European Journal of Molecular & Clinical Medicine

Abstract

This study was aimed to utilize the decision-making capability of Analytical Hierarchy Process (AHP) and empirical rating capability of Bureau of Indian Standard code (BIS – 14496) methods to perform landslide susceptibility zonation (LSZ) mapping of slopes bounding Koteshwar reservoir. The key issue in selection of mapping unit in any LSZ mapping was simplified by adopting slope facet as the mapping unit. Slope facets were demarcated by using very high resolution ALOS PALSAR 12.5m digital elevation model. Total 54 facets were traced on the reservoir bounding slopes. For each slope facet, the influence of geo-environmental factors, namely, lithology, structural favourability, land use land cover, hydrogeological condition, slope angle and relative relief (as per BIS code) on the landslide propensity was evaluated using ratings proposed in the BIS code and the AHP method. LSZ map was created based on the procedure given in the BIS code. Landslide susceptibility index (LSI) values for each slope facet was calculated by simple arithmetic overlay operation which resembles total estimated hazard (TEHD) calculation given in BIS code. Further, LSI values were normalized to a range TEHD values. The LSI values were classified into five relative susceptible zones. Validation of both LSZ maps was carried out by establishing a relationship of observed landslides in the field with the facets identified under various susceptible zones.