Equivalent Point-Source Modeling of Moderate-to-Large Magnitude Earthquakes and Associated Ground-Motion Saturation Effects

Yenier, Emrah; Atkinson, Gail M.

doi:10.1785/0120130147

Cited by 65 publications

(85 citation statements)

References 53 publications

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“…The recordwise value of f c may not represent the robust parameter estimate related with the source of an event, yet can be deemed fully consistent within the stochastic model framework as a parameter determining the spectral shape of an individual record. The general scheme for inverting the acceleration spectra for determining the stochastic model parameters involves (1) determination of the geometrical spreading factor from the entire dataset using the vertical components of the given acceleration traces (e.g., Atkinson and Mereau, 1992;Atkinson, 2004;Yenier and Atkinson, 2014), (2) determination of the source corner frequency (f c ) and the attenuation operator (t ) for each individual accelerogram component (e.g., Thatcher and Hanks, 1973;Scherbaum, 1990), (3) determination of a dataset average Q and a recordwise κ 0 from inverted t values, and (4) determination of the site amplification effects at each station from the residuals obtained in a second stage, following this initial inversion. For solving the natural logarithm of equation (1), a nonlinear least-squares fit was performed using Newton's method.…”

Section: Determination Of Stochastic Ground-motionmentioning

confidence: 99%

“…The source and attenuation parameters in the stochastic model (equation 1) often exhibit a trade-off with respect to each other (Atkinson and Mereu, 1992;Boore et al, 2010;Yenier and Atkinson, 2014). In an attempt to decouple the effects of geometric spreading and anelastic attenuation, we first determine the geometric spreading function separately and prior to our main inversion scheme.…”

Section: Apparent Geometrical Spreadingmentioning

confidence: 99%

“…The vertical-component Fourier amplitudes were used to determine the geometrical spreading function, assuming less significant site effects on the records and that they are therefore small enough to be ignored. Moreover, in seismic-hazard related studies the vertical-component spectra are often considered as a proxy for unamplified horizontal-component spectra (Lermo and Chávez-García, 1993;Atkinson and Boore, 2006;Yenier and Atkinson, 2014). In this analysis, and in addition to using the vertical traces, recordings on sites corresponding to V S30 < 180 m=s are not considered for the determination of geometrical spreading.…”

Section: Apparent Geometrical Spreadingmentioning

confidence: 99%

See 2 more Smart Citations

Development of a Response Spectral Ground‐Motion Prediction Equation (GMPE) for Seismic‐Hazard Analysis from Empirical Fourier Spectral and Duration Models

Bora¹,

Scherbaum²,

Kuehn³

et al. 2015

Bulletin of the Seismological Society of America

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Empirical ground-motion prediction equations (GMPEs) require adjustment to make them appropriate for site-specific scenarios. However, the process of making such adjustments remains a challenge. This article presents a holistic framework for the development of a response spectral GMPE that is easily adjustable to different seismological conditions and does not suffer from the practical problems associated with adjustments in the response spectral domain. The approach for developing a response spectral GMPE is unique, because it combines the predictions of empirical models for the two model components that characterize the spectral and temporal behavior of the ground motion. Essentially, as described in its initial form by Bora et al. (2014), the approach consists of an empirical model for the Fourier amplitude spectrum (FAS) and a model for the ground-motion duration. These two components are combined within the random vibration theory framework to obtain predictions of response spectral ordinates. In addition, FAS corresponding to individual acceleration records are extrapolated beyond the useable frequencies using the stochastic FAS model, obtained by inversion as described in Edwards and Fäh (2013a). To that end, a (oscillator) frequency-dependent duration model, consistent with the empirical FAS model, is also derived. This makes it possible to generate a response spectral model that is easily adjustable to different sets of seismological parameters, such as the stress parameter Δσ, quality factor Q, and kappa κ 0 . The dataset used in Bora et al. (2014), a subset of the RESORCE-2012 database, is considered for the present analysis. Based upon the range of the predictor variables in the selected dataset, the present response spectral GMPE should be considered applicable over the magnitude range of 4 ≤ M w ≤ 7:6 at distances ≤ 200 km.Online Material: GMPE scaling with respect to distance, moment magnitude, V S30 , stress parameter and kappa, ratios for various parameters, and median response.

