From 4302d62f547d8835f1427b52b7b0c3ff7d596482 Mon Sep 17 00:00:00 2001 From: Daniel Buckley Date: Wed, 17 Jan 2024 22:16:41 -0700 Subject: [PATCH] Start looking at SFR example --- notebooks/learning/gwf_sfr_p01.ipynb | 960 +++++++++++++++++++++++++++ 1 file changed, 960 insertions(+) create mode 100644 notebooks/learning/gwf_sfr_p01.ipynb diff --git a/notebooks/learning/gwf_sfr_p01.ipynb b/notebooks/learning/gwf_sfr_p01.ipynb new file mode 100644 index 0000000..f966f89 --- /dev/null +++ b/notebooks/learning/gwf_sfr_p01.ipynb @@ -0,0 +1,960 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import flopy as fp\n", + "from matplotlib.patches import Patch\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading simulation...\n", + " loading simulation name file...\n", + " loading tdis package...\n", + " loading model gwf6...\n", + " loading package dis...\n", + " loading package npf...\n", + " loading package sto...\n", + " loading package ic...\n", + " loading package ghb...\n", + " loading package wel...\n", + " loading package rch...\n", + " loading package evt...\n", + " loading package sfr...\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + "WARNING: Unable to resolve dimension of ('gwf6', 'sfr', 'connectiondata', 'connectiondata', 'ic') based on shape \"nconifno\".\n", + " loading package oc...\n", + " loading solution package ex-gwf-sfr-p01...\n" + ] + }, + { + "data": { + "text/plain": [ + "sim_name = ex-gwf-sfr-p01\n", + "sim_path = C:\\Users\\buckl\\Documents\\Software\\mf6.4.1\\examples\\ex-gwf-sfr-p01\n", + "exe_name = C:\\Users\\buckl\\Documents\\Software\\mf6.4.1\\bin\\mf6.exe\n", + "\n", + "###################\n", + "Package mfsim.nam\n", + "###################\n", + "\n", + "package_name = mfsim.nam\n", + "filename = mfsim.nam\n", + "package_type = nam\n", + "model_or_simulation_package = simulation\n", + "simulation_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ex-gwf-sfr-p01.tdis\n", + "###################\n", + "\n", + "package_name = ex-gwf-sfr-p01.tdis\n", + "filename = ex-gwf-sfr-p01.tdis\n", + "package_type = tdis\n", + "model_or_simulation_package = simulation\n", + "simulation_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ex-gwf-sfr-p01\n", + "###################\n", + "\n", + "package_name = ex-gwf-sfr-p01\n", + "filename = ex-gwf-sfr-p01.ims\n", + "package_type = ims\n", + "model_or_simulation_package = simulation\n", + "simulation_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "@@@@@@@@@@@@@@@@@@@@\n", + "Model ex-gwf-sfr-p01\n", + "@@@@@@@@@@@@@@@@@@@@\n", + "\n", + "name = ex-gwf-sfr-p01\n", + "model_type = gwf6\n", + "version = mf6\n", + "model_relative_path = \n", + "\n", + "###################\n", + "Package dis\n", + "###################\n", + "\n", + "package_name = dis\n", + "filename = ex-gwf-sfr-p01.dis\n", + "package_type = dis\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package npf\n", + "###################\n", + "\n", + "package_name = npf\n", + "filename = ex-gwf-sfr-p01.npf\n", + "package_type = npf\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package sto\n", + "###################\n", + "\n", + "package_name = sto\n", + "filename = ex-gwf-sfr-p01.sto\n", + "package_type = sto\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ic\n", + "###################\n", + "\n", + "package_name = ic\n", + "filename = ex-gwf-sfr-p01.ic\n", + "package_type = ic\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ghb_0\n", + "###################\n", + "\n", + "package_name = ghb_0\n", + "filename = ex-gwf-sfr-p01.ghb\n", + "package_type = ghb\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package wel_0\n", + "###################\n", + "\n", + "package_name = wel_0\n", + "filename = ex-gwf-sfr-p01.wel\n", + "package_type = wel\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package rcha_0\n", + "###################\n", + "\n", + "package_name = rcha_0\n", + "filename = ex-gwf-sfr-p01.rcha\n", + "package_type = rcha\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package evta_0\n", + "###################\n", + "\n", + "package_name = evta_0\n", + "filename = ex-gwf-sfr-p01.evta\n", + "package_type = evta\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package sfr_obs\n", + "###################\n", + "\n", + "package_name = sfr_obs\n", + "filename = ex-gwf-sfr-p01.sfr.obs\n", + "package_type = obs\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "parent_file = sfr_0\n", + "\n", + "\n", + "###################\n", + "Package sfr_0\n", + "###################\n", + "\n", + "package_name = sfr_0\n", + "filename = ex-gwf-sfr-p01.sfr\n", + "package_type = sfr\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package oc\n", + "###################\n", + "\n", + "package_name = oc\n", + "filename = ex-gwf-sfr-p01.oc\n", + "package_type = oc\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "workspace = Path(\"C:\\\\Users\\\\buckl\\\\Documents\\\\Software\\\\mf6.4.1\\\\examples\\\\ex-gwf-sfr-p01\")\n", + "sim_name = \"ex-gwf-sfr-p01\"\n", + "sim = fp.mf6.MFSimulation.load(\n", + " sim_name=sim_name,\n", + " version=\"mf6\",\n", + " exe_name=\"C:\\\\Users\\\\buckl\\\\Documents\\\\Software\\\\mf6.4.1\\\\bin\\\\mf6.exe\",\n", + " sim_ws=workspace\n", + ")\n", + "sim" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['ex-gwf-sfr-p01']" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim.model_names" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "name = ex-gwf-sfr-p01\n", + "model_type = gwf6\n", + "version = mf6\n", + "model_relative_path = \n", + "\n", + "###################\n", + "Package dis\n", + "###################\n", + "\n", + "package_name = dis\n", + "filename = ex-gwf-sfr-p01.dis\n", + "package_type = dis\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package npf\n", + "###################\n", + "\n", + "package_name = npf\n", + "filename = ex-gwf-sfr-p01.npf\n", + "package_type = npf\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package sto\n", + "###################\n", + "\n", + "package_name = sto\n", + "filename = ex-gwf-sfr-p01.sto\n", + "package_type = sto\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ic\n", + "###################\n", + "\n", + "package_name = ic\n", + "filename = ex-gwf-sfr-p01.ic\n", + "package_type = ic\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package ghb_0\n", + "###################\n", + "\n", + "package_name = ghb_0\n", + "filename = ex-gwf-sfr-p01.ghb\n", + "package_type = ghb\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package wel_0\n", + "###################\n", + "\n", + "package_name = wel_0\n", + "filename = ex-gwf-sfr-p01.wel\n", + "package_type = wel\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package rcha_0\n", + "###################\n", + "\n", + "package_name = rcha_0\n", + "filename = ex-gwf-sfr-p01.rcha\n", + "package_type = rcha\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package evta_0\n", + "###################\n", + "\n", + "package_name = evta_0\n", + "filename = ex-gwf-sfr-p01.evta\n", + "package_type = evta\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package sfr_obs\n", + "###################\n", + "\n", + "package_name = sfr_obs\n", + "filename = ex-gwf-sfr-p01.sfr.obs\n", + "package_type = obs\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "parent_file = sfr_0\n", + "\n", + "\n", + "###################\n", + "Package sfr_0\n", + "###################\n", + "\n", + "package_name = sfr_0\n", + "filename = ex-gwf-sfr-p01.sfr\n", + "package_type = sfr\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n", + "\n", + "###################\n", + "Package oc\n", + "###################\n", + "\n", + "package_name = oc\n", + "filename = ex-gwf-sfr-p01.oc\n", + "package_type = oc\n", + "model_or_simulation_package = model\n", + "model_name = ex-gwf-sfr-p01\n", + "\n" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = sim.get_model(model_name=\"ex-gwf-sfr-p01\")\n", + "model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "package_name = ex-gwf-sfr-p01.tdis\n", + "filename = ex-gwf-sfr-p01.tdis\n", + "package_type = tdis\n", + "model_or_simulation_package = simulation\n", + "simulation_name = ex-gwf-sfr-p01\n", + "\n", + "Block options\n", + "--------------------\n", + "time_units\n", + "{internal}\n", + "('seconds')\n", + "\n", + "\n", + "Block dimensions\n", + "--------------------\n", + "nper\n", + "{internal}\n", + "(3)\n", + "\n", + "\n", + "Block perioddata\n", + "--------------------\n", + "perioddata\n", + "{internal}\n", + "(rec.array([(0.00000e+00, 1, 1. ), (1.57788e+09, 50, 1.1),\n", + " (1.57788e+09, 50, 1.1)],\n", + " dtype=[('perlen', ']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim.check()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FloPy is using the following executable to run the model: ..\\..\\bin\\mf6.exe\n", + " MODFLOW 6\n", + " U.S. GEOLOGICAL SURVEY MODULAR HYDROLOGIC MODEL\n", + " VERSION 6.4.1 Release 12/09/2022\n", + "\n", + " MODFLOW 6 compiled Dec 09 2022 18:18:37 with Intel(R) Fortran Intel(R) 64\n", + " Compiler Classic for applications running on Intel(R) 64, Version 2021.7.0\n", + " Build 20220726_000000\n", + "\n", + "This software has been approved for release by the U.S. Geological \n", + "Survey (USGS). Although the software has been subjected to rigorous \n", + "review, the USGS reserves the right to update the software as needed \n", + "pursuant to further analysis and review. No warranty, expressed or \n", + "implied, is made by the USGS or the U.S. Government as to the \n", + "functionality of the software and related material nor shall the \n", + "fact of release constitute any such warranty. Furthermore, the \n", + "software is released on condition that neither the USGS nor the U.S. \n", + "Government shall be held liable for any damages resulting from its \n", + "authorized or unauthorized use. Also refer to the USGS Water \n", + "Resources Software User Rights Notice for complete use, copyright, \n", + "and distribution information.