Ground‐Motion Prediction Equations for Shallow Crustal and Upper‐Mantle Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions

Zhao, John X.; Zhou, Shu; Zhou, Jun; Zhao, Chen; Zhang, Heng; Zhang, Yingbin; Gao, Pingjun; Lan, Xiaowen; Rhoades, David A.; Fukushima, Yoshimitsu; Somerville, Paul; Irikura, Kojiro

doi:10.1785/0120150063

Cited by 79 publications

(51 citation statements)

References 28 publications

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“…3.3). The lowest overall bias (less than ±0.1, equivalent to ±10%) are for the models of Akkar et al (2014b, c), Abrahamson et al (2014), Bindi et al (2014a, b) and Zhao et al (2016). All models show an overall bias less than ±20%.…”

Section: Comparisons To Gmpesmentioning

confidence: 80%

“…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: 88%

“…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. Zhao et al (2016) shows slight underprediction for M [ 7.6, again a range for which it is lacking data. We checked to see whether there are trends in the between-event residual with respect to the number of PGAs from each event that are available (see Fig.…”

Section: Magnitude Scalingmentioning

confidence: 99%

“…The observations are compared to predictions from eight recent GMPEs that are not excluded by the criteria of Bommer et al (2010): Abrahamson et al (2014), Akkar et al (2014b, c), Bindi et al (2014a, b), Boore et al (2014), Campbell and Bozorgnia (2014), Cauzzi et al (2015), Chiou and Youngs (2014) and Zhao et al (2016). Only ground-motion models for shallow crustal earthquakes in active tectonic regimes are considered as almost all identified records come from such regions (as opposed to stable areas).…”

Section: Comparisons To Gmpesmentioning

confidence: 99%

“…Two of the models (Akkar et al 2014b, c;Bindi et al 2014a, b) used data from Europe, the Mediterranean and the Middle East, for which the database is particularly sparse for large events. The final two models (Cauzzi et al 2015;Zhao et al 2016) are derived principally from Japanese data, where again the database of strongmotion data for large crustal events is limited. Nevertheless, the GMPE of Zhao et al (2016) accounts for the findings of Zhao and Lu (2011), based on a worldwide database of 710 records, that magnitude-scaling of M7?…”

Section: Comparisons To Gmpesmentioning

confidence: 99%

See 4 more Smart Citations

Peak ground accelerations from large (M ≥ 7.2) shallow crustal earthquakes: a comparison with predictions from eight recent ground-motion models

Douglas

2017

Bull Earthquake Eng

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Strong-motion data from large (M C 7.2) shallow crustal earthquakes invariably make up a small proportion of the records used to develop empirical ground motion prediction equations (GMPEs). Consequently GMPEs are more poorly constrained for large earthquakes than for small events. In this article peak ground accelerations (PGAs) observed in 38 earthquakes worldwide with M C 7.2 are compared with those predicted by eight recent GMPEs. Well over half of the 38 earthquakes were not considered when deriving these GMPEs but the data were identified by a thorough literature review of strong-motion reports from the past 60 years. These data are provided in an electronic supplement for future investigations on ground motions from large earthquakes. The addition of these data provides better constraint of the between-event ground-motion variability in large earthquakes. It is found that the eight models generally provide good predictions for PGAs from these earthquakes, although there is evidence for slight underor over-prediction of motions by some models (particularly for M [ 7.6). The betweenevent variabilities predicted by most models match the observed variability, if data from two events (2001 Bhuj and 2005 Crescent City) that are likely atypical of earthquakes in active regions are excluded. For some GMPEs there is evidence that they are over-predicting PGAs in the near-source region of large earthquakes as well as over-predicting motions on hard rock. Overall, however, all the considered models, despite having been derived using limited data, provide reliable predictions of PGAs in the largest crustal earthquakes.Electronic supplementary material The online version of this article

