New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China

doi:10.1016/j.geomorph.2018.09.019

	New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China
	Yang, Jintao 1,2; Song, Chao 1,2,3; Yang, Yang 1,2; Xu, Chengdong 3; Guo, Fei 4; Xie, Lei 5
刊名	GEOMORPHOLOGY
	2019
卷号	324 页码:62-71
关键词	Landslide susceptibility mapping GeoDetector Spatial logistic regression Spatial autocorrelation
ISSN号	0169-555X
DOI	10.1016/j.geomorph.2018.09.019
通讯作者	Yang, Yang(yacoco1981@126.com)
英文摘要	Landslides are destructive not only to property and infrastructure but also to people living in landslide-prone regions. Landslide susceptibility mapping (LSM) is critical for preventing and mitigating the negative impacts of land-slides. However, many previously proposed LSM modeling techniques included only the attribute information of spatial objects and ignored the spatial structural information of spatial objects, which led to suboptimal LSM. In addition, the selection of condition factors was not objective to such an extent that it may have reduced the reliability of LSM. To address these problems, a new method based on GeoDetector and a spatial logistic regression (SLR) model is proposed. GeoDetector is used to select condition factors based on the spatial distribution of landslides. The SLR model is used to make full use of the structural and attribute information of spatial objects simultaneously in LSM. The GeoDetector-SLR model is validated using data from the Duwen Highway Basin, which indudes the epicenter of the May 12, 2008 Wenchuan earthquake in southwestern China. Prediction accuracy of the GeoDetector-SLR model is found to be 86.1%, which is an 11.9% improvement over the traditional logistic regression model, indicating an improved and reliable solution for evaluating landslide susceptibility. (C) 2018 Published by Elsevier B.V.
资助项目	National Natural Science Foundation of China[41701448] ; State Key Laboratory of Resources and Environmental Information System ; Young Scholars Development Fund of Southwest Petroleum University[201699010064] ; Open Fund of the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection[KLGSIT2016-03] ; Technology Project of the Sichuan Bureau of Surveying, Mapping and Geoinformation[J2017ZC05] ; Science and Technology Strategy School Cooperation Projects of the Nanchong City Science and Technology Bureau[NC17SY4016]
WOS关键词	WENCHUAN EARTHQUAKE ; RISK ASSESSMENT ; AREA ; MODELS ; HAZARD ; REGION ; RATIO
WOS研究方向	Physical Geography ; Geology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000450378100006
资助机构	National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Young Scholars Development Fund of Southwest Petroleum University ; Open Fund of the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection ; Technology Project of the Sichuan Bureau of Surveying, Mapping and Geoinformation ; Science and Technology Strategy School Cooperation Projects of the Nanchong City Science and Technology Bureau
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/51506]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Yang
作者单位	1.Southwest Petr Univ, Sch Geosci & Technol, Chengdu 610500, Sichuan, Peoples R China 2.Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.China Three Gorges Univ, Natl Field Observat & Res Stn Landslides Three Go, Yichang 443002, Peoples R China 5.Natl Adm Surveying Mapping & Geoinformat, Topog Surveying Brigade 6, Chengdu 610500, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Yang, Jintao,Song, Chao,Yang, Yang,et al. New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China[J]. GEOMORPHOLOGY,2019,324:62-71.
APA	Yang, Jintao,Song, Chao,Yang, Yang,Xu, Chengdong,Guo, Fei,&Xie, Lei.(2019).New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China.GEOMORPHOLOGY,324,62-71.
MLA	Yang, Jintao,et al."New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China".GEOMORPHOLOGY 324(2019):62-71.