Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.

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 im...

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Autores principales:	Wei-Jie Jia, Meng-Fei Wang, Cheng-Hu Zhou, Qing-Hua Yang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/61b031d510e54f389b5c745052a27399
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spelling	oai:doaj.org-article:61b031d510e54f389b5c745052a273992021-11-25T06:19:06ZAnalysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.1932-620310.1371/journal.pone.0251776https://doaj.org/article/61b031d510e54f389b5c745052a273992021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251776https://doaj.org/toc/1932-6203Steep 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.Wei-Jie JiaMeng-Fei WangCheng-Hu ZhouQing-Hua YangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251776 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wei-Jie Jia Meng-Fei Wang Cheng-Hu Zhou Qing-Hua Yang Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
description	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.
format	article
author	Wei-Jie Jia Meng-Fei Wang Cheng-Hu Zhou Qing-Hua Yang
author_facet	Wei-Jie Jia Meng-Fei Wang Cheng-Hu Zhou Qing-Hua Yang
author_sort	Wei-Jie Jia
title	Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
title_short	Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
title_full	Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
title_fullStr	Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
title_full_unstemmed	Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.
title_sort	analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern tibetan plateau, china.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/61b031d510e54f389b5c745052a27399
work_keys_str_mv	AT weijiejia analysisofthespatialassociationofgeographicaldetectorbasedlandslidesandenvironmentalfactorsinthesoutheasterntibetanplateauchina AT mengfeiwang analysisofthespatialassociationofgeographicaldetectorbasedlandslidesandenvironmentalfactorsinthesoutheasterntibetanplateauchina AT chenghuzhou analysisofthespatialassociationofgeographicaldetectorbasedlandslidesandenvironmentalfactorsinthesoutheasterntibetanplateauchina AT qinghuayang analysisofthespatialassociationofgeographicaldetectorbasedlandslidesandenvironmentalfactorsinthesoutheasterntibetanplateauchina
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Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China.

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