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Study on Fuzzy Optimization Allocation of Reclaimed and Natural Water Resources

机译:再生和天然水资源模糊优化配置研究

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Reclaimed water reusing is an effective measure to solve the water shortage problem in China. While reasonable exploitation and optimizing allocation of water resources is the effective way to realize sustainable development. Based on the characteristics that the objectives in water resources allocation system are conflicting and vague, fuzzy optimization allocation model for reclaimed and natural water resources are developed. All departments in the system are treated as independent individuals with "satisfaction degree" as their objective. Under the condition that water allocation satisfied the demand of water quality and quantity to some extent, three kinds of water resources fuzzy optimization allocation scheme of minimal satisfaction degree optimization model (MSM)、integral satisfaction degree optimization model (ISM)、water environment sustainable development optimization model (WSM) were obtained which can satisfy different requirement aim and provide reference for competition and cooperation among water consumer in water allocation decision-making system. A case study of Tianjin demonstrates the practical application of the models.
机译:再生水重复措施是解决中国水资源短缺问题的有效措施。虽然合理的利用和优化水资源的分配是实现可持续发展的有效途径。基于水资源分配系统的目标是冲突和模糊的特征,开发了开垦和天然水资源的模糊优化分配模型。系统中的所有部门都被视为独立个人,以“满意度”为目标。在水分配满足水质需求的条件下,在一定程度上,三种水资源模糊优化分配分配方案最小满意度优化模型(MSM),积分满意度优化模型(ISM),水环境可持续发展获得了优化模型(WSM),可以满足不同的需求目标,并为水分配决策制度的竞争与合作提供参考。天津的案例研究证明了模型的实际应用。

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