groundwater

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Python library for reading and writing well data using Log ASCII Standard (LAS) files

🍝 Pastas is an open-source Python framework for the analysis of groundwater time series.

MODFLOW 6 Repository

Groundwater Time Series Modeling Challenge

Groundwater timeseries analysis of hydrographs

Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

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;

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

A package for audio-frequency magnetotellurics

Python code to process, build and visualize MODFLOW models in the Netherlands. Model data is stored in a xarray Datasets and geopandas GeoDataFrames.

R interface to the South Florida Water Management District's DBHYDRO Database 💦🌴

Module for loading observation data into custom DataFrames

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

🍝 🏪 Tools for managing timeseries and Pastas models

Convert MODFLOW input files to Python

pumpingtest is a R package designed for the analysis and evaluation of aquifer tests in wells. The package includes the most common analytical solutions used to describe groundwater flow in different types of aquifers around wells.

Spatial interpolation of groundwater level for realistic flow dynamics

Multivariate timeseries analysis using dynamic factor modelling.

Hydrologic AnalySis Package. See official source code: https://code.usgs.gov/water/stats/hasp