AJMR-Python-Baird/EWR_D3D/DFM_Sens.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true,
"pycharm": {
"name": "#%% Scratch Script for EWR Flume Sensitivity Testing\n"
}
},
"outputs": [],
"source": [
"# Alexander Rey, 2021\n",
"\n",
"import os\n",
"import pandas as pd\n",
"import geopandas as gpd\n",
"import netCDF4 as nc\n",
"import math\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.cm as cm\n",
"\n",
"from scipy.interpolate import LinearNDInterpolator, interp1d\n",
"\n",
"from dfm_tools.get_nc import get_netdata, get_ncmodeldata, plot_netmapdata\n",
"from dfm_tools.get_nc_helpers import get_timesfromnc, get_ncfilelist, get_hisstationlist, get_ncvardimlist, get_timesfromnc\n",
"import cartopy.crs as ccrs\n",
"import contextily as ctx\n",
"from dfm_tools.regulargrid import scatter_to_regulargrid\n",
"import pathlib as pl"
]
},
{
"cell_type": "code",
"execution_count": 22,
"outputs": [],
"source": [
"# runLog = pd.read_excel(\"Y:/12828.101 English Wabigoon River/06_Models/00_Delft3D/ModelRuns.xlsx\", \"Sensitivity\")\n",
"pth = pl.Path(\"//srv-ott3.baird.com/\", \"Projects\", \"12828.101 English Wabigoon River\", \"06_Models\", \"00_Delft3D\", \"ModelRuns.xlsx\")\n",
"runLog = pd.read_excel(pth.as_posix(), \"Sensitivity\")\n",
"\n",
"dataPath = \"FlowFM_map.nc\"\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Read Model Log\n"
}
}
},
{
"cell_type": "code",
"execution_count": 31,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"( nc_varkeys shape dimensions \\\n",
"0 station_name (3, 20) (nStations, name_len) \n",
"1 station_x (3,) (nStations,) \n",
"2 station_y (3,) (nStations,) \n",
"3 station_z (3,) (nStations,) \n",
"4 nhistory_dlwq_time (2401,) (nhistory_dlwq_time,) \n",
"5 history_dlwq_time_bnd (2401, 2) (nhistory_dlwq_time, two) \n",
"6 IM1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"7 Hg (2401, 3) (nhistory_dlwq_time, nStations) \n",
"8 IM1S1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"9 HgS1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"10 Tau (2401, 3) (nhistory_dlwq_time, nStations) \n",
"11 Depth (2401, 3) (nhistory_dlwq_time, nStations) \n",
"12 fResS1DM (2401, 3) (nhistory_dlwq_time, nStations) \n",
"13 fResS1IM1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"14 fResS2IM1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"15 DMS1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"16 FrHgIM1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"17 fResS1Hg (2401, 3) (nhistory_dlwq_time, nStations) \n",
"18 fResS2Hg (2401, 3) (nhistory_dlwq_time, nStations) \n",
"19 Velocity (2401, 3) (nhistory_dlwq_time, nStations) \n",
"20 CHEZY (2401, 3) (nhistory_dlwq_time, nStations) \n",
"21 TotalDepth (2401, 3) (nhistory_dlwq_time, nStations) \n",
"22 TauVELOC (2401, 3) (nhistory_dlwq_time, nStations) \n",
"23 CalVelTau (2401, 3) (nhistory_dlwq_time, nStations) \n",
"24 DisHg (2401, 3) (nhistory_dlwq_time, nStations) \n",
"25 QHgSS (2401, 3) (nhistory_dlwq_time, nStations) \n",
"26 KdHgSS (2401, 3) (nhistory_dlwq_time, nStations) \n",
"27 ActThS1 (2401, 3) (nhistory_dlwq_time, nStations) \n",
"\n",
" dtype standard_name \\\n",
"0 |S1 \n",
"1 float64 projection_x_coordinate \n",
