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!

Click on one of the examples below:

Preprocessing user-provided time series

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

Reducing Autocorrelation

Estimating recharge

Uncertainty quantification

Changing response functions

Snow model

Groundwater signatures

Comparing models visually