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Proceedings Paper

Application of the improved fuzzy analytic hierarchy process for landslide hazard assessment based on RS and GIS
Author(s): Baishou Li; Yujiu Gao
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Paper Abstract

The landslide is a geological disaster that caused the second disruptions and losses next to the earthquake, and people around the world suffered a serious threat to their lives and property damage as a result of landslide disaster every year. So carrying on the study of the landslide hazard will create important theoretical meaning and practical value for proposing targeted prevention and treatment measures. Landslides occur more frequently in Guangxi where serious landslide disasters run riot because of its unique karst topography environment and abundant rainfall. The Wanxiu District of Wuzhou, Guangxi was selected as the study area, the landslide hazard zonation evaluation was studied on the basis of RS and GIS technology. The factors that influence landslide occurrence, such as elevation, slope inclination, slope aspect, curvature and distance to streams were derived from the DEM; land use was extracted from the Google Earth image; lithology was digitalized from the geologic map; rainfall information was from the literature. An improved analytic hierarchy process was presented to determine the index weight in this study. The method weakens the uncertainty in the process of comparing the importance of each factor, it need not to do the consistency check, which can also reduce the iteration times enormously, and improve operating speed. Combined with fuzzy comprehensive evaluation method, the landslide hazard mapping of the study area was made according to the maximum membership degree principle. The resulting map can be used to provide some reference values for risk management, land-use planning and urbanization.

Paper Details

Date Published: 9 December 2015
PDF: 11 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980833 (9 December 2015); doi: 10.1117/12.2207381
Show Author Affiliations
Baishou Li, Guilin Univ. of Technology (China)
Yujiu Gao, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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