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Compound effects of rainfall and storm tides on coastal flooding risk

机译:降雨与风暴潮汐对沿海洪水风险的复合作用

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摘要

Rainfall and storm tides are both flood drivers in coastal zones. The complex interplay between them can lead to or exacerbate the impacts of flooding. While the dependence between rainfall and storm tides has been extensively studied, the compound effects of them on coastal flood risk have not been well researched. With Haikou city as the case study, this study investigates the bivariate return period of compounding rainfall and storm tide events based on copula functions and the failure probability is used to assess the variation of bivariate flood risk during the entire project lifetime. The results show that (1) there is a significant correlation between rainfall and storm tides. Therefore, bivariate RP analysis can provide more adequate and comprehensive information about risks than univariate RP analysis. Kendall RP can describe the bivariate RP more accurately since the dangerous region of Kendall RP is divided by the joint probability value. (2) Neglecting the compounding impacts and the dependence of rainfall and storm tides causes significant underestimation of the joint RP and failure probability. (3) The bivariate hydrologic risk value will decrease quickly when the design rainfall is higher than 100mm and it becomes small and decrease slowly when the design rainfall exceeds 450mm. Furthermore, the bivariate hydrologic risk value would not decrease until the storm tide is higher than 2m and the values would become quite small as the storm tide exceeds 4.5m. Such bivariate hydrologic risk analysis can provide decision support for hydraulic facility design as well as actual flood control and mitigation.
机译:降雨和风暴潮汐都是沿海地区的洪水司机。它们之间的复杂相互作用可能导致或加剧洪水的影响。虽然降雨和风暴潮汐之间的依赖性已经过广泛研究,但他们对沿海洪水风险的复合效果并未得到很好的研究。随着海口市作为案例研究,本研究调查了基于Copula功能的复合降雨和暴雨潮汐事件的双变次返回期,并且使用失败概率来评估整个项目寿命期间的二抗体洪水风险的变化。结果表明,(1)降雨与风暴潮汐之间存在显着相关性。因此,双变量RP分析可以提供关于风险的更充分和全面的信息,而不是单变量RP分析。由于KENDALL RP的危险区域除以联合概率值,因此KENDALL RP更准确地描述双变量RP。 (2)忽视复合的影响和降雨和风暴潮汐的依赖性导致关节RP和失效概率的显着低估。 (3)当设计降雨高于100毫米时,双变量水文风险值将减少,并且当设计降雨量超过450mm时,它变得较小,减少。此外,在暴风雨潮处高于2米之前,双变化的水文风险值不会降低,并且随着暴雨潮超过4.5米,这些值会变得非常小。这种双变型水文风险分析可以为液压设施设计提供决策支持以及实际防洪和缓解。

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  • 作者单位

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin Peoples R China|Changjiang Inst Survey Planning Design & Res Wuhan Hubei Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin Peoples R China|Tianjin Univ Sch Civil Engn Tianjin Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin Peoples R China|Tianjin Univ Sch Civil Engn Tianjin Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin Peoples R China|Tianjin Univ Sch Civil Engn Tianjin Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Oastal zone; Rainfall and storm tide; Kendall return period; Failure probability; Copula;

    机译:沿海地区;降雨和风暴潮;肯德尔回归期;失败概率;copula;

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