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Bommer, Julian J.; Douglas, John; Strasser, Fleur O.

doi:10.1023/a:1026323123154

Cited by 154 publications

(20 citation statements)

References 38 publications

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“…The trend in spectral ratios versus period is largely consistent with that shown by the dB e values between the two events. However, this finding is contrary to some previous studies (e.g., Bommer et al 2003;Ren et al 2018), which have reported that a reverse-slip earthquake might generally be expected to produce ground motions with greater (lower) amplitude at short and intermediate (long) periods than a strike-slip event. As mentioned above, the value of stress drop is considerably different between the two events (i.e., 2.04 MPa for WcA1 and 0.40 MPa for WcA2), which might have a much more important influence than fault type on source effects.…”

Section: Figurecontrasting

confidence: 99%

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Ren

Wen

et al. 2019

Pure Appl. Geophys.

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Observed ground-motion intensity for six earthquakes of M w = 6.0-6.2 that occurred in China's North-South Seismic Zone (NSSZ) was compared with predicted medians from the BSSA14 model. The resulting between-event (dB e ) and withinevent (dW es ) residuals for peak ground acceleration and pseudospectral acceleration up to 5.0 s were used to investigate the impact of source effects and path propagation on the regional variability in observed ground-motion amplitude within the NSSZ. Although the magnitude and fault type were similar among the six earthquakes, the results showed that their source effects were significantly different, which contributed in part to the regional variability in observed ground-motion amplitude. Estimated values for stress drop were found to mirror the trend in variation of the dB e values for short-period ground motions in the six earthquakes. This suggests that stress drop is an important factor for accurate representation of source effects and should be considered in the functional form of ground-motion prediction equations. Anelastic attenuation of ground motion was found to be considerably different in local areas of the NSSZ, which may constitute the primary reason for the regional variability in the observed ground-motion amplitude. The variation in dW es values confirmed that regional adjustment of anelastic attenuation in the BSSA14 model is applicable to some local areas (i.e., around the Longmenshan fault) but not to the NSSZ in its entirety.

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Section: Figurecontrasting

confidence: 99%

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Ren

Wen

et al. 2019

Pure Appl. Geophys.

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“…Usually, within-earthquake standard deviation is found to be larger than that for between-earthquake standard deviation, although the relation depends on the vibration period (e.g. Bommer et al, 2003;Bommer and Crowley, 2006). Atkinson (2006) and Morikawa et al (2008) showed that the total standard deviation of ground-motion prediction may be reduced when using a single site-specifi c model or a region-specifi c correction factor, which is determined by grouping ground-motion data at specifi c stations of a dense strong-motion array.…”

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

“…This reduction, obviously, is related to the within-earthquake component, and Morikawa et al (2008) obtained almost similar values for between-earthquake and within-earthquake standard deviations after the correction. Thus, the between-earthquake correlation ρ η may vary, at a minimum, between 0.06 (Bommer et al, 2003) and 0.5 (Morikawa et al, 2008). The correlation coeffi cient is a relative quantity, so the variation of ρ η is important, and equally the variation of the total standard deviation is important also.…”

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Sokolov¹,

Wenzel²

2013

Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

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“…Betweenearthquake variability increases the possibility of obtaining extreme motions at all considered locations simultaneously. Usually, within-earthquake standard deviation is found to be larger than that for betweenearthquake standard deviation, although the relation is a period-dependent quantity [40]. Atkinson [41] and Morikawa et al [42] showed that the total standard deviation of ground-motion prediction may be reduced when using a single site-specific model or a region-specific correction factor, which is determined by grouping ground-motion data at specific stations of a dense strong-motion array.…”

Section: Introductionmentioning

confidence: 99%

“…This reduction, obviously, is related to the within-earthquake component, and Morikawa et al [42] obtained almost similar values for between-earthquake and within-earthquake standard deviations after the correction. Thus, the between-earthquake correlation may vary, at a minimum, between 0.06 [40] and 0.5 [42]. Sokolov et al [29] analysed the strong-motion database collected by the TSMIP network in Taiwan, which includes about 4650 records from 66 shallow earthquakes (M L >4.5, focal depth <30 km) occurring between 1993 and 2004.…”

Section: Introductionmentioning

confidence: 99%

Influence of spatial correlation of strong ground motion on uncertainty in earthquake loss estimation

Sokolov

Wenzel

2010

Earthq Engng Struct Dyn

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In addition to the mean values of possible loss during an earthquake, parameters of the probability distribution function for the loss to a portfolio (e.g. fractiles and standard deviation) are very important. Recent studies have shown that the proper treatment of ground-motion variability and, particularly, the correlation of ground motion are essential for the estimation of the seismic hazard, damage and loss for distributed portfolios. In this study, we compared the effects of variations in the between-earthquake correlation and in the site-to-site correlation on seismic loss and damage estimations for the extended objects (hypothetical portfolio) and critical elements (e.g. bridges) of a network. A scenario earthquake approach and a portfolio containing a set of hypothetical building and bridges were used for the purpose. We showed that the relative influences of the types of correlation on characteristics of loss distribution and the probability of damage are not equal. In some cases, when the median values of loss distribution or the probability that at least one critical element of a lifeline will be damaged are considered and when the spatial correlation of ground motion is used, the possible variations in the between-earthquake correlation may be neglected. The shape of the site-to-site correlation function (i.e. the rate of decrease of the coefficient of spatial correlation with separation distance) seems also to be important when modelling spatially correlated ground-motion fields.

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Cited by 154 publications

References 38 publications

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Influence of spatial correlation of strong ground motion on uncertainty in earthquake loss estimation

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