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Assessing climate change impacts on streamflow in upper Han River Basin using deep learning models ensembled with Bayesian model averaging

Xin Wang Chao Deng Xin Yin Jia Wei Jia-cheng Zou

水科学与水工程2025，Vol.18Issue(4)：412-421,10.
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水科学与水工程2025，Vol.18Issue(4)：412-421,10.DOI:10.1016/j.wse.2025.08.004

Assessing climate change impacts on streamflow in upper Han River Basin using deep learning models ensembled with Bayesian model averaging

Assessing climate change impacts on streamflow in upper Han River Basin using deep learning models ensembled with Bayesian model averaging

Xin Wang 1Chao Deng 1Xin Yin 2Jia Wei 3Jia-cheng Zou4

作者信息

  • 1. College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||The National Key Laboratory of Water Disaster Prevention,Hohai University,Nanjing 210098,China
  • 2. Nanjing Hydraulic Research Institute,Nanjing 210029,China
  • 3. College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China||The National Key Laboratory of Water Disaster Prevention,Hohai University,Nanjing 210098,China||Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong,China
  • 4. Monitoring Center on Hydrology and Water Resources in the Lower Reaches of the Ganjiang River,Yichun 336000,China
  • 折叠

摘要

关键词

Climate change/Streamflow prediction/Deep learning/CMIP6/GCM

Key words

Climate change/Streamflow prediction/Deep learning/CMIP6/GCM

引用本文复制引用

Xin Wang,Chao Deng,Xin Yin,Jia Wei,Jia-cheng Zou..Assessing climate change impacts on streamflow in upper Han River Basin using deep learning models ensembled with Bayesian model averaging[J].水科学与水工程,2025,18(4):412-421,10.

基金项目

This work was supported by the National Key Research and Development Program of China(Grant No.2022YFC3202802),the National Natural Sci-ence Foundation of China(Grant No.42307117),the Fundamental Research Funds for the Central Universities(Grant No.B230201039),the China Post-doctoral Science Foundation(Grant No.2023M740984),and the Hong Kong Scholars Program(Grant No.XJ2024046). （Grant No.2022YFC3202802）

水科学与水工程

OACSCDCSTPCD

1674-2370

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