Volume 9, Issue 4 (3-2016)                   2016, 9(4): 3093-3112 | Back to browse issues page


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soori S, Baharvand S. Landslide Hazard Zonation using Fuzzy Logic and Density Area Model (Case Study: Kakasheraf Basin, Southwest Khorramabad). Journal of Engineering Geology 2016; 9 (4) :3093-3112
URL: http://jeg.khu.ac.ir/article-1-1958-en.html
1- , soorisalman@yahoo.com
Abstract:   (6231 Views)
Landslide is one of the mass movement processes that occur in Iran and parts of the world every year. It causes huge human loss and economical damages. In order to check the stability of slopes in Kakasheraf basin, in the first step sliding areas were identified using the aerial photography and field surveys and then distribution map of landslide is provided. The impact of each of these factors which included dip, aspect, altitude, lithology, landuse and distance from the road and drainage are assessed through Arc GIS software merging the effective factors on landslide with the landslide distribution map. Then these factors were prioritized using AHP model. In this study, the fuzzy logic and density area method has been used in the Kakasheraf basin in order to identify landslide hazard zonation. The empirical probability index (EPI) has been used to assess and classify the models outputs in the landslide risk estimation.Results show that the fuzzy logic is more applicable method than density area model for mapping the landslide risk in Kakasheraf basin
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Type of Study: Case-Study | Subject: En. Ecosystem
Accepted: 2016/10/5 | Published: 2016/10/5

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