Flooding poses significant risks to communities in wetlands and densely urbanized regions, necessitating robust prevention ...
Scientists at the University of Illinois Urbana-Champaign can now differentiate between human-derived and hydrological ...
Understanding how water moves through the Earth system is fundamental to predicting climate impacts and ensuring sustainable ...
When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect infrastructure and communities from 50- and 100-year floods. But as climate change ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
As Lake Powell and Lake Mead near critical elevations, federal planners face narrowing operational options that could reshape ...
Understanding how water moves through the Earth system is fundamental to predicting climate impacts and ensuring sustainable ...
Alonda Hines/ORNL, U.S. Dept. of Energy Sean Turner draws on his international experience and the latest deep learning tools ...
UN report has declared a "era of global water bankruptcy," a post-crisis reality where critical water systems have suffered irreversible damage ...
This study develops a spatial "source-flow-use" accounting framework to quantify the supply and allocation of high-quality water resources (HQWRs) from ecological conservation areas. Using a national ...
Satellites detected a mysterious gravitational change beneath Earth's surface, suggesting rapid movement of interior masses.
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