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Section: Comparisons To Gmpesmentioning

confidence: 80%

Section: Comparisons To Gmpesmentioning

confidence: 88%

Section: Magnitude Scalingmentioning

confidence: 99%

Section: Comparisons To Gmpesmentioning

confidence: 99%

Section: Comparisons To Gmpesmentioning

confidence: 99%

See 3 more Smart Citations

Peak ground accelerations from large (M ≥ 7.2) shallow crustal earthquakes: a comparison with predictions from eight recent ground-motion models

Douglas

2017

Bull Earthquake Eng

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Regional variation of spectral parameters for seismic design from broadband probabilistic seismic hazard analysis

Weatherill

Danciu²

2018

Earthq Engng Struct Dyn

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SummaryThe characterisation of the seismic hazard input is a critical element of any seismic design code, not only in terms of the absolute levels of ground motion considered but also of the shape of the design spectrum. In the case of Europe, future revisions of the seismic design provisions, both at a national and a pan‐European level, may implement considerable modifications to the existing provisions in light of recent seismic hazard models, such as the 2013 European Seismic Hazard Model. Constraint of the shape of the long‐period design spectrum from seismic hazard estimates on such a scale has not been possible, however, owing to the limited spectral period range of existing ground motion models. Building upon recent developments in ground motion modelling, the 2013 European Seismic Hazard Model is adapted here with a new ground motion logic tree to provide a broadband Probabilistic Seismic Hazard Analysis for rock sites across a spectral period range from 0.05 seconds to 10.0 seconds. The resulting uniform hazard spectra (UHS) are compared against existing results for European and broadband Probabilistic Seismic Hazard Analysis and against a proposed formulation of a generalised design spectrum in which controlling parameters can be optimised to best fit the uniform hazard spectra in order to demonstrate their variability on a European scale. Significant variations in the controlling parameters of the design spectrum are seen both across and within stable and active regions. These trends can help guide recalibrations of the code spectra in future revisions to seismic design codes, particularly for the longer‐period displacement spectrum.

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Basin effect quantitation of four deep basins in Japan to explain the gap between empirical and numerical basin‐depth effect models

Xie

2022

Earthq Engng Struct Dyn

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To incorporate basin effects into seismic hazard assessment of urban areas and infrastructure, basin-depth effect models that are the dependence of basin amplification factor on basin depth have been derived via numerical and empirical approaches. However, commonly observed quantitative and qualitative differences between numerical and empirical models remain unresolved. In particular, empirical models tend to predict smaller basin amplification factors. In this study, a modified empirical approach from Choi et al. was applied to the derivation of basin-depth effect models for four deep basins in Japan using a database consisting of 71 M J > 6 (M w > 5.7) earthquakes and 13,562 records from strong-motion seismograph networks (K-NET and KiK-net). The obtained basin-depth models vary among basins and crustal-subduction earthquake pairs, which confirms the recent trend of accounting for regional-seismotectonic basin amplification in seismic hazard analysis. The basin amplification observed for crustal earthquakes is generally larger than that for subduction earthquakes.Moreover, the differences between the numerical and empirical models can be explained by changing the options of basin or outside-basin stations for computing the inter-event residuals. These results bridge a knowledge gap in seismic hazard analysis between ground-motion prediction equations and those using large-scale seismic wave simulations, which are now the main tools for regions lacking seismic records.

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Ground‐Motion Prediction Equations for Shallow Crustal and Upper‐Mantle Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions

Cited by 79 publications

References 28 publications

Peak ground accelerations from large (M ≥ 7.2) shallow crustal earthquakes: a comparison with predictions from eight recent ground-motion models

Peak ground accelerations from large (M ≥ 7.2) shallow crustal earthquakes: a comparison with predictions from eight recent ground-motion models

Regional variation of spectral parameters for seismic design from broadband probabilistic seismic hazard analysis

Basin effect quantitation of four deep basins in Japan to explain the gap between empirical and numerical basin‐depth effect models

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