GIS-MCDA for landslide hazard zonation mappingBakhtiar Feizizadeh and Thomas Blaschke GIS-Multicriteria Decision Analysis (GIS-MCDA) technique is one of the most popular methods that is customized in many GIS for landslide hazard zonation mapping. It helps to handle the problem of integration of different data layers with heterogeneity and certain level of uncertainty. In this study, the GIS-MCDA was applied to develop landslide susceptibility map for the Urmia lake basin which is located in northern west of Iran. To achieve this objective, nine landslide causal factors were taken into consideration. These parameters were extracted and calculated from their associated database. These factors were evaluated, and then factor weight and class weight were assigned to each of the associated factors. The landslide susceptibility maps were produced based on weighted overly techniques including Analytic Hierarchy Process (AHP), Weighted Linear Combination (WLC) and Ordered Weighted Average (OWA). To evaluate qualitatively selection of positive method, inventory of currently landslides of case study area, are compared with susceptibility maps. Results indicated AHP method (With 21.2% covers of currently landslide area in high susceptibility category) is much suitable to landslide susceptibility mapping in comparison of OWA and WLC (With 20.16% and 10.57% covers of currently landslide area in high susceptibility category respectively). |
