Comparison of Synthetic Pseudoabsolute Response Spectral Acceleration (PSA) for Four Crustal Regions within Central and Eastern North America (CENA)

Dreiling, Jennifer; Isken, Marius; Mooney, Walter D.

doi:10.1785/0120160121

Cited by 11 publications

(46 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S5). As for the Q factor model, we assume frequency-independent Q with a quality of 1500 in the basement and 1000 in the sedimentary material, representative values derived from numerous studies for the central North American region (Dreiling et al, 2016). Because the numerical model does not solve for SH waves, Love waves are not calculated in the model.…”

Section: Methodsmentioning

confidence: 99%

Relocated Hypocenters and Structural Analysis from Waveform Modeling of Aftershocks from the 2011 Prague, Oklahoma, Earthquake Sequence

Isken

Mooney

2017

Bulletin of the Seismological Society of America

Self Cite

View full text Add to dashboard Cite

We present an analysis of aftershocks with M L > 3 from the 2011 Prague, Oklahoma, earthquake sequence, an intraplate sequence of moderate-size earthquakes within the North American craton. We apply waveform analysis to seismograms from temporary local seismograph networks to relocate the aftershocks' hypocenters. The relocations show that the hypocenters are confined to the Precambrian basement. The character of the recorded seismograms waveforms are reconstructed by finite-difference forward modeling of seismic sources buried at different depths in 2D crustal models. The numerical modeling indicates that the observed complex waveforms, and particularly the coda, are created by waves scattering off numerous shallow crustal velocity anomalies. We infer that these anomalies correspond to paleoriver channels that are embedded in the Pennsylvanian limestone formation. The modeling indicates that the amount of energy within the coda depends on the depth of the source. Our waveform modeling of the observed seismograms is consistent with our relocations of the aftershocks to depths of 5-10 km, within the Precambrian basement.

show abstract

Section: Methodsmentioning

confidence: 99%

Relocated Hypocenters and Structural Analysis from Waveform Modeling of Aftershocks from the 2011 Prague, Oklahoma, Earthquake Sequence

Isken

Mooney

2017

Bulletin of the Seismological Society of America

Self Cite

View full text Add to dashboard Cite

show abstract

“…Cramer (2017) noted that the Chapman and Conn (2016) Gulf Coast region encompasses a larger mid-continental area than the Cramer (2017) region, which possibly explains the difference in Q ( f ) between those models. The Chapman and Conn (2016) Gulf Coast region is similar to the Dreiling et al (2014) regionalization, so that explanation does not apply to the differences observed from my model. The differences at high frequencies may be attributed to a combination of the ground motion database used and the site response adjustment applied to the data in the analysis.…”

Section: Discussionmentioning

confidence: 68%

“…Figure 10 compares five models developed for various named regions (Table 2) with the Appalachian Province region model from this study. Three of these models (Atkinson and Boore, 1995, 2014; Boatwright and Seekins, 2011) are for what I call northeastern North America and were used in the CNA region comparison (Figure 9) but are relevant to this comparison as well because the Dreiling et al (2014) Appalachian region extends to the north past Maine and includes Nova Scotia (Figure 1). The Shi et al (1996) and Erickson et al (2004) models are also developed for regions corresponding to the Dreiling et al (2014) Appalachian Province.…”

Section: Discussionmentioning

confidence: 99%

“…Three of these models (Atkinson and Boore, 1995, 2014; Boatwright and Seekins, 2011) are for what I call northeastern North America and were used in the CNA region comparison (Figure 9) but are relevant to this comparison as well because the Dreiling et al (2014) Appalachian region extends to the north past Maine and includes Nova Scotia (Figure 1). The Shi et al (1996) and Erickson et al (2004) models are also developed for regions corresponding to the Dreiling et al (2014) Appalachian Province. The current model ( Q 0 = 451 ± 40 , η = 0 . 548 ± 0 . 051 ) has steeper slope than each of these five models and lower Q 0 than four of them.…”

Section: Discussionmentioning

confidence: 99%

“…Table 3 lists the earthquakes analyzed that have data in multiple Dreiling et al (2014) regions, along with the Q 0 and η estimates for each. This comparison allows for testing the boundaries by identifying different apparent Q ( f ) in multiple regions from the same earthquake.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Regional attenuation models in Central and Eastern North America using the NGA-East database

