AI shows promise for flood forecasting and water security in data scarce regions

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.

Three New Courses for Engineering CE/PDH Make Learning Purposeful and Actionable

BLACKSBURG, VA / ACCESS Newswire / March 18, 2026 / Built for engineers and designed by engineers who understand the ...

AI model improves flood forecasting with higher accuracy than current methods

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 ...
JD Supra

Modeling Flooding Hot Spots/Development of Riparian Management Plans: Beaver Watershed Alliance Announces Clean Water Act Section 319 Grant Addressing Beaver Lake Watershed

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

Urban Flood Risk Assessment Using Machine Learning: Implications of Climate Change and Rapid Urban Development

Abstract: Urban flooding, driven by rapid urbanization and accelerated climate change, poses a critical threat to modern cities. In this study, we present an integrated, machine learning-based ...
IEEE

Geoinformatics-Based Flood Extent Mapping and Analysis Using Sentinel-1 Imagery: A Case Study of Phayao Province

Abstract: Climate change will worsen global flooding. This study used geoinformatics and Sentinel-1 satellite data to map and analyze flood extent in Phayao Province, Thailand. The research defines ...