Skip to Content

iNAIADS: iNtegration, Artificial Intelligence Analytical Data Services for Rivers and Watersheds

This project uses a novel data synthesis, analysis, and machine learning framework to determine how climate-driven disturbances like floods, droughts and heat waves will change water quality over time. We are studying impacted locations across river corridors and basins of the United States, including the Colorado, Pacific Northwest and mid-Atlantic basins. Our objective is to determine whether and how watersheds with different characteristics are resistant and resilient to these disturbances, resulting in better predictions of water quality in future changing climates.
Keywords data integration, dissolved oxygen, disturbance, droughts, floods, heatwaves, machine learning (ML), rivers, salinity, stream temperature, watersheds
TYPE Early Career
Principal Investigator (PI)
Charuleka Varadharajan
Lead Institution
Other Collaborators
University of Minnesota
For more information