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Water Resource Vulnerability Characteristics by District’s Population Size in a Changing Climate Using Subjective and Objective Weights

机译:使用主观和客观权重在变化的气候中按地区人口规模划分的水资源脆弱性特征

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The goal of this study is to derive water resource vulnerability characteristics for South Korea according to individual district populations in a changing climate. The definition of water resource vulnerability in this study consists of potential flood damage and potential water scarcity. To quantify these vulnerabilities, key factors, or indicators affecting vulnerability, are integrated with a technique for order of preference by similarity to ideal solution (TOPSIS), which is a multi-criteria decision-making approach to determine the optimal alternative by considering both the best and worst solutions. The weight for each indicator is determined based on both the Delphi technique and Shannon’s entropy, which are employed to reduce the uncertainty in the process of determining the weights. The Delphi technique reflects expert opinions, and Shannon’s entropy reflects the uncertainty of the performance data. Under A1B climate change scenarios, medium-sized districts (200,000–300,000 inhabitants) are the most vulnerable regarding potential flood damage; the largest districts (exceeding 500,000 inhabitants) are found to be the most vulnerable with respect to potential water scarcity. This result indicates that the local governments of cities or districts with more than 200,000 inhabitants should implement better preventative measures for water resources. In addition, the Delphi and entropy methods show the same rankings for flood vulnerability; however, these approaches produce slightly different rankings regarding water scarcity vulnerability. Therefore, it is suggested that rankings from not only subjective but also objective weights should be considered in making a final decision to implement specific adaptive measures to climate change.
机译:这项研究的目的是根据气候变化中各个地区的人口,得出韩国的水资源脆弱性特征。本研究中水资源脆弱性的定义包括潜在的洪灾破坏和潜在的水资源短缺。为了量化这些漏洞,将影响漏洞的关键因素或指标与一种通过与理想解决方案(TOPSIS)相似的优先顺序技术集成在一起,这是一种多准则决策方法,可以通过综合考虑两个因素来确定最佳选择。最佳和最差的解决方案。每个指标的权重都基于Delphi技术和Shannon熵来确定,这可用来减少确定权重过程中的不确定性。 Delphi技术反映了专家的意见,而Shannon的熵反映了性能数据的不确定性。在A1B气候变化情景下,中型地区(200,000–300,000居民)在潜在洪灾损害方面最脆弱;在潜在的水资源短缺方面,最大的地区(超过50万居民)被认为是最脆弱的地区。结果表明,人口超过20万的城市或地区的地方政府应该对水资源采取更好的预防措施。此外,Delphi和熵方法在洪水脆弱性方面的排名相同。但是,这些方法在缺水脆弱性方面的排名略有不同。因此,建议在做出最终决定以实施针对气候变化的具体适应措施的最终决策时,不仅应考虑主观权重,还应考虑客观权重。

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