Warming climate impacts both water quantity and water quality. My studies of CO2-water-rock interactions inform both water availability and the release mechanisms of contaminants to water. Recently, we have developed a regional-scale hydrological model that predicts a severe reduction of water availability in the historically water-rich Wabash River basin (USA) toward the end of the century (https://FutureWater.indiana.edu). I am interested in applying machine learning in hydrological and geochemical modeling and delivering the sciences to the stakeholders and public in this space.
Climate Impact on Water Resources
Potential Thesis Topics
Potential thesis topics include:
- Using high-performance computers and machine learning tools to model climate change's impact on water quality, e.g., predicting arsenic concentrations in groundwater; and
- Accelerating, curating, and analyzing large model outputs using data sciences and machine learning tools.