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Extreme events: a framework for assessing natural hazards

机译:极端事件:评估自然灾害的框架

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The two-step framework for over-threshold modelling of environmental extremes proposed in Bernardara et al. (Nat Hazards Earth Syst Sci 14:635-647, 2014) for univariate analyses is generalized to an event-based framework applicable to multivariate analyses. The distinction between sequential values (temporal observations at a given time step) and the event-describing values (such as storm peaks in univariate Peaks-Over-Threshold extrapolations) is further detailed and justified. The classification of multivariate analyses introduced in Mazas and Hamm (Coast Eng 122:44-59, 2017) is refined and linked to the meaning of the concepts of event, sampling and return period that is thoroughly examined, their entanglement being highlighted. In particular, sampling is shown to be equivalent to event definition, identification and description. Event and return period definition are also discussed with respect to the source phenomena or to response (or structure) phenomena. The extreme event approach is thus proposed as a comprehensive framework for univariate and multivariate analyses for assessing natural hazards, seemingly applicable to any field of environmental studies.
机译:Bernardara等人提出的环境极端过度阈值建模的两步框架。 (NAT危险地球系统SYST SCI 14:635-647,2014)对于单变量分析是推广的,以适用于多变量分析的基于事件的框架。顺序值(在给定时间步骤的时间观测)和事件描述的值(例如单变量峰值过度阈值外推中的事件描述值)的区别是进一步详细的且致力于单变量峰值过阈值外推的风暴峰值)。在Mazas和Hamm(Coast Eng 122:44-59,2017)中引入的多变量分析的分类被精制并与彻底检查的事件概念,采样和返回期的概念的含义相关联,他们的纠缠被突出显示。特别地,示出采样等同于事件定义,识别和描述。还关于源现象或响应(或结构)现象讨论事件和返回期定义。因此,基于极端事件方法是为评估自然灾害的单变量和多变量分析的全面框架,似乎适用于任何环境研究领域。

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