The Thames-Coromandel District Council (TCDC) has launched a new stormwater flood modelling system for Whangamatā, aimed at guiding upcoming infrastructure projects and assisting property owners in ...

Applications can be submitted anytime (24/7) through online portal at www.eservices.hec.gov.pk. In case of new user, you need to create an account by selecting the “Sign-up” option, while existing ...

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...

Flood forecasting models use data from different categories to provide different types of information that contribute to understanding and predicting flood events. Different data categories contribute ...

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

Jacobs has introduced Flood Platform, a cloud-hosted hub for advanced flood modelling that is designed to support the planning and delivery of critical flood infrastructure programs. Flood Platform is ...

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 ...

The 2,175-mile system of interconnected, man-made canals crisscrossing Florida, from Orlando to the Keys, has a particularly important role when a hurricane happens to be pinwheeling toward the ...

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, ...

Changelog for Rain2Flood Plugin v2.1 🚀 Major New Features Flash Flood Analysis (Hourly): Added specialized analysis for short-duration flood events using hourly rainfall data Multiple Rainfall Data ...

This study explores a data-driven approach that combines flood forcing factors from observation and reanalysis datasets, antecedent flood extent maps, and deep learning to forecast daily flood extents ...