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Systematic Quantitative Risk Analysis of Water Shortage Mitigation Projects Considering Climate Change

机译:考虑气候变化的缺水缓解项目的系统量化风险分析

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摘要

Climate change causes precipitation to be increasingly unstable both spatially and temporally and, thus, is a major factor contributing the risk of a water deficit in Taiwan. Because many planned water shortage mitigation projects lack extensive risk evaluation of this problem, this risk might strongly affect the stability of regional water supply. Therefore, the purpose of this study was to consider climate change in a systematic quantitative risk analysis of water shortage mitigation projects. Accordingly, this paper proposes a process for integrating the method for downscaling global climate models, generalized watershed loading functions rainfall-runoff model, system dynamics approach, and Monte Carlo simulation to evaluate water projects practicably and quantitatively. The proposed methodology was verified using a practical case study of Northern Taiwan and can be used to make decisions regarding project implementation priorities and alternatives. While every alternative of 11 proposed projects can reduce at least 9 % of the shortage risks for both Taoyuan and Banchia-Hsintien regions, five alternatives can reduce the risk to less than 1 % for the Banchia-Hsintien region. And simulation results indicate that expanding water plant is the first priority for the study area. Furthermore, the proposed concepts and procedures are applicable to other areas.
机译:气候变化导致降水在空间和时间上变得越来越不稳定,因此是造成台湾缺水风险的主要因素。由于许多计划中的缓解水资源短缺项目缺乏对该问题的广泛风险评估,因此这种风险可能会严重影响区域供水的稳定性。因此,本研究的目的是在缓解缺水项目的系统量化风险分析中考虑气候变化。因此,本文提出了一种方法,该方法可以将全球气候模型的降尺度方法,广义分水岭负荷函数,降雨径流模型,系统动力学方法以及蒙特卡洛模拟方法进行集成,从而切实可行地定量评估水利工程。该建议的方法已通过台湾北部的实际案例研究得到验证,可用于就项目实施的优先级和替代方案做出决策。虽然11个拟议项目的每个备选方案都可以将桃园和Banchia-Hsintien地区的缺货风险降低至少9%,但五个备选方案可以将Banchia-Hsintien地区的风险降低到不足1%。仿真结果表明,扩建水厂是研究区域的首要任务。此外,提出的概念和程序也适用于其他领域。

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