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Pan-European ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5 %-damped PSA at spectral periods up to 3.0 s using the RESORCE dataset

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An Erratum to this article was published on 31 January 2014

Abstract

This article presents a set of Ground-Motion Prediction Equations (GMPEs) for Europe and the Middle East, derived from the RESORCE strong motion data bank, following a standard regression approach. The parametric GMPEs are derived for the peak ground acceleration, peak ground velocity, and 5 %-damped pseudo-absolute acceleration response spectra computed over 23 periods between 0.02 and 3 s, considering the average horizontal-component ground-motions. The GMPEs are valid for distances less than 300 km, hypocentral depth up to 35 km and over the magnitude range 4–7.6. Two metrics for the source-to-station distance (i.e. Joyner-Boore and hypocentral) are considered. The selected dataset is composed by 2,126 recordings (at a period of 0.1 s) related to 365 earthquakes, that includes strong-motion data from 697 stations.The EC8 soil classification (four classes from A to D) discriminates recording sites and four classes (normal, reverse, strike-slip, and unspecified) describe the style of faulting. A subset which contains only stations with measured Vs30 and earthquakes with specified focal mechanism (1,224 records from 345 stations and 255 earthquakes) is used to test of the accuracy of the median prediction and the variability associated to the broader data set. A random effect regression scheme is applied and bootstrap analyses are performed to estimate the 95 % confidence levels for the parameters. The total standard deviation sigma is decomposed into between-events and within-event components, and the site-to-site component is evaluated as well. The results show that the largest contribution to the total sigma is coming from the within-event component. When analyzing the residual distributions, no significant trends are observed that can be ascribed to the earthquake type (mainshock-aftershock classification) or to the non-linear site effects. The proposed GMPEs have lower median values than global models at short periods and large distances, while are consistent with global models at long periods \((\hbox {T} > 1)\) s. Consistency is found with two regional models developed for Turkey and Italy, as the considered dataset is dominated by waveforms recorded in these regions.

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Acknowledgments

The coefficients of the GMPEs derived in this study and their 95 % confidence intervals are available in the Electronic Supplements of this article, along with some Matlab scripts to compute predictions for different selections of the explanatory variable. Comments from an anonymous Reviewer and from C. Cauzzi triggered significant improvements in the article. The Editor J. Douglas is also acknowledged. The research activities of D. Bindi have been founded through the REAKT (Strategies and Tools for Real Time Earthquake Risk Reduction) EU-FP7 project.

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Authors and Affiliations

  1. Helmholtz Centre Potsdam GFZ, German Research Centre for Geosciences, Helmholtzstraße 7, 14467 , Potsdam, Germany

    D. Bindi

  2. Istituto Nazionale di Geofisica e Vulcanologia, via Bassini 15, 20133 , Milano, Italy

    M. Massa, L. Luzi, F. Pacor, R. Puglia & P. Augliera

  3. FUGRO-Geoter, 13390 , Auriol, France

    G. Ameri

Authors
  1. D. Bindi
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  2. M. Massa
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  3. L. Luzi
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  4. G. Ameri
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  5. F. Pacor
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  6. R. Puglia
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  7. P. Augliera
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Correspondence to D. Bindi.

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Appendix

Appendix

See Tables 6, 7, 8 and 9.

Table 6 95 % Confidence intervals for the model derived in this study (see Eqs. 1–3) for \(\hbox {R}_\mathrm{JB}\) and EC8 ground categories
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Table 7 95 % Confidence intervals for the model derived in this study (see Eqs. 1–3) for \(\hbox {R}_\mathrm{JB}\) and Vs30 classification
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Table 8 95 % Confidence intervals for the model derived in this study (see Eqs. 1–3) for \(\hbox {R}_\mathrm{HYPO}\) and EC8 ground categories
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Table 9 95 % Confidence intervals for the model derived in this study (see Eqs. 1–3) for \(\hbox {R}_\mathrm{HYPO}\) and Vs30 classification
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Bindi, D., Massa, M., Luzi, L. et al. Pan-European ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5 %-damped PSA at spectral periods up to 3.0 s using the RESORCE dataset. Bull Earthquake Eng 12, 391–430 (2014). https://doi.org/10.1007/s10518-013-9525-5

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