Flood risk zonation using AHP and Fuzzy Logic methods in Sarcheshmeh copper complex

Subject Areas : Crisis Management

elham abaspoor ¹ (Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran)
Reza Hassanzadeh ² (Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran)
Mahdieh Hossinjanizadeh ³ (Ecology Department, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran)
masoud nassiri ⁴ (CEO of Middle East Water and Environment Company (MEWE))

Received: 2022-09-15 Accepted : 2023-01-24 Published : 2023-02-20

Keywords: AHP, GIS, Flood, Sarcheshmeh copper mine,

Abstract :

The purpose of this study is flood risk zonation using Hierarchical Analysis Process (AHP) and Geographic Information System (GIS) in Sarcheshmeh Copper Complex. In order to prepare a flood zoning map in the study area, seven main criteria including slope, land use, vegetation, lithology, drainage network density, topographic wetness index (TWI) and Stream power index (SPI) were selected and studied. In the next step, based on the AHP method, a matrix of pairwise comparisons of criteria and sub-criteria was prepared and their opinions were recorded in Expert Choice software by interviewing experienced experts and the weights of criteria and sub-criteria were calculated. Finally, the flood risk map in GIS environment was produced using the linear weight combination (WLC) method by converting each criterion into a raster layer based on AHP weights, which shows an area of 7.6 square meters of high and very high risk in the region. This map shows the high risk of flooding around the Pit Mine area due to the high altitude and slope in this section. Also, the risk of flooding is high at the site of the new acid plant and gas power plant within the complex. Elsewhere in the complex, flood risk is low and moderate. The results of this study can help experts and planners to determine the development process of the plant, mine and planning to reduce flood risk in the complex.

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