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Acta Seismologica Sinica

, Volume 21, Issue 2, pp 202–212 | Cite as

Seismic hazard estimation based on the distributed seismicity in northern China

  • Yong Yang (杨勇)Email author
  • Bao-ping Shi (史保平)
  • Liang Sun (孙亮)
Article

Abstract

In this paper, we have proposed an alternative seismic hazard modeling by using distributed seismicites. The distributed seismicity model does not need delineation of seismic source zones, and simplify the methodology of probabilistic seismic hazard analysis. Based on the devastating earthquake catalogue, we established three seismicity model, derived the distribution of a-value in northern China by using Gaussian smoothing function, and calculated peak ground acceleration distributions for this area with 2%, 5% and 10% probability of exceedance in a 50-year period by using three attenuation models, respectively. In general, the peak ground motion distribution patterns are consistent with current seismic hazard map of China, but in some specific seismic zones which include Shanxi Province and Shijiazhuang areas, our results indicated a little bit higher peak ground motions and zonation characters which are in agreement with seismicity distribution patterns in these areas. The hazard curves have been developed for Beijing, Tianjin, Taiyuan, Tangshan, and Ji’nan, the metropolitan cities in the northern China. The results showed that Tangshan, Taiyuan, Beijing has a higher seismic hazard than that of other cities mentioned above.

Key words

distributed seismicity Gaussian smoothed function seismic hazard estimation northern China peak ground acceleration 

