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Scripting MODFLOW Model Development Using Python and FloPy.
Bakker, M; Post, V; Langevin, C D; Hughes, J D; White, J T; Starn, J J; Fienen, M N.
Afiliación
  • Bakker M; mark.bakker@tudelft.nl.
  • Post V; Flinders University, Adelaide, South Australia.
  • Langevin CD; Currently at Federal Institute for Geosciences and Natural Resources, BGR, Hannover, Germany.
  • Hughes JD; U.S. Geological Survey, Reston, VA.
  • White JT; U.S. Geological Survey, Reston, VA.
  • Starn JJ; U.S. Geological Survey, Texas Water Science Center, Austin, TX.
  • Fienen MN; U.S. Geological Survey, East Hartford, CT.
Ground Water ; 54(5): 733-739, 2016 09.
Article en En | MEDLINE | ID: mdl-27027984
Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models. Scripting model development with the programming language Python is presented here as an alternative approach. One advantage of Python is that there are many packages available to facilitate the model development process, including packages for plotting, array manipulation, optimization, and data analysis. For MODFLOW-based models, the FloPy package was developed by the authors to construct model input files, run the model, and read and plot simulation results. Use of Python with the available scientific packages and FloPy facilitates data exploration, alternative model evaluations, and model analyses that can be difficult to perform with GUIs. Furthermore, Python scripts are a complete, transparent, and repeatable record of the modeling process. The approach is introduced with a simple FloPy example to create and postprocess a MODFLOW model. A more complicated capture-fraction analysis with a real-world model is presented to demonstrate the types of analyses that can be performed using Python and FloPy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agua Subterránea / Lenguajes de Programación Límite: Humans Idioma: En Revista: Ground Water Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agua Subterránea / Lenguajes de Programación Límite: Humans Idioma: En Revista: Ground Water Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos