Pastas is an open-source Python framework for the analysis of groundwater time series.
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Updated
Jun 14, 2024 - Python
Pastas is an open-source Python framework for the analysis of groundwater time series.
A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.
Module for loading observation data into custom DataFrames
Python package to Create, Read, Write, Edit, and Visualize GSFLOW models
Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.
A package for audio-frequency magnetotellurics
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
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;
Multivariate timeseries analysis using dynamic factor modelling.
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
🍝 🏪 Tools for managing timeseries and Pastas models
From Peeters 2014 in Groundwater; ArcGIS Python Toolbox; Piper Diagram; Water Chemistry
Groundwater pumping estimation in Arizona using remote sensing datasets and machine learning
A tool for conversion between Δg and groundwater storage changes. https://doi.org/10.1016/j.envsoft.2022.105340
Hydro Analyser is is a first ever open source tool designed for hydrogeologists, engineers, and other professionals in the water resources industry to accurately analyze and optimize groundwater pumping tests
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 hydro-economic model for groundwater supply and cost
Python based visualization of IWFM input and output
Python library for working with Integrated Water Flow Models
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