Landslide susceptibility assessment of South Pars Special Zone, southwest Iran

Azarafza M., Ghazifard A., Akgün H., Asghari-Kaljahi E.

ENVIRONMENTAL EARTH SCIENCES, vol.77, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 77
  • Publication Date: 2018
  • Doi Number: 10.1007/s12665-018-7978-1
  • Journal Name: ENVIRONMENTAL EARTH SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Landslide, Geo-hazard, Susceptibility analysis, Risk-ability indices, Weighted fuzzy evidence, South Pars Special Zone, AVERAGE HORIZONTAL COMPONENT, WEIGHTED LINEAR COMBINATION, ARTIFICIAL NEURAL-NETWORK, BLACK-SEA REGION, LOGISTIC-REGRESSION, MULTICRITERIA DECISION, LIKELIHOOD RATIO, GROUND-MOTION, FUZZY-LOGIC, AREA
  • Middle East Technical University Affiliated: Yes

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.