AI improves flood projections under climate change

When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...
GitHub

HEC-RAS Flood Analysis Automation

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

Multisource SAR-Based Rural Flood and Partially Submerged Vegetation Mapping Using Fuzzy Logic and Machine Learning

Abstract: Flood mapping is critical for disaster response, yet hindered by cloud obstruction, vegetation interference, and limitations of single-source synthetic aperture radar (SAR) data. To address ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
IEEE

Flood Forecasting Model Using LSTM-Neural Network-Application and Challenges

Abstract: Public safety in disaster operations relies heavily on accurate predictions which help minimize flood damages. The Long Short-Term Memory (LSTM) neural network demonstrates exceptional ...
Orlando Sentinel

Years after Ian, Seminole County buys out flood-prone homes with FEMA money

More than three years after their homes were nearly destroyed by Hurricane Ian’s floodwaters, residents along Lake Harney in east Seminole County are finally seeing relief. Seminole County, acting on ...