Abstract
Abstract. Landslides are among the most important natural hazards that lead to modification of the environment. Therefore, studying of this phenomenon is so important in many areas. Because of the climate conditions, geologic, and geomorphologic characteristics of the region, the purpose of this study was landslide hazard assessment using Fuzzy Logic, frequency ratio and Analytical Hierarchy Process method in Dozein basin, Iran. At first, landslides occurred in Dozein basin were identified using aerial photos and field studies. The influenced landslide parameters that were used in this study including slope, aspect, elevation, lithology, precipitation, land cover, distance from fault, distance from road and distance from river were obtained from different sources and maps. Using these factors and the identified landslide, the fuzzy membership values were calculated by frequency ratio. Then to account for the importance of each of the factors in the landslide susceptibility, weights of each factor were determined based on questionnaire and AHP method. Finally, fuzzy map of each factor was multiplied to its weight that obtained using AHP method. At the end, for computing prediction accuracy, the produced map was verified by comparing to existing landslide locations. These results indicate that the combining the three methods Fuzzy Logic, Frequency Ratio and Analytical Hierarchy Process method are relatively good estimators of landslide susceptibility in the study area. According to landslide susceptibility map about 51% of the occurred landslide fall into the high and very high susceptibility zones of the landslide susceptibility map, but approximately 26 % of them indeed located in the low and very low susceptibility zones.
Highlights
Global climate change and the increasing human population over the past few decades have deeply affected the geoenvironment [Wang et al, 2013]
Landslide is a major cause of substantial damages that lead to property and loss of life in many countries across the world every year
Several algorithms and models have been proposed for generating the Landslide Susceptibility that mainly include Analytical Hierarchy Process ( analytic hierarchy process (AHP)) [khazeri et al, 2010],logistic regression[Carrara et al.,1983],fuzzy-logic[Gee et al, 1991],artificial neural network analysis[Canani et al,2008] modeling approaches[Perriello Zampelli et al,2012], Fuzzy Analytical Hierarchy Process (FAHP) [Shadman Roodposhti et al, 2010], Geographically weighted principal component analysis [Faraji Sabokbar et al, 2014] etc, that most of which are related to the weight of landslide factors
Summary
Global climate change and the increasing human population over the past few decades have deeply affected the geoenvironment [Wang et al, 2013]. A landslide susceptibility map depicts areas likely have landslides in the future by correlating some of the principal factors that contribute to landslides with the past distribution of slope failures [Brabb et al, 1984]. Several algorithms and models have been proposed for generating the Landslide Susceptibility that mainly include Analytical Hierarchy Process ( AHP) [khazeri et al, 2010],logistic regression[Carrara et al.,1983],fuzzy-logic[Gee et al, 1991],artificial neural network analysis[Canani et al ,2008] modeling approaches[Perriello Zampelli et al ,2012] , Fuzzy Analytical Hierarchy Process (FAHP) [Shadman Roodposhti et al, 2010], Geographically weighted principal component analysis [Faraji Sabokbar et al, 2014] etc, that most of which are related to the weight of landslide factors. Studies demonstrate that many techniques have been used for landslide susceptibility mapping and have achieved excellent results. The main corresponding Author, 09197739987 difference between present study and the approaches described before is that we combined three model AHP, Fuzzy logic and frequency ratio to calculate landslide susceptibility hazard in Dozein basin. It is predicted to have better results rather than past studies
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
