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Geomechanics and Engineering
  Volume 24, Number 5, March10 2021 , pages 407-418
DOI: https://doi.org/10.12989/gae.2021.24.5.407
 


Fuzzy-based multiple decision method for landslide susceptibility and hazard assessment: A case study of Tabriz, Iran
Yaser A. Nanehkaran, Yimin Mao, Mohammad Azarafza, Mustafa K. Kockar and Hong-Hu Zhu

 
Abstract
    Due to the complexity of the causes of the sliding mass instabilities, landslide susceptibility and hazard evaluation are difficult, but they can be more carefully considered and regionally evaluated by using new programming technologies to minimize the hazard. This study aims to evaluate the landslide hazard zonation in the Tabriz region, Iran. A fuzzy logic-based multi-criteria decision-making method was proposed for susceptibility analysis and preparing the hazard zonation maps implemented in MATLAB programming language and Geographic Information System (GIS) environment. In this study, five main factors have been identified as triggering including climate (i.e., precipitation, temperature), geomorphology (i.e., slope gradient, slope aspect, land cover), tectonic and seismic parameters (i.e., tectonic lineament congestion, distribution of earthquakes, the unsafe radius of main faults, seismicity), geological and hydrological conditions (i.e., drainage patterns, hydraulic gradient, groundwater table depth, weathered geo-materials), and human activities (i.e., distance to roads, distance to the municipal areas) in the study area. The results of analyses are presented as a landslide hazard map which is classified into 5 different sensitive categories (i.e., insignificant to very high potential). Then, landslide susceptibility maps were prepared for the Tabriz region, which is categorized in a high-sensitive area located in the northern parts of the area. Based on these maps, the Bozgoosh-Sahand mountainous belt, Misho-Miro Mountains and western highlands of Jolfa have been delineated as risk-able zones.
 
Key Words
    landslide susceptibility; geohazard; multiple-decision method; geographic information system (GIS); fuzzy logic
 
Address
Yaser A. Nanehkaran and Yimin Mao: School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

Mohammad Azarafza and Mustafa K. Kockar : Department of Civil Engineering, Hacettepe University, Ankara, Turkey

Hong-Hu Zhu: School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu,
 

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