2014
DOI: 10.1193/062913eqs175m
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NGA-West2 Ground Motion Model for the Average Horizontal Components of PGA, PGV, and 5% Damped Linear Acceleration Response Spectra

Abstract: We used an expanded PEER NGA-West2 database to develop a new ground motion prediction equation (GMPE) for the average horizontal components of PGA, PGV, and 5% damped linear pseudo-absolute acceleration response spectra at 21 periods ranging from 0.01 s to 10 s. In addition to those terms included in our now superseded 2008 GMPE, we include a more-detailed hanging wall model, scaling with hypocentral depth and fault dip, regionally independent geometric attenuation, regionally dependent anelastic attenuation a… Show more

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Cited by 1,057 publications
(651 citation statements)
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References 26 publications
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“…6) allows the magnitude-scaling of the GMPEs to be tested. The magnitude scaling of five of the models (Abrahamson et al 2014;Boore et al 2014;Campbell and Bozorgnia 2014;Cauzzi et al 2015;Chiou and Youngs 2014) is valid for these data, with no clear trends. The two RESORCE models (Akkar et al 2014b, c;Bindi et al 2014a, b) show slight overprediction for M [ 7.6; neither model was derived using any data from such events.…”
Section: Magnitude Scalingmentioning
confidence: 90%
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“…6) allows the magnitude-scaling of the GMPEs to be tested. The magnitude scaling of five of the models (Abrahamson et al 2014;Boore et al 2014;Campbell and Bozorgnia 2014;Cauzzi et al 2015;Chiou and Youngs 2014) is valid for these data, with no clear trends. The two RESORCE models (Akkar et al 2014b, c;Bindi et al 2014a, b) show slight overprediction for M [ 7.6; neither model was derived using any data from such events.…”
Section: Magnitude Scalingmentioning
confidence: 90%
“…This reduces the total number of records to 1424 from 36 earthquakes (1969 Offshore Portugal and2006 Koryak have only a single PGA observation, which is from farther than 220 km). In general, the between-event and within-event variabilities decrease slightly (Table 2) and the absolute overall biases are less than ±10% for Akkar et al (2014b, c), Abrahamson et al (2014), Bindi et al (2014a, b), Boore et al (2014) and Campbell and Bozorgnia (2014), less than ±20% for Cauzzi et al (2015) and less than ±30% for Chiou and Youngs (2014) and Zhao et al (2016) (note the biases for these two models are slightly higher using this shorter maximum distance). More discussion of the within-and between-event variabilities is given in Sect.…”
Section: Comparisons To Gmpesmentioning
confidence: 99%
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