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PROBABILISTIC RISK ASSESSMENT OF FLOOD DISASTER IN SOUTH KOREA BASED ON CLIMATE CHANGE

机译:基于气候变化的韩国洪涝灾害概率风险评估

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The objective of this study was to develop a method of probabilistic fl ood risk assessment under climate change. Intergovernmental Panel on Climate Change (IPCC) released the new Representative Concentration Pathways (RCP) scenarios of climate change. The RCP4.5 scenario was selected to estimate future fl ood damages. The study area was the Korean peninsula. The spatial and temporal resolutions were on a city and county basis and for four time periods (1990s: 1976-2005, 2025s: 2011-2040, 2055s: 2041-2070 and 2085s: 2071- 2100). Proxy variables were selected to assess the fl ood risk. Z-score method was used to standardize indicators and principal component analysis was conducted to calculate the weighting of indicators. Probability distribution of each indicator was fi tted to analyze the fl ood risk. The Generalized Extreme Value (GEV) distribution was chosen as proper distribution. Convolution was used to merge all probability density functions. As a result, it was concluded that the fl ood risk could increase during 2025s period and continue to rise up to 2055s period. Especially, the extent of the increase from 1990s to 2025s is so large that the countermeasure need to be developed. It is also expected that southern area is more risky for fl ood. It is expected to be used as proper data to establish adaptation policy for climate change.
机译:本研究的目的是在气候变化下制定一种概率漏洞风险评估方法。气候变化(IPCC)政府间议会公布了气候变化的新代表集中途径(RCP)方案。选择了RCP4.5情景以估计未来的损害。研究区是朝鲜半岛。空间和时间决议是在城市和县的基础上,四个时间(1990年表:1976-2005,2025S:2011-2040,2055S:2041-2070和2085S:2071- 2100)。选择代理变量以评估FLOW风险。 Z-Score方法用于标准化指标,进行主成分分析以计算指标的加权。每种指标的概率分布都是为了分析FL ood风险。广义极值(GEV)分布被选为适当的分布。卷积用于合并所有概率密度函数。因此,得出结论,风险在2025年代期间可能会增加,并继续上升至2055年代。特别是,从1990年代到2025年增加的程度如此之大,即需要开发对策。这还预计南部地区对佛罗里达州的风险更大。预计将被用作适当的数据以建立气候变化的适应政策。

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