",
"\n",
" comid intersection_point reachcode measure \n",
"0 23449539 [-117.44137495893953, 46.66600271720535] 17060107000312 83.76 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rivers_gdf = pygeoapi.flow_trace((lng, lat), crs=\"epsg:4326\", direction=\"up\")\n",
"rivers_gdf\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4ec56562",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot: >"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Quick plot to see what it looks like\n",
"rivers_gdf.plot()"
]
},
{
"cell_type": "markdown",
"id": "fad8f042",
"metadata": {},
"source": [
"So this function is kind of useful, but not what we're looking for. We want _all_ of the river reaches in the upstream watershed. It turns out that pynhd has a function `navigate_byloc()`. See: \n",
"https://docs.hyriver.io/autoapi/pynhd/pynhd/index.html#pynhd.pynhd.NLDI.navigate_byloc\n",
"\n",
"But this function queries a different, older service at USGS: an ESRI ArcGIS map server. I want to keep using the newer NLDI, so we can query the USGS API on our own. It just requires a few more lines of code.\n",
"\n",
"First, we need to find out what **unit catchment** our watershed outlet is in. For this, we'll use the \"linked data\" API. We are looking for its comid, or \"common id.\"\n",
"\n",
"Luckily, this was returned by the split_catchment() function and we saved it before we deleted the row from the geodataframe. "
]
},
{
"cell_type": "markdown",
"id": "41bc83e1",
"metadata": {},
"source": [
"The **comid** is kind of the starting point of our watershed. It is the unique identifier for the unit catchment that our outlet point falls inside of Now that we have the comid, get all of the upstream river reaches using the `navigation` API."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6e1fcc7a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>nhdplus_comid</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>23449539</td>\n",
" <td>LINESTRING (-117.43361 46.66031, -117.44092 46...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>23452407</td>\n",
" <td>LINESTRING (-117.43470 46.65982, -117.43361 46...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>23449541</td>\n",
" <td>LINESTRING (-117.41554 46.65620, -117.43054 46...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>23450549</td>\n",
" <td>LINESTRING (-117.44682 46.64714, -117.44522 46...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>23452329</td>\n",
" <td>LINESTRING (-117.41773 46.65208, -117.41554 46...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" nhdplus_comid geometry\n",
"0 23449539 LINESTRING (-117.43361 46.66031, -117.44092 46...\n",
"1 23452407 LINESTRING (-117.43470 46.65982, -117.43361 46...\n",
"2 23449541 LINESTRING (-117.41554 46.65620, -117.43054 46...\n",
"3 23450549 LINESTRING (-117.44682 46.64714, -117.44522 46...\n",
"4 23452329 LINESTRING (-117.41773 46.65208, -117.41554 46..."
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# In the URL, we are setting distance=9999, since we want to go as far upstream as possible\n",
"# (distance is in kilometers)\n",
"url = \"https://labs.waterdata.usgs.gov/api/nldi/linked-data/comid/{}/navigation/UT/flowlines?f=json&distance=9999\"\\\n",
" .format(comid)\n",
"r = requests.get(url=url)\n",
"\n",
"# Conver the tributaries GeoJSON into a GeoPandas dataframe\n",
"tribs_gdf = geopandas.read_file(r.text, driver='GeoJSON')\n",
"tribs_gdf.head()"
]
},
{
"cell_type": "markdown",
"id": "a9e07f3a",
"metadata": {},
"source": [
"Note the first row has `nhdplus_comid = 23449539`. This matches the catchmentID that we found above. This is one of the things that makes the NHD so great, and makes it a joy to work with. There is a 1:1 relationship between river reaches and unit catchments, and they are linked via this \"common id.\" (Although it's confusing to me that the NLDI API's change the field names and obscure this simple and beautiful relationship... :) \n",
