Journal of the Earthquake Engineering Society of Korea (한국지진공학회논문집)

Earthquake Engineering Society of Korea (한국지진공학회)
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Strong Ground Motion Simulation at Seismic Stations of Metropolises in South Korea by Scenario Earthquake on the Causative Fault of the 2016 Gyeongju Earthquake

2016년 경주지진 유발단층 시나리오 지진에 의한 국내 광역 도시 지진관측소에서의 강진동 모사

  • Choi, Hoseon (Department of Nuclear Safety Research, Korea Institute of Nuclear Safety)
  • 최호선 (한국원자력안전기술원 원자력안전연구실)
  • Received : 2019.10.01
  • Accepted : 2020.01.02
  • Published : 2020.03.01
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Abstract

The empirical Green's function method is applied to the foreshock and the mainshock of the 2016 Gyeongju earthquake to simulate strong ground motions of the mainshock and scenario earthquake at seismic stations of seven metropolises in South Korea, respectively. To identify the applicability of the method in advance, the mainshock is simulated, assuming the foreshock as the empirical Green's function. As a result of the simulation, the overall shape, the amplitude of PGA, and the duration and response spectra of the simulated seismic waveforms are similar with those of the observed seismic waveforms. Based on this result, a scenario earthquake on the causative fault of Gyeongju earthquake with a moment magnitude 6.5 is simulated, assuming that the mainshock serves as the empirical Green's function. As a result, the amplitude of PGA and the duration of simulated seismic waveforms are significantly increased and extended, and the spectral amplitude of the low frequency band is relatively increased compared with that of the high frequency band. If the empirical Green's function method is applied to several recent well-recorded moderate earthquakes, the simulated seismic waveforms can be used as not only input data for developing ground motion prediction equations, but also input data for creating the design response spectra of major facilities in South Korea.

Keywords

References

  1. Son M, Cho CS, Shin JS, Rhee HM, Sheen DH. Spatiotemporal distribution of events during the first three months of the 2016 Gyeongju, Korea, earthquake sequence. Bulletin of the Seismological Society of America. 2018 Feb;108(1):210-217.
  2. Kim YH, Rhie J, Kang TS, Kim KH, Kim M, Lee SJ. The 12 September 2016 Gyeongju earthquakes: 1. Observation and remaining questions. Geosciences Journal. 2016 Dec;20(6):747-752. https://doi.org/10.1007/s12303-016-0033-x
  3. Park DH, Lee JM, Baag CE, Kim JK. Stochastic prediction of strong ground motion and attenuation equations in the southeastern Korean Peninsula. Journal of the Geological Society of Korea. 2001 Mar;37(1):21-30.
  4. Jo ND, Baag CE. Stochastic prediction of strong ground motions in southern Korea. Journal of the Earthquake Engineering Society of Korea. 2001 Aug;5(4):17-26.
  5. Junn JG, Jo ND, Baag CE. Stochastic prediction of strong ground motions in southern Korea. Geosciences Journal. 2002 Sep;6(3):203-214. https://doi.org/10.1007/BF02912691
  6. Jo ND, Baag CE. Estimation of spectrum decay parameter ${\kappa}$ and stochastic prediction of strong ground motions in southeastern Korea. Journal of the Earthquake Engineering Society of Korea. 2003 Dec;7(6):59-70. https://doi.org/10.5000/EESK.2003.7.6.059
  7. Hartzell SH. Earthquake aftershocks as Green's functions. Geophysical Research Letters. 1978 Jan;5(1):1-4. https://doi.org/10.1029/GL005i001p00001
  8. Joyner WB, Boore DM. Earthquake Source Mechanics 37: Maurice Ewing 6. 1986 Jan;269-274.
  9. Irikura K, Kamae K. Estimation of strong ground motion in broad-frequency band based on a seismic source scaling model and an empirical Green’s function technique. Annals of Geophysics. 1994 Dec;37(6):1721-1743.
  10. Miyake H, Iwata T, Irikura K. Source characterization for broadband ground-motion simulation: Kinematic heterogeneous source model and strong motion generation area. Bulletin of the Seismological Society of America. 2003 Dec;93(6):2531-2545. https://doi.org/10.1785/0120020183
  11. Yoo SH, Rhie J, Choi H, Mayeda K. Evidence for non-self-similarity and transitional increment of scaled energy in the 2005 west off Fukuoka seismic sequence. Journal of Geophysical Research. 2010 Aug;115:B08308. https://doi.org/10.1029/2009jb007169
  12. Houng SE, Park DH, Kim HS, Han A. Ground motion simulation using empirical Green's function: Application to scenario earthquake on the Korean Peninsula. Proceedings of the Earthquake Engineering Society of Korea Conference. 2018 Mar;22:11-12.
  13. Carrillo J, Rubiano A, Delgado A. Evaluation of Green’s function when simulating earthquake records for dynamic tests. Ingeniera E Investigacion. 2013 Dec;33(3):28-33.
  14. Han SM, Park EH, Hahm IK, Park SC, Jeon YS, Jo EY, Lee CW. Analysis report of site environment at permanent seismic stations operated by Korea Meteorological Administration. National Institute of Meterological Research. 2014 Aug;NIMR-TN-2014-007.
  15. Uchide T. Song SG. Fault rupture model of the 2016 Gyeongju, South Korea, earthquake and its implication for the underground fault system. Geophysical Research Letters. 2018 Feb;45(5):2257-2264. https://doi.org/10.1002/2017GL076960
  16. Emolo A, Sharma N, Festa G, Zollo A, Convertito V, Park JH, Chi HC, Lim IS. Ground-motion prediction equations for South Korea Peninsula. Bulletin of the Seismological Society of America. 2015 Sep;105(5):2625-2640. https://doi.org/10.1785/0120140296
  17. Sheen DH, Kang TS, Rhie J. A local magnitude scale for South Korea. Bulletin of the Seismological Society of America. 2018 Oct;108(5A):2748-2755. https://doi.org/10.1785/0120180112