Zoning modeling and urban flood risk prediction using satellite images and GIS (case study of Shahr mohr)

Subject Areas :

esmail barzegar ¹ , abdolrasuol ghanbari ² , Marziyeh Mogholi ³

1 - PhD student of Islamic Azad University, Larestan branch
2 - Assistant Professor of Islamic Azad University, Larestan branch
3 - faculty member Department of Geography, Larestan Branch, Islamic Azad University, Larestan, Iran

Received: 2022-07-18 Accepted : 2022-08-22 Published : 2022-02-20

Keywords: GIS, Flood, Risk zoning, AHP-Fuzzy, Shahr Mehr,

Abstract :

Floods can have various causes. One of the new and challenging reasons of the 21st century is the issue of land use changes, a detailed examination of the set of environmental factors that are the cause of these incidents shows that human intervention in the natural water cycle through vegetation in watershed areas, Urban development and industrialization of communities have adverse effects on the hydrology of the catchment basin and cause intensification of floods, increase of pollution in the catchment area, reduction of base flows and reduction of underground water supply. Flood is one of the complex and destructive natural phenomena that causes a lot of damage every year. In order to plan for the optimal use and control of natural flood phenomena, which is one of the issues in the world, including our country, many studies and researches are needed.For this purpose, the purpose of this research was to investigate the situation of Mehr city located in the south of Fars province, in terms of flooding and risk zoning due to this important natural disaster. This survey was done in a descriptive-analytical way and in order to predict the extent of damages caused by floods. The required data was collected in this regard. The collected data were weighted after correction and transformation, and after performing pairwise comparisons and determining the final coefficients of each layer, the required maps were prepared. AHP model and relevant software, especially Choice Export, ArcGIS, etc., were used to determine the weight and final coefficients.