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首页> 外文期刊>Journal of Water Resources Planning and Management >Water Resources Management Models Based on Two-Level Linear Fractional Programming Method under Uncertainty
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Water Resources Management Models Based on Two-Level Linear Fractional Programming Method under Uncertainty

机译:不确定条件下基于两级线性分数规划法的水资源管理模型

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摘要

A two-level linear fractional water management (TLFWM) model based on interactive fuzzy programming is developed. The model can solve multi-objective problems quantitatively, particularly for the ratio multi-objective problems (e.g., benefit per unit of water in water resources management system). Furthermore, it takes the cooperation relationship between decision makers into consideration. Considering the stochastic features of runoff, chance-constrained programming is integrated into the TLFWM model framework. A stochastic two-level linear fractional chance-constrained water management (STLFCWM) model is thus proposed with different flow levels involved in the STLFCWM model in the form of probabilities as well. The developed two models are applied to a real case study to allocate the limited water resources to different water users. The obtained solutions can demonstrate the feasibility and suitability of the TLFWM model and STLFCWM model and thus help decision makers to identify desired water resources management policies under uncertainties. (C) 2015 American Society of Civil Engineers.
机译:建立了基于交互式模糊规划的两级线性分数水管理模型。该模型可以定量地解决多目标问题,特别是对于比率多目标问题(例如,水资源管理系统中每单位水的收益)。此外,它还考虑了决策者之间的合作关系。考虑到径流的随机性,将机会受限的编程集成到TLFWM模型框架中。因此,提出了一种随机的两级线性分数机会受限水管理(STLFCWM)模型,并且以概率的形式在STLFCWM模型中涉及不同的流量水平。将开发的两个模型应用于实际案例研究,以将有限的水资源分配给不同的用水者。所获得的解决方案可以证明TLFWM模型和STLFCWM模型的可行性和适用性,从而帮助决策者在不确定性条件下确定所需的水资源管理政策。 (C)2015年美国土木工程师学会。

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