Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
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Updated
Jun 17, 2024 - Python
Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
Pastas is an open-source Python framework for the analysis of groundwater time series.
Module for loading observation data into custom DataFrames
VarSatFlow: A Variably Saturated groundwater Flow model to simulate large scale multidimensional problems proposed in Shadab and Hesse (2024), Advances in Water Resources, Elsevier. The repository has 1D/2D codes of VarSatFlow model to replicate to the corresponding figures.
Field-scale groundwater pumping estimation using OpenET
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;
sondera is a python package providing clients for accessing Swedish hydrology and meteorology related open data. Data sources currently include SMHI open data API and SGU groundwater API.
A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.
Phase-averaged tidal boundary condition for numerical groundwater flow models in flopy with MODFLOW-2005, SEAWAT, and MODFLOW 6
Python package to Create, Read, Write, Edit, and Visualize GSFLOW models
🍝 🏪 Tools for managing timeseries and Pastas models
GitHub Action to set up MODFLOW executables
A hydro-economic model for groundwater supply and cost
Python library for working with Integrated Water Flow Models
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
Multivariate timeseries analysis using dynamic factor modelling.
Workflow to fill in missing time series values applied to analyzing groundwater from space.
Python package for retrieving data from Aquarius Web Portal implementation APIs
Python package for reading & writing WellCAD ASCII file formats
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