Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China
Jia, Wei-Jie1,2,3; Wang, Meng-Fei3; Zhou, Cheng-Hu2; Yang, Qing-Hua3
刊名PLOS ONE
2021-05-20
卷号16期号:5页码:25
ISSN号1932-6203
DOI10.1371/journal.pone.0251776
通讯作者Jia, Wei-Jie(sunleaver@gmail.com)
英文摘要Steep canyons surrounded by high mountains resulting from large-scale landslides characterize the study area located in the southeastern part of the Tibetan Plateau. A total of 1766 large landslides were identified based on integrated remote sensing interpretations utilizing multisource satellite images and topographic data that were dominated by 3 major regional categories, namely, rockslides, rock falls, and flow-like landslides. The geographical detector method was applied to quantitatively unveil the spatial association between the landslides and 12 environmental factors through computation of the q values based on spatially stratified heterogeneity. Meanwhile, a certainty factor (CF) model was used for comparison. The results indicate that the q values of the 12 influencing factors vary obviously, and the dominant factors are also different for the 3 types of landslides, with annual mean precipitation (AMP) being the dominant factor for rockslide distribution, elevation being the dominant factor for rock fall distribution and lithology being the dominant factor for flow-like distribution. Integrating the results of the factor detector and ecological detector, the AMP, annual mean temperature (AMT), elevation, river density, fault distance and lithology have a stronger influence on the spatial distribution of landslides than other factors. Furthermore, the factor interactions can significantly enhance their interpretability of landslides, and the top 3 dominant interactions were revealed. Based on statistics of landslide discrepancies with respect to diverse stratification of each factor, the high-risk zones were identified for 3 types of landslides, and the results were contrasted with the CF model. In conclusion, our method provides an objective framework for landslide prevention and mitigation through quantitative, spatial and statistical analyses in regions with complex terrain.
资助项目China High-resolution Earth Observation System[GFZX0404130302] ; National Key Research and Development Program of China[2016YFB0501404] ; open fund of State key laboratory of resources and environment information system, the innovative research groupgeographic spatial-temporal data analysis[08R8B040YA]
WOS关键词WENCHUAN EARTHQUAKE ; RISK-ASSESSMENT ; DECISION TREE ; RANDOM FOREST ; SUSCEPTIBILITY ; REGION
WOS研究方向Science & Technology - Other Topics
语种英语
出版者PUBLIC LIBRARY SCIENCE
WOS记录号WOS:000664631600061
资助机构China High-resolution Earth Observation System ; National Key Research and Development Program of China ; open fund of State key laboratory of resources and environment information system, the innovative research groupgeographic spatial-temporal data analysis
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/163875]  
专题中国科学院地理科学与资源研究所
通讯作者Jia, Wei-Jie
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China
3.China Aero Geophys Survey & Remote Sensing Ctr Na, Dept Geol Remote Sensing, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Jia, Wei-Jie,Wang, Meng-Fei,Zhou, Cheng-Hu,et al. Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China[J]. PLOS ONE,2021,16(5):25.
APA Jia, Wei-Jie,Wang, Meng-Fei,Zhou, Cheng-Hu,&Yang, Qing-Hua.(2021).Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.PLOS ONE,16(5),25.
MLA Jia, Wei-Jie,et al."Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China".PLOS ONE 16.5(2021):25.
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