Tag Water Management


Machine Learning Model Improves River Flow Estimates in Ungauged Basins

Most rivers lack gauges, leaving gaps in flood forecasting, water management and emergency planning. This new machine learning approach uses downstream data to predict upstream flow with no sensors needed.


Social Science Meets Hydrology: Bridging Human Insight and Water Innovation

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Alabama Water Institute Names Fourth Class of Faculty Fellowship Recipients

The Alabama Water Institute has selected four faculty members from The University of Alabama to serve as 2024-27 fellows in the AWI Faculty Fellowship Program. The program recognizes UA faculty for outstanding research, extension and education programs that significantly advance UA’s interdisciplinary water-related communities of science. In previous years, each cohort was comprised of two…


AI-Powered Water Research: Undergraduate Program Prepares Future Hydrologists

TUSCALOOSA, Ala. — The future of water prediction lies in the hands of the next generation of researchers, and the Hydrologic AI Forecasting Program is leading the charge. This Research Experience for Undergraduates (REU) program, officially known as the Strategic Graduate Partnership Initiative, focuses on artificial intelligence for hydrologic forecasting, offering students the opportunity to…


UA Researchers Part of $2.5M National Freshwater Ecosystem Study

TUSCALOOSA, Ala. – To the south of The University of Alabama’s campus, in the Oakmulgee district of the Talladega National Forest, is the South Sandy Creek watershed. It’s where Dr. Arial Shogren and her students are collecting data to see how ecosystems are impacted by headwater stream networks. These networks serve as vital arteries that…


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