Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin

Physics-Guided Long Short-Term Memory Network for Streamflow and Flood Simulations in the Lancang–Mekong River Basin

A warming climate will intensify the water cycle, resulting in an exacerbation of water resources crises and flooding risks in the Lancang–Mekong River Basin (LMRB). The mitigation of these risks requires accurate streamflow and flood simulations. Process-based and data-driven hydrological models ar...

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Bibliographic Details
Main Authors: Binxiao Liu, Qiuhong Tang, Gang Zhao, Liang Gao, Chaopeng Shen, Baoxiang Pan
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
hydrological modeling
data-driven modeling
physics-guided neural network (PGNN)
Online Access:https://www.mdpi.com/2073-4441/14/9/1429

Internet

https://www.mdpi.com/2073-4441/14/9/1429

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