"2 float64 projection_y_coordinate \n",
"3 float64 projection_z_coordinate \n",
"4 int32 time \n",
"5 int32 \n",
"6 float32 \n",
"7 float32 \n",
"8 float32 \n",
"9 float32 \n",
"10 float32 Tau \n",
"11 float32 \n",
"12 float32 \n",
"13 float32 \n",
"14 float32 \n",
"15 float32 \n",
"16 float32 \n",
"17 float32 \n",
"18 float32 \n",
"19 float32 \n",
"20 float32 \n",
"21 float32 \n",
"22 float32 \n",
"23 float32 \n",
"24 float32 \n",
"25 float32 \n",
"26 float32 \n",
"27 float32 \n",
"\n",
" long_name \\\n",
"0 monitoring point/area \n",
"1 x-coordinate \n",
"2 y-coordinate \n",
"3 z-coordinate \n",
"4 time \n",
"5 \n",
"6 inorganic matter (IM1) (gDM/m3) \n",
"7 Mercury (Hg) (g/m3) \n",
"8 IM1 in layer S1 (gDM/m2) \n",
"9 Hg in layer S1 (g/m2) \n",
"10 total bottom shear stress (N/m2) \n",
"11 depth of segment (m) \n",
"12 total resuspension flux DM from layer S1 (g/m2/d) \n",
"13 resuspension flux IM1 from layer S1 (g/m2/d) \n",
"14 resuspension flux IM1 from layer S2 (g/m2/d) \n",
"15 total amount of dry matter in layer S1 (gDM/m2) \n",
"16 fraction Hg adsorbed to IM1 (-) \n",
"17 resuspension flux Hg from layer S1 (gHg/m2/d) \n",
"18 resuspension flux Hg from layer S2 (gHg/m2/d) \n",
"19 horizontal flow velocity (m/s) \n",
"20 Chezy coefficient (m0.5/s) \n",
"21 total depth water column (m) \n",
"22 bottom shear stress caused by flow velocities ... \n",
"23 calculated 'velocity' from total tau (m/s) \n",
"24 free dissolved Hg in water column (gHg/m3) \n",
"25 overall quality suspended solid for Hg (mgHg/k... \n",
"26 overall partition coefficient Hg in SS (m3/kgDM) \n",
"27 actual thickness layer S1 (m) \n",
"\n",
" coordinates \\\n",
"0 \n",
"1 \n",
"2 \n",
"3 \n",
"4 \n",
"5 \n",
"6 station_x station_y station_z station_name \n",
"7 station_x station_y station_z station_name \n",
"8 station_x station_y station_z station_name \n",
"9 station_x station_y station_z station_name \n",
"10 station_x station_y station_z station_name \n",
"11 station_x station_y station_z station_name \n",
"12 station_x station_y station_z station_name \n",
"13 station_x station_y station_z station_name \n",
"14 station_x station_y station_z station_name \n",
"15 station_x station_y station_z station_name \n",
"16 station_x station_y station_z station_name \n",
"17 station_x station_y station_z station_name \n",
"18 station_x station_y station_z station_name \n",
"19 station_x station_y station_z station_name \n",
"20 station_x station_y station_z station_name \n",
"21 station_x station_y station_z station_name \n",
"22 station_x station_y station_z station_name \n",
"23 station_x station_y station_z station_name \n",
"24 station_x station_y station_z station_name \n",
"25 station_x station_y station_z station_name \n",
"26 station_x station_y station_z station_name \n",
"27 station_x station_y station_z station_name \n",
"\n",
" units mesh location ndims \n",
"0 2 \n",
"1 m 1 \n",
"2 m 1 \n",
"3 m 1 \n",
"4 seconds since 2001-01-01 00:00:00 +00:00 1 \n",
"5 2 \n",
"6 2 \n",
"7 2 \n",
"8 2 \n",
"9 2 \n",
"10 2 \n",
"11 2 \n",
"12 2 \n",
"13 2 \n",
"14 2 \n",
"15 2 \n",
"16 2 \n",
"17 2 \n",
"18 2 \n",
"19 2 \n",
"20 2 \n",
"21 2 \n",
"22 2 \n",
"23 2 \n",
"24 2 \n",
"25 2 \n",
"26 2 \n",
