A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China

A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China

Accurate streamflow prediction is crucial for effective water resource management. However, reliable prediction remains a considerable challenge because of the highly complex, non-stationary, and non-linear processes that contribute to streamflow at various spatial and temporal scales. In this study...

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Bibliographic Details
Main Authors: Jinjie Fang, Linshan Yang, Xiaohu Wen, Weide Li, Haijiao Yu, Ting Zhou
Format: Article
Language:English
Published: IWA Publishing 2024-02-01
Series:Hydrology Research
Subjects:
convolutional neural network (cnn)
long short-term memory (lstm)
shule river
streamflow prediction
transformer
Online Access:http://hr.iwaponline.com/content/55/2/180

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http://hr.iwaponline.com/content/55/2/180

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