Although several studies in the literature integrate climate change with flood susceptibility mapping, the innovation of this study lies in the projection of future LULC and using it with the latest ...

Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible. A new simulation model that can predict ...

River flood risk in Europe could rise to unprecedented levels due to global warming and continued development in flood-prone areas. Here, we appraise the potential of four key adaptation strategies to ...

A team of researchers from the Department of Energy's Oak Ridge National Laboratory and Tennessee Technological University have created a 2D, open-source flood inundation model designed for a ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. George Cheng thinks a lot about flooding. In his home state North Carolina, hurricanes and tropical ...

Nearly three months after hurricanes Helene and Milton delivered record flood and storm surge levels to cities in Florida, the state has accepted a public loss model that FIU helped design to assess ...

This story is free to read because readers choose to support LAist. If you find value in independent local reporting, make a donation to power our newsroom today. Researchers out of UC Irvine have ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate predictions of where floods will occur. In a new study published in AGU Advances, ...

Oak Ridge National Laboratory has developed a supercomputer tool called TRITON to advance flood risk modeling. The tool uses supercomputers to run complex calculations, reducing simulation times from ...

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 ...