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This study introduces Python scripting with the FloPy package as an alternative to graphical user interfaces for building and analyzing groundwater flow and transport models. This approach offers enhanced transparency, repeatability, and advanced analysis capabilities for numerical modeling.

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Area of Science:

  • Hydrogeology
  • Computational Science
  • Environmental Modeling

Background:

  • Graphical User Interfaces (GUIs) are standard for numerical groundwater model development and postprocessing.
  • Scripting offers an alternative with potential advantages in flexibility and reproducibility.
  • Existing GUIs may present limitations for complex data exploration and model evaluations.

Purpose of the Study:

  • To present Python scripting as a viable alternative to GUIs for groundwater model development.
  • To introduce the FloPy package for streamlined MODFLOW model construction and analysis.
  • To demonstrate advanced data analysis and model evaluation capabilities using Python.

Main Methods:

  • Utilized Python programming language for scripting groundwater model development.
  • Employed the FloPy package to manage MODFLOW model input, execution, and output processing.
  • Demonstrated the approach with a simple MODFLOW model example and a complex capture-fraction analysis.

Main Results:

  • Python scripting with FloPy facilitates comprehensive data exploration and model analysis.
  • The approach provides a transparent, repeatable record of the entire modeling process.
  • Advanced analyses, such as capture-fraction, are more readily performed compared to GUI-based methods.

Conclusions:

  • Python scripting with FloPy offers a powerful and flexible alternative to GUIs for groundwater modeling.
  • This method enhances the transparency, reproducibility, and analytical depth of numerical simulations.
  • The approach is well-suited for complex groundwater flow and transport model development and evaluation.