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Ground motion prediction equation for the vertical component of 5%-damped spectral acceleration (0.01–10 s) in western China

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Abstract

A ground motion prediction equation (GMPE) that can predict the vertical 5%-damped spectral acceleration (SA) in western China was formulated. To this end, a dataset that included the strong motion recordings of this region was constructed. Explanatory variables for the GMPE were identified, and a full set of final model coefficients was obtained using the random-effects method. We compared the results of this study with those of previously published work and the data of the 2019 Changning Ms 6.0 earthquake. The results indicate that the vertical SA depends on not only magnitude and distance but also the type of the faulting and linear site response. The nonlinear site response and depth to the top of rupture (Ztor) have slight effect on the vertical SA. The residual distribution, which exhibited no obvious relationship with the explanatory variables or the agreement between the predicted and observed vertical SA of the 2019 Changning Ms 6.0 earthquake, suggested good ability for vertical SA prediction in western China. Finally, the vertical-to-horizontal (V/H) ratio is affected by the magnitude, distance, and type of faulting, and near-source V/H ratio curves with respect to period at soil sites and rock sites for large earthquakes exhibit single-peak and double-peak characteristics, respectively.

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Data availability

The datasets generated and analyses in the current study are available from China Strong Motion Network Center at Institute of Engineering Mechanics, China Earthquake Administration (csmnc@iem.ac.cn), and in the Pacific Earthquake Engineering Research Center (PEER) (http://peer.berkeley.edu/ngawest2/databases/).

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Acknowledgements

We thank the Editor and anonymous reviewers. Thanks for China Strong Motion Network Center at Institute of Engineering Mechanics, China Earthquake Administration (csmnc@iem.ac.cn), and the Pacific Earthquake Engineering Research Center (PEER) (http://peer.berkeley.edu/ngawest2/databases/) to provide data for this study.

Funding

This study was supported by Scientific Research Fund of Institute of Engineering Mechanics, China Earthquake Administration (grant no. 2020D13 and 2018D11), Joint research program of Jiangsu Huajian Construction Co., LTD and Yangzhou University (grant no. 2021–01), Science and Technology Program of Yangzhou (grant no. YZ2019138).

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Authors and Affiliations

  1. College of Architectural Science and Engineering, Yangzhou University, Yangzhou, 225127, China

    Zhi-Jun Jiang, Lei Zhang, Xing-Yu Song & Feng Zhang

  2. Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin, 150080, China

    Zhi-Jun Jiang & Lei Zhang

  3. Jiangsu Huajian Construction Co., LTD, Yangzhou, 225002, China

    Zhi-Jun Jiang & Lei Zhang

Authors
  1. Zhi-Jun Jiang
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  2. Lei Zhang
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  4. Feng Zhang
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Contributions

Zhi-Jun Jiang and Lei Zhang estimated the parameters of GMPE and compared the parameters with previous studies. Xing-Yu Song compared the SAs of Changning earthquake with current model. Feng Zhang collected and processed the strong motion recordings. All the authors contributed equally in writing the manuscript. All authors reviewed the manuscript.

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Correspondence to Lei Zhang.

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Highlights

• The style of the fault and linear site response has an obvious impact the vertical SA in western China.

• The V/H ratio in western China was affected by the magnitude, distance, and style of the fault.

• The near-source V/H curves with period at soil and rock sites for large earthquakes show different characteristic.

Appendix

Appendix

Table

Table 4 Information of earthquakes and recordings selected in this study
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4

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Jiang, ZJ., Zhang, L., Song, XY. et al. Ground motion prediction equation for the vertical component of 5%-damped spectral acceleration (0.01–10 s) in western China. J Seismol 26, 1267–1293 (2022). https://doi.org/10.1007/s10950-022-10118-4

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