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Regional Water Use Structure Optimization Under Multiple Uncertainties Based on Water Resources Vulnerability Analysis

机译:基于水资源脆弱性分析的不确定性下的区域用水结构优化

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In this paper, a modeling framework by combining system dynamic (SD) model and optimal allocation model was developed to study water resources vulnerability and optimal water use structure, and the framework was applied in the middle reaches of Heihe River basin, northwest of China. The SD model could describe the dynamical change of water resources vulnerability by integrating water resources with socio-economic effect. The sensitivity analysis of SD model was then conducted to design appropriate scenarios for finding out the optimal development pattern, and based on which, an integrated water-saving scenario with lower water resources vulnerability was identified for optimization modeling. Then, an inexact fuzzy-parameter two-stage programming (IFTSP) model was developed and applied to optimize water use structure among industries under uncertainties. This study addresses the water resources vulnerability analysis in considering both water resources system and socio-economic system. Water resources vulnerability analysis was combined with optimization model to make adaptive water resources management plans. And the optimal allocation schemes under lower water resources vulnerability are more advantageous for regional sustainable development.
机译:本文建立了系统动态模型和最优分配模型相结合的建模框架,研究水资源脆弱性和最优用水结构,并将其应用于我国西北黑河流域中游。 SD模型可以通过将水资源与社会经济效应相结合来描述水资源脆弱性的动态变化。然后对SD模型进行敏感性分析,以设计合适的方案,以找到最佳的开发模式,并在此基础上,确定水资源脆弱性较低的综合节水方案用于优化建模。然后,建立了不精确的模糊参数两阶段规划(IFTSP)模型,并将其用于优化不确定性行业之间的用水结构。本研究在考虑水资源系统和社会经济系统的同时,对水资源脆弱性进行了分析。将水资源脆弱性分析与优化模型相结合,制定了适应性的水资源管理计划。在水资源脆弱性较低的情况下,最优分配方案更有利于区域可持续发展。

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