Using GIS Combined with AHP for Mapping landslide Susceptibility in Mila, in Algeria

Abstract

Due to the complexity of its structure and morphology, the soil in the Mila area has experienced numerous landslides; damaging the road network and other supporting infrastructure. First, the most important landslide types were inventoried and mapped using existing data. The objective of this study is to develop a model based on the AHP analytical hierarchy process and integrate cartographic data into a GIS geographic information system for identifying and mapping regional landslide susceptibility. The approach uses factors such as slope, lithology, land use, road location, fault, flow and drainage network density as the main criteria to control the occurrence of selected landslides. The results showed that 15% of ground movement occurred in areas of high to very high susceptibility, 55% in areas of moderate susceptibility, and 30% in areas of very low to low susceptibility. The resulting map is subsequently validated by comparing the location of the mapped landslides with the susceptibility classes. The analysis of the results of this study shows that the landslide vulnerability map is a powerful decision support tool for local community development plans in the Algerian municipality of Mila.