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Rupture process during the 2007 Noto Hanto earthquake (MJMA 6.9) and strong-motion simulation in the source region

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The source rupture process during the 2007 Noto Hanto earthquake is inferred using a broadband waveform inversion technique based on the empirical Green’s function and the simulated annealing. The spatio-temporal distributions of the moment density and rise time on the fault are estimated from displacement motions in the frequency range from 0.1 to 2 Hz, and effective stress distribution is derived from the velocity motions in the frequency range up to 5 Hz. Results from the displacement inversion indicate that the seismic moment is mainly released from a single asperity with an area of 10 × 10 km2, and total moment release is estimated to be about 1.3 × 1019 N m. The velocity inversion shows that the high effective stress area distributes on and around the asperity, in particular at the deep periphery of it. The broadband strong motions determined using the conventional source model composed of only the moment distribution are compared with those calculated by considering both moment and effective stress separately. The fit between observed acceleration motions and synthetic ones from both source models are generally good in the frequency range up to 10 Hz, and no evident difference is recognized.


  1. Akaike, H., Likelihood and the Bayes procedure, in Bayesian Statics, University Press, Valencia, Spain, 1980.

  2. Aki, K., Scaling law of seismic spectrum, J. Geophys. Res., 72, 1217–1231, 1967.

  3. Aoi, S., K. Obara, S. Hori, K. Kasahara, and Y. Okada, New strong-motion observation network: KiK-net, Eos Trans. AGU, 329, 2000.

  4. Boore, D. and J. Boatwright, Average body-wave radiation coefficients, Bull. Seismol. Soc. Am., 74, 1615–1621, 1984.

  5. Brune, J., Tectonic Stress and the Spectra of Seismic Shear Waves from Earthquakes, J. Geophys. Res., 75, 4997–5009, 1970.

  6. Brune, J., Correction, J. Geophys. Res., 76, 5002, 1971.

  7. Fukuyama, E., M. Ishida, D. S. Dreger, and H. Kawai, Automated seismic moment tensor determination by using on-line broadband waveforms, Zisin 2 (J. Seismol. Soc. Jpn.), 51, 149–156, 1998 (in Japanese with English abstract).

  8. Horikawa, H., Source rupture process of 2007 Noto-Hanto Earthquake,, 2007 (in Japanese).

  9. Ihmlé, P. F., Monte Carlo slip inversion in the frequency domain: Application to the 1992 Nicaragua slow earthquake, Geophys. Res. Lett., 9, 913–916, 1996.

  10. Ingber, L., Very fast simulated re-annealing, Mathl. Comput. Modelling, 12, 967–973, 1989.

  11. Irikura, K., Prediction of strong acceleration motions using empirical Green’s function, Proc. 7th Jpn. Conf. Earthq. Eng., 151–156, 1986.

  12. Irikura, K., Recipe for predicting strong ground motion from future large earthquake, Ann. Disas. Prev. Res. Inst., Kyoto Univ., 47, A, 2004 (in Japanese with English abstract).

  13. Iwata, T. and K. Asano, Source process characteristics of the 2007 Noto-Hanto earthquake, The 35th Symposium of Earthquake Ground Motion, 7–12, 2007 (in Japanese with English abstract).

  14. Kamae, K., K. Irikura, and Y. Fukuchi, Prediction of strong ground motion for M7 earthquake using regional scaling relations of source parameters, J. Struct. Constr. Engng, AIJ, 416, 57–70, 1990 (in Japanese with English abstract).

  15. Kinoshita, S., Kyoshin net (K-NET), Seismol. Res. Lett., 69, 309–332, 1998.

  16. Kirkpatrick, S., C. D. Gelatt, and M. P. Vecchi, Optimization by simulated annealing, Science, 220, 671–680, 1983.

  17. Miyake, H., T. Iwata, and K. Irikura, Source characterization for broadband ground-motion simulation: Kinematic heterogeneous source model and strong motion generation area, Bull. Seismol. Soc. Am., 93, 2531–2545, 2003.

  18. Shiba, Y. and K. Irikura, Rupture process by waveform inversion using simulated annealing and simulation of broadband ground motions, Earth Planets Space, 57, 571–590, 2005.

  19. Shiba, Y., Improvement of inversion technique with simulated annealing to estimate more accurate and well-resolved source parameters, Programme and Abstracts, Seismol. Soc. Jpn., 2, P068, 2006 (in Japanese).

  20. Yoshida, S. and K. Koketsu, Simultaneous inversion of waveform and geodetic data for rupture process of the 1984 Naganoken-Seibu, Japan, earthquake, Geophys. J. Int., 103, 355–362, 1990.

  21. Wessel, P. and W. H. F. Smith, New, improved version of Generic Mapping Tools released, Eos Trans. AGU, 79, 579, 1998.

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Correspondence to Yoshiaki Shiba.

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Key words

  • Rupture process
  • waveform inversion
  • strong ground motion
  • simulated annealing
  • empirical Green’s function