"27 2 , nc_dimkeys name size\n",
"0 nStations nStations 3\n",
"1 name_len name_len 20\n",
"2 nhistory_dlwq_time nhistory_dlwq_time 2401\n",
"3 two two 2)\n",
"varname found in long_name attribute\n",
"reading time dimension: reconstruct array\n",
"retrieving original timezone succeeded, no conversion to UTC/GMT applied\n"
]
}
],
"source": [
"modelPlot = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
"modelPlot = [0]\n",
"\n",
"dataOUT = dict()\n",
"\n",
"for i in modelPlot:\n",
" file_nc_hist = pl.Path(runLog['Run Location'][i],'Water_Quality','output','deltashell_his.nc')\n",
"\n",
" # Print file variables\n",
" print(get_ncvardimlist(file_nc_hist.as_posix())\n",
" # Print file stations\n",
" # print(get_hisstationlist(file_nc_hist, 'Hg'))\n",
"\n",
" # Define extraction variables\n",
" dataVars = ['Hg', 'IM1', 'HgS1', 'FrHgIM1', 'DisHg', 'QHgSS']\n",
" for v in dataVars:\n",
" # Extract data from NetCDF file\n",
" dataIN = get_ncmodeldata(file_nc=file_nc_hist.as_posix(), varname=v, timestep='all', station=1, silent=True)\n",
"\n",
" # Convert to Numpy array\n",
" if i==modelPlot[0]:\n",
" dataOUT[v] = np.array(dataIN)\n",
" else:\n",
" dataOUT[v] = np.hstack((dataOUT[v], np.array(dataIN)))\n",
"\n",
"# Extract time\n",
"dataTime = get_timesfromnc(file_nc_hist)\n",
"\n",
"# Clean up input variables\n",
"del dataIN\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Import using DFM functions\n"
}
}
},
{
"cell_type": "code",
"execution_count": 68,
"outputs": [
{
"data": {
"text/plain": "<Figure size 648x1080 with 6 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(nrows=3, ncols=2, figsize=(9, 15))\n",
"fig.patch.set_facecolor('white')\n",
"fig.tight_layout(pad=3)\n",
"ax = axes.flat\n",
"\n",
"cmap = cm.get_cmap('Paired')\n",
"\n",
"dataVars = ['Hg', 'IM1', 'HgS1', 'FrHgIM1', 'DisHg', 'QHgSS']\n",
"dataVarsLabel = ['Hg (g/m3)', 'IM1 (gDM/m3)', 'HgS1 (gDM/m2)', 'FrHgIM1 (-)', 'DisHg (gHg/m3)', 'QHgSS (mgHg/kgDM)']\n",
"dataVarsLegend = ['Mercury', ' Inorganic matter in water', 'Inorganic matter in layer S1',\n",
" 'Fraction Hg adsorbed to inorganic matter', 'Free dissolved Hg in water column',\n",
" 'Overall quality suspended solid for Hg']\n",
"for vIDX, v in enumerate(dataVars):\n",
"\n",
" # Loop through sensitivity runs\n",
" for i in modelPlot:\n",
" if i == 0:\n",
" ax[vIDX].plot(dataTime, dataOUT[v][:,i], color='k', linewidth=3)\n",
" else:\n",
" ax[vIDX].plot(dataTime, dataOUT[v][:,i], color=cmap.colors[i-1], linewidth=1)\n",
"\n",
" # Plot settings\n",
" ax[vIDX].set_ylabel(dataVarsLabel[vIDX])\n",
" ax[vIDX].set_title(dataVarsLegend[vIDX])\n",
"\n",
" if vIDX == 0:\n",
" ax[vIDX].legend(runLog['Short Description'], loc='upper right')\n",
"\n",
"plt.gcf().autofmt_xdate()\n",
"# plt.gcf().align_ylabels()\n",
"plt.show()\n",
"\n",
"\n",
"fig.savefig('C:/Users/arey/files/Projects/Grassy Narrows/Modelling/FlumeTest/SensTest/Figures/SensTestParams.pdf',\n",
" bbox_inches='tight')\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Plot Sensitivity Data\n"
}
}
}
],
"metadata": {
"kernelspec": {
"name": "pycharm-b2185061",
"language": "python",
"display_name": "PyCharm (NTC_DFM)"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}