"\n",
"## Plot the rivers\n",
"Let's make a quick plot of the rivers in our watershed. "
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "335e0564",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot: >"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 700x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot the tributaries\n",
"ax = tribs_gdf.plot(edgecolor=\"blue\", linewidth=0.5, figsize=(7, 8) )\n",
"\n",
"# Add the outlet point so we can keep our bearings\n",
"point_gdf.plot(ax=ax, edgecolor=\"red\", facecolor=\"red\", markersize=15, zorder=2)"
]
},
{
"cell_type": "markdown",
"id": "f9e352a8",
"metadata": {},
"source": [
"We now have both: (a) the watershed boundary and (b) the rivers. We could stop here. But you'll notice that, for a large watershed like this one, there is an incredible amount of detail in our river network. The lines may not show up clearly unless you make a poster-size map. To make an attractive map, we need a way to \"prune\" the river network, or get rid of the small streams and keep the big rivers. In the next step, we'll add extra information or \"attributes\" to each river reach to help us do this. \n",
"\n",
"The bad news is that our rivers dataset is very bare bones. All we have is an ID and its geometry. The good news is that the USGS has tabulated lots of information about these rivers, like stream order, name, length, slope, and many more. They call these \"Value Added Attributes\" (VAA). You can get data tables in the GIS data from the USGS, but downloading all of these big files would be overkill for us. I found this online resource containing all the NHD river attributes, compiled by scientist J. Michael Johnson at UC Santa Barbara: https://www.hydroshare.org/resource/6092c8a62fac45be97a09bfd0b0bf726/\n",
"\n",
"Here, I have downloaded the resource and unzipped the files. The important file is `nhdplusVAA.parquet`, which I moved into the same directory with the script, for simplicity. This \"parquet\" file is a highly-compressed binary file that contains the tabular data for the entire NHD catalog (about 2.7 million records). Of course, it is not efficient to read this huge file just so we can extract a few rows. This would be worth optimizing if you are delineating many watersheds... for example by loading it into a database and using a query to get the rows you need. Or loading the parquet file once at the top of the script once and looping over several watershed outlets."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "6a0daca1",
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>comid</th>\n",
" <th>streamleve</th>\n",
" <th>streamorde</th>\n",
" <th>streamcalc</th>\n",
" <th>fromnode</th>\n",
" <th>tonode</th>\n",
" <th>hydroseq</th>\n",
" <th>levelpathi</th>\n",
" <th>pathlength</th>\n",
" <th>terminalpa</th>\n",
" <th>...</th>\n",
" <th>pathtimema</th>\n",
" <th>slope</th>\n",
" <th>slopelenkm</th>\n",
" <th>ftype</th>\n",
" <th>gnis_name</th>\n",
" <th>gnis_id</th>\n",
" <th>wbareacomi</th>\n",
" <th>hwnodesqkm</th>\n",
" <th>rpuid</th>\n",
" <th>vpuid</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <td>10036355.0</td>\n",
" <td>10036354.0</td>\n",
" <td>10066846.0</td>\n",
" <td>10066846.0</td>\n",
" <td>96.489</td>\n",
" <td>10006739.0</td>\n",
" <td>...</td>\n",
" <td>2.028407</td>\n",
" <td>0.060834</td>\n",
" <td>1.295</td>\n",
" <td>StreamRiver</td>\n",
" <td>Bear Creek</td>\n",
" <td>218814</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>18c</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>8318787.0</td>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>10036353.0</td>\n",
" <td>10036355.0</td>\n",
" <td>10082561.0</td>\n",
" <td>10066846.0</td>\n",
" <td>97.784</td>\n",
" <td>10006739.0</td>\n",
" <td>...</td>\n",
" <td>2.070185</td>\n",
" <td>0.095344</td>\n",
" <td>1.323</td>\n",
" <td>StreamRiver</td>\n",
" <td>Bear Creek</td>\n",
