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A Complex Adaptive Systems Approach to Develop Basin-scale Optimal Management Strategies for Water Resources Systems

机译:开发水资源系统流域规模最优管理策略的复杂自适应系统方法

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Sustainable basin-scale management of water resources is challenged by the rapid increase in population and the expected changes in future climatic conditions. Population and economic growth has caused increases in water demands which, along with climate variability, may reduce the availability of water resources. Management strategies often employ supply-side management for water scarcity through the design and implementation of large infrastructure improvements. The stresses on water system could alternatively be reduced by conservation-based policy developments, including outdoor water use restrictions and household-level adoption of water smart technologies. An adaptive management approach may achieve high levels of water conservation most effectively. For example, policy officials may campaign for water conservation measures during drought conditions only, or inter-basin transfers may be implemented by anticipating the timing of inflows to the reservoirs. This research will explore adaptive basin-scale management strategies by modeling an urban water resources system as a Complex Adaptive System. Agent-based modeling is used to represent policy and consumer water use model, and are coupled with a reservoir system model. Policy officials can select pumping and inter-basin transfer operations and or water use restrictions, and consumers can select water use behaviors based on policy developments and pricing information. The proposed adaptive modeling framework will be applied to a case study, and optimal management strategies will be developed to minimize energy costs for different climatic conditions.
机译:通过人口迅速增加和未来气候条件的预期变化,可持续盆地规模管理受到挑战。人口和经济增长导致水需求的增加,随着气候变异性,可能会降低水资源的可用性。管理策略通常通过设计和实施大型基础设施改进来利用供应方管理水资源稀缺。通过基于保护的政策发展,可以减少水系统的应力,包括室外用水限制和水智能技术的家庭水平。自适应管理方法可以最有效地实现高水平的水康复。例如,政策官员可能会在干旱条件下的水资源措施进行运动,或者通过预期流入水库的时间来实施池间转移。本研究将通过将城市水资源系统建模为复杂的自适应系统来探索自适应盆地规模管理策略。基于代理的建模用于代表政策和消费者用水模型,并与储层系统模型耦合。政策官员可以选择抽水和池间转移操作和水使用限制,消费者可以根据政策开发和定价信息选择水使用行为。拟议的自适应建模框架将应用于案例研究,将开发出最佳管理策略,以尽量减少不同气候条件的能源成本。

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