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

被引:24
|
作者
Papadopoulos, Athanasios N. [1 ,2 ]
Bazzurro, Paolo [2 ]
Marzocchi, Warner [3 ]
机构
[1] RED Risk Engn Dev, Via Giuseppe Frank 38, I-27100 Pavia, Italy
[2] Univ Sch Adv Studies IUSS Pavia, Pavia, Italy
[3] Univ Napoli Federico II, Naples, Italy
关键词
Probabilistic seismic hazard assessment; seismicity clustering; aftershock sequences; epidemic-type aftershock sequence model; triggered seismicity; aftershock risk; POINT-PROCESS MODELS; TIME ETAS MODEL; SHORT-TERM; EARTHQUAKE FORECASTS; PARAMETER-ESTIMATION; RESIDUAL ANALYSIS; LONG-TERM; AFTERSHOCKS; SEQUENCE; CALIFORNIA;
D O I
10.1177/8755293020957338
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:803 / 826
页数:24
相关论文
共 28 条