This is unfortunate because such data are often rich in information and the prediction of concentration values is of great interest for decision making. The simulation of concentration values and use of such data for history-matching is often impeded by the computation time of groundwater transport models based on the resolution of the advection-dispersion equation. 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. The approach is introduced with a simple FloPy example to create and postprocess a MODFLOW model. Furthermore, Python scripts are a complete, transparent, and repeatable record of the modeling process. 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. 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. 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. Scripting model development with the programming language Python is presented here as an alternative approach. Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models.
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