Real-time estimation of fault rupture extent using near-source versus far-source classification

Bulletin of the Seismological Society of America

Volumn 97, Issue 6, 2007, Pages 1890-1910

  Yamada, Masumi ^a   Heaton, Thomas ^b   Beck, James ^b  

^a KYOTO UNIVERSITY   (Japan)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DISCRIMINANT ANALYSIS; MATHEMATICAL MODELS; PROBABILITY; SEISMOGRAPHS; SEISMOLOGY;

BAYESIAN METHODS; FAULT RUPTURE; FISHER'S LINEAR DISCRIMINANT ANALYSIS; GROUND MOTION;

EARTHQUAKES;

BAYESIAN ANALYSIS; DISCRIMINANT ANALYSIS; EARTHQUAKE RUPTURE; ESTIMATION METHOD; FAULT ZONE; GROUND MOTION; MODELING; PROBABILITY; REAL TIME;

EID: 38349169325     PISSN: 00371106     EISSN: None     Source Type: Journal    
DOI: 10.1785/0120060243     Document Type: Article

References (39)

1. Akkar, S., and P. Gülkan (2002). A critical examination of near-field accelerograms from the sea of Marmara region earthquakes, Bull. Seismol. Soc. Am. 92, 428-447.
2. Allen, R. M., and H. Kanamori (2003). The potential for earthquake early warning in Southern California, Science 300, 786-789.
3. Beck, J. L., and L. S. Katafygiotis (1998). Updating models and their uncertainties. I: Bayesian statistical framework, J. Eng. Mech. 124, no. 4, 455-461.
4. Beck, J. L., and K. Yuen (2004). Model selection using response measurements: Bayesian probabilistic approach, J. Eng. Mech 130, 192-203.
5. Boore, D. M. (2001). Effect of baseline correction on displacement and response spectra for several recordings of the 1999 Chi-Chi, Taiwan, earthquake, Bull. Seismol. Soc. Am. 91, 1199-1211.
6. Campbell, K. W. (1981). Near-source attenuation of peak horizontal acceleration, Bull. Seismol. Soc. Am. 71, 2039-2070.
7. Cua, G. (2005). Creating the virtual seismologist: developments in earthquake early warning and ground motion characterization, Ph.D. Thesis, Department of Civil Engineering, California Institute of Technology.
8. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems, Ann. Eugen. 7, 179-188.
9. Gull, S. (1988) Bayesian inductive reference and maximum entropy, in Maximum Entropy and Bayesian Methods in Science and Engineering, C. J. Erickson and C. R. Smith (Editors), Kluwer Academic, Dordrecht, 53-74.
10. Hanks, T. C., and D. A. Johnson (1976). Geophysical assessment of peak accelerations, Bull. Seismol. Soc. Am. 66, 959-968.
11. Hanks, T. C., and R. K. McGuire (1981). The character of high-frequency strong ground motion, Bull. Seismol. Soc. Am. 71, no. 6, 2071-2095.
12. Hartzell, S., and T. Heaton (1983). Inversion of strong ground motion and teleseismic waveform data for the fault rupture history of the 1979 Imperial Valley, California, earthquake, Bull. Seismol. Soc. Am. 73, 1553-1583.
13. Honda, R., S. Aoi, N. Morikawa, H. Sekiguchi, T. Kunugi, and H. Fujiwara (2005). Ground motion and rupture process of the 2004 mid Niigata prefecture earthquake obtained from strong motion data of K-NET and KiK-net, Earth Planet Space 57, 527-532.
14. Iwan, W. D., M. A. Moser, and C.-Y. Peng (1985). Some observations on strong-motion earthquake measurement using a digital accelerograph, Bull. Seismol. Soc. Am. 75, 1225-1246.
15. Jaynes, E. T. (2003). Probability Theory: The Logic of Science, Cambridge U. Press, New York.
16. Ji, C., D. V. Helmberger, D. J. Wald, and K. F. Ma (2003). Slip history and dynamic implication of 1999 Chi-Chi earthquake, J. Geophys. Res. 108, no. B9, 2412, doi 10.1029/2002JB001764.
17. Joyner, W. B., and D. M. Boore (1981). Peak horizontal acceleration and velocity from strong-motion records including records from the 1979 Imperial Valley, California, earthquake, Bull. Seismol. Soc. Am. 71, 2011-2038.
18. Lee, W. H. K., T. C. Shin, K. W. Kuo, K. C. Chen, and C. F. Wu (2001). CWB Free-Field Strong-Motion Data from the 21 September Chi-Chi, Taiwan, Earthquake, Bull. Seismol. Soc. Am. 91, no. 5, 1370-1376.
19. Li, Y., C. Campbell, and M. Tipping (2002). Bayesian automatic relevance determination algorithms for classifying gene expression data, Bioinformatics 18, 1332-1339.
20. MacKay, D. J. C. (1998). Introduction to Monte Carlo methods, in Learning in Graphical Models, MIT Press, Cambridge, Massachusetts, 175-204.
21. Metropolis, N., A. W. Rosenbluth, M. N. Rosenbluth, and A. H. Teller (1953). Equations