The Beaver Watershed Alliance (“BWA”) announced an acquisition of a Clean Water Act Section 319 Grant for use in the Beaver Lake Watershed to: ...

Rather than relying on passive slides and outdated examples, Amber Book develops courses around real engineering challenges - helping engineers apply lessons immediately on the job: strengthening ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center examined several types of flood models to highlight their strengths and weaknesses and ...

Flash floods are notoriously difficult to predict, but Google might have a novel solution. The company just revealed Groundsource, a prediction tool for flash floods that uses Gemini to source data ...

Google's Gemini-powered Groundsource AI system mines decades of news reports, powering real-time flash flood warnings in 150 ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

State-owned QatarEnergy halted LNG production after Iranian drone attacks on Ras Laffan and Mesaieed and declared force majeure on shipments to affected buyers. QatarEnergy stops LNG production after ...

A warm wet storm following February's snow, and record-breaking March temperatures are shattering records, prompting warnings of rapid snowmelt and swift rivers.

Warning systems can engage people on a personal level — if they are built in a way that bridges technology and social science.

Cruz Coronas discuss escalating risks of urban flooding in Europe, highlighting the limitations of traditional flood hazard maps ...