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Modeling of strong motion generation areas of the 2011 Tohoku, Japan earthquake using modified semi-empirical technique

Author

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  • A. Joshi
  • Sandeep
  • Kamal

Abstract

Modification in the semi-empirical technique for the simulation of strong ground motion has been introduced to incorporate the strong motion generation areas (SMGA) in the modeled rupture plane. Strong motion generation areas identified within the rupture plane of the Tohoku earthquake of March 11, 2011 (M w = 9.0), have been modeled using this modified technique. Two different source models having four and five SMGAs, respectively, are considered for modeling purpose. Strong motion records using modified semi-empirical technique have been simulated at two near-field stations located at epicentral distance of 137 and 140 km, respectively, using two different source models. Comparison of the observed and simulated acceleration waveforms is made in terms of root mean square error (RMSE) at both stations. Minimum root mean square error of the waveform comparison has been obtained at both the stations for source model having five SMGAs. Simulations from same rupture model have been made at other four stations lying at epicentral distance between 154 and 249 km. Comparison of observed and simulated records has been made in terms of RMSE in acceleration records, velocity records and response spectra at each six station. Simulations have been made at six other stations to obtain distribution of peak ground acceleration and peak ground velocity with hypocentral distance. Peak ground acceleration and velocity from simulated and observed records are compared at twelve stations surrounding the source of Tohoku earthquake. Comparison of waveforms and parameters extracted from observed and simulated strong motion records confirms the efficacy of the developed modified technique to model earthquake characterized by SMGAs. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • A. Joshi & Sandeep & Kamal, 2014. "Modeling of strong motion generation areas of the 2011 Tohoku, Japan earthquake using modified semi-empirical technique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 587-609, March.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:1:p:587-609
    DOI: 10.1007/s11069-013-0922-5
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    Citations

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    Cited by:

    1. Sandeep & A. Joshi & Kamal & Parveen Kumar & Ashvini Kumar, 2014. "Effect of frequency-dependent radiation pattern in the strong motion simulation of the 2011 Tohoku earthquake, Japan, using modified semi-empirical method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1499-1521, September.
    2. Sandeep & A. Joshi & Kamal & Parveen Kumar & Pushpa Kumari, 2014. "Modeling of strong motion generation area of the Uttarkashi earthquake using modified semiempirical approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 2041-2066, September.
    3. A. Joshi & Chun-Hsiang Kuo & Piu Dhibar & Sandeep & M. Sharma & Kuo-Liang Wen & Che-Min Lin, 2015. "Simulation of the records of the 27 March 2013 Nantou Taiwan earthquake using modified semi-empirical approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 995-1020, September.
    4. Sandeep & A. Joshi & Kamal & Parveen Kumar & Ashvini Kumar & Piu Dhibar, 2015. "Modeling of strong motion generation areas of the Niigata, Japan, earthquake of 2007 using modified semi-empirical technique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 933-957, June.

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