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CFPy-A Python Package for Pre- and Postprocessing of the Conduit Flow Process of MODFLOW.

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CFPy is a new Python package simplifying complex groundwater modeling. It enables script-based conduit flow process (CFP) simulations for karst systems, improving scalability and reproducibility.

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Area of Science:

  • Hydrogeology
  • Computational modeling
  • Geosciences

Background:

  • The Conduit Flow Process (CFP) models complex groundwater systems like karst using coupled discrete-continuum approaches.
  • Traditional CFP preprocessing requires significant effort, often relying on graphical user interfaces, limiting scalability and reproducibility.

Purpose of the Study:

  • To introduce CFPy, a Python package designed to streamline and enhance CFP modeling workflows.
  • To enable script-based, scalable, and reproducible simulations of groundwater flow in karst environments.

Main Methods:

  • Aggregation of existing and new routines into a unified Python package (CFPy).
  • Integration with the widely used FloPy package for harmonized modeling.
  • Inclusion of user-specific and stochastic methods for conduit network generation.
  • Development of additional postprocessing routines for enhanced analysis.

Main Results:

  • CFPy facilitates script-based modeling, overcoming limitations of graphical user interfaces for CFP.
  • The package supports various conduit network generation methods, including stochastic approaches for multi-model investigations.
  • Enhanced postprocessing routines offer greater control and insights into CFP simulations.

Conclusions:

  • CFPy provides a scalable, reproducible, and comprehensive workflow for CFP groundwater modeling.
  • The package empowers researchers with advanced capabilities for investigating complex hydrogeological systems like karst.