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Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region

文献类型：期刊论文

作者Xu, Chong1,2; Xu, Xiwei1; Dai, Fuchu2; Xiao, Jianzhang2; Tan, Xibin1; Yuan, Renmao1
刊名JOURNAL OF EARTH SCIENCE
出版日期2012-02-01
卷号23期号:1页码:97-120
关键词Wenchuan earthquake landslides weight of evidence Geographic Information Systems (GIS) landslide hazard mapping
ISSN号1674-487X
DOI10.1007/s12583-012-0236-7
文献子类Article
英文摘要Tens of thousands of landslides were triggered by May 12, 2008 earthquake over a broad area. The main purpose of this article is to apply and verify earthquake-triggered landslide hazard analysis techniques by using weight of evidence modeling in Qingshui (ae...ae degrees ') River watershed, Deyang (a3/4 center dot e similar to(3)) City, Sichuan (a >> a center dot e) Province, China. Two thousand three hundred and twenty-one landslides were interpreted in the study area from aerial photographs and multi-source remote sensing imageries post-earthquake, verified by field surveys. The landslide inventory in the study area was established. A spatial database, including landslides and associated controlling parameters that may have influence on the occurrence of landslides, was constructed from topographic maps, geological maps, and enhanced thematic mapper (ETM+) remote sensing imageries. The factors that influence landslide occurrence, such as slope angle, aspect, curvature, elevation, flow accumulation, distance from drainages, and distance from roads were calculated from the topographic maps. Lithology, distance from seismogenic fault, distance from all faults, and distance from stratigraphic boundaries were derived from the geological maps. Normalized difference vegetation index (NDVI) was extracted from ETM+ images. Seismic intensity zoning was collected from Wenchuan (ae +/- a center dot e) Ms8.0 Earthquake Intensity Distribution Map published by the China Earthquake Administration. Landslide hazard indices were calculated using the weight of evidence model, and landslide hazard maps were calculated from using different controlling parameters cases. The hazard map was compared with known landslide locations and verified. The success accuracy percentage of using all 13 controlling parameters was 71.82%. The resulting landslide hazard map showed five classes of landslide hazard, i.e., very high, high, moderate, low, and very low. The validation results showed satisfactory agreement between the hazard map and the existing landslides distribution data. The landslide hazard map can be used to identify and delineate unstable hazard-prone areas. It can also help planners to choose favorable locations for development schemes, such as infrastructural, buildings, road constructions, and environmental protection.
WOS关键词ARTIFICIAL NEURAL-NETWORKS ; LOGISTIC-REGRESSION MODELS ; SUPPORT VECTOR MACHINE ; ROCK SLOPE STABILITY ; SUSCEPTIBILITY ASSESSMENT ; HONG-KONG ; OF-EVIDENCE ; INFORMATION-SYSTEM ; PREDICTION MODELS ; NATURAL TERRAIN
WOS研究方向Geology
语种英语
WOS记录号WOS:000299376100008
出版者CHINA UNIV GEOSCIENCES
资助机构International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; International Scientific Joint Project of China(2009DFA21280) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; National Natural Science Foundation of China(40821160550) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5) ; Doctoral Candidate Innovation Research Support Program by Science & Technology Review(kjdb200902-5)
源URL[http://ir.iggcas.ac.cn/handle/132A11/84238]  
专题中国科学院地质与地球物理研究所
通讯作者Xu, Xiwei
作者单位1.China Earthquake Adm, Inst Geol, Key Lab Act Tecten & Volcano, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Chong,Xu, Xiwei,Dai, Fuchu,et al. Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region[J]. JOURNAL OF EARTH SCIENCE,2012,23(1):97-120.
APA Xu, Chong,Xu, Xiwei,Dai, Fuchu,Xiao, Jianzhang,Tan, Xibin,&Yuan, Renmao.(2012).Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region.JOURNAL OF EARTH SCIENCE,23(1),97-120.
MLA Xu, Chong,et al."Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region".JOURNAL OF EARTH SCIENCE 23.1(2012):97-120.

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来源：地质与地球物理研究所

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