Analysis Fine-Classification and comparing urban flood risk using compilation fuzzy operators in Arc GIS software and AHP fuzzy models (Case Study: urmia)

Flooding is a natural disaster that has great human and financial losses. Leveling the ground, invading rivers and canals, natural drainage pattern changes and occurrence of flooding in urban areas, flooded roads and the cost of maintaining the town. Urmia, Iran is one of the cities due to its climate and geology goes up there probability of urban flooding.The aim of the present study is an important indicator for contributing to the flooding a city (away from the river, away from the watercourse and waterways, elevation, slope, aspect, type of land cover and soil type) for mapping vulnerable areas be used against urban flooding. For the analysis of data from the fuzzy operator (Gama) in GIS, as well as with weight bearing selected criteria, the Fuzzy Analytic Hierarchy Process (FAHP), was used for comparison. The results obtained from the operator Gama fuzzy and fuzzy AHP to identify areas vulnerable to flooding urban analogy is drawn. The results of the Fuzzy Gama, the total area of the city, about 11 percent of the approximately 7,803,225m2 has a high potential flooding, which includes much of the West and Southwest of the city of Urmia. But based on Fuzzy AHP used in the study, the total area of about 11 percent, totaling 7,417,360 m2 has a high potential flooding and the area more precisely and identified in other urban areas spread.