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An inexact fractional programming model for irrigation water resources optimal allocation under multiple uncertainties

机译:多不确定条件下灌溉水资源最优分配的不精确分式规划模型

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摘要

In reality, severe water shortage crisis has made bad impact on the sustainable development of a region. In addition, uncertainties are inevitable in the irrigation system. Therefore, a fully fuzzy fractional programming model for optimization allocation of irrigation water resources, which aimed at not only irrigation water optimization but also improving water use efficiency. And then the developed model applied to a case study in Minqin County, Gansu Province, China, which selected maximum economic benefit of per unit water resources as planning objective. Moreover, surface and underground water are main water sources for irrigation. Thus, conjunctive use of surface and underground water was taken under consideration in this study. By solving the developed model, a series of optimal crop area and planting schemes, which were under different α-cut levels, were offered to the decision makers. The obtained results could be helpful for decision makers to make decision on the optimal use of irrigation water resources under multiple uncertainties.
机译:实际上,严重的水资源短缺危机已经对该地区的可持续发展产生了不良影响。另外,灌溉系统中不可避免地存在不确定性。因此,建立了一种用于灌溉水资源优化分配的完全模糊分数规划模型,该模型不仅针对灌溉用水优化,而且还提高了用水效率。然后将开发的模型应用于中国甘肃省民勤县的案例研究,该模型选择了单位水资源的最大经济效益作为规划目标。此外,地表水和地下水是灌溉的主要水源。因此,本研究考虑了地表水和地下水的联合使用。通过求解所开发的模型,为决策者提供了一系列在不同的α-削减水平下的最佳作物面积和种植计划。获得的结果可能有助于决策者在多重不确定性下做出灌溉水资源的最佳利用决策。

著录项

  • 期刊名称 other
  • 作者单位
  • 年(卷),期 -1(14),6
  • 年度 -1
  • 页码 e0217783
  • 总页数 17
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-21 11:05:45

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