" <td>218814</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>18c</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>8318775.0</td>\n",
" <td>2.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>10111635.0</td>\n",
" <td>10036353.0</td>\n",
" <td>10121441.0</td>\n",
" <td>10066846.0</td>\n",
" <td>99.107</td>\n",
" <td>10006739.0</td>\n",
" <td>...</td>\n",
" <td>2.113554</td>\n",
" <td>0.112738</td>\n",
" <td>2.732</td>\n",
" <td>StreamRiver</td>\n",
" <td>Bear Creek</td>\n",
" <td>218814</td>\n",
" <td>0</td>\n",
" <td>0.3735</td>\n",
" <td>18c</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>8318785.0</td>\n",
" <td>3.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>10111636.0</td>\n",
" <td>10036355.0</td>\n",
" <td>10121440.0</td>\n",
" <td>10121440.0</td>\n",
" <td>97.784</td>\n",
" <td>10006739.0</td>\n",
" <td>...</td>\n",
" <td>2.070185</td>\n",
" <td>0.151423</td>\n",
" <td>2.220</td>\n",
" <td>StreamRiver</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>0.1935</td>\n",
" <td>18c</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>8318789.0</td>\n",
" <td>3.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>10111637.0</td>\n",
" <td>10036353.0</td>\n",
" <td>10121439.0</td>\n",
" <td>10121439.0</td>\n",
" <td>99.107</td>\n",
" <td>10006739.0</td>\n",
" <td>...</td>\n",
" <td>2.113554</td>\n",
" <td>0.162461</td>\n",
" <td>1.361</td>\n",
" <td>StreamRiver</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>0.0711</td>\n",
" <td>18c</td>\n",
" <td>18</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 44 columns</p>\n",
"</div>"
],
"text/plain": [
" comid streamleve streamorde streamcalc fromnode tonode \\\n",
"0 8318793.0 2.0 2.0 2.0 10036355.0 10036354.0 \n",
"1 8318787.0 2.0 2.0 2.0 10036353.0 10036355.0 \n",
"2 8318775.0 2.0 1.0 1.0 10111635.0 10036353.0 \n",
"3 8318785.0 3.0 1.0 1.0 10111636.0 10036355.0 \n",
"4 8318789.0 3.0 1.0 1.0 10111637.0 10036353.0 \n",
"\n",
" hydroseq levelpathi pathlength terminalpa ... pathtimema slope \\\n",
"0 10066846.0 10066846.0 96.489 10006739.0 ... 2.028407 0.060834 \n",
"1 10082561.0 10066846.0 97.784 10006739.0 ... 2.070185 0.095344 \n",
"2 10121441.0 10066846.0 99.107 10006739.0 ... 2.113554 0.112738 \n",
"3 10121440.0 10121440.0 97.784 10006739.0 ... 2.070185 0.151423 \n",
"4 10121439.0 10121439.0 99.107 10006739.0 ... 2.113554 0.162461 \n",
"\n",
" slopelenkm ftype gnis_name gnis_id wbareacomi hwnodesqkm \\\n",
"0 1.295 StreamRiver Bear Creek 218814 0 NaN \n",
"1 1.323 StreamRiver Bear Creek 218814 0 NaN \n",
"2 2.732 StreamRiver Bear Creek 218814 0 0.3735 \n",
"3 2.220 StreamRiver 0 0.1935 \n",
"4 1.361 StreamRiver 0 0.0711 \n",
"\n",
" rpuid vpuid \n",
"0 18c 18 \n",
"1 18c 18 \n",
"2 18c 18 \n",
"3 18c 18 \n",
"4 18c 18 \n",
"\n",
"[5 rows x 44 columns]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fname = 'nhdplusVAA.parquet'\n",
"df_attribs = pandas.read_parquet(fname)\n",
"# Suppose you only wanted a few of the columns:\n",
"# df_attribs = pandas.read_parquet(fname, columns=['comid', 'streamorde', 'lengthkm', 'gnis_name'])\n",
"df_attribs.head()"
]
},
{
"cell_type": "markdown",
"id": "d1df6666",
"metadata": {},
"source": [
"It was a little hard to find documentation for what all these fields mean, but I found them in a table on page 6 of this document: https://edap-ow-data-commons.s3.amazonaws.com/NHDPlusV21/Data/NationalData/0Release_Notes_NationalData_Seamless_GeoDatabase.pdf\n",
"\n",
"(Incidentally, do _not_ pay attention to several of the first Google hits for \"NHD VAA.\" The first few results describe NHD HR, which is the new _high-resolution_ version of the NHD, which is only partially available as of Nov. 2022. The different versions of the NHD (v1, v2, Plus, HR) created **a lot of confusion** for me when I started using this dataset!) \n",
"\n",
"Next, we will **join** this information to the tribuataries geodataframe, `tribs_ddf`. But first, we need to make sure the fields that we use as the key have the same name and data type."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "05dd692c",
