Projects

Coupled hydrogeophysical inversion and machine learning for improved hydrological parameter estimation

Groundwater is a vital source of fresh water, heavily stressed by overuse and climate change. Accurately estimating groundwater recharge is crucial but difficult. This project presents a novel hydrogeophysical approach that combines geoelectrical monitoring, hydrological modeling, and machine learning.