Time series modeling of Groundwater levels with Pastas – April 14th-16th, 2026, Milano

Description

April 14th-16th, 2026, Milano (Italy)

Time series analysis may be applied to answer many groundwater questions without the need for a regular groundwater model, such as what is the drawdown caused by a pumping station? Or, how long will it take before groundwater levels recover after a period of drought? For a more detailed overview, see: Bakker and Schaars (2019).

This workshop provides a theoretical and practical introduction to time series modeling of groundwater levels using impulse response functions, with hands-on exercises using the open-source Python package Pastas.

Participants will learn how to use Pastas to describe and predict groundwater level fluctuations. By the end of the course, you will be able to:

• Identify and quantify the influence of hydrological forcings such as precipitation, evaporation, groundwater pumping and surface water levels;
• Apply data-driven time series models to solve real-world groundwater problems;
• Choose an appropriate time series model structure taking into account forcings, trends, and nonlinearity;
• Manage and evaluate large datasets efficiently.