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>geometry</th>\n",
" <th>comid</th>\n",
" <th>streamleve</th>\n",
" <th>streamorde</th>\n",
" <th>streamcalc</th>\n",
" <th>fromnode</th>\n",
" <th>tonode</th>\n",
" <th>hydroseq</th>\n",
" <th>levelpathi</th>\n",
" <th>pathlength</th>\n",
" <th>...</th>\n",
" <th>pathtimema</th>\n",
" <th>slope</th>\n",
" <th>slopelenkm</th>\n",
" <th>ftype</th>\n",
" <th>gnis_name</th>\n",
" <th>gnis_id</th>\n",
" <th>wbareacomi</th>\n",
" <th>hwnodesqkm</th>\n",
" <th>rpuid</th>\n",
" <th>vpuid</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>LINESTRING (-117.43361 46.66031, -117.44092 46...</td>\n",
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" <td>4.940759</td>\n",
" <td>0.000010</td>\n",
" <td>5.364</td>\n",
" <td>ArtificialPath</td>\n",
" <td>Snake River</td>\n",
" <td>1533479</td>\n",
" <td>120049638</td>\n",
" <td>NaN</td>\n",
" <td>17b</td>\n",
" <td>17</td>\n",
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" <td>0.100</td>\n",
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" <td></td>\n",
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" <td>683.435</td>\n",
" <td>...</td>\n",
" <td>5.032801</td>\n",
" <td>0.020087</td>\n",
" <td>1.498</td>\n",
" <td>ArtificialPath</td>\n",
" <td>Snake River</td>\n",
" <td>1533479</td>\n",
" <td>120049638</td>\n",
" <td>NaN</td>\n",
" <td>17b</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>LINESTRING (-117.44682 46.64714, -117.44522 46...</td>\n",
" <td>23450549</td>\n",
" <td>3.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50172891.0</td>\n",
" <td>50047518.0</td>\n",
" <td>50201819.0</td>\n",
" <td>50130961.0</td>\n",
" <td>683.535</td>\n",
" <td>...</td>\n",
" <td>5.039677</td>\n",
" <td>0.305891</td>\n",
" <td>1.616</td>\n",
" <td>StreamRiver</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>0</td>\n",
" <td>0.0567</td>\n",
" <td>17b</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>LINESTRING (-117.41773 46.65208, -117.41554 46...</td>\n",
" <td>23452329</td>\n",
" <td>3.0</td>\n",
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" <td>...</td>\n",
" <td>5.041303</td>\n",
" <td>0.000010</td>\n",
" <td>0.487</td>\n",
" <td>ArtificialPath</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>120049638</td>\n",
" <td>NaN</td>\n",
" <td>17b</td>\n",
" <td>17</td>\n",
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" <tr>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85388</th>\n",
" <td>LINESTRING (-111.18053 42.49996, -111.17976 42...</td>\n",
" <td>23136257</td>\n",
" <td>5.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50022440.0</td>\n",
" <td>50022439.0</td>\n",
" <td>50089169.0</td>\n",
" <td>50070021.0</td>\n",
" <td>2100.802</td>\n",
" <td>...</td>\n",
" <td>221.871956</td>\n",
" <td>0.068714</td>\n",
" <td>0.070</td>\n",
" <td>Connector</td>\n",
" <td>Beaver Dam Creek</td>\n",
" <td>376436</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>17a</td>\n",
" <td>17</td>\n",
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" <tr>\n",
" <th>85389</th>\n",
" <td>LINESTRING (-109.77488 43.40333, -109.77250 43...</td>\n",
" <td>23131654</td>\n",
" <td>5.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50156772.0</td>\n",
" <td>50021788.0</td>\n",
" <td>50217933.0</td>\n",
" <td>50026944.0</td>\n",
" <td>2172.484</td>\n",
" <td>...</td>\n",
" <td>536.051111</td>\n",
" <td>0.020909</td>\n",
" <td>0.099</td>\n",
" <td>ArtificialPath</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>18346197</td>\n",
" <td>0.6390</td>\n",
" <td>17a</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85390</th>\n",
" <td>LINESTRING (-111.19939 42.49678, -111.19930 42...</td>\n",
" <td>23135989</td>\n",
" <td>5.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50022383.0</td>\n",
