The tools and technology engineers use to design levees, predict flood inundation, assess impacts of development and meet FEMA’s National Flood Insurance Program requirements ar ...

A landslide of 251,000 tons swept through Dharali, diverted the river, and destroyed nearly 60 percent of its infrastructure ...

Residents of a retirement village have launched a class action against Melbourne Water for alleged negligence after the Maribyrnong River burst its banks in 2022 and flooded their homes. Forty-five ...

For half a century, a federal program has covered most at-risk properties. Now, a private company is pitching a plan to shrink the government’s role. By Scott Dance Reporting from Washington Flood ...

A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...

A new lawsuit has been filed against Tesla following a tragic accident in Idaho that killed four family members, with the plaintiffs blaming the automaker’s Autosteer and driver-assist features for ...

MANVILLE, N.J.—Richard Onderko said he will never forget the terrifying Saturday morning back in 1971 when the water rose so swiftly at his childhood home here that he and his brother had to be ...

A vehicle hauls a trailer full of sandbags in Sumas as residents prepared for possible flooding Dec. 10, 2025. Rachel Showalter The Bellingham Herald Sumas officials prepared to sound their flood ...

Climate and land use change are increasingly altering the water balance and flood dynamics of East African wetlands. In Tanzania’s Kilombero floodplain, rice cultivation relies on seasonal flooding, ...

Significant flooding is underway in Texas Hill Country as storms crawl across the South. Parts of the region are still recovering from devastating flooding that killed more than 130 people this July.

When a storm is barreling in from the Gulf, which neighborhoods would be most likely to flood and at what depths? And can that be predicted quickly with affordable technology? A team of LSU scientists ...