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Multiobjective optimization of urban water resources: moving toward more practical solutions

机译:城市水资源的多目标优化:向更实际的解决方案迈进

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摘要

The issue of drought security is of paramount importance for cities located in regions subject to severe prolonged droughts. The prospect of “running out of water” for an extended period would threaten the very existence of the city. Managing drought security for an urban water supply is a complex task involving trade-offs between conflicting objectives. In this paper a multiobjective optimization approach for urban water resource planning and operation is developed to overcome practically significant shortcomings identified in previous work. A case study based on the headworks system for Sydney (Australia) demonstrates the approach and highlights the potentially serious shortcomings of Pareto optimal solutions conditioned on short climate records, incomplete decision spaces, and constraints to which system response is sensitive. Where high levels of drought security are required, optimal solutions conditioned on short climate records are flawed. Our approach addresses drought security explicitly by identifying approximate optimal solutions in which the system does not “run dry” in severe droughts with expected return periods up to a nominated (typically large) value. In addition, it is shown that failure to optimize the full mix of interacting operational and infrastructure decisions and to explore the trade-offs associated with sensitive constraints can lead to significantly more costly solutions.
机译:对于位于遭受严重长期干旱的地区的城市而言,干旱安全问题至关重要。长时间“用尽水”的前景将威胁到这座城市的生存。为城市供水管理干旱安全是一项复杂的任务,涉及相互矛盾的目标之间的权衡。本文提出了一种城市水资源规划和运行的多目标优化方法,以克服先前工作中发现的实际重大缺陷。一项基于悉尼(澳大利亚)总部系统的案例研究证明了该方法,并着重指出了以短期气候记录,不完整的决策空间以及对系统响应敏感的约束为条件的帕累托最优解的潜在严重缺陷。在需要高度干旱保障的地方,以短期气候记录为条件的最佳解决方案存在缺陷。我们的方法通过确定近似的最佳解决方案来明确地解决干旱安全问题,在该解决方案中,系统在严重干旱中不会“干dry”,其预期回报期高达指定的(通常是较大的)值。此外,结果表明,无法优化交互操作和基础架构决策的全部组合,无法探索与敏感约束相关的取舍,会导致成本显着提高。

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