DOI QR코드

DOI QR Code

Simulation of Ground Motions from Gyeongju Earthquake using Point Source Model

점지진원 모델을 이용한 경주 지진으로 인한 지반운동 생성

  • Received : 2015.11.17
  • Accepted : 2016.12.07
  • Published : 2016.12.30

Abstract

In low to moderate seismic regions, there are limited earthquake ground motion data recorded from past earthquakes. In this regard, the Gyeongju earthquake (M=5.8)occurred on September 12, 2016 produces valuable information on ground motions. Ground motions were recorded at various recording stations located widely in Korean peninsula. Without actual recoded ground motions, it is impossible to make a ground motion prediction model. In this study, a point source model is constructed to accurately simulate ground motions recorded at different stations located on different soil conditions during the Gyeongju earthquake. Using the model, ground motions are generated at all grid locations of Korean peninsula. Each grid size has $0.1^{\circ}(latitude){\times}0.1^{\circ}(longitude)$. Then a contour hazard map is constructed using the peak ground acceleration of the simulated ground motions.

Keywords

References

  1. Katayama T. An engineering prediction modal of acceleration response spectra and its application to seismic hazard mapping. Earthquake Engineering and Structural Dynamics. 1982:10;149-163. https://doi.org/10.1002/eqe.4290100111
  2. Eliopoulos DF, Wen YK. Method of Seimic Reliability Evaluation for Moment Resisting Steel Frames. Civil Engineering Structural Research Series No.562. UIUC. c1991.
  3. Saito T, Wen YK. Seismic Risk Evaluation of R.C. Buildings in Japan Designed in Accordance with 1990 AIJ Guidelines. Civil Engineering Structural Research Series No. 587, UIUC. c1994.
  4. Noh M, Lee K. Estimation of Peak Ground Motions in the Southeastern Part of the Korean Peninsula (I) : Estimation of Spectral Parameters. Jour. Geol. Soc. Korea. Jun. 1994;30(3);297-306.
  5. Jo N, Baag C. Stochastic Prediction of Strong Ground Motions in Southern Korea. Earthquake Engineering Society of Korea. 2001 Aug;5(4);17-26.
  6. Boore DM, Atkinson GM. Stochastic prediction of ground motion and pectral response parameters at hard-rock sites in eastern North America. Seismological Society of America. 1987;77:440-467.
  7. Milne WG, Davenport AG. Statistical parameters applied to seismic regionalization. Proc, 3rd Word Conf. Earthquake Engineering. 1965;3:181-194.
  8. Boore DM. SMSIM Fortan programs for simulating ground motions from earthquakes: version 2.0 A Revision of OFR 96-80-A. U.S. GEOLOGICAL SURVEY. c2002.
  9. Wen YK, Wu CL. Generation of Ground Motions for Mid-America Cities. Mid-America Eathquake Center. c1999.
  10. Integrated DB Center of National Geotechnical Information, [Internet]. Available from : https://www.geoinfo.or.kr/
  11. USGS. M 5.4 - 6km S of Kyonju, South Korea. [Internet]. [cited 2016 Oct 12]. Available from: http://earthquake.usgs.gov/earthquakes/eventpage/us10006p1f #executive