Landslide susceptibility assessment in the Himalayan range based along Kasauli – Parwanoo road corridor using weight of evidence, information value, and frequency ratio
Lithology
Elevation (ballistics)
Drainage density
DOI:
10.1016/j.jksus.2021.101759
Publication Date:
2021-12-09T07:34:49Z
AUTHORS (8)
ABSTRACT
The Himalayan region is prone to landslides. Rainfall-induced slope failure activities in the Indian Himalaya cause considerable damage, posing a serious risk life and property. This study attributes information regarding landslide triggering parameters further delineate susceptibility maps of Himachal Pradesh region. inventory map was created using from field visits, Linear Imaging Self-Scanning Sensor (LISS III), Google Earth. Thereafter, eight causative factors, viz. slope, aspect, curvature, elevation, Landuse Landcover (LULC), soil, lithology, drainage density were performed by employing weight evidence (WOE), value method (IVM) frequency ratio (FR) methods. Using ArcGIS reclassification tool, final zonation (LSZ) categorized into five zones: "very low, medium, high, very high." success rate for WOE, FR, IVM models determined as 76.27%, 78.20%, 76.09% respectively, depicting that FR model based LSZ more accurate. According map, highly susceptible classes case lithology are southeast, concave, TBS, respectively. sparsely vegetated areas landslides than other LULC areas. higher elevations, ranging 1191 1434, 1434–1655, 1655–1876 m, vulnerable compared low elevations. 30–45 45–60, medium class fine loamy soils likely prepared zone can be used future mitigation planning high zones order reduce landslide-related human economic losses.
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