Volume 19, Issue 72 (summer 2015)                   jwss 2015, 19(72): 321-335 | Back to browse issues page

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Shirani K, Arabameri A R. Landslide Hazard Zonation Using Logistic Regression Method (Case Study:Dez-e-Oulia Basin). jwss 2015; 19 (72) :321-335
URL: http://jstnar.iut.ac.ir/article-1-3085-en.html
Dept. of Agric. and Natur. Resour. Res. and Education Center, Isfahan, Iran. , kouroshshirani@Gmail.com
Abstract:   (15657 Views)

This research was conducted to prepare landslide susceptibility zonation (LSZ) map for the Dez-e-Ouliabasin using logistic regression model. For this purpose, at first, the most important factors affecting land sliding including slope, aspect, elevation, precipitation, the distance from road, the distance from fault, the distance from drainage, land use, and lithology were determined. Then, thelandslide inventory mapwas preparedby using field digital checks, GPS and satellite images. In the next step, the landslide susceptibility zonation mapwas preparedby usinglogistic regression method. According to the obtained coefficients for LSZ maps, the most important factor in the study area was elevation layer. The Receiver Operating Curve (ROC) index value was calculated (0.92), which indicates a very high level and suggests thatthe observed mass movements have a strong relationship with the logistic regression model.

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Type of Study: Research | Subject: Ggeneral
Received: 2015/08/25 | Accepted: 2015/08/25 | Published: 2015/08/25

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