气候变化领域集成服务门户(CCPortal): Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau

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DOI	10.1007/s10346-021-01669-7
	Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau
	Yin, Guoan; Luo, Jing; Niu, Fujun; Lin, Zhanju; Liu, Minghao
通讯作者	Yin, GA ; Luo, J (通讯作者)，Chinese Acad Sci, State Key Lab Frozen Soils Engn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China.
发表日期	2021
ISSN	1612-510X
EISSN	1612-5118
起始页码	2639
结束页码	2649
卷号	18 期号:7
英文摘要	Thermokarst landslides (TL) caused by the thaw of ground ice in permafrost slopes are increasing on the Qinghai-Tibet Plateau (QTP), but the understanding of the spatially suitable environmental conditions including terrains and climate for them has not been fully established. Here, we applied multiple machine learning models and their ensemble to explore factors controlling the TL and map its susceptibility at a fine resolution. The models were calibrated and validated using a split-sample approach based on an inventory of TLs from the remote sensing data. The models indicated that summer air temperature and rainfall were the most two important factors controlling the occurrence and distribution of TLs, provided that other geomorphic conditions (i.e., slope, solar radiation, and fine soil) were suitable. The final ensemble susceptibility map based on downscaled climate data and terrain data suggested that ca. 1.4% of the QTP land was classified in high- to very high-susceptibility zone, which is likely to increase in response to future climate change. This study integrated local topography and climate in susceptibility modeling and provided new insights into the geomorphic sensitivity to climate change but also the engineering support over the QTP.
关键词	LAYER DETACHMENT FAILURES ACTIVE-LAYER CLIMATE-CHANGE RICHARDSON MOUNTAINS ENGINEERING CORRIDOR NORTHERN-HEMISPHERE MELVILLE-ISLAND THAW SLUMPS TERRAIN ICE
英文关键词	Permafrost; Climate change; Landslides; Geomorphology
语种	英语
WOS研究方向	Engineering ; Geology
WOS类目	Engineering, Geological ; Geosciences, Multidisciplinary
WOS记录号	WOS:000640726600001
来源期刊	LANDSLIDES
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/253755
作者单位	[Yin, Guoan; Luo, Jing; Niu, Fujun; Lin, Zhanju; Liu, Minghao] Chinese Acad Sci, State Key Lab Frozen Soils Engn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Yin, Guoan,Luo, Jing,Niu, Fujun,et al. Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau[J]. 中国科学院西北生态环境资源研究院,2021,18(7).
APA	Yin, Guoan,Luo, Jing,Niu, Fujun,Lin, Zhanju,&Liu, Minghao.(2021).Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau.LANDSLIDES,18(7).
MLA	Yin, Guoan,et al."Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau".LANDSLIDES 18.7(2021).