Uncertainty Analysis of GIS-based Ordered Weighted Averaging Method for Landslide Susceptibility Mapping in Urmia Lake Basin, Iran
نویسندگان
چکیده
GIS-based Multicriteria Decision Analysis (GIS-MCDA) provides a rich collection of techniques and procedures for landslide susceptibility mapping. In this study landslide susceptibility was evaluated by applying different analytical GIS techniques based on Ordered Weighted Averaging (OWA) criteria. The OWA-MCDA is complemented by a Monte Carlo Simulation (MCS) and a Dempster-Shafer Theory (DST). The authors first employ a twostage analysis for landslide hazards in the Urmia lake basin, North Iran. Two landslide susceptibility maps were produced based on GIS-OWA and GIS-MCS-OWA. In doing so, the results of both approaches are qualitatively evaluated using an existing detailed inventory of known landslides for the study area. Finally uncertainty maps are created while applying DST. The results show a strong support for the high susceptibility categories of the landslide susceptibility maps. The results also allude that the integration of MCS and GIS-MCDA can improve the accuracy of the OWA method significantly.
منابع مشابه
GIS-based ordered weighted averaging and Dempster-Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran
GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran Bakhtiar Feizizadeh a b , Thomas Blaschke a & Hossein Nazmfar c a Department of Physical Geography, Centre for Remote Sensing and GIS, University of Tabriz, Tabriz, Iran b Department of Geoinformatics (Z_GIS), University of Salzburg, Salzburg, Austria c Department ...
متن کاملGIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran
The GIS-multicriteria decision analysis (GIS-MCDA) technique is increasingly used for landslide hazard mapping and zonation. It enables the integration of different data layers with different levels of uncertainty. In this study, three different GIS-MCDA methods were applied to landslide susceptibility mapping for the Urmia lake basin in northwest Iran. Nine landslide causal factors were used, ...
متن کاملA Spatially Explicit Approach for Sensitivity and Uncertainty Analysis of GIS-Multicriteria Landslide Susceptibility Mapping
GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is emp...
متن کاملA GIS-based comparative study of the analytic hierarchy process, bivariate statistics and frequency ratio methods for landslide susceptibility mapping in part of the Tehran metropolis, Iran
The high hillsides of the Tehran metropolis are prone to landslides due to the climatic conditions and the geological, geomorphologicalcharacteristics of the region. Therefore, it is vitally important that a landslide susceptibility map of the region be prepared. For thispurpose, thematic layers including landslide inventory, lithology, slope, aspect, curvature, distance to stream, distance to ...
متن کاملA GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping
Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Our method is based on fuzzy membership functions (FMFs) derived from GIS analysis. It makes use of n...
متن کامل