Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed

Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed

ABSTRACT The fast‐flowing watershed is characterized by rapid runoff and confluence, posing challenges for accurate flood prediction. We introduce three flood forecasting model structures, namely GRU‐ED, LSTM‐FED, and LSTM‐DSA to address this issue. Through application research in three representati...

Full description

Saved in:
Bibliographic Details
Main Authors: Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Journal of Flood Risk Management
Subjects:
data‐driven model
fast‐flowing watershed
flood forecasting
LSTM networks
Online Access:https://doi.org/10.1111/jfr3.70036
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1111/jfr3.70036

Similar Items