CLC number

P315.9 

References

  1. Al-Tarazi E and Sandvol E. 2007. Alternative models of seismic hazard evaluation along the Jordan-Dead Sea Transform [J]. Earthquake Spectra, 23(1): 1–19.CrossRefGoogle Scholar
  2. Atkinson G M and Boore D M. 1995. Ground motion relations for eastern North America [J]. Bull Seism Soc Amer, 85(1): 17–30.Google Scholar
  3. Bommer J J, Abrahamson N A, Strasser F O, et al. 2004. The challenge of defining upper bounds on earthquake ground motions [J]. Seism Res Lett, 75(1): 82–95.CrossRefGoogle Scholar
  4. Boore D M, Joyner W B, Fumal T E. 1997. Equations for estimating horizontal response spectra and peak acceleration from western North America earthquakes: A summary of recent work [J]. Seism Res Lett, 68(1): 128–153.CrossRefGoogle Scholar
  5. Campbell K W. 2003. Prediction of strong ground motion using the hybrid empirical method and its use in the development of ground-motion (attenuation) relations in Eastern North America [J]. Bull Seism Soc Amer, 93(3): 1 012–1 033.CrossRefGoogle Scholar
  6. Cornell C A. 1968. Engineering seismic analysis [J]. Bull Seism Soc Amer, 58(5): 1 583–1 606.Google Scholar
  7. Cramer C H. 2001. The new Madrid seismic zone: Capturing variability in seismic hazard analysis [J]. Seism Res Lett, 72(6): 664–672.CrossRefGoogle Scholar
  8. Foteva G, Ilieva M, Botev E. 2006. Spatially smoothed seismicity modeling of seismic hazard in the Sofia area[DB/OL]. 71-82[2007-06-12].http://www.phys.uni-sofia.bg/annual/arch/99/full/99-09-full.pdf.
  9. Frankel A, Mueller C, Barnhard T, et al. 1996. National Seismic Hazard Maps: Documentation June 1996[R]//U. S. Geol Surv Open-File Rept 96-532]. Denver: U.S. Geol Surv: 110.Google Scholar
  10. Frankel A. 1995. Mapping seismic hazard in the Central and eastern United States [J]. Seism Res Lett, 66(4): 8–21.CrossRefGoogle Scholar
  11. Herrmann R B. 1977. Recurrence relations [J]. Earthquake Notes, 48(1/2): 47–49.Google Scholar
  12. HU Yu-xian. 2001. Seismic ground motion parameter zonation map of China (GB 18306-2001) [S]. Beijing: Standards Press of China: 90–94 (in Chinese).Google Scholar
  13. HU Yu-xian. 1988. Earthquake Engineering [M]. Beijing: Seismological Press: 453–456 (in Chinese).Google Scholar
  14. HUANG Wei-qiong, SHI Zhen-liang, CAO Xue-feng. 1990. Factors influencing the estimation of b value and the selection of b value in hazard analysis [J]. Acta Seismologica Sinica, 3(4): 421–436.Google Scholar
  15. Kramer S L. 2003. Geotechnical earthquake engineering [M]//Prentice-Hall International Series in Civil Engineering and Engineering Mechanics. Singapore: Pearson Education Inc: 135–138.Google Scholar
  16. Lapajne J K, Motnikar B S, Zabukovec B, et al. 1997. Spatially smoothed seismicity modelling of seismic hazard in Slovenia [J]. Journal of Seismology, 1: 73–85.CrossRefGoogle Scholar
  17. Lapajne J K, Motnikar B S, Zupancic P. 2003. Probabilistic seismic hazard assessment methodology for distributed seismicity [J]. Bull Seism Soc Amer, 93(6): 2 502–2 515.CrossRefGoogle Scholar
  18. McGuire R K and Arabasz W J. 1990. An introduction to probabilistic seismic hazard analysis in geotechnical and environmental geophysics[ J].Society of Exploration Geophysicists,1: 333–353.Google Scholar
  19. Pancha A, Anderson J G, Louie J N. 2007. Characterization of near-fault geology at strong-motion stations in the vicinity of Reno, Nevada [J]. Bull Seism Soc Amer, 97: 2 096–2 117.CrossRefGoogle Scholar
  20. Pelaez J A and Lopez C C. 2002. Seismic hazard estimate at the Iberian Peninsula [J]. Pure Appl Geophys, 159(11/12): 2 699–2 713.Google Scholar
  21. Pelaez J A, Hamdache M, Lopez C C. 2003. Seismic hazard in Northern Algeria using spatially smoothed seismicity: Results for peak ground acceleration [J]. Tectonophysics, 372: 105–119.CrossRefGoogle Scholar
  22. The National Seismic Hazard Mapping Project. 2007. Preliminary Documentation for the 2007 Update of the United States National Seismic Hazard Maps [R/OL]. USGS.11-57[2007-12-20]. http://earthquake.usgs.gov/research/hazmaps/products_data/2007/documentation/index.php
  23. Toro G W, Abrahamson N A, Schneider F J. 1997. Model of strong ground motions from earthquakes in Central and Eastern North America: Best estimates and uncertainties [J]. Seism Res Lett, 68(1): 41–57.CrossRefGoogle Scholar
  24. Veneziano D, Cornell C A, O’Hara T. 1984. Report NP-3438 [C]. Polo Alto: Electric Power Research Institute.Google Scholar
  25. Ward S N. 2007. Methods for evaluating earthquake potential and likelihood in and around California [J]. Seism Res Lett, 78: 121–133.CrossRefGoogle Scholar
  26. XU Guang-yin and JIN Yan. 1998. Development of seismicity model in moderate-to-large seismic region in China [C]//Proceedings of the Symposium on Seismic Zonation in China. Beijing: Seismological Press: 43–49 (in Chinese).Google Scholar
  27. YU Yan-xiang. 2002. Study on attenuation relationships of long period ground motions [D][Ph D Dissertation]. Beijing: Institute of Geophysics, China Earthquake Administration: 110–119 (in Chinese).Google Scholar

Copyright information

© Seismological Society of China and Springer-Verlag GmbH 2008

Authors and Affiliations

  • Yong Yang (杨勇)
    • 1
    Email author
  • Bao-ping Shi (史保平)
    • 2
  • Liang Sun (孙亮)
    • 1
    • 3
  1. 1.Institute of GeophysicsChina Earthquake AdministrationBeijingChina
  2. 2.Graduate University of Chinese Academy of SciencesBeijingChina
  3. 3.Earthquake Adiministration of Huairou DistrictBeijingChina

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