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rhugman / rtm-tutorial
Forked from p-ortega/rtm-tutorialReactive transport tutorial for GMDSI (Groundwater modelling decision support initiative)
mibitrans is an analytical subsurface contaminant transport modelling tool based on the three-dimensional advection–dispersion equation
Pastas is an open-source Python framework for the analysis of groundwater time series.
A python package for reactive transport modeling via the MODFLOW 6 and PhreeqcRM APIs
Python programs for CE-QUAL-W2 data analysis and visualization
Analytic element modeling of groundwater flow
An example for the MF6RTM (Modflow 6 Reactive Transport Model) package for a simple Aquifer Storage and Recovery (ASR) use case over a 3D grid (DISV).
python-based predictive groundwater modeling workflow examples
Materials and tutorials for the GMDSI Predictive Modeling Workshop in Santiago, 2025.
website | personal blog and other cool stuff
A python implementation of the adjoint-sensitivity analysis approach for MODFLOW 6
pyKasso is a python package to simulate stochastic karst conduit networks. It can be used as a preprocessing to simulate groundwater flow and solute transport in karstic systems.
additional benchmark examples rtm
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
Source identification for reactive transport