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Integrating process-based and deep learning models for flood simulation in karst basins

Bin-quan Li Yi-jie Xia Si-ji Tao Yun-yao Chen Jian-fei Zhao Zhong-min Liang

水科学与水工程2026，Vol.19Issue(1)：23-34,12.

水科学与水工程2026，Vol.19Issue(1)：23-34,12.DOI:10.1016/j.wse.2025.11.005

Integrating process-based and deep learning models for flood simulation in karst basins

Bin-quan Li ¹Yi-jie Xia ²Si-ji Tao ³Yun-yao Chen ²Jian-fei Zhao ²Zhong-min Liang²

作者信息

1. State Key Laboratory of Water Cycle and Water Security in River Basin,Hohai University,Nanjing 210098,ChinaChina||Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources,Hohai University,Nanjing 210098,ChinaChina||College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China
2. College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China
3. Guizhou Water&Power Survey-Design Institute Co.,Ltd.,Guiyang 550002,China
折叠

摘要

关键词

Karst basin/Karst-Xin'anjiang model/Long short-term memory neural network/Bayesian model averaging/Flood simulation

Key words

Karst basin/Karst-Xin'anjiang model/Long short-term memory neural network/Bayesian model averaging/Flood simulation

引用本文复制引用

Bin-quan Li,Yi-jie Xia,Si-ji Tao,Yun-yao Chen,Jian-fei Zhao,Zhong-min Liang..Integrating process-based and deep learning models for flood simulation in karst basins[J].水科学与水工程,2026,19(1):23-34,12.

基金项目

This work was supported by the National Natural Science Foundation of China(Grant No.42471049). （Grant No.42471049）

水科学与水工程

ISSN：1674-2370

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