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Area of Science:

  • Hydrogeology
  • Computational Science
  • Environmental Modeling

Background:

  • Groundwater flow and transport modeling are crucial for environmental management.
  • MODFLOW is a widely used software for simulating groundwater flow.
  • Previous versions of FloPy had limitations in supporting advanced MODFLOW features and unstructured grids.

Purpose of the Study:

  • To introduce the expanded capabilities of the FloPy Python package.
  • To demonstrate FloPy's support for MODFLOW 6, including unstructured grids.
  • To showcase FloPy's utility in developing, running, and post-processing complex groundwater models.

Main Methods:

  • Development of FloPy to support MODFLOW 6 and unstructured grids.
  • Integration of geoprocessing tools for spatial and raster data.
  • Implementation of direct access to simulation output.
  • Enhancement of plotting functionalities for unstructured discretizations.
  • Addition of export capabilities to common data formats (shapefiles, NetCDF, VTK).

Main Results:

  • FloPy now fully supports structured and unstructured spatial discretizations in MODFLOW 6.
  • Geoprocessing capabilities allow for the development of model input from diverse data sources.
  • Direct access to simulation output and enhanced plotting facilitate model analysis.
  • Export options enable seamless integration with other scientific software for visualization and further analysis.

Conclusions:

  • The expanded FloPy package significantly simplifies the workflow for creating, running, and analyzing MODFLOW-based groundwater models, especially those utilizing unstructured grids.
  • FloPy's enhanced features empower researchers and practitioners to handle complex hydrogeological scenarios and integrate model results with other analytical tools.
  • The presented examples highlight FloPy's effectiveness in developing sophisticated unstructured models from raw data and visualizing simulation outcomes.