| dc.description.abstract | A methodology for landslide susceptibility mapping using an integrated GIS approach is presented under this study. Imbulpe Divisional Secretariat Division in Ratnapura district of Sri Lanka was selected as the study area. Topographic maps and other informative maps were used as inputs to the model. Slope, aspect, drainage proximity, lineament proximity, road proximity, landuse, lithology and soil type were identified as important terrain factors, contributing to landslide occurrences in the region and corresponding thematic data layers were generated. These data layers represent the geological, topographical, and hydrological conditions of the terrain. A numerical rating scheme for the factors was developed using the knowledge of expertise via Analytical Hierarchical Process (AHP) method for spatial data analysis in the GIS. The resulted landslide susceptibility map delineates the area into four different zones as high, moderate, low and very low potential for future landslide occurrences. It was introduced the Landslide Potential Index (LPI) value in this study. The study revealed that about 19.6% of the study area has very low susceptibility, 49.5% has low susceptibility, 22.9% has moderate susceptibility and 8.0% has high susceptibility for landslides. This model can be recommended with finer details for other areas as well, since the model shows that well known Puwakgahawela landslide which was occurred in 2002 and 2016 is in the moderate susceptible area. | en_US |
