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Advances in coupling machine learning with hydrological simulation:A review

Yu-fei Yan Han-xiao Liu Shu Xu Qiong-lin Wang Yu-hui Yang Qing-qing Chen Chen-yang Wang Tian-ling Qin

水科学与水工程2026,Vol.19Issue(1):1-10,10.
水科学与水工程2026,Vol.19Issue(1):1-10,10.DOI:10.1016/j.wse.2026.01.002

Advances in coupling machine learning with hydrological simulation:A review

Advances in coupling machine learning with hydrological simulation:A review

Yu-fei Yan 1Han-xiao Liu 2Shu Xu 3Qiong-lin Wang 4Yu-hui Yang 5Qing-qing Chen 6Chen-yang Wang 6Tian-ling Qin5

作者信息

  • 1. College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China||State Key Laboratory of Water Cycle and Water Security,China Institute of Water Resources and Hydropower Research,Beijing 100038,China
  • 2. School of Water Conservancy and Transportation,Zhengzhou University,Zhengzhou 450000,China
  • 3. Henan Key Laboratory of Yellow Basin Ecological Protection and Restoration,Yellow River Institute of Hydraulic Research,Zhengzhou 450003,China
  • 4. College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China
  • 5. State Key Laboratory of Water Cycle and Water Security,China Institute of Water Resources and Hydropower Research,Beijing 100038,China
  • 6. College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China
  • 折叠

摘要

关键词

Hydrological simulation/Runoff prediction/Machine learning/Hydrological model/Model coupling

Key words

Hydrological simulation/Runoff prediction/Machine learning/Hydrological model/Model coupling

引用本文复制引用

Yu-fei Yan,Han-xiao Liu,Shu Xu,Qiong-lin Wang,Yu-hui Yang,Qing-qing Chen,Chen-yang Wang,Tian-ling Qin..Advances in coupling machine learning with hydrological simulation:A review[J].水科学与水工程,2026,19(1):1-10,10.

基金项目

This work was supported by the National Key Research and Development Project(Grant No.2022YFC3201700),the National Natural Science Foun-dation of China(Grant No.U2443205),the Anhui Provincial Key Research and Development Project(Grant No.2408055US002),and the Five Major Excellent Talent Programs of the China Institute of Water Resources and Hydropower Research(IWHR)(Grant No.WR0199A012021). (Grant No.2022YFC3201700)

水科学与水工程

1674-2370

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