Assessment of flood risk using GIS and RS in the south of Kerman province (case study: Hamoon- Jazmoorian catchment)

Document Type : Research Article

Authors

1 MSc, Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

2 Assistant Professor, Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

3 Associate Professor, Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

Abstract

This research set out to assess the flood risk in the Hamoon-Jazmoorian catchment applying 13 affecting factors as informative layers including elevation, slope, slope direction, topographic curvature, drainage density, distance from the waterway, geology, vegetation, land use, rainfall, topographic moisture index, flow strength index and soil type. To this end, the Analytical Hierarchy Process (AHP) method was applied in the form of a matrix of paired comparisons for prioritizeing and determineing the weight. Then each layer was made fuzzy between 0 and 1 by fuzzy logic model and the weights obtained by AHP method were multiplied in them. Next, based on the method of linear-weighted combination with the integration of 13 layers of information, a flood zoning map was obtained. Finally, the AWEI index was applied to each satellite image before and after the flood separately to validate the results as a ground reality, in which the areas affected by the flood situating around Hamoon-Jazmoorian and areas close to the main waterways were determined using the technique of changes determination. The results of the validation of the map of the flooded areas revealed that the gamma validation method in 1992 and 2016 has the highest consistent with the results of satellite images with 97.96 % and 98.18 % of similarity, respectively.

Keywords

Main Subjects


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Volume 10, Issue 1
April 2023
Pages 33-47
  • Receive Date: 01 January 2023
  • Revise Date: 31 January 2023
  • Accept Date: 03 March 2023
  • First Publish Date: 01 August 2023
  • Publish Date: 01 August 2023