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首页> 外文期刊>Journal of Cleaner Production >A bi-level multi-objective linear fractional programming for water consumption structure optimization based on water shortage risk
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A bi-level multi-objective linear fractional programming for water consumption structure optimization based on water shortage risk

机译:基于缺水风险的水耗结构优化的双层多目标线性分数规划

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In this study, a framework of a bi-level multi-objective linear fractional programming (BMLFP) approach is developed for the optimization of water consumption structure based on water shortage risk. It incorporates linear fractional programming (LFP), multi-objective programming (MOP) into bi-level programming (BP). The model considers the water shortage risk measured by interior-outer-set risk assessment method, and integrates it into inexact water resources optimization model. The complicated model not only can enhance the conventional programming method through the interactive influence and mutual restriction between the upper- and lower-level decision processes, and multiple objectives, but also improve the robustness of conventional programming methods by integrating the water shortage risk. Besides, the model could achieve the tradeoff between equality and economic benefit of system and figure out the interaction amid water shortage risk, water allocation and objectives. It is applied to a case study to conduct water resources management among different water users including agricultural, industrial, domestic, and ecological sectors in the middle reaches of Heihe River Basin, northwest China. The water allocation schemes with ten water-shortage risk scenarios is formed to compare the influence of water shortage degree on water allocation and figure out the optimal water allocation schemes. Besides, the performance of the developed model is enhanced by comparing with the two-level linear fractional water management (TLFWM) model and actual condition. The results indicate that the water shortage belongs to general risk area, and the water-shortage risk has obvious effect on agricultural water allocations while has insensitive influence on that of the industrial, domestic and ecological sectors. Compared with the TLFWM model and actual condition, the developed BMLFP model could improve the equality and benefit of system and lessen the water allocation. The decision makers can find better water-allocation decision alternatives obtained from BMLFP model according to their risk attitude to support social harmony and economic development. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在这项研究中,开发了一种双层多目标线性分数规划(BMLFP)方法框架,以基于缺水风险优化用水结构。它将线性分数编程(LFP),多目标编程(MOP)合并到双层编程(BP)中。该模型考虑了通过内部外部风险评估方法测得的缺水风险,并将其整合到不精确的水资源优化模型中。复杂的模型不仅可以通过上下决策过程之间的相互影响和相互制约,增强多目标来增强传统的编程方法,而且可以通过综合缺水风险来提高传统编程方法的鲁棒性。此外,该模型还可以实现系统平等与经济效益之间的权衡,并能在缺水风险,用水分配与目标之间进行交互。应用于案例研究,对黑河流域中游农业,工业,家庭和生态部门等不同用水户进行水资源管理。形成了具有十种缺水风险情景的配水方案,比较缺水程度对配水的影响,找出最优配水方案。此外,通过与两级线性分数水管理(TLFWM)模型和实际情况进行比较,可以提高模型的性能。结果表明,缺水属于一般风险区域,缺水风险对农业用水分配有明显影响,而对工业,家庭和生态部门的用水影响不敏感。与TLFWM模型和实际情况相比,改进后的BMLFP模型可以提高系统的平等性和效益,减少水的分配。决策者可以根据他们对支持社会和谐和经济发展的风险态度,从BMLFP模型中找到更好的水资源分配决策方案。 (C)2019 Elsevier Ltd.保留所有权利。

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