Flow Hydro Consulting's numerical modeling group Python library.
Project description
flow-modnum
Python library with utilities created for Flow Hydro Consulting numerical modeling group.
Introduction
flow-modnum is a library with utilites created for Flow Hydro Consulting numerical modeling group. The utilites were built to plot results from MODFLOW models, such as water levels, concentrations, properties, among others. flow-modnum supports MODFLOW-USG. Results from model's are generated using PEST's Groundwater Utilities (https://pesthomepage.org/programs)
Documentation
Installation
flow-modnum requires Python 3.12.4+ with:
numpy >=1.26.4
matplotlib >=3.8.4
pandas >=2.2.2
folium >= 0.18.0
plotly >= 5.22.0
pyproj >= 3.6.1
tqdm >= 4.66.4
geopandas >= 1.0.1
fiona >= 1.9.6
shapely >= 2.0.5
scipy >= 1.13.1
scikit-image >= 0.23.2
pip install flow-modnum
Getting Started
Plotting MODFLOW-USG model results water table results
from flowmodnum import water_levels
# Function to plot hydrograms
water_levels.plot_hydrograms(obs_dir, model_dir, wells_dir, scale, date_ini, format_date='%d/%m/%Y', lang='EN')
"""
Function to plot water level hydrograms form MODFLOW-USG output files.
Arguments:
obs_dir: (str) Directory to observation data. Format as John Doherty's Groundwater Utilities.
model_dir: (str) Directory to model files.
wells_dir: (str) Directory to table containing wells. Columns must be: "Well_Name" "X_Coordinate" "Y_Coordinate" "Model_Layer"
scale: (float/int) Vertical scale (+- from mean values)
date_ini: (str) Initial date. Must be the same format as format_date.
format_date: (str) (Optional) Date format to build DataFrames. Default is '%d/%m/%Y'
lang: (str) (Optional) Language. Can choose between EN and SP. Default is EN.
Outputs: Folder with hydrograms for each well.
"""
# Function to plot fit between observed and simulated values
water_levels.plot_fit(obs_dir, model_dir, wells_dir, date_ini, format_date='%d/%m/%Y', lang='EN')
"""
Function to plot simulated fit to observed data from MODFLOW-USG output files.
Arguments:
obs_dir: (str) Directory to observation data. Format as John Doherty's Groundwater Utilities.
model_dir: (str) Directory to model files.
wells_dir: (str) Directory to table containing wells. Columns must be: "Well_Name" "X_Coordinate" "Y_Coordinate" "Model_Layer"
scale: (float/int) Vertical scale (+- from mean values)
date_ini: (str) Initial date. Must be the same format as format_date.
format_date:(str) (Optional) Date format to build DataFrames. Default is '%d/%m/%Y'
lang: (str) (Optional) Language. Can choose between EN and SP. Default is EN.
Output: Fit plot image.
"""
# Function to get fit statistics between observed and simulated values
water_levels.get_stats(obs_dir, model_dir, wells_dir, date_ini, format_date='%d/%m/%Y', lang='EN')
"""
Function to generate table with fit statistics from MODFLOW-USG output files.
Arguments:
obs_dir: (str) Directory to observation data. Format as John Doherty's Groundwater Utilities.
model_dir: (str) Directory to model files.
wells_dir: (str) Directory to table containing wells. Columns must be: "Well_Name" "X_Coordinate" "Y_Coordinate" "Model_Layer"
scale: (float/int) Vertical scale (+- from mean values)
date_ini: (str) Initial date. Must be the same format as format_date.
format_date: (str) (Optional) Date format to build DataFrames. Default is '%d/%m/%Y'
lang: (str) (Optional) Language. Can choose between EN and SP. Default is EN.
Output: Fit stats on .csv file.
"""
# Function to generate interactive map with hydrograms
water_levels.mapped_hydrograms(obs_dir, model_dir, EPSG, wells_dir, date_ini, format_date='%d/%m/%Y', lang='EN', grid_dir=None)
"""
Function to plot water level hydrograms on map from MODFLOW-USG output files.
Arguments:
obs_dir: (str) Directory to observation data. Format as John Doherty's Groundwater Utilities.
model_dir: (str) Directory to model files.
EPSG: (int) EPSG code to which all coordinated are referenced.
wells_dir: (str) Directory to table containing wells. Columns must be: "Well_Name" "X_Coordinate" "Y_Coordinate" "Model_Layer"
scale: (float) Vertical scale (+- from mean values)
date_ini: (str) Initial date. Must be the same format as format_date.
format_date: (str)(Optional) Date format to build DataFrames. Default is '%d/%m/%Y'
lang: (str) (Optional) Language. Can choose between EN and SP. Default is EN.
grid_dir: (str) (Optional) Directory to model grid to plot on map. Shapefile format. Must be referenced to EPSG.
Outputs: .html file with interactive map with wells. Each wells shows hydrograms on click.
"""
# Function to generate contours for given layers and stress periods
water_levels.generate_contours(model_dir, date_ini, layers, sps, EPSG, levels, dry_cells = -999.99)
"""
Function to generate water level contours (shapefiles) from MODFLOW-USG output file.
Arguments:
hds_dir: (str) Directory to MODFLOW-USG .hds file.
gsf_dir: (str) Directory to MODFLOW-USG .gsf file.
date_ini: (str) Initial date of model. Format dd/mm/YYYY.
layers: (list) Layers to extract contours of water levels.
sps: (list) Stress periods to extract contours of water levels.
EPSG: (int) EPSG code to which all coordinated are referenced.
levels: (list) Contours levels
dry_cells: (float) (Optional) Value assigned to dry cells by model.
Outputs: Folder with shapefiles for desired contours.
"""
Additional flow-modnum Resources
Questions
Do not open issues for general support questions. We want to keep GitHub issues for bug reports and feature requests. General support questions are better answered in the Discussions on the flow-modnum GitHub repository. If using Stack Overflow, questions should be tagged with tag flow-modnum.
To save your and our time, we will systematically close all issues that are requests for general support and redirect people to Stack Overflow or the MODFLOW google group.
Contributing
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MODFLOW Resources
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