Groundwater time series analysis
How the Python language can be used to gain additional insights from existing groundwater hydrograph datasets
Join our expert presenters as they demonstrate how the Python language can be used to pre-process and interpret standard groundwater monitoring datasets, including the removal of barometric pressure and Earth tide effects from time series data. They will also demonstrate how aquifer types and behaviours can be characterised using Barometric Efficiency values and Barometric Response Functions.
You will also learn how aquifer properties, such as hydraulic conductivity and specific storage from time series data, can be used as a cost-effective addition or alternative to traditional applied hydraulic testing.
Further content under details below.
Karlsruhe Institute of Technology