Examples

Below you can find examples of how Pastas models are used for the analysis of groundwater levels. Examples in the form of Python scripts can also be found on the examples directory on GitHub.

Basics

Preprocessing user-provided time series

A basic model

Fixating parameters while fitting

Calibration

Modeling with different timesteps

Stressmodels

Adding surface water levels

Adding pumping wells

Adding multiple wells

Adding trends

Changing response functions

Non-linear (Recharge) Models

Threshold non-linearities

Non-linear recharge models

Estimating recharge

Modeling snow

Model Evaluation

Comparing models visually

Diagnostic checking

Reducing autocorrelation

Uncertainty quantification

MCMC uncertainty

Applications

Standardized Groundwater Index

Groundwater signatures

STOWA Manual (Dutch only)

In 2021 the STOWA published a manual on time series analysis. This manual has some general notebooks on preprocessing data, model structure, calibration and assessment with Pastas. There are also more case-specific notebooks available on determining stresses, characteristics, system analysis and predicting. The notebooks (currently Dutch only) can be found here.