With the development of urbanization, cities have become the focus of attention and the demand for natural resources and attention to their global environmental impact has increased.Urban planning and urban planning activities have increased the pressure on nature and w
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With the development of urbanization, cities have become the focus of attention and the demand for natural resources and attention to their global environmental impact has increased.Urban planning and urban planning activities have increased the pressure on nature and weakened its resilience, which has often had devastating consequences for cities and their inhabitants.Therefore, the purpose of this study is to model the degree of resilience of the city against natural hazards with emphasis.The method used in this study is to use GIS software to determine the most resilient points and to use the methods of genetic algorithm(GA)and particle swarm intelligence(PSO)and their programming.It is in MATLAB environment, to use it to determine the most important components of urban resilience and effective solutions to strengthen resilience.Against the flood was determined and then the final hazard map was prepared by combining all the mentioned components. In the second stage, to determine the most important components of resilience in the city, this time 32 indicators of resilience components based on 4 criteria(physical-spatial, Economic,social, institutional) and was analyzed using the method of genetic algorithm, which finally3 points of the city, respectively(Stadium Sh Hid Watani, Tlar Park, Siraj Park)were selected and prioritized as the most resilient areas. Then, in order to confirm and compare the research findings by genetic algorithm(GA)PSO method was used.In the final stage It is suggested that increasing the resilience of Ghaemshahr city in the first stage requires strengthening and modifying the structures of the natural environment and then maintaining a safe environment.
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