DocumentCode :
3310809
Title :
Landslide susceptibility assessment in active seismic zone—With a case study of Wenchuan
Author :
Tao, Shu ; Hu, Deyong ; Xue, Dongjian ; Lian, Jian
Author_Institution :
Beijing Municipal Key Lab. of Resources Environ. & GIS, Capital Normal Univ., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
1218
Lastpage :
1221
Abstract :
The Ms 8.0 Wenchuan earthquake, occurred on 12 May 2008 in Sichuan Province, caused enormous property damages and human casualties. In order to remove threat from the secondary landslides effectively, this study used techniques of remote sensing and GIS to generate susceptibility map, taking the case of Wenchuan County. The factors controlling landslides are obtained from geological maps and DEM, including relief amplitude, lithology, seismic intensity, distance to faults and rivers. Furthermore, this paper presents quantitative analysis of relationship between number and area of the landslides and factors in the study area. Based on this analysis, the probability predicting the possibility of landslide occurrence has been calculated applying information value method and logistic regression separately. The study zone was ultimately categorized into five classes, specifically, “extremely low”, “low”, “moderate”, “high” and “very high”. These results have been proved to reflect closely the spatial distributions of landslides in the study area.
Keywords :
digital elevation models; earthquakes; faulting; geographic information systems; geomorphology; regression analysis; terrain mapping; topography (Earth); AD 2008 05 12; DEM; GIS; Sichuan Province; Wenchuan County; Wenchuan earthquake; active seismic zone; faults; human casualty; landslide controlling factors; landslide susceptibility assessment; landslide zonation; landslides spatial distribution; lithology; logistic regression; property damage; relief amplitude; remote sensing; secondary landslide; seismic intensity; Earthquakes; Geographic Information Systems; Geology; Logistics; Remote sensing; Rivers; Terrain factors; Landslide; remote sensing; susceptibility assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5650140
Filename :
5650140
Link To Document :
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