IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2014  > Vol11 No.1
Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods
Ding, Mingtao1,2; Hu, Kaiheng2,3
Corresponding AuthorHu, Kaiheng
2014
Source PublicationNATURAL HAZARDS
ISSN0921-030X
EISSN1573-0840
Volume70Issue:1Pages:755-766
SubtypeArticle
AbstractCluster analysis and maximum likelihood classification (MLC) are exploited to map the post-earthquake landslide susceptibility in Beichuan County that was affected by the Ms 8.0 Wenchuan earthquake. The methodology is applicable even if there is short of training data. Six effective factors are chosen for mapping the susceptibility, including land use, seismic intensity, average annual rainfall, relative relief, slop gradient and lithology. Four clusters are grouped from sampling grid cells by k-means clustering approach. MLC classifies all the cells in the study area into the four clusters according to their statistical characteristics. Four susceptibility classes (extreme low, low, moderate and high) are assigned to these clusters applying expert experience and hazard density. The final map gives a reasonable assessment of post-earthquake landslide susceptibility in Beichuan County. Comparing with the pre-earthquake susceptibility map made in Beichuan County geological disaster survey project, the result t using cluster and MLC classification has a better agreement with the dot density value of post-earthquake landslides in Beichuan County. The susceptibility map can be used to identify safety spots within the high danger area, which are suitable for habitations and facilities. It is also found that more landslides are densely concentrated at the boundary between high and moderate regions, and between high and extreme low regions.
KeywordSusceptibility Mapping Landslide Clustering Analysis Beichuan County
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1007/s11069-013-0854-0
WOS Subject ExtendedGeology ; Meteorology & Atmospheric Sciences ; Water Resources
Indexed BySCI
WOS KeywordGIS ; EARTHQUAKE ; INFORMATION ; REGION ; TURKEY
Language英语
Quartile4区
TOP
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000331391800038
Funding OrganizationNational Natural Science Foundation of China(41101164 ; Chinese Academy Sciences(KZCX2-YW-Q03-5) ; National Basic Research Program of China (973 Program)(2011CB409902) ; 41371185)
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/9582
CollectionJournal of Mountain Science_Journal of Mountain Science-2014_Vol11 No.1
山地灾害与地表过程重点实验室
Affiliation1.Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China
2.Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Ding, Mingtao,Hu, Kaiheng. Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods[J]. NATURAL HAZARDS,2014,70(1):755-766.
APA Ding, Mingtao,&Hu, Kaiheng.(2014).Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods.NATURAL HAZARDS,70(1),755-766.
MLA Ding, Mingtao,et al."Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods".NATURAL HAZARDS 70.1(2014):755-766.
Files in This Item:
File Name/Size DocType Version Access License
Susceptibility mappi(799KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ding, Mingtao]'s Articles
[Hu, Kaiheng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ding, Mingtao]'s Articles
[Hu, Kaiheng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ding, Mingtao]'s Articles
[Hu, Kaiheng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.