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Prioritization of water management under climate change and urbanization using multi-criteria decision making methods

机译:使用多准则决策方法确定气候变化和城市化条件下水资源管理的优先级

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摘要

This paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2) were obtained by using a statistical downscaling model (SDSM), and the urbanization scenario by surveying the existing urban planning. The flow and biochemical oxygen demand (BOD) concentration duration curves were derived, and the numbers of days required to satisfy the environmental flow requirement and the target BOD concentration were counted using the Hydrological Simulation Program-Fortran (HSPF) model. In addition, five feasible alternatives were prioritized by using multi-criteria decision making techniques, based on the driving force-pressure-state-impact-response (DPSIR) framework and cost component. Finally, a sensitivity analysis approach for MCDM methods was conducted to reduce the uncertainty of weights. The result indicates that the most sensitive decision criterion is cost, followed by criteria response, driving force, impact, state and pressure in that order. As it is certain that the importance of cost component is over 0.127, construction of a small wastewater treatment plant will be the most preferred alternative in this application.
机译:本文量化了由气候变化和城市化引起的流域管理替代方案转换后的有效性,并使用多标准决策技术确定了五个备选方案的优先级。通过使用统计缩减模型(SDSM)获得了气候变化情景(A1B和A2),并通过调查了现有的城市规划获得了城市化情景。得出流量和生化需氧量(BOD)浓度持续时间曲线,并使用Fortran水文模拟程序(HSPF)模型计算满足环境流量需求和目标BOD浓度所需的天数。此外,基于驱动力-压力-状态-冲击-响应(DPSIR)框架和成本要素,使用多准则决策技术确定了五个可行替代方案的优先级。最后,针对MCDM方法进行了灵敏度分析,以减少权重的不确定性。结果表明,最敏感的决策标准是成本,其次是标准响应,驱动力,影响,状态和压力。可以肯定的是,成本构成的重要性超过0.127,因此在此应用中,建设小型废水处理厂将是最可取的选择。

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