KarstID R package: a Shiny application for analyzing karst spring hydrographs
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Updated
Jul 19, 2024 - R
KarstID R package: a Shiny application for analyzing karst spring hydrographs
Analytic Element Modeling of Steady Single-Layer Groundwater Flow in R
Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
Lecture material for the Master Course "Geodata Analysis II - Machine Learning and Big Data" at Karlsruhe Institute of Technology (KIT)
Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group
Research website
A Random Walk Particle Tracking code for solute transport in heterogeneous aquifers
R-API to the multiphysics simulator OpenGeoSys 6. THIS IS A MIRROR OF: https://gitlab.opengeosys.org/ogs/tools/r2ogs6
Tools used to manipulate hydrograph data; Solinst xles to pandas dataframe; hydrograph analysis; hydrology; Gannt Charts; Piper diagrams; hydrogeology; wells; groundwater; USGS data; WQP data;
A Python interface based on FloPy to configure input files for MODPATH-RW
Groundwater timeseries analysis of hydrographs
Lecture material for the Master Course "Hydraulic Methods" at Karlsruhe Institute of Technology (KIT)
CFPy - a Python package for the generation of MODFLOW-CFP specific input files (.cfp, .crch, .coc). CFPy is the FloPy-equivalent package for MODFLOW-CFP.
Python library allowing reading/writing GeoStudio .gsz file
Material for teaching hydro-related subjects
Mapping of groundwater level for realistic flow flowpaths using semi-automated kriging.
For the application of standardized Schoeller diagrams, we have developed a plot tool that allows standardized Schoeller diagrams to be plotted with minimal effort and only one command in the Matlab programming environment.
An intelligent package for solving hydrogeology engineering issues
Python package for analyzing A-DInSAR time series.
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