A quantitative approach for improving the BIS (Indian) method of medium-scale landslide susceptibility

Ghosh, Saibal, van Westen, C.J., Carranza, E.J.M., Ghoshal, T.B., Sarkar, N.K., and Surendranath, M. (2009) A quantitative approach for improving the BIS (Indian) method of medium-scale landslide susceptibility. Journal Geological Society of India, 74 (5). pp. 625-638.

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Abstract

In India, the Bureau of Indian Standards (BIS) recommends a heuristic method for medium-scale (1:25,000/1:50,000) landslide susceptibility mapping. This is based on fixed ratings of geofactors, without the inclusion of landslide inventory information. In BIS method, the pre-defined ratings of geofactors are applied over diverse areas, irrespective of the terrain-specific spatial inter-dependence of geofactors and landslide types, which leads to rather moderate prediction. In this paper, we evaluate the effectiveness of the existing BIS method in Darjeeling Himalaya through a quantitative method adapting weights of evidence (WofE) modeling. The quantified spatial associations between specific geofactors for different landslide types and failure mechanisms that were generated, using this method showed improved prediction rates as compared to the BIS method of fixed ratings of geofactors. We therefore recommend adjusting the existing BIS guidelines by inclusions of weights, derived locally through quantitative spatial analysis of landslide inventories and geofactor maps.

Item ID: 27357
Item Type: Article (Research - C1)
ISSN: 0974-6889
Keywords: landslide susceptibility, BIS method, weights of evidence, Darjeeling Himalaya
Date Deposited: 11 Jun 2013 05:25
FoR Codes: 04 EARTH SCIENCES > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards @ 50%
01 MATHEMATICAL SCIENCES > 0103 Numerical and Computational Mathematics > 010399 Numerical and Computational Mathematics not elsewhere classified @ 50%
SEO Codes: 96 ENVIRONMENT > 9610 Natural Hazards > 961008 Natural Hazards in Mountain and High Country Environments @ 100%
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