A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka

A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka

Flooding is the most frequent natural hazard that accompanies hardships for millions of civilians and substantial economic losses. In Sri Lanka, fluvial floods cause the highest damage to lives and properties. Ratnapura, which is in the Kalu River Basin, is the area most vulnerable to frequent flood...

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Bibliographic Details
Main Authors: Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj, Musa Mammadov
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Forecasting
Subjects:
flood forecasting
deep learning
Bi-LSTM
hybrid model
regression
Online Access:https://www.mdpi.com/2571-9394/7/2/29
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