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 ...
Inside Climate News

A New Jersey Buyout Program for Flood-Prone Homes Is a National Model

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 ...
IEEE

High Perplexity Mountain Flood Level Forecasting in Small Watersheds Based on Compound Long Short-Term Memory Model and Multimodal Short Disaster-Causing Factors

Abstract: Mountain flood water levels exhibit high variability and complexity, making them challenging to predict, and gathering long-term data of disaster-causing factors is difficult in small ...
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 ...
Microsoft

Knowledge‐Guided Machine Learning for Operational Flood Forecasting

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...