Background
Type: Article

Landslide susceptibility assessment of South Pars Special Zone, southwest Iran

Journal: Environmental Earth Sciences (18666299)Year: 1 December 2018Volume: 77Issue:
Azarafza M.Ghazifard A.a Akgün H. Asghari-Kaljahi E.
DOI:10.1007/s12665-018-7978-1Language: English

Abstract

This study assesses the landslide susceptibility of the South Pars Special Zone (SPSZ) region that is located in southwest Iran. For this purpose, a combinatorial method containing multi-criteria decision-making, likelihood ratio and fuzzy logic was applied in two levels (regional and local) at three critical zones (northwest, middle and southeast of the project area). The analysis parameters were categorised in seven main triggering factors such as climatology, geomorphology, geology, geo-structure, seismic activity, landslide prone areas and man-made activities which have different classes with multi-agent partnership correlations. Landslide susceptibility maps were prepared for these levels and zones after purified and enriched fuzzy trending runs were performed. According to the results of the risk-ability assessment of the landslide occurrences for SPSZ, the north part of the study area which includes the south edge of the Assalouyeh anticline and the southern part of the Kangan anticline were estimated as high-risk potential areas that were used in landslide hazard mitigation assessment and in land-use planning. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.


Author Keywords

Geo-hazardLandslideRisk-ability indicesSouth Pars Special ZoneSusceptibility analysisWeighted fuzzy evidence

Other Keywords

AsalouyehBushehrFarsIranKangan FieldFuzzy logicHazardsLand useLandslidesMulti agent systemsRisk perceptionCombinatorial methodFuzzy evidencesGeo hazardsLandslide susceptibilityLandslide susceptibility assessmentsLandslide-prone areasMulti criteria decision makingSusceptibility analysisanticlineassessment methodfuzzy mathematicsgeological hazardhazard assessmentindex methodland use planninglandslidemulticriteria analysispartnership approachRisk assessment