Multi-objective Optimization and Management of Treated Wastewater Allocation for Urban Green Space Irrigation

Abstract

AbstractIntroduction: Effective management in metropolitan planning of urban green space water resources is very important due to the rapid growth of urbanization and the limitation of water resources. The purpose of this research is multi-objective optimization and management of treated wastewater allocation using dynamic system models for urban green space irrigation in Shiraz metropolis.Methods: The factors affecting the supply of water resources and irrigation of the green spaces of Shiraz city have been simulated and according to that, the consumption forecast and the number of available resources and the allocation optimization have been presented. Also, in the current research, effective factors in the current and future conditions that can affect the proposed model have been taken into consideration, and two scenarios have been applied, including increasing the efficiency of green space irrigation and the use of treated wastewater.Results: The results showed that increasing the efficiency of irrigation through management of transfer, storage and distribution of water and also irrigation at the right times has a much greater effect compared to the use of purified wastewater in order to reduce the extraction of limited resources. In such a way, by increasing the irrigation efficiency by 40% and 50%, respectively, 14% and 39% of water shortages will be solved.Conclusion: The simulation results showed that in order to achieve the stability of the system, a combination of scenarios of reducing per capita water consumption in green spaces, increasing irrigation efficiency, using purified wastewater and dry landscaped spaces should be considered in the development of urban spaces.

Keywords

• urban green space
• water resource management
• treated wastewater
• multi-objective optimization
• system dynamics
• shiraz city