A novel hybrid SCS-LSTM model for intelligent flood forecasting in data-scarce small mountainous catchments

A novel hybrid SCS-LSTM model for intelligent flood forecasting in data-scarce small mountainous catchments

Study Region: Ungauged small catchments in Dawukou District, Northwest China. Study Focus: To address the critical data scarcity in PUBs, we propose a hybrid SCS-LSTM framework that integrates the Soil Conservation Service (SCS) hydrological model with Long Short-Term Memory (LSTM) neural networks....

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Bibliographic Details
Main Authors: Yuan Ximin, Wang Tianzhi, Tian Fuchang, Wang Xiaojiao
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Journal of Hydrology: Regional Studies
Subjects:
SCS-LSTM
PUB
SMCs
Hydrological model
Neural network model
Hybrid model
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825004367
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