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Machine learning-based assessment of climate change impacts on hydrological drought in the Yangtze River basin,1985-2020

Wen-Yu-Cheng WANG Jun XIA Zhi-Hong SONG Sheng HUANG Lan-Xin SUN

气候变化研究进展（英文版）2026，Vol.17Issue(5)：1113-1123,11.

气候变化研究进展（英文版）2026，Vol.17Issue(5)：1113-1123,11.DOI:10.1016/j.accre.2026.05.010

Machine learning-based assessment of climate change impacts on hydrological drought in the Yangtze River basin,1985-2020

Wen-Yu-Cheng WANG ¹Jun XIA ¹Zhi-Hong SONG ²Sheng HUANG ³Lan-Xin SUN¹

作者信息

1. State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan 430072,China
2. Changjiang River Scientific Research Institute of Changjiang Water Resources Commission,Wuhan 430010,China
3. State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan 430072,China||Department of Civil and Environmental Engineering,National University of Singapore,Singapore 117578,Singapore
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摘要

关键词

Machine learning/Hydrological drought attribution/Contribution separation/Yangtze River basin

Key words

Machine learning/Hydrological drought attribution/Contribution separation/Yangtze River basin

引用本文复制引用

Wen-Yu-Cheng WANG,Jun XIA,Zhi-Hong SONG,Sheng HUANG,Lan-Xin SUN..Machine learning-based assessment of climate change impacts on hydrological drought in the Yangtze River basin,1985-2020[J].气候变化研究进展（英文版）,2026,17(5):1113-1123,11.

基金项目

This study was supported by the Key Research and Development Program of Jiangxi Province(20252BCF320023)and the National Natural Science Foundation of China(U2340213). （20252BCF320023）

气候变化研究进展（英文版）

ISSN：1674-9278

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