Landslide Hazard Assessment and Zonation Using a Network Analysis (ANP) and the Fuzzy Logic Model (Case Study: Salavat Abad Basin Sanandaj)

Document Type : Research Article


1 Associate Professor, Department, Faculty of New Sciences and Technologies, University of Tehran, Iran

2 M.Sc. in Ecohydrology Engineering, Faculty of New Sciences and Technologies, University of Tehran, Iran


Identifying areas susceptible to landslide through risk zoning is one of the most effective and necessary measures to reduce potential hazards and manage risks. Providing a landslide zoning map allows vulnerable areas to be identified and considered in environmental planning. The purpose of this study was to determine the landslide hazard zonation in Salavat Abad Basin of Sanandaj by providing information layers and effective factors on landslide hazard using fuzzy method and network analysis process (ANP). In order to zone the risk of landslide in Salavat Abad basin, slope, gradient, geology, land use, rainfall, distance from the river, distance from the fault, distance from the road were used for landslide risk zoning. The standard fuzzy layers are overlapped and organized in the GIS environment, and then the weight of effective factors is calculated by the ANP model and applied to the information layers for the GIS environment. By overlapping them, the landslide landslide zoning map in 5 floors is as follows: very sensitive, High, medium, low, and very low. The results of this assessment showed that the total area of ​​the Salavat Abad Basin with an average risk area of ​​804.77 ha (32.18%). Among the eight factors surveyed, the incidence of landslide was the gradient with weight (0.224) and the geological criterion with weight (0.194), the highest weight, and the distance from the fault with weight (0.036), the criterion of distance from The river with weight (0.058) and precipitation with weight (0.056) had the lowest weight for zoning the risk of landslide. The greatest risk of landslide is towards the slopes of the south, south east and east. Also, slopes higher than 10% had the highest risk of landslide.


Main Subjects

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Volume 6, Issue 4
January 2020
Pages 993-1002
  • Receive Date: 09 February 2019
  • Revise Date: 21 July 2019
  • Accept Date: 21 July 2019
  • First Publish Date: 22 December 2019
  • Publish Date: 22 December 2019