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Predicting Near-Field Strong Ground Motion of the Huaxian Ms8.5 Earthquake Based on Uncertainty Factors of Asperities

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Abstract

The Weihe Plain is at high risk of disastrous earthquakes, such as the Huaxian Ms8.5 earthquake, which caused enormous casualties and economic losses. Therefore, reproducing the strong ground motion characteristics of the Huaxian earthquake is important for seismic design and disaster mitigation. The empirical Green’s function method is used to predict the ground motion characteristics of the Huaxian Ms8.5 earthquake by considering the uncertainty factors of asperities, considering the limited observations in the Weihe Plain and the inaccessibility of the Earth’s interior. The uncertainty asperity factors can be studied by the logic tree method, and source models considering these factors are constructed here. The uncertainty factors include the seismic moment M0, number of subfaults N, stress drop of an asperity Δσ, and asperity area Sa. The asperity area is assigned values of 19%, 22%, and 25% of the fault rupture area; the M0 values of the corresponding asperities account for 40%, 44%, and 48% of the entire M0; and there are two to four asperities. The permutations are combined into multiple-asperity source models. The two-asperity source models reflect the Huaxian earthquake characteristics better than the three- or four-asperity models. The asperity area accounts for approximately 22–25% of the fault rupture area, while the M0 of the corresponding asperities accounts for 44% and 48% of the entire M0. The long-axis direction of the ground motion distribution is the same as that of the mountains southeast of the Weihe Plain. The azimuth angle of the elliptical long axis is approximately 40–60° northeast. The greater the magnitude is, the more complex the number, location, and area of the asperities. This research extends the application of the empirical Green’s function method and can numerically simulate seismic intensity characteristics in areas with destructive earthquakes but few seismic records.

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References

  • Brune, J. N. (1970). Tectonic stress and the spectra of seismic shear waves from earthquakes. Journal of Geophysical Rsearch, 75(26), 4997–5009.

    Article  Google Scholar 

  • Boore, D. M., Stewart, J. P., Seyhan, E., et al. (2014). NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthquake Spectra, 30(3), 1057–1085.

    Article  Google Scholar 

  • Chen, K., Yu, Y., Li, Z., Wang, Y., & Feng, X. (2019). ShakeMap modelling for the 1568 Shaanxi Gaoling Earthquake, China. International Journal of Disaster Risk Reduction, 44, 101416. https://doi.org/10.1016/j.ijdrr.2019.101416

    Article  Google Scholar 

  • Dalguer, L. A., Miyake, H., & Irikura, K. (2004). Characterization of dynamic asperity source models for simulating strong ground motion. In Proceedings of the 13th World Conference on Earthquake Engineering 3286

  • Dan, K., Watanabe, T., & Tanaka, T. (1989). A semi-empirical method to synthesize earthquake ground motions based on approximate far-field shear-wave displacement. Journal of Structural and Construction Engineering (Transactions of AIJ), 396, 27–36.

    Article  Google Scholar 

  • Fu. L., & Li, X.-J. (2017). The kappa (κ0) model of the Longmenshan region and its application to simulation of strong ground-motion by the Wenchuan MS8.0 earthquake. Chinese Journal of Geophysics, 60(8), 2935–2947. https://doi.org/10.6038/cjg20170803.

    Article  Google Scholar 

  • Geller, R. J. (1976). Scaling relations for earthquake source parameters and magnitudes. Bulletin of the Seismological Society of America, 66(5), 1501–1523.

    Google Scholar 

  • Guo, Z., & Ma, Z. (1988). China Earthquake Research. Seismological Press

  • GB+18306–2015, Seismic ground motion parameters zonation map of China.

  • Hanks, T. C., & Kanamori, H. (1979). A moment magnitude scale. Journal of Geophysical Research B, 84(B5), 2348–2350.

    Article  Google Scholar 

  • Hartzell, S. H. (1978). Earthquake aftershocks as Green’s functions. Geophysical Research Letters, 5(1), 1–4.

    Article  Google Scholar 

  • He, Z., & Ding, Z. (2001). Surface wave tomography of the crust and upper mantle of Chinese mainland. Acta Seismologica Sinica, 6, 596–603.

    Google Scholar 

  • Irikura, K. (1983). Semi-empirical estimation of strong ground motion during large earthquake. Bulletin of the Disaster Prevention Research Institute, 33, 63–104.

    Google Scholar 

  • Irikura, K. (1986). Prediction of strong acceleration motion using empirical Green’s function. In Proc. 7th Japan Earthquake Engineering Symposium, pp. 151–156.

  • Jianbing, P., Jun, Z., & Shengrui, S. (1992). Active faults in Weihe Basin and the geological disaster. Xi’an: Northwest University Press.

