flopy/examples/Notebooks/flopy3_LoadSWRBinaryData.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# FloPy\n",
"\n",
"## Plotting SWR Process Results\n",
"\n",
"This notebook demonstrates the use of the `SwrObs` and `SwrStage`, `SwrBudget`, `SwrFlow`, and `SwrExchange`, `SwrStructure`, classes to read binary SWR Process observation, stage, budget, reach to reach flows, reach-aquifer exchange, and structure files. It demonstrates these capabilities by loading these binary file types and showing examples of plotting SWR Process data. An example showing how the simulated water surface profile at a selected time along a selection of reaches can be plotted is also presented."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.8.6 | packaged by conda-forge | (default, Oct 7 2020, 18:42:56) \n",
"[Clang 10.0.1 ]\n",
"numpy version: 1.18.5\n",
"matplotlib version: 3.2.2\n",
"flopy version: 3.3.3\n"
]
}
],
"source": [
"from IPython.display import Image\n",
"import os\n",
"import sys\n",
"import numpy as np\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# run installed version of flopy or add local path\n",
"try:\n",
" import flopy\n",
"except:\n",
" fpth = os.path.abspath(os.path.join('..', '..'))\n",
" sys.path.append(fpth)\n",
" import flopy\n",
"\n",
"print(sys.version)\n",
"print('numpy version: {}'.format(np.__version__))\n",
"print('matplotlib version: {}'.format(mpl.__version__))\n",
"print('flopy version: {}'.format(flopy.__version__))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"#Set the paths\n",
"datapth = os.path.join('..', 'data', 'swr_test')\n",
"\n",
"# SWR Process binary files \n",
"files = ('SWR004.obs', 'SWR004.vel', 'SWR004.str', 'SWR004.stg', 'SWR004.flow')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load SWR Process observations\n",
"\n",
"Create an instance of the `SwrObs` class and load the observation data."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrObs(os.path.join(datapth, files[0]))\n",
"\n",
"ts = sobj.get_data()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Plot the data from the binary SWR Process observation file"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x864 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(6, 12))\n",
"ax1 = fig.add_subplot(3, 1, 1)\n",
"ax1.semilogx(ts['totim']/3600., -ts['OBS1'], label='OBS1')\n",
"ax1.semilogx(ts['totim']/3600., -ts['OBS2'], label='OBS2')\n",
"ax1.semilogx(ts['totim']/3600., -ts['OBS9'], label='OBS3')\n",
"ax1.set_ylabel('Flow, in cubic meters per second')\n",
"ax1.legend()\n",
"\n",
"ax = fig.add_subplot(3, 1, 2, sharex=ax1)\n",
"ax.semilogx(ts['totim']/3600., -ts['OBS4'], label='OBS4')\n",
"ax.semilogx(ts['totim']/3600., -ts['OBS5'], label='OBS5')\n",
"ax.set_ylabel('Flow, in cubic meters per second')\n",
"ax.legend()\n",
"\n",
"ax = fig.add_subplot(3, 1, 3, sharex=ax1)\n",
"ax.semilogx(ts['totim']/3600., ts['OBS6'], label='OBS6')\n",
"ax.semilogx(ts['totim']/3600., ts['OBS7'], label='OBS7')\n",
"ax.set_xlim(1, 100)\n",
"ax.set_ylabel('Stage, in meters')\n",
"ax.set_xlabel('Time, in hours')\n",
"ax.legend();"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load the same data from the individual binary SWR Process files\n",
"\n",
"Load discharge data from the flow file. The flow file contains the simulated flow between connected reaches for each connection in the model."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrFlow(os.path.join(datapth, files[1]))\n",
"times = np.array(sobj.get_times())/3600.\n",
"obs1 = sobj.get_ts(irec=1, iconn=0)\n",
"obs2 = sobj.get_ts(irec=14, iconn=13)\n",
"obs4 = sobj.get_ts(irec=4, iconn=3)\n",
"obs5 = sobj.get_ts(irec=5, iconn=4)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load discharge data from the structure file. The structure file contains the simulated structure flow for each reach with a structure."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrStructure(os.path.join(datapth, files[2]))\n",
"obs3 = sobj.get_ts(irec=17, istr=0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load stage data from the stage file. The flow file contains the simulated stage for each reach in the model."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrStage(os.path.join(datapth, files[3]))\n",
"obs6 = sobj.get_ts(irec=13)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load budget data from the budget file. The budget file contains the simulated budget for each reach group in the model. The budget file also contains the stage data for each reach group. In this case the number of reach groups equals the number of reaches in the model."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrBudget(os.path.join(datapth, files[4]))\n",
"obs7 = sobj.get_ts(irec=17)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Plot the data loaded from the individual binary SWR Process files.\n",
"\n",
