Journal
LANDSLIDES
Volume 10, Issue 6, Pages 785-799Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10346-012-0361-5
Keywords
Landslide susceptibility; Frequency ratio; Multiple linear regression; Landslide density; Success rate; Spatially agreed area; Nepal
Funding
- Flemish Inter-University Council (VLIR), Belgium
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GIS-based landslide susceptibility maps for the Kankai watershed in east Nepal are developed using the frequency ratio method and the multiple linear regression technique. The maps are derived from comparing observed landslides with possible causative factors: slope angle, slope aspect, slope curvature, relative relief, distance from drainage, land use, geology, distance from faults and mean annual rainfall. The consistency of the maps is evaluated using landslide density analysis, success rate analysis and spatially agreed area approach. The first two analyses produce almost identical quantitative results, whereas the last approach is able to reveal spatial differences between the maps and also to improve predictions in the agreed high landslide-susceptible area.
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