Flood risk zoning in Fariman city using fuzzy logic

One of the most important natural hazards is floods, which will cause a lot of damage if they occur. One of the most important ways to deal with this natural hazard is to zoning the flood potential. The present study was conducted with the aim of zoning the risk of floods in Fariman city with emphasis on urban and rural areas in 1399. This type of research is an applied type in which fuzzy logic, hierarchical analysis and GIS software are used. The eight criteria studied in this paper include slope, distance from the river, altitude, geology, land use, rainfall, drainage density and vegetation. Based on the results obtained from the combination of layers by fuzzy overlap method and the final weight obtained from the fuzzy hierarchy analysis model, in which the height variable with a weight coefficient of 0.271 is the highest and land use with a coefficient of 0.040 has the lowest impact on flooding. The study area has. Therefore, according to the flood risk classification map of Fariman city, it can be stated that very high risk areas 17.8%, high risk areas 14.2%, medium risk areas 20.4%, low risk areas 22.5% and areas with high risk Occupies very little risk with 25.1% of the city area; It should also be noted that the city of Freeman is in a very low danger zone. In terms of rural settlements, most of the settlements in this city are in the zone of moderate vulnerability. Therefore, it is suggested that the necessary attention be paid to the improvement, design and implementation of watershed and aquifer management projects and the location of new cities and towns, as well as rural development projects in the study area. Planners and decision makers should also take the necessary action to reduce the risk of proper location of infrastructure and location of city facilities.