" <td>50022440.0</td>\n",
" <td>50105872.0</td>\n",
" <td>50070021.0</td>\n",
" <td>2100.872</td>\n",
" <td>...</td>\n",
" <td>221.874465</td>\n",
" <td>0.063382</td>\n",
" <td>1.644</td>\n",
" <td>StreamRiver</td>\n",
" <td>Beaver Dam Creek</td>\n",
" <td>376436</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>17a</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85391</th>\n",
" <td>LINESTRING (-111.20980 42.49995, -111.20980 42...</td>\n",
" <td>23135987</td>\n",
" <td>5.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50022382.0</td>\n",
" <td>50022383.0</td>\n",
" <td>50136723.0</td>\n",
" <td>50070021.0</td>\n",
" <td>2102.516</td>\n",
" <td>...</td>\n",
" <td>221.933920</td>\n",
" <td>0.111129</td>\n",
" <td>0.974</td>\n",
" <td>StreamRiver</td>\n",
" <td>Beaver Dam Creek</td>\n",
" <td>376436</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>17a</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85392</th>\n",
" <td>LINESTRING (-111.23921 42.50526, -111.23912 42...</td>\n",
" <td>23135977</td>\n",
" <td>5.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>50157123.0</td>\n",
" <td>50022382.0</td>\n",
" <td>50217583.0</td>\n",
" <td>50070021.0</td>\n",
" <td>2103.490</td>\n",
" <td>...</td>\n",
" <td>221.968508</td>\n",
" <td>0.176832</td>\n",
" <td>2.835</td>\n",
" <td>StreamRiver</td>\n",
" <td>Beaver Dam Creek</td>\n",
" <td>376436</td>\n",
" <td>0</td>\n",
" <td>0.0747</td>\n",
" <td>17a</td>\n",
" <td>17</td>\n",
" </tr>\n",
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"</table>\n",
"<p>85393 rows × 45 columns</p>\n",
"</div>"
],
"text/plain": [
" geometry comid \\\n",
"0 LINESTRING (-117.43361 46.66031, -117.44092 46... 23449539 \n",
"1 LINESTRING (-117.43470 46.65982, -117.43361 46... 23452407 \n",
"2 LINESTRING (-117.41554 46.65620, -117.43054 46... 23449541 \n",
"3 LINESTRING (-117.44682 46.64714, -117.44522 46... 23450549 \n",
"4 LINESTRING (-117.41773 46.65208, -117.41554 46... 23452329 \n",
"... ... ... \n",
"85388 LINESTRING (-111.18053 42.49996, -111.17976 42... 23136257 \n",
"85389 LINESTRING (-109.77488 43.40333, -109.77250 43... 23131654 \n",
"85390 LINESTRING (-111.19939 42.49678, -111.19930 42... 23135989 \n",
"85391 LINESTRING (-111.20980 42.49995, -111.20980 42... 23135987 \n",
"85392 LINESTRING (-111.23921 42.50526, -111.23912 42... 23135977 \n",
"\n",
" streamleve streamorde streamcalc fromnode tonode hydroseq \\\n",
"0 2.0 8.0 8.0 50046839.0 50046838.0 50001671.0 \n",
"1 3.0 1.0 1.0 50047518.0 50046839.0 50130961.0 \n",
"2 2.0 8.0 8.0 50046840.0 50046839.0 50001672.0 \n",
"3 3.0 1.0 1.0 50172891.0 50047518.0 50201819.0 \n",
"4 3.0 2.0 2.0 50047479.0 50046840.0 50102727.0 \n",
"... ... ... ... ... ... ... \n",
"85388 5.0 1.0 1.0 50022440.0 50022439.0 50089169.0 \n",
"85389 5.0 1.0 1.0 50156772.0 50021788.0 50217933.0 \n",
"85390 5.0 1.0 1.0 50022383.0 50022440.0 50105872.0 \n",
"85391 5.0 1.0 1.0 50022382.0 50022383.0 50136723.0 \n",
"85392 5.0 1.0 1.0 50157123.0 50022382.0 50217583.0 \n",
"\n",
" levelpathi pathlength ... pathtimema slope slopelenkm \\\n",
"0 50001581.0 678.071 ... 4.940759 0.000010 5.364 \n",
"1 50130961.0 683.435 ... 5.032801 0.005200 0.100 \n",
"2 50001581.0 683.435 ... 5.032801 0.020087 1.498 \n",
"3 50130961.0 683.535 ... 5.039677 0.305891 1.616 \n",
"4 50102727.0 684.933 ... 5.041303 0.000010 0.487 \n",
"... ... ... ... ... ... ... \n",
"85388 50070021.0 2100.802 ... 221.871956 0.068714 0.070 \n",
"85389 50026944.0 2172.484 ... 536.051111 0.020909 0.099 \n",
"85390 50070021.0 2100.872 ... 221.874465 0.063382 1.644 \n",
"85391 50070021.0 2102.516 ... 221.933920 0.111129 0.974 \n",
"85392 50070021.0 2103.490 ... 221.968508 0.176832 2.835 \n",
"\n",
" ftype gnis_name gnis_id wbareacomi hwnodesqkm \\\n",
"0 ArtificialPath Snake River 1533479 120049638 NaN \n",
"1 ArtificialPath 120049638 NaN \n",
"2 ArtificialPath Snake River 1533479 120049638 NaN \n",
"3 StreamRiver 0 0.0567 \n",
