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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-Hu1; Yang, Qing-Hua3
2021-05-20
Source PublicationPLOS ONE
ISSN1932-6203
Volume16Issue:5Pages:25
Corresponding AuthorJia, Wei-Jie(sunleaver@gmail.com)
AbstractSteep 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.
DOI10.1371/journal.pone.0251776
WOS KeywordWENCHUAN EARTHQUAKE ; RISK-ASSESSMENT ; DECISION TREE ; RANDOM FOREST ; SUSCEPTIBILITY ; REGION
Indexed BySCI
Language英语
Funding ProjectChina 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]
Funding OrganizationChina 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
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000664631600061
PublisherPUBLIC LIBRARY SCIENCE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163876
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJia, Wei-Jie
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.China Aero Geophys Survey & Remote Sensing Ctr Na, Dept Geol Remote Sensing, Beijing, Peoples R China
Recommended Citation
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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