Applicability of different ground-motion prediction models for northern Iran

H. Zafarani () and M. Mousavi

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, vol. 73, issue 3, 1199-1228

Abstract: A total of 163 free-field acceleration time histories recorded at epicentral distances of up to 200 km from 32 earthquakes with moment magnitudes ranging from M w 4.9 to 7.4 have been used to investigate the predictive capabilities of the local, regional, and next generation attenuation (NGA) ground-motion prediction equations and determine their applicability for northern Iran. Two different statistical approaches, namely the likelihood method (LH) of Scherbaum et al. (Bull Seismol Soc Am 94:341–348, 2004 ) and the average log-likelihood method (LLH) of Scherbaum et al. (Bull Seismol Soc Am 99:3234–3247, 2009 ), have been applied for evaluation of these models. The best-fitting models (considering both the LH and LLH results) over the entire frequency range of interest are those of Ghasemi et al. (Seismol 13:499–515, 2009a ) and Soghrat et al. (Geophys J Int 188:645–679, 2012 ) among the local models, Abrahamson and Silva (Earthq Spectra 24:67–97, 2008 ) and Chiou and Youngs (Earthq Spectra 24:173–215, 2008 ) among the NGA models, and finally Akkar and Bommer (Seism Res Lett 81:195–206, 2010 ) among the regional models. Copyright Springer Science+Business Media Dordrecht 2014

Keywords: Ground-motion prediction equations; Evaluation of fitness; Ranking; PSHA; Northern Iran (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11069-014-1151-2

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