Example Gallery

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.

Tip

The latest versions of the Jupyter Notebooks can be found in the examples folder on GitHub!

A Basic Model

Time Series Analysis with Pastas

Model Diagnostic Checking

Adding river levels

Adding groundwater pumping

Adding Trends

Non-linear recharge models

Threshold Non-linearities

Calibrating Pastas models

Adding Multiple Wells

Standardized Groundwater Index (SGI)

Testing MCMC on Pastas Models

Reading Dutch Datasets

Reducing Autocorrelation

Estimating recharge

Uncertainty quantification

Changing response functions

Creating Equidistant Timeseries

Snow model

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8. Response functions

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A Basic Model