Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River

Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River

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This study took the“22·6”flood event at the Gaodao Station along the Lianjiang River in the middle and upper reaches of the Beijiang River in Guangdong Province as an example to explore the flow prediction method combining physical models with deep learning, aiming to improve the accuracy of hydrolo...

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Bibliographic Details
Main Authors: HUANG Zexi, SUN Wei, CHEN Xinlin, RONG Zerong, LUO Xiaokang, WANG Xianwei
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2025-05-01
Series:Renmin Zhujiang
Subjects:
deep learning
distributed hydrological model
flow prediction
HEC-HMS
LSTM
Lianjiang River
Gaodao Station
Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2025.05.006
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http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2025.05.006

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