Groundwater Time Series Analysis

Explore groundwater time series analysis techniques in this 59-minute webinar from the Australian Water School. Learn how to leverage Python for preprocessing and interpreting groundwater monitoring datasets, including removing barometric pressure and Earth tide effects. Discover methods for characterizing aquifer types and behaviors using Barometric Efficiency values and Barometric Response Functions. Gain insights into estimating aquifer properties like hydraulic conductivity and specific storage from time series data as a cost-effective alternative to traditional hydraulic testing. Cover topics such as automating preprocessing tasks, identifying aquifer confinement types, and estimating specific storage and hydraulic conductivity using groundwater responses to Earth and atmospheric tides. Access additional resources, including slides and the HydroGeoSines Python package, to enhance your understanding of groundwater time series analysis.

- Presenter Introductions & Polls.
- Key concepts intro | Todd Rasmussen.
- Traditional methods of interpretation | Chris Turnadge.
- Passive Subsurface Characterisation | Gabriel Rau .
- Python Package- HydroGeoSines.
- Q&A.
- Further training .