A Comparison of NGA Ground-Motion Prediction Equations to Italian Data

Scasserra, Giuseppe; Stewart, Jonathan P.; Bazzurro, Paolo; Lanzo, Giuseppe; Mollaioli, Fabrizio

doi:10.1785/0120080133

Cited by 127 publications

(106 citation statements)

References 30 publications

(142 reference statements)

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“…These authors indicated that the regional differences in ground-motion estimates would be prominent towards smaller magnitude earthquakes, which is a parallel observation with the studies conducted in the other parts of the world (Chiou et al 2010;Atkinson and Morrison 2009). On the other hand, Scasserra et al (2009) emphasized that the use of NGA-West1 GMPEs may over predict the hazard in Italy at large distances because Italian data attenuate faster than the trends depicted in NGA-West1 GMPEs. In a separate study, who developed a GMPE from an extended Turkish database showed that NGA-West1 GMPEs and ground-motion predictive models from pan-European datasets would yield conservative estimates with respect to their GMPE for different earthquake scenarios at different spectral ordinates.…”

Section: Introductionsupporting

confidence: 54%

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Akkar

Kale

2015

Perspectives on European Earthquake Engineering and Seismology

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This paper summarizes the evolution of major strong-motion databases and ground-motion prediction equations (GMPEs) for shallow active crustal regions (SACRs) in Europe and surrounding regions. It concludes with some case studies to show the sensitivity of hazard results at different seismicity levels and exceedance rates for local (developed from country-specific databases) and global (based on databases of multiple countries) GMPEs of the same region. The case studies are enriched by considering other global GMPEs of SACRs that are recently developed in the USA. The hazard estimates computed from local and global GMPEs from the broader Europe as well as those obtained from global GMPEs developed in the US differ. These differences are generally significant and their variation depends on the annual exceedance rate and seismicity. Current efforts to improve the accelerometric data archives in the broader Europe as well as more refined GMPEs that will be developed from these databases would help the researchers to understand the above mentioned differences in seismic hazard.

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Section: Introductionsupporting

confidence: 54%

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Akkar

Kale

2015

Perspectives on European Earthquake Engineering and Seismology

View full text Add to dashboard Cite

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“…There are no strong-motion recordings in South Africa, precluding the possibility of deriving empirical GMPEs for South Africa or using the so-called referenced empirical approach (Atkinson, 2008;Scasserra et al, 2009). After opting not to attempt to derive new stochastic GMPEs for South Africa within the timeframe of the Thyspunt PSHA study, the GMC team applied a variant of the hybridempirical approach (Campbell, 2003) for the development of appropriate GMPEs for use in the PSHA.…”

Section: Overview Of the Gmc Modelmentioning

confidence: 99%

Application of Single-Station Sigma and Site-Response Characterization in a Probabilistic Seismic-Hazard Analysis for a New Nuclear Site

Rodríguez-Marek¹,

Rathje²,

Bommer³

et al. 2014

Bulletin of the Seismological Society of America

147

100

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Aleatory variability in ground-motion prediction, represented by the standard deviation (sigma) of a ground-motion prediction equation, exerts a very strong influence on the results of probabilistic seismic-hazard analysis (PSHA). This is especially so at the low annual exceedance frequencies considered for nuclear facilities; in these cases, even small reductions in sigma can have a marked effect on the hazard estimates. Proper separation and quantification of aleatory variability and epistemic uncertainty can lead to defensible reductions in sigma. One such approach is the single-station sigma concept, which removes that part of sigma corresponding to repeatable site-specific effects. However, the site-to-site component must then be constrained by site-specific measurements or else modeled as epistemic uncertainty and incorporated into the modeling of site effects. The practical application of the single-station sigma concept, including the characterization of the dynamic properties of the site and the incorporation of site-response effects into the hazard calculations, is illustrated for a PSHA conducted at a rock site under consideration for the potential construction of a nuclear power plant.

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“…We infer approximate R JB values from these parameters, guided by the R rup and R JB simulation results from Chiou and Youngs (2006). To calculate the depth to the top of the rupture plane Z TOR , the down-dip rupture width is estimated from H, M w , and focal mechanism, using the relation of Wells and Coppersmith (1994), and Z TOR is approximated as half the down-dip rupture width, following Scasserra et al (2009) andBradley (2013). For these scenarios, we calculate response spectra for each seismic station previously analyzed in this study, using the site information given in Table 1.…”

Section: Applicationmentioning

confidence: 99%

Hard-Site 0 (Kappa) Calculations for Christchurch, New Zealand, and Comparison with Local Ground-Motion Prediction Models

Houtte¹,

Ktenidou²,

Larkin³

et al. 2014

Bulletin of the Seismological Society of America

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The 2010 Canterbury earthquake sequence generated a large number of near-source earthquake recordings, with the vast majority of large events occurring within 30 km of Christchurch, New Zealand's second largest city. We utilize the dataset to estimate the site attenuation parameter, κ 0 , at seven rock and stiff-soil stations in New Zealand's GeoNet seismic network. As part of this study, an orientationindependent definition of κ is proposed to minimize the influence of observed highfrequency 2D site effects. Minimum magnitude limits for the traditional high-frequency fitting method are proposed, based on the effect of the source corner frequency. A dependence of κ 0 on ground-shaking level is also observed, in which events with large peak ground accelerations (PGAs) have lower κ 0 values than events with small PGAs. This observation is not fully understood, but if such a trend holds in future investigations, it may influence how κ 0 is used in hazard assessments for critical facilities. κ 0 values calculated from Fourier amplitude spectra of acceleration (κ 0;AS ) are compared with the native κ 0 of local, empirical, ground-motion prediction equations (GMPEs), calculated using the inverse random vibration theory method (κ 0;IRVT ). κ 0;IRVT is found to be independent of magnitude and distance and agrees with the average κ 0;AS for the region. κ 0;IRVT does not scale strongly with V S30 , indicating that current GMPEs may be capturing the average kappa effect through the V S30 scaling. The results from this study are of particular interest for site-specific ground-motion prediction studies as well as for GMPE adjustments between different regions or rock types.

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A Comparison of NGA Ground-Motion Prediction Equations to Italian Data

Cited by 127 publications

References 30 publications

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Application of Single-Station Sigma and Site-Response Characterization in a Probabilistic Seismic-Hazard Analysis for a New Nuclear Site

Hard-Site 0 (Kappa) Calculations for Christchurch, New Zealand, and Comparison with Local Ground-Motion Prediction Models

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