Assessment Logistic regression, Analytic hierarchy process and Weight of evidence models in Landslide hazard assessment (Case study: Vaz watershed)
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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Landslide is one of the types of natural hazards that are causing great damage. With the development of human society and social-economic activity damage was related to more landslides. One of the areas prone to natural factors in the occurrence of Vaz watershed a from the north country. Therefore weights of evidence models, logistic regression and Analytic Hierarchy Process to landslide hazard assessment of this area and determine its performance in GIS environment was used. To perform theFirst, landslide points were recognized by using aerial photographs, extensive field studies and subsequently the distribution of landslide map was made. AHP method to prioritize factors in landslide occurrence was used. Review the action feature lithology and distance of road, the most important factors in the occurrence of landslide showed. In the next stage of the model landslide hazard assessment with the four risk categories low, medium high and very high was prepared that Combining with t hazard maps was determined that 20.82 percent of high hazard areas and 45.14 percent in the class field is very high hazard that these statistics show the watershed and from the occurrence of landslide is located in a dangerous situation. Assessment model showed weight of evidence model the amount of 1.22 weight among the highest efficiency model is capable of zoning.
Language:
Persian
Published:
Whatershed Management Research, Volume:27 Issue: 102, 2014
Page:
119
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