城市供水系统多水源联合调度与应急保障策略研究OA

Taking a certain region in Shaanxi as an example,this article constructs a joint dispatch model with dual objectives of'maximizing social benefits'and'minimizing water supply costs',and optimizes it using the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ).The model incorporates constraints such as water source priority rules and minimum guaranteed amounts for emergency water sources.Test results show that after scheduling with this model,the system's annual water shortage decreased by 62.5％,water supply costs dropped by 15.3％,and the utilization rate of unconventional water sources was significantly improved.In addition,the study further proposes an intelligent emergency support strategy,which,through data-driven resource allocation and dispatch mechanisms,significantly enhances the system's ability to cope with risks such as sudden pollution and droughts,providing a technical reference for the optimization and emergency management of water supply systems in similar regions.