"4 ArtificialPath 120049638 NaN \n",
"... ... ... ... ... ... \n",
"85388 Connector Beaver Dam Creek 376436 0 NaN \n",
"85389 ArtificialPath 18346197 0.6390 \n",
"85390 StreamRiver Beaver Dam Creek 376436 0 NaN \n",
"85391 StreamRiver Beaver Dam Creek 376436 0 NaN \n",
"85392 StreamRiver Beaver Dam Creek 376436 0 0.0747 \n",
"\n",
" rpuid vpuid \n",
"0 17b 17 \n",
"1 17b 17 \n",
"2 17b 17 \n",
"3 17b 17 \n",
"4 17b 17 \n",
"... ... ... \n",
"85388 17a 17 \n",
"85389 17a 17 \n",
"85390 17a 17 \n",
"85391 17a 17 \n",
"85392 17a 17 \n",
"\n",
"[85393 rows x 45 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# In the tributaries GeoDataFrame, rename the column \"nhdplus_comid\" to \"comid\"\n",
"# and convert it from a floating point number to an integer\n",
"tribs_gdf['comid'] = tribs_gdf['nhdplus_comid'].astype('int64')\n",
"tribs_gdf = tribs_gdf.drop(['nhdplus_comid'], axis=1)\n",
"\n",
"# In the attribute table, to convert the comid field from a float to an integer\n",
"df_attribs['comid'] = df_attribs['comid'].astype('int64')\n",
"\n",
"# GeoPandas makes it easy to do a table join and add the attributes columns to our tributaries geodataframe\n",
"tribs_attrs_gdf = tribs_gdf.merge(df_attribs, on='comid')\n",
"tribs_attrs_gdf"
]
},
{
"cell_type": "markdown",
"id": "e773bd9d",
"metadata": {},
"source": [
"## Prune the river network \n",
"Next we will prune the river network by removing smaller tributaries. I have found that keeping a total of 4 or 5 orders of streams results in maps that are visually pleasing and easier to read. We will use the field `streamorde`, which is the Strahler Stream Order. Basically, a small headwater stream will have order = 1, and as you move downstream past a confluence with another stream, it increases by 1. So bigger rivers may have a stream order or 4, 5, or greater. "
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "e08ee21e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Stream order ranges from 1.0 to 8.0\n"
]
},
{
"data": {
"text/plain": [
"13195"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Find the minimum stream order in our river network\n",
"min_order = tribs_attrs_gdf.streamorde.min()\n",
"max_order = tribs_attrs_gdf.streamorde.max()\n",
"print(\"Stream order ranges from {} to {}\".format(min_order, max_order))\n",
"\n",
"# We'll keep a total of 5 orders\n",
"min_order_to_keep = max_order - 5\n",
"\n",
"# Filter the table, keeping only those rows where stream order is above the minimum we calculated above\n",
"tribs_attrs_gdf = tribs_attrs_gdf[tribs_attrs_gdf.streamorde > min_order_to_keep]\n",
"len(tribs_attrs_gdf)"
]
},
{
"cell_type": "markdown",
"id": "f40c3795",
"metadata": {},
"source": [
"So, we had 85,393 river reaches. We filtered out all those with an order less than 4, leaving us with orders 4 to 8, leaving us wtih 13,195 reaches, an 85% reduction! Maybe that was too much? Let's see the results...\n",
"\n",
"## Make our final map\n",
"We'll continue using geopandas' built-in plotting methods, which rely on matplotlib, to make a nice map that we can print or embed in a document. We'll add a basemap to give it some more context. To do this, we have to reproject our data from uprojected lat/lng coordinates to the \"Web Mercator\" projection that is used by all the online maps and tile providers. \n",
"\n",
"When we plot the rivers on a map, we'll give big rivers have a heavier line, and use a lighter line for small streams. We can approximate this setting the line width proportional to the \"stream order,\" one of the attributes that we added above. "
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9d44848d",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\users\\mheberger\\documents\\test-nhd\\venv\\lib\\site-packages\\geopandas\\geodataframe.py:1443: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" super().__setitem__(key, value)\n"
]
},
{
"data": {
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