Landside susceptibility assessment based on weighted information value model: A case study of Wenchuan earthquake 10 degree region

Author

Ling Jiang ; Desheng Liu ; Yuhong Jiang ; Hao Fang

Author_Institution

Sch. of Resources & Environ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2014

fDate

11-14 Aug. 2014

Firstpage

1

Lastpage

4

Abstract

Information value model is a widely used landslide susceptibility assessment method. However, it neglects the weights of different factors. This paper proposes the weighted information value model based on AHP. The impact of seismic intensity (SC), land-use types (LUT), lithology types(LT), fault density (FD), terrain (T) and rainfall(R) on landslide in the 512 Wenchuan earthquake-hit 10 degree region of the Longmenshan fault zone(LFZ) is assessed with GIS spatial analysis. According to the weighted information value of these controlling factors, the study area can be divided into five classes: extremely, high, intermediate, low and very low susceptible areas for landslide occurrence.

Keywords

earthquakes; geographic information systems; geomorphology; geophysics computing; AHP; FD; GIS spatial analysis; LFZ; LT; LUT; Longmenshan fault zone; R; SC; T; Wenchuan earthquake 10 degree region; fault density; land-use types; landside susceptibility assessment method; landslide occurrence; lithology types; rainfall; seismic intensity; terrain; weighted information value model; Analytical models; Earthquakes; Educational institutions; Geology; Hazards; Table lookup; Terrain factors; AHP; landslide; susceptibility; weighted information value;

fLanguage

English

Publisher

ieee

Conference_Titel

Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/Agro-Geoinformatics.2014.6910655

Filename

6910655