    Google Scholar 

  • Kanamori, H. (1979). A semi-empirical approach to prediction of long-period ground motions from great earthquake. Bulletin of the Seismological Society of America, 69(6), 1654–1670.

    Article  Google Scholar 

  • Kanamori, H., & Anderson, D. L. (1975). Theoretical basis of some empirical relations in seismology. Bulletin of the Seismological Society of America, 65, 1073–1095.

    Google Scholar 

  • Li, Z., Chen, X., Gao, M., et al. (2017). Simulating and analyzing engineering parameters of Kyushu Earthquake, Japan, 1997, by empirical Green function method. Journal of Seismology, 21(2), 367–384.

    Article  Google Scholar 

  • Li, Z., Gao, M., Jiang, H., Chen, X., Li, T., & Zhao, X. (2018). Sensitivity analysis study of the source parameter uncertainty factors for predicting near-field strong ground motion. Acta Geophysica, 66, 1–18.

    Article  Google Scholar 

  • Ma, J. (2019). In 1556, the earthquake surface rupture and seismic structure of the Ms81/4 magnitude earthquake in Huaxian County in 1556. Institute of Geology, China Earthquake Administration.

    Google Scholar 

  • Ma, J., Feng, X. J., Li, G. Y., Li, X. N., & Zhang, Y. (2016). The coseismic vertical displacements of surface rupture zone of the 1556 Huaxian earthquake. Seismology and Geology, 38(1), 22–30. (in Chinese with English abstract).

    Google Scholar 

  • Maoxing, Z., & Xinshun, Li. (1999). The seismic fracture and a way to deal with civil engineering in Weinan urban Shaanxi. Geology Shaanxi, 1, 48–52. (in chinese).

    Google Scholar 

  • Miyake, H., Iwata, T., & Irikura, K. (2003). Source characterization for broadband ground-motion simulation: kinematic heterogeneous source model and strong motion generation area. Bulletin of the Seismological Society of America, 93(6), 2531–2545.

    Article  Google Scholar 

  • Qi-Yuan, L., Yu, L., Jiu-Hui, C., et al. (2009). Wenchuan MS8.0 earthquake: preliminary study of the S-wave velocity structure of the crust and upper mantle. Chinese Journal of Geophysics, 52(2), 309–319.

    Google Scholar 

  • Somerville, P., Irikura, K., Graves, R., et al. (1999). Characterizing crustal earthquake slip models for the prediction of strong ground motion. Seismological Research Letters, 70(1), 59–80.

    Article  Google Scholar 

  • Tinghong, Y., & Xijie, F. (2010). Huaxian Great Earthquake in 1556. Seismological Press.

    Google Scholar 

  • Wald, D. J., Helmberger, D. V., & Heaton, T. H. (1991). Rupture model of the 1989 Loma Prieta earthquake from the inversion of strong-motion and broadband teleseismic data. Bulletin of the Seismological Society of America, 81(5), 1540–1572.

    Article  Google Scholar 

  • Wang, H., & Mooney, W. D. (2014). Seismic intensities for the April 20’2013’Mw 66 Lushan earthquake and a comparison with North America. Earthquake Engineering and Engineering Dynamics, 34(S1), 108–117.

    Google Scholar 

  • Wang, Z., Peipei, P., et al. (2017). Statistical analysis for the high frequency decay parameters of horizontal ground motions in Wenchuan earthquake. Earthquake Engineerig and Engineering Vibration, 37(02), 10–15.

    Google Scholar 

  • Weidong, W., Yongzhi, Z., & Fang, W. (2007). The background of depth Earth medium of big earthquake with Ms8.5 in Hua County. Inland Earthquake, 21(1), 14–18. (in chinese).

    Google Scholar 

  • Xie, H., Ma, H., Jiao, M., et al. (2017). The inversion of S-wave velocity structure in Ningxia and its adjacent area using background noise imaging technology. Seismology and Geology, 39(03), 605–622.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the National Key R&D Program of China (Grant 2018YFC1504501) and the special fund of the Institute of Geophysics, China Earthquake Administration (Grant Numbers: DQJB17T04; DQJB19A0131; DQJB19A0133). Acceleration time history used in this study were provided by the China Strong Motion Network Center (CSMNC) at the Institute of Engineering Mechanics, China Earthquake Administration.

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Correspondence to Zongchao Li.

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Li, Z., Chen, X., Chen, K. et al. Predicting Near-Field Strong Ground Motion of the Huaxian Ms8.5 Earthquake Based on Uncertainty Factors of Asperities. Pure Appl. Geophys. 178, 889–906 (2021). https://doi.org/10.1007/s00024-021-02682-6

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