Make massive MODFLOW models
This package is currently maturing on the way to a stable release. It is being actively used and developed at Deltares. To make it easier for others to use this package, the documentation still needs significant work. The API reference is fairly complete, but high level overviews and more examples are still lacking. Extending Modflow 6 support is also planned.
The imod Python package is designed to help you in your MODFLOW groundwater modeling efforts. It makes it easy to go from your raw data to a fully defined MODFLOW model, with the aim to make this process reproducable. Whether you want to build a simple 2D conceptual model, or a complex 3D regional model with millions of cells, imod-python scales automatically by making use of dask.
Currently we support the creation of the following MODFLOW-based models:
- USGS MODFLOW 6, structured grids only, and no advanced stress packages yet (LAK, MAW, SFR, UZF)
- iMOD-WQ, which integrates SEAWAT (density-dependent groundwater flow) and MT3DMS (multi-species reactive transport calculations)
Source code: https://gitlab.com/deltares/imod/imod-python
Interactive notebook examples:
import imod # read and write IPF files to pandas DataFrame df = imod.ipf.read('wells.ipf') imod.ipf.save('wells-out.ipf', df) # get all calculated heads in a xarray DataArray # with dimensions time, layer, y, x da = imod.idf.open('path/to/results/head_*.idf') # create a groundwater model # abridged example, see examples for the full code gwf_model = imod.mf6.GroundwaterFlowModel() gwf_model["dis"] = imod.mf6.StructuredDiscretization( top=200.0, bottom=bottom, idomain=idomain ) gwf_model["chd"] = imod.mf6.ConstantHead( head, print_input=True, print_flows=True, save_flows=True ) simulation = imod.mf6.Modflow6Simulation("ex01-twri") simulation["GWF_1"] = gwf_model simulation.time_discretization(times=["2000-01-01", "2000-01-02"]) simulation.write(modeldir)
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