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Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere

Jing LUO Guo-An YIN Fu-Jun NIU Tian-Chun DONG Ze-Yong GAO Ming-Hao LIU Fan YU

气候变化研究进展（英文版）2024，Vol.15Issue(2)：253-264,12.

气候变化研究进展（英文版）2024，Vol.15Issue(2)：253-264,12.DOI:10.1016/j.accre.2024.03.001

Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere

Jing LUO ¹Guo-An YIN ¹Fu-Jun NIU ¹Tian-Chun DONG ²Ze-Yong GAO ¹Ming-Hao LIU ¹Fan YU³

作者信息

1. State Key Laboratory of Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
2. China Railway Qinghai-Tibet Group Co.,Ltd,Xining 810000,China
3. State Key Laboratory of Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China||University of Chinese Academy of Sciences,Beijing 100049,China
折叠

摘要

关键词

Retrogressive thaw slump/Machine learning/Susceptibility map/Permafrost/Northern Hemisphere

Key words

Retrogressive thaw slump/Machine learning/Susceptibility map/Permafrost/Northern Hemisphere

引用本文复制引用

Jing LUO,Guo-An YIN,Fu-Jun NIU,Tian-Chun DONG,Ze-Yong GAO,Ming-Hao LIU,Fan YU..Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere[J].气候变化研究进展（英文版）,2024,15(2):253-264,12.

基金项目

This study was jointly supported by the National Science Foundation of China(42071097 and 42372334),the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(2019QZKK0905),the Youth Innovation Promotion Association of the Chinese Academy of Sciences(2020421),and the Program of China State Railway Group Co.Ltd.(K2022G017). （42071097 and 42372334）

气候变化研究进展（英文版）

ISSN：1674-9278

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