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Rival framings: A framework for discovering how problem formulation uncertainties shape risk management trade-offs in water resources systems

机译:竞争框架:发现问题的不确定性如何影响水资源系统风险管理权衡的框架

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摘要

Managing water resources systems requires coordinated operation of system infrastructure to mitigate the impacts of hydrologic extremes while balancing conflicting multisectoral demands. Traditionally, recommended management strategies are derived by optimizing system operations under a single problem framing that is assumed to accurately represent the system objectives, tacitly ignoring the myriad of effects that could arise from simplifications and mathematical assumptions made when formulating the problem. This study illustrates the benefits of a rival framings framework in which analysts instead interrogate multiple competing hypotheses of how complex water management problems should be formulated. Analyzing rival framings helps discover unintended consequences resulting from inherent biases of alternative problem formulations. We illustrate this on the monsoonal Red River basin in Vietnam by optimizing operations of the system's four largest reservoirs under several different multiobjective problem framings. In each rival framing, we specify different quantitative representations of the system's objectives related to hydropower production, agricultural water supply, and flood protection of the capital city of Hanoi. We find that some formulations result in counterintuitive behavior. In particular, policies designed to minimize expected flood damages inadvertently increase the risk of catastrophic flood events in favor of hydropower production, while min-max objectives commonly used in robust optimization provide poor representations of system tradeoffs due to their instability. This study highlights the importance of carefully formulating and evaluating alternative mathematical abstractions of stakeholder objectives describing the multisectoral water demands and risks associated with hydrologic extremes.
机译:管理水资源系统需要系统基础设施的协调运作,以减轻水文极端现象的影响,同时平衡相互冲突的多部门需求。传统上,推荐的管理策略是通过在单个问题框架下优化系统操作而得出的,假设该问题框架假定准确地代表了系统目标,而默认地忽略了制定问题时进行的简化和数学假设可能产生的多种影响。这项研究说明了竞争性框架框架的好处,在这种框架中,分析师反而质疑了应该如何制定复杂的水管理问题的多个相互竞争的假设。分析竞争对手的框架有助于发现由于替代问题表述的内在偏差而导致的意外结果。通过在几个不同的多目标问题框架下优化系统的四个最大水库的运行,我们在越南的季风红河流域上对此进行了说明。在每个竞争框架中,我们都指定了与水电生产,农业供水和首都河内的防洪有关的系统目标的不同定量表示形式。我们发现某些公式导致违反直觉的行为。特别是,旨在最大程度地减少预期洪灾损失的政策无意中增加了灾难性洪灾事件的风险,有利于水力发电,而鲁棒性优化中通常使用的最小-最大目标由于其不稳定性而无法很好地代表系统权衡。这项研究强调了认真制定和评估利益相关者目标的替代数学抽象的重要性,这些抽象概念描述了多部门的用水需求和与水文极端事件有关的风险。

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  • 来源
    《Water resources research》 |2017年第8期|7208-7233|共26页
  • 作者单位

    Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA;

    Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA;

    Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy;

    Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 03:38:39

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