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GIS-based ordered weighted averaging and Dempster-Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

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International Journal of Digital Earth 2014年第8期7卷 688-708页

作者： Bakhtiar Feizizadeh Thomas Blaschke hossein nazmfar Department of Physical Geography Centre for Remote Sensing and GISUniversity of TabrizTabrizIran Department of Geoinformatics(Z_GIS) University of SalzburgSalzburgAustria Department of Geography and Urban Planning University of Mohaghegh ArdabiliArdabilIran

In this paper,GIS-based ordered weighted averaging(OWA)is applied to landslide susceptibility mapping(LSM)for the Urmia Lake Basin in northwest *** landslide causal factors were used,whereby the respective parameters were extracted from an associated spatial *** factors were evaluated,and then the respective factor weight and class weight were assigned to each of the associated factors using analytic hierarchy process(AHP).A landslide suscept-ibility map was produced based on OWA multicriteria decision *** order to validate the result,the outcome of the OWA method was qualitatively evaluated based on an existing inventory of known ***,an uncertainty analysis was carried out using the Dempster-Shafer *** on the results,very strong support was determined for the high susceptibility category of the landslide susceptibility map,while strong support was received for the areas with moderate *** this paper,we discuss in which respect these results are useful for an improved understanding of the effectiveness of OWA in LSM,and how the landslide prediction map can be used for spatial planning tasks and for the mitigation of future hazards in the study area.

关键词： GIS-multicriteria decision analysis OWA uncertainty analysis belief landslide susceptibility mapping Urmia Lake Basin

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