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Section: Determination Of Stochastic Ground-motionmentioning

confidence: 99%

Section: Apparent Geometrical Spreadingmentioning

confidence: 99%

Section: Apparent Geometrical Spreadingmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Response Spectral Ground‐Motion Prediction Equation (GMPE) for Seismic‐Hazard Analysis from Empirical Fourier Spectral and Duration Models

Bora¹,

Scherbaum²,

Kuehn³

et al. 2015

Bulletin of the Seismological Society of America

View full text Add to dashboard Cite

show abstract

“…Other studies have examined the nature of high-frequency ground motions and have also determined that induced earthquakes have systematically lower stress parameters than natural earthquakes. This has been attributed this to a "focal depth effect", in which the stress parameter scales with focal depth, and will inherently be lower for shallower events (Yenier and Atkinson, 2014;Novakovic and Atkinson, 2015;Yenier et al, 2017).…”

Section: Ground Motions From Induced Earthquakesmentioning

confidence: 99%

A Comparison of Ground‐Motion Characteristics from Induced Seismic Events in Alberta with Those in Oklahoma

Kaski

Atkinson

2017

Seismological Research Letters

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Ground motions from potentially-induced seismic events in Alberta of magnitude (M) > 3, recorded within 100 km, are empirically characterized in terms of their response spectral shapes and amplitudes. Ground motions are compared statistically to those from induced events in Oklahoma, as well as to three benchmark ground motion prediction equations (GMPEs), derived from natural events. Discrepancies between Alberta and Oklahoma events appear to be magnitude-dependent, and distance-independent. For events greater than M~4, the ground motions appear equivalent in the two regions. Highfrequency motions from M < 3.5 events in Alberta are weaker than those of natural events, even those at shallow focal depths. For larger magnitudes, the residuals between the Alberta motions and benchmark GMPEs suggest that observations are in reasonable accord with the models. These results provide a further understanding of ground motions from induced events in Alberta.

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“…Recently, Kale et al (2015) showed the existence of distance and magnitude dependent differences between the Iranian and Turkish shallow active crustal ground-motion amplitudes. Yenier and Atkinson (2014) found evidence on the regional dependence of large magnitude earthquakes in New Zealand and western North America. Almost all NGA-West2 GMPEs consider regional differences in their ground-motion estimates (Gregor et al 2014).…”

Section: Introductionmentioning

confidence: 98%

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Akkar

Kale

2015

Perspectives on European Earthquake Engineering and Seismology

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This paper summarizes the evolution of major strong-motion databases and ground-motion prediction equations (GMPEs) for shallow active crustal regions (SACRs) in Europe and surrounding regions. It concludes with some case studies to show the sensitivity of hazard results at different seismicity levels and exceedance rates for local (developed from country-specific databases) and global (based on databases of multiple countries) GMPEs of the same region. The case studies are enriched by considering other global GMPEs of SACRs that are recently developed in the USA. The hazard estimates computed from local and global GMPEs from the broader Europe as well as those obtained from global GMPEs developed in the US differ. These differences are generally significant and their variation depends on the annual exceedance rate and seismicity. Current efforts to improve the accelerometric data archives in the broader Europe as well as more refined GMPEs that will be developed from these databases would help the researchers to understand the above mentioned differences in seismic hazard.

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Equivalent Point-Source Modeling of Moderate-to-Large Magnitude Earthquakes and Associated Ground-Motion Saturation Effects

Cited by 65 publications

References 53 publications

Development of a Response Spectral Ground‐Motion Prediction Equation (GMPE) for Seismic‐Hazard Analysis from Empirical Fourier Spectral and Duration Models

Development of a Response Spectral Ground‐Motion Prediction Equation (GMPE) for Seismic‐Hazard Analysis from Empirical Fourier Spectral and Duration Models

A Comparison of Ground‐Motion Characteristics from Induced Seismic Events in Alberta with Those in Oklahoma

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

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