"Note that the plots are identical to the plots generated from the binary SWR observation data."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x864 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(6, 12))\n",
"ax1 = fig.add_subplot(3, 1, 1)\n",
"ax1.semilogx(times, obs1['flow'], label='OBS1')\n",
"ax1.semilogx(times, obs2['flow'], label='OBS2')\n",
"ax1.semilogx(times, -obs3['strflow'], label='OBS3')\n",
"ax1.set_ylabel('Flow, in cubic meters per second')\n",
"ax1.legend()\n",
"\n",
"ax = fig.add_subplot(3, 1, 2, sharex=ax1)\n",
"ax.semilogx(times, obs4['flow'], label='OBS4')\n",
"ax.semilogx(times, obs5['flow'], label='OBS5')\n",
"ax.set_ylabel('Flow, in cubic meters per second')\n",
"ax.legend()\n",
"\n",
"ax = fig.add_subplot(3, 1, 3, sharex=ax1)\n",
"ax.semilogx(times, obs6['stage'], label='OBS6')\n",
"ax.semilogx(times, obs7['stage'], label='OBS7')\n",
"ax.set_xlim(1, 100)\n",
"ax.set_ylabel('Stage, in meters')\n",
"ax.set_xlabel('Time, in hours')\n",
"ax.legend();"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot simulated water surface profiles\n",
"\n",
"Simulated water surface profiles can be created using the `ModelCrossSection` class. \n",
"\n",
"Several things that we need in addition to the stage data include reach lengths and bottom elevations. We load these data from an existing file."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"sd = np.genfromtxt(os.path.join(datapth, 'SWR004.dis.ref'), names=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The contents of the file are shown in the cell below."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[' IRCH RLEN BELEV\\n',\n",
" ' 1 1000. 2.0\\n',\n",
" ' 2 500. 1.83\\n',\n",
" ' 3 500. 1.83\\n',\n",
" ' 4 1000. 1.67\\n',\n",
" ' 5 1000. 1.50\\n',\n",
" ' 6 1000. 1.33\\n',\n",
" ' 7 1000. 1.17\\n',\n",
" ' 8 500. 1.0\\n',\n",
" ' 9 500. 1.83\\n',\n",
" ' 10 1118. 1.65\\n',\n",
" ' 11 1118. 1.41\\n',\n",
" ' 12 1000. 1.17\\n',\n",
" ' 13 500. 1.0\\n',\n",
" ' 14 500. 1.0\\n',\n",
" ' 15 1000. 0.75\\n',\n",
" ' 16 1000. 0.50\\n',\n",
" ' 17 1000. 0.25\\n',\n",
" ' 18 1000. 0.0']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fc = open(os.path.join(datapth, 'SWR004.dis.ref')).readlines()\n",
"fc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create an instance of the `SwrStage` class for SWR Process stage data."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"sobj = flopy.utils.SwrStage(os.path.join(datapth, files[3]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a selection condition (`iprof`) that can be used to extract data for the reaches of interest (reaches 0, 1, and 8 through 17). Use this selection condition to extract reach lengths (from `sd['RLEN']`) and the bottom elevation (from `sd['BELEV']`) for the reaches of interest. The selection condition will also be used to extract the stage data for reaches of interest."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"iprof = sd['IRCH'] > 0\n",
"iprof[2:8] = False\n",
"dx = np.extract(iprof, sd['RLEN'])\n",
"belev = np.extract(iprof, sd['BELEV'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a fake model instance so that the `ModelCrossSection` class can be used."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"ml = flopy.modflow.Modflow()\n",
"dis = flopy.modflow.ModflowDis(ml, nrow=1, ncol=dx.shape[0], delr=dx, top=4.5, botm=belev.reshape(1,1,12))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create an array with the x position at the downstream end of each reach, which will be used to color the plots below each reach. "
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"x = np.cumsum(dx)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plot simulated water surface profiles for 8 times."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x864 with 8 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(12, 12))\n",
"for idx, v in enumerate([19, 29, 34, 39, 44, 49, 54, 59]):\n",
" ax = fig.add_subplot(4, 2, idx+1)\n",
" s = sobj.get_data(idx=v)\n",
" stage = np.extract(iprof, s['stage'])\n",
" xs = flopy.plot.PlotCrossSection(model=ml, line={'Row': 0})\n",
" xs.plot_fill_between(stage.reshape(1,1,12), colors=['none', 'blue'], ax=ax, edgecolors='none')\n",
" linecollection = xs.plot_grid(ax=ax, zorder=10)\n",
" ax.fill_between(np.append(0., x), y1=np.append(belev[0], belev), y2=-0.5, \n",
" facecolor='0.5', edgecolor='none', step='pre')\n",
" ax.set_title('{} hours'.format(times[v]))\n",
" ax.set_ylim(-0.5, 4.5)"
]
},
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"cell_type": "markdown",
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"source": [
"## Summary\n",
"\n",
"This notebook demonstrates flopy functionality for reading binary output generated by the SWR Process. Binary files that can be read include observations, stages, budgets, flow, reach-aquifer exchanges, and structure data. The binary stage data can also be used to create water-surface profiles. \n",
"\n",
"Hope this gets you started!"
]
}
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