Delta Hydro

Pastas

Active

Time-series analysis of groundwater heads in Python — transfer-function models instead of full aquifer simulation.

by TU Delft / Artesia

Pricing
Open Source
License
MIT
Commercial use
Permitted
Ecosystem
Python, pandas
Platform
Windows, macOS, Linux

Install

pip install pastas

About Pastas

Pastas (TU Delft / Artesia) analyses groundwater head time series with transfer-function noise models: it decomposes observed heads into responses to rainfall, evaporation, pumping and other stresses, quantifying each driver's contribution without building a spatial model at all.

For questions like "how much of this decline is the new wellfield versus the drought," Pastas often answers in an afternoon what a calibrated MODFLOW model answers in a month. It has become the standard tool for head-series analysis in the Netherlands and is spreading with good reason.

Where it fits in the workflow

TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting

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