Assessing the resilience of groundwater resources can be challenging in data-sparse regions. Tritium observations and machine learning can be employed to fill gaps where traditional monitoring is insufficient and provide insight into aquifer vulnerability to pollution.
- Joel Podgorski
- Oliver Kracht
- Michael Berg