Bayless

2021

Earthquake Spectra

View full text Add to dashboard Cite

The anelastic attenuation term found in ground motion prediction equations (GMPEs) represents the distance dependence of the effect of intrinsic and scattering attenuation on the wavefield as it propagates through the crust and contains the frequency-dependent quality factor, [Formula: see text], which is an inverse measure of the effective anelastic attenuation. In this work, regional estimates of [Formula: see text] in Central and Eastern North America (CENA) are developed using the NGA-East regionalization. The technique employed uses smoothed Fourier amplitude spectrum (FAS) data from well-recorded events in CENA as collected and processed by NGA-East. Regional [Formula: see text] is estimated using an assumption of average geometrical spreading applicable to the distance ranges considered. Corrections for the radiation pattern effect and for site response based on [Formula: see text] result in a small but statistically significant improvement to the residual analysis. Apparent [Formula: see text] estimates from multiple events are combined within each region to develop the regional models. Models are provided for three NGA-East regions: the Gulf Coast, Central North America, and the Appalachian Province. Consideration of the model uncertainties suggests that the latter two regions could be combined. There were not sufficient data to adequately constrain the model in the Atlantic Coastal Plain region. Tectonically stable regions are usually described by higher [Formula: see text] and weaker frequency dependence ([Formula: see text]), while active regions are typically characterized by lower [Formula: see text] and stronger frequency dependence, and the results are consistent with these expectations. Significantly different regional [Formula: see text] is found for events with data recorded in multiple regions, which supports the NGA-East regionalization. An inspection of two well-recorded events with data both in the Mississippi embayment and in southern Texas indicates that the Gulf Coast regionalization by Cramer in 2017 may be an improvement to that of NGA-East for anelastic attenuation. The [Formula: see text] models developed serve as epistemic uncertainty alternatives in CENA based on a literature review and a comparison with previously published models.

show abstract

Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques

Meenakshi,

Sreenath,

STG

2023

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

One of the main objectives in engineering seismology or in seismic hazard studies is to estimate the possible ground motion for a given earthquake scenario. In the sparse data regions mostly the ground motion models (GMM) are developed using either seismological models or hybrid empirical approaches. However, if these GMMs do not accommodate the regional seismological attributes, a large uncertainty in ground motion estimates is possible. To overcome this concern, scaling 5% damped Pseudo Spectral Acceleration (PSA) from Fourier amplitude spectra (FAS) proves to be physically consistent as it can capture both spatial and temporal characteristics of the ground motion. Hence, the present study aims to develop a GMM for PSA using FAS and significant duration as the predictor variables. However, since there are few GMMs available for FAS, the current study also aims to develop a GMM for FAS using the earthquake parameters as the predictor variables for intraplate regions. This article employs an Artificial Neural Network (ANN) to develop both GMMs using the Next Generation Attenuation (NGA)‐East database for both horizontal (Effective Amplitude spectra for FAS and RotD50 component for PSA) and vertical components. To verify the performance of the developed models, the residuals analysis and parametric studies have been performed. The parametric study shows that the GMMs can capture the magnitude and distance scaling consistent with the observations. Further, the PSA GMM compared with the global GMMs and it is observed that the predictions lie well within the median of all the available models, proving the models’ effectiveness in estimating the ground motion predictions for future data. The developed model can be used only within the considered ranges of the predicted variables such as rupture distances between [19.05–1000] km, the Mw ranges from [3.12–5.74] with Vs30 in the range of [209–2000] m/s.

show abstract

Comparison of Synthetic Pseudoabsolute Response Spectral Acceleration (PSA) for Four Crustal Regions within Central and Eastern North America (CENA)

Cited by 11 publications

References 15 publications

Relocated Hypocenters and Structural Analysis from Waveform Modeling of Aftershocks from the 2011 Prague, Oklahoma, Earthquake Sequence

Relocated Hypocenters and Structural Analysis from Waveform Modeling of Aftershocks from the 2011 Prague, Oklahoma, Earthquake Sequence

Regional attenuation models in Central and Eastern North America using the NGA-East database

Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques

Contact Info

Product

Resources

About