본문 바로가기
KERD
논문KCI 등재

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

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

0

조회

0

다운로드

3

인용

0

참고문헌

키워드

주제분류토목공학

초록

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.

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.

참고문헌 (17)

  1. Son M, "Spatiotemporal distribution of events during the first three months of the 2016Gyeongju, Korea, earthquake sequence", Bulletin of the Seismological Society of America, 108(1), pp.210~217 (2018)
  2. 김영희, "The 12 September 2016 Gyeongju earthquakes: 1. Observation and remaining questions", Geosciences Journal, 20(6), pp.747~752 (2016), 한국지질과학협의회[DOI]
  3. Park DH, "Stochastic prediction of strong ground motion and attenuation equations in the southeastern Korean Peninsula", Journal of the Geological Society of Korea, 37(1), pp.21~30 (2001)
  4. Jo ND, "Stochastic prediction of strong ground motions in southern Korea", Journal of the Earthquake Engineering Society of Korea, 5(4), pp.17~26 (2001)
  5. Jung-Goo Junn, "Stochastic prediction of ground motions in southern Korea", Geosciences Journal, 6(3), pp.203~214 (2002), 한국지질과학협의회
  6. 조남대, "한반도 남동부에서 부지효과를 고려한 스펙트럼 감쇠상수 추정 및 강지진동의 추계학적 모사", 한국지진공학회논문집, 7(6), pp.59~70 (2003), 한국지진공학회
  7. Hartzell SH, "Earthquake aftershocks as Green’s functions", Geophysical Research Letters, 5(1), pp.1~4 (1978)
  8. Joyner WB, "Earthquake Source Mechanics 37: Maurice Ewing 6", pp.269~274 (1986)
  9. Irikura 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, 37(6), pp.1721~1743 (1994)
  10. Miyake H, "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), pp.2531~2545 (2003)
  11. Yoo SH, "Evidence for non-self-similarity and transitional increment of scaled energy in the 2005 west off Fukuoka seismic sequence", Journal of Geophysical Research, 115, pp.B08308~ (2010)
  12. Houng SE, "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, pp.11~12 (2018)
  13. Carrillo J, "Evaluation of Green’s function when simulating earthquake records for dynamic tests", Ingeniera E Investigacion, 33(3), pp.28~33 (2013)
  14. Analysis report of site environment at permanent seismic stations operated by Korea Meteorological Administration, "Han SM", National Institute of Meterological Research, ~, pp.NIMR-TN-2014-007 (2014)
  15. Uchide T, "Fault rupture model of the 2016 Gyeongju, South Korea, earthquake and its implication for the underground fault system", Geophysical Research Letters, 45(5), pp.2257~2264 (2018)
  16. Emolo A, "Ground-motion prediction equations for South Korea Peninsula", Bulletin of the Seismological Society of America, 105(5), pp.2625~2640 (2015)
  17. Sheen DH, "A local magnitude scale for South Korea", Bulletin of the Seismological Society of America, 08(5A), pp.2748~2755 (2018)

관련 논문AI추천

이 간행물의 다른 논문 (7건)