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An Agent-Based Simulation-Optimization Approach to Identify Threat Management Strategies for Water Distribution Systems

机译:基于Agent的仿真优化方法确定供水系统的威胁管理策略

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Threat management decisions in the event of contamination of a waterdistribution system must be tailored to protect public health, maintain fire-fightingflows and flows to critical care facilities, and avoid inciting panic due to false alarms.Threat management strategies may be composed as a set of rules for taking actions tomitigate the situation and protect public health, such as flushing the water distributionsystem by opening fire hydrants or inducing demands, isolating portions of thesystem using control valves, and broadcasting boil water orders. These strategiesmust be robust to control contamination events that vary in time of injection,duration, and mass flow profiles, as well as to avoid false alarms. The developmentof threat management strategies can be improved through the use of a simulationoptimizationframework that simulates the complex interactions between managers'operation decisions, consumers' water consumption choices and the response of thehydraulics and contaminant transport in the water distribution system throughmechanistic and dynamic methods enabled by agent-based models. Heuristicoptimization methods are coupled within the dynamic system simulation frameworkto allow identification of efficient threat management strategies to achieve publichealth protection and maintain acceptable service. These methods will be exploredfor an illustrative case study to identify strategies to achieve these objectives.
机译:遇水污染时的威胁管理决策 必须量身定制配送系统,以保护公众健康,维持消防 并流向重症监护设施,并避免因误报而引起恐慌。 威胁管理策略可以构成为一组规则,用于对威胁采取行动 减轻这种情况并保护公共卫生,例如冲洗配水 通过打开消防栓或诱导需求,隔离系统的一部分 系统使用控制阀,并广播沸水指令。这些策略 必须坚固,以控制随注入时间而变化的污染事件, 持续时间和质量流量曲线,以及避免误报。发展历程 通过使用模拟优化可以改善威胁管理策略 框架,模拟经理之间的复杂互动 运营决策,消费者的用水选择以及应对措施 水分配系统中的水力学和污染物传输通过 基于代理的模型支持的机械和动态方法。启发式 动态系统仿真框架中结合了优化方法 以便确定有效的威胁管理策略以实现公开 健康保护并保持可接受的服务。这些方法将被探索 进行示例性案例研究,以确定实现这些目标的策略。

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