Bulletin of Earthquake Engineering

, Volume 8, Issue 5, pp 1209–1230

Horizontal and vertical ground motion prediction equations derived from the Italian Accelerometric Archive (ITACA)

Original Research Paper


A set of Ground Motion Prediction Equations (GMPEs) for the Italian territory is proposed, exploiting a new strong-motion data set become available since July 2007 through the Italian Accelerometric Archive (ITACA). The data set is composed by 561 three-component waveforms from 107 earthquakes with moment magnitude in the range 4.0–6.9, occurred in Italy from 1972 to 2007 and recorded by 206 stations at distances up to 100 km. The functional form used to derive GMPEs in Italy (Sabetta and Pugliese in Bull Seismol Soc Am 86(2):337–352, 1996) has been modified introducing a quadratic term for magnitude and a magnitude-dependent geometrical spreading. The coefficients for the prediction of horizontal and vertical peak ground acceleration, peak ground velocity and 5% damped acceleration response spectra are evaluated. This paper illustrates the new data set, the regression analysis and the comparisons with recently derived GMPEs in Europe and in the Next Generation Attenuation of Ground Motions (NGA) Project.


Ground motion prediction equation Strong ground motion Peak ground acceleration Peak ground velocity Acceleration response spectra 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Abrahamson NA, Youngs RR (1992) A stable algorithm for regression analyses using the random effects model. Bull Seismol Soc Am 82: 505–510Google Scholar
  2. Akkar S, Bommer JJ (2007) Empirical prediction equations for peak ground velocity derived from Strong-Motion records from Europe and the Middle East. Bull Seismol Soc Am 97(2): 511–530. doi:10.1785/0120060141 CrossRefGoogle Scholar
  3. Ambraseys NN, Douglas J, Sarma SK, Smit PM (2005) Equations for estimation of strong ground motions from shallow crustal earthquakes using data from Europe and the Middle East: horizontal peak ground acceleration and spectral acceleration. Bull Earthq Eng 3: 1–53. doi:10.1007/s10518-005-0183-0 CrossRefGoogle Scholar
  4. Basili R, Valensise G, Vannoli P, Burrato P, Fracassi U, Mariano S, Tiberti MM, Boschi E (2008) The database of individual seismogenic sources (DISS), version 3: summarizing 20 years of research on Italy’s earthquake geology. Tectonophysics 453: 20–43. doi:10.1016/j.tecto.2007.04.014 CrossRefGoogle Scholar
  5. Bindi D, Luzi L, Pacor F, Franceschina G, Castro RR (2006) Ground-Motion prediction from empirical attenuation relationships versus recorded data: the case of the 1997–1998 Umbria-Marches, Central Italy, Strong Motion Data Set. Bull Seismol Soc Am 96(3): 984–1002. doi:10.1785/0120050102 CrossRefGoogle Scholar
  6. Bindi D, Luzi L, Pacor F, Sabetta F, Massa M (2009a) Towards a new reference ground motion prediction equation for Italy: update of the Sabetta–Pugliese (1996) ground motion prediction equations. Bull Earthq Eng (in press)Google Scholar
  7. Bindi D, Luzi L, Pacor F (2009b) Inter-event and inter-station variability computed for the Italian Accelerometric Archive (ITACA). Bull Seismol Soc Am (in press)Google Scholar
  8. Boore DM, Atkinson GM (2008) Ground motion prediction equations for the mean horizontal component of PGA, PGV and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s. Earthq Spectra 24(1): 99–138. doi:10.1193/1.2830434 CrossRefGoogle Scholar
  9. Bozorgnia Y, Campbell KW (2004) The vertical to horizontal response spectral ratio and tentative procedures for developing simplified V/H and vertical design spectra. J Earthq Eng 8(2): 175–207. doi:10.1142/S1363246904001481 CrossRefGoogle Scholar
  10. Bragato PL, Slejko D (2005) Empirical ground-motion attenuation relations for the Eastern Alps in the magnitude range 2.5–6.3. Bull Seismol Soc Am 95(1): 252–276. doi:10.1785/0120030231 CrossRefGoogle Scholar
  11. Brillinger DR, Preisler HK (1985) Further analysis of the Joyner–Boore attenuation data. Bull Seismol Soc Am 75: 611–614Google Scholar
  12. Cauzzi C, Faccioli E (2008) Broadband (0.05 to 20s) prediction of displacement response spectra based on worldwide digital records. J Seismol. doi:10.1007/s10950-008-9098-y
  13. Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58: 1583–1606Google Scholar
  14. DISS Working Group (2006) Database of Individual Seismogenic Sources (DISS), Version 3.0.2: A compilation of potential sources for earthquakes larger than M 5.5 in Italy and surrounding areas. http://www.ingv.it/DISS/, ©INGV 2005, 2006—Istituto Nazionale di Geofisica e Vulcanologia—All rights reserved
  15. Frisenda M, Massa M, Spallarossa D, Ferretti G, Eva C (2005) Attenuation relationship for low magnitude earthquakes using standard seismometric records. J Earth Eng 9(1): 23–40. doi:10.1142/S1363246905001839 CrossRefGoogle Scholar
  16. Luzi L, Hailemikael S, Bindi D, Pacor F, Mele F (2008) ITACA (ITalian accelerometric archive): a web portal for the dissemination of Italian strong motion data. Seism Res Lett. doi:10.1785/gssrl.79.5
  17. Massa M, Morasca P, Moratto L, Marzorati S, Costa G, Spallarossa D (2008a) Empirical ground motion prediction equations for Northern Italy using weak and strong motion amplitudes, frequency content and duration parameters. Bull Seismol Soc Am 98(3): 1319–1342. doi:10.1785/0120070164 CrossRefGoogle Scholar
  18. Massa M, Pacor F, Luzi L, Bindi D, Milana G, Sabetta F, Gorini A, Marcocci C (2008b) The Italian accelerometric archive (ITACA): data processing. Bull Earthq Eng (this issue)Google Scholar
  19. Sabetta F, Pugliese A (1987) Attenuation of peak horizontal acceleration and velocity from Italian strong-motion records. Bull Seismol Soc Am 77: 1491–1513Google Scholar
  20. Sabetta F, Pugliese A (1996) Estimation of response spectra and simulation of non-stationary earthquake ground motions. Bull Seismol Soc Am 86(2): 337–352Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Istituto Nazionale di Geofisica e VulcanologiaMilanoItaly

Personalised recommendations