Abstract
We perform a spectral decomposition of the Fourier amplitude spectra disseminated along with the Engineering Strong Motion (ESM) flat file for Europe and Middle East. We apply a non-parametric inversion schema to isolate source, propagation and site effects, introducing a regionalization for the attenuation model into three domains. The obtained propagation and source components of the model are parametrized in terms of geometrical spreading, quality factor, seismic moment, and corner frequency assuming a ω2 source model. The non-parametric spectral attenuation values show a faster decay for earthquakes in Italy than in the other regions. Once described in terms of geometrical spreading and frequency-dependent quality factor, slopes and breakpoint locations of the piece-wise linear model for the geometrical spreading show regional variations, confirming that the non-parametric models capture the effects of crustal heterogeneities and differences in the anelastic attenuation. Since they are derived in the framework of a single inversion, the source spectra of the largest events which have occurred in Europe in the last decades can be directly compared and the scaling of the extracted source parameters evaluated. The Brune stress drop varies over about 2 orders of magnitude (the 5th, 50th and 95th percentiles of the ∆σ distribution are 0.76, 2.94, and 13.07 MPa, respectively), with large events having larger stress drops. In particular, the 5th, 50th and 95th percentiles for M > 5.5 are 2.87, 6.02, and 23.5 MPa, respectively whereas, for M < 5.5, the same percentiles are 0.73, 2.84, and 12.43 MPa. If compared to the residual distributions associated to a ground motion prediction equation previously derived using the same Fourier amplitude spectra, the source parameter and the empirical site amplification effects correlate well with the inter-event and inter-station residuals, respectively. Finally, we calibrated both non-parametric and parametric attenuation models for estimating the stress drop from the ratio between Arias intensity and significant duration. The results confirm that computing the Arias stress drop is a suitable approach for complementing the seismic moment with information controlling the source radiation at high frequencies for rapid response applications.
Highlights
In the context of probabilistic seismic hazard assessment (PSHA), ground motion prediction equations (GMPEs) allow one to compute, for any seismic scenario of interest, the probability of exceeding thresholds for parameters of engineering of interest, such as peak ground acceleration or elastic response spectral accelerations at different periods (Cornell 1968; McGuire 1976)
We exploit the Fourier amplitude spectra disseminated along with the Engineering Strong Motion (ESM) flat file to develop seismological models for describing source, propagation and site effects using the same data set prepared for the development of GMPEs used to update the PSHA in Europe (Weatherill et al 2020)., These seismological models can support the GMPE developers in deciding the regionalization, in taking decision about the functional form and in interpreting the residual distributions; these models quantify the variability of key seismic parameters, such as the anelastic attenuation and the stress drop, needed for the generation of synthetic ground motion through stochastic simulations (Douglas and Aochi 2008; Edwards and Fäh 2013; Drouet and Cotton 2015; Bora et al 2017)
We considered the Fourier Amplitude Spectra (FAS) disseminated along with the flat file extracted from the Engineering Strong Motion data base
Summary
In the context of probabilistic seismic hazard assessment (PSHA), ground motion prediction equations (GMPEs) allow one to compute, for any seismic scenario of interest, the probability of exceeding thresholds for parameters of engineering of interest, such as peak ground acceleration or elastic response spectral accelerations at different periods (Cornell 1968; McGuire 1976). We exploit the Fourier amplitude spectra disseminated along with the ESM flat file to develop seismological models for describing source, propagation and site effects using the same data set prepared for the development of GMPEs used to update the PSHA in Europe (Weatherill et al 2020)., These seismological models can support the GMPE developers in deciding the regionalization, in taking decision about the functional form and in interpreting the residual distributions; these models quantify the variability of key seismic parameters, such as the anelastic attenuation and the stress drop, needed for the generation of synthetic ground motion through stochastic simulations (Douglas and Aochi 2008; Edwards and Fäh 2013; Drouet and Cotton 2015; Bora et al 2017). The recently proposed approach for estimating the stress drop from the Arias intensity (Baltay et al 2019) is investigated, generalizing the approach used for correcting attenuation and site effects
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