\n", + "\n", + " \n", + " Run start date and time (yyyy/mm/dd hh:mm:ss): 2024/01/17 22:13:06\n", + " \n", + " Writing simulation list file: mfsim.lst\n", + " Using Simulation name file: mfsim.nam\n", + " \n", + " Solving: Stress period: 1 Time step: 1\n", + " Solving: Stress period: 2 Time step: 1\n", + " Solving: Stress period: 2 Time step: 2\n", + " Solving: Stress period: 2 Time step: 3\n", + " Solving: Stress period: 2 Time step: 4\n", + " Solving: Stress period: 2 Time step: 5\n", + " Solving: Stress period: 2 Time step: 6\n", + " Solving: Stress period: 2 Time step: 7\n", + " Solving: Stress period: 2 Time step: 8\n", + " Solving: Stress period: 2 Time step: 9\n", + " Solving: Stress period: 2 Time step: 10\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Solving: Stress period: 2 Time step: 11\n", + " Solving: Stress period: 2 Time step: 12\n", + " Solving: Stress period: 2 Time step: 13\n", + " Solving: Stress period: 2 Time step: 14\n", + " Solving: Stress period: 2 Time step: 15\n", + " Solving: Stress period: 2 Time step: 16\n", + " Solving: Stress period: 2 Time step: 17\n", + " Solving: Stress period: 2 Time step: 18\n", + " Solving: Stress period: 2 Time step: 19\n", + " Solving: Stress period: 2 Time step: 20\n", + " Solving: Stress period: 2 Time step: 21\n", + " Solving: Stress period: 2 Time step: 22\n", + " Solving: Stress period: 2 Time step: 23\n", + " Solving: Stress period: 2 Time step: 24\n", + " Solving: Stress period: 2 Time step: 25\n", + " Solving: Stress period: 2 Time step: 26\n", + " Solving: Stress period: 2 Time step: 27\n", + " Solving: Stress period: 2 Time step: 28\n", + " Solving: Stress period: 2 Time step: 29\n", + " Solving: Stress period: 2 Time step: 30\n", + " Solving: Stress period: 2 Time step: 31\n", + " Solving: Stress period: 2 Time step: 32\n", + " Solving: Stress period: 2 Time step: 33\n", + " Solving: Stress period: 2 Time step: 34\n", + " Solving: Stress period: 2 Time step: 35\n", + " Solving: Stress period: 2 Time step: 36\n", + " Solving: Stress period: 2 Time step: 37\n", + " Solving: Stress period: 2 Time step: 38\n", + " Solving: Stress period: 2 Time step: 39\n", + " Solving: Stress period: 2 Time step: 40\n", + " Solving: Stress period: 2 Time step: 41\n", + " Solving: Stress period: 2 Time step: 42\n", + " Solving: Stress period: 2 Time step: 43\n", + " Solving: Stress period: 2 Time step: 44\n", + " Solving: Stress period: 2 Time step: 45\n", + " Solving: Stress period: 2 Time step: 46\n", + " Solving: Stress period: 2 Time step: 47\n", + " Solving: Stress period: 2 Time step: 48\n", + " Solving: Stress period: 2 Time step: 49\n", + " Solving: Stress period: 2 Time step: 50\n", + " Solving: Stress period: 3 Time step: 1\n", + " Solving: Stress period: 3 Time step: 2\n", + " Solving: Stress period: 3 Time step: 3\n", + " Solving: Stress period: 3 Time step: 4\n", + " Solving: Stress period: 3 Time step: 5\n", + " Solving: Stress period: 3 Time step: 6\n", + " Solving: Stress period: 3 Time step: 7\n", + " Solving: Stress period: 3 Time step: 8\n", + " Solving: Stress period: 3 Time step: 9\n", + " Solving: Stress period: 3 Time step: 10\n", + " Solving: Stress period: 3 Time step: 11\n", + " Solving: Stress period: 3 Time step: 12\n", + " Solving: Stress period: 3 Time step: 13\n", + " Solving: Stress period: 3 Time step: 14\n", + " Solving: Stress period: 3 Time step: 15\n", + " Solving: Stress period: 3 Time step: 16\n", + " Solving: Stress period: 3 Time step: 17\n", + " Solving: Stress period: 3 Time step: 18\n", + " Solving: Stress period: 3 Time step: 19\n", + " Solving: Stress period: 3 Time step: 20\n", + " Solving: Stress period: 3 Time step: 21\n", + " Solving: Stress period: 3 Time step: 22\n", + " Solving: Stress period: 3 Time step: 23\n", + " Solving: Stress period: 3 Time step: 24\n", + " Solving: Stress period: 3 Time step: 25\n", + " Solving: Stress period: 3 Time step: 26\n", + " Solving: Stress period: 3 Time step: 27\n", + " Solving: Stress period: 3 Time step: 28\n", + " Solving: Stress period: 3 Time step: 29\n", + " Solving: Stress period: 3 Time step: 30\n", + " Solving: Stress period: 3 Time step: 31\n", + " Solving: Stress period: 3 Time step: 32\n", + " Solving: Stress period: 3 Time step: 33\n", + " Solving: Stress period: 3 Time step: 34\n", + " Solving: Stress period: 3 Time step: 35\n", + " Solving: Stress period: 3 Time step: 36\n", + " Solving: Stress period: 3 Time step: 37\n", + " Solving: Stress period: 3 Time step: 38\n", + " Solving: Stress period: 3 Time step: 39\n", + " Solving: Stress period: 3 Time step: 40\n", + " Solving: Stress period: 3 Time step: 41\n", + " Solving: Stress period: 3 Time step: 42\n", + " Solving: Stress period: 3 Time step: 43\n", + " Solving: Stress period: 3 Time step: 44\n", + " Solving: Stress period: 3 Time step: 45\n", + " Solving: Stress period: 3 Time step: 46\n", + " Solving: Stress period: 3 Time step: 47\n", + " Solving: Stress period: 3 Time step: 48\n", + " Solving: Stress period: 3 Time step: 49\n", + " Solving: Stress period: 3 Time step: 50\n", + " \n", + " Run end date and time (yyyy/mm/dd hh:mm:ss): 2024/01/17 22:13:06\n", + " Elapsed run time: 0.218 Seconds\n", + " \n", + " Normal termination of simulation.\n" + ] + } + ], + "source": [ + "success, buff = sim.run_simulation()\n", + "assert success, \"MODFLOW did not terminate normally!\"" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(nrows=1, ncols=2, sharey=True, squeeze=True, figsize=(10, 6))\n", + "\n", + "# plot top elevations\n", + "top_msk = np.ma.masked_array(\n", + " data=model.get_package(\"dis\").top.data,\n", + " mask=model.get_package(\"dis\").idomain.data == 0,\n", + ")\n", + "mapview_tlv = fp.plot.PlotMapView(model=model, ax=ax[0])\n", + "mapview_tlv.plot_ibound(alpha=0.5)\n", + "mapview_tlv.plot_grid()\n", + "tlv_fill = mapview_tlv.plot_array(top_msk, cmap=\"terrain\", alpha=0.5)\n", + "plt.colorbar(tlv_fill, location=\"right\", ticks=np.arange(1000, 1110, 20))\n", + "mapview_tlv.contour_array(\n", + " top_msk, levels=np.arange(1000, 1110, 20), colors=\"black\", linestyles=\"dotted\"\n", + ")\n", + "mapview_tlv.plot_bc(\"SFR\", color=\"tab:orange\", alpha=0.8)\n", + "ax[0].legend(\n", + " handles=[Patch(color=\"tab:orange\", alpha=0.8, label=\"SFR\")], loc=\"upper right\"\n", + ")\n", + "ax[0].set_yticks([])\n", + "ax[0].set_title(\"Land surface elevation\", loc=\"left\", fontweight=\"bold\")\n", + "\n", + "# plot bottom elevations\n", + "botm_msk = np.ma.masked_array(\n", + " data=model.get_package(\"dis\").botm.data,\n", + " mask=model.get_package(\"dis\").idomain.data == 0,\n", + ")\n", + "mapview_blv = fp.plot.PlotMapView(model=model, ax=ax[1])\n", + "mapview_blv.plot_ibound(alpha=0.5)\n", + "mapview_blv.plot_grid()\n", + "blv_fill = mapview_blv.plot_array(botm_msk, cmap=\"terrain\", alpha=0.5)\n", + "plt.colorbar(blv_fill, location=\"right\")\n", + "mapview_blv.contour_array(\n", + " botm_msk, levels=np.arange(600, 1000, 100), colors=\"black\", linestyles=\"dotted\"\n", + ")\n", + "mapview_blv.plot_bc(\"GHB\", color=\"tab:pink\", alpha=0.8)\n", + "mapview_blv.plot_bc(\"WEL\", color=\"tab:red\", kper=1, alpha=0.8)\n", + "ax[1].legend(\n", + " handles=[\n", + " Patch(color=\"tab:pink\", alpha=0.8, label=\"GHB\"),\n", + " Patch(color=\"tab:red\", alpha=0.8, label=\"WEL\"),\n", + " ],\n", + " loc=\"upper right\",\n", + ")\n", + "ax[1].set_title(\"Bottom elevation\", loc=\"left\", fontweight=\"bold\")\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}