Landslide susceptibility mapping by combining the three methods Fuzzy Logic, Frequency Ratio and Analytical Hierarchy Process in Dozain basin

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.

Prediction of Flash Flood Susceptibility Using Fuzzy Analytical Hierarchy Process (Fahp) Algorithms and Gis: A Study Case of Guelmim Region in Southwestern of Morocco

“…The above-mentioned studies contribute significantly and safely to comprising and removing the complication of the complex Problems by Combining the hierarchical algorithm with the fuzzification algorithm (Saaty 1989;Zadeh 1978). A lot of researchers have applied these algorithms to estimate the flash flood risk and detected that the FAHP help to get the most reliable results (Hategekimana et al 2018;Motevalli and Vafakhah 2016;Papaioannou, Vasiliades, and Loukas 2015;Tazik et al 2014;Yang, Ding, and Hou 2013).…”

Morphological parameters causing landslides: a case study of elevation

“…Precipitation: Elevation is used as a factor for frequent climatization for landslide susceptibility analyses . If we are to speak generally, they affect elevation, precipitation/snow (Koukis and Ziourkas, 1991;Nagarajan, 2000;Gökçeoğlu and Ercanoğlu, 2001;Görcelioğlu, 2003;Tangestani, 2004;Görüm, 2006;Rozos et al, 2008;2011;Yüksel, 2007;Hasekioğulları, 2011;Tazik et al, 2014;Yang et al, 2015;Dölek and Avcı, 2016a, b, c;Balamurugan et al, 2016;Chen et al, 2017). Climate conditions, however, do have potential influence over slope stability (Kavzoğlu et al, 2014;Meng et al, 2015;Wang et al, 2016).…”

“…al., 2010). Namely, elevation affects temperature (Tazik et al, 2014;Meng et al, 2016). Atmospheric heat decreases 0.5 C° every 100 m (Sancar, 2000;Yılmaz, 2009a, b;Kavzoğlu et al, 2012;Avcı and Günek, 2014;Avcı, 2016a, b, c).…”

“…Jimenez-Peralvarez et al (2009) in their study reported that elevation wasn't the most commonly used determinant parameter according to the literature (Fernandez et al, 2008) and that the effect of the parameter was determinant for mountainous areas with different elevation values like their own working areas. Elevation affecting landslide susceptibility at different ranges obfuscates the relationship between landslide activity and elevation (Dai and Lee, 2002;Kavzoğlu and Çölkesen, 2010;Kavzoğlu et al, 2012;Tazik et al, 2014). Because determining the elevations of the landslides that have occured in any region can only be considered as preliminary data (Özşahin, 2015).…”

Geo-spatial Technology for Landslide Hazard Zonation and Prediction

“…2. The fundamental scale by T. L. Saaty[10,11].Various authors[14,15,16,17,18,19] have used AHP for giving weights to various factors of landslide occurrence. The effect of each factor and factor classes, on landslide occurrence, is determined using pairwise comparison, and an equation is modelled for landside susceptible index (LSI), as given below in equation 9 = landslide conditioning factor such as slope, aspect, lithology, etc.…”