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Exploring probabilistic seismic risk assessment accounting for seismicity clustering and damage accumulation: Part Ⅰ. Hazard analysis

机译:探索概率地震风险评估核算综合体和损伤积累:第Ⅰ部分。 危险分析

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摘要

Probabilistic seismic hazard analysis (PSHA), as a tool to assess the probability that ground motion of a given intensity or larger is experienced at a given site and time span, has historically comprised the basis of both building design codes in earthquake-prone regions and seismic risk models. The PSHA traditionally refers solely to mainshock events and typically employs a homogeneous Poisson process to model their occurrence. Nevertheless, recent disasters, such as the 2010-2011 Christchurch sequence or the 2016 Central Italy earthquakes, to name a few, have highlighted the potential pitfalls of neglecting the occurrence of foreshocks, aftershocks, and other triggered events, and pinpointed the need to revisit the current practice. Herein, we employ the epidemic-type aftershock sequence (ETAS) model to describe seismicity in Central Italy, investigate the model's capability to reproduce salient features of observed seismicity, and compare ETAS-derived one-year hazard estimates with ones obtained with a standard mainshock-only Poisson-based hazard model. A companion paper uses the hazard models derived herein to compare and contrast loss estimates for the residential exposure of Umbria in Central Italy.
机译:概率地震危害分析(PSHA)作为评估给定强度或更大的接地运动的工具在给定的站点和时间跨度经历的概率,历史上包括地震 - 易发地区的建筑物设计代码的基础。地震风险模型。 PSHA传统上仅指主轴的事件,通常采用均匀的泊松过程来模拟其发生。尽管如此,最近的灾难,如2010-2011基督城序列或2016年意大利地震,为少数人名,突出了忽视忽视了预击,余震和其他触发事件的潜在陷阱,并确定了重新审视的需要目前的做法。在此,我们采用疫情型余震序列(ETAS)模型来描述意大利中部的地震性,研究模型的再现突出特征的能力,并比较了与标准主轴获得的ETAS衍生的一年危险估计 - 基于泊松的危险模型。伴侣纸使用这里衍生的危险模型来比较意大利中部翁布里亚住宅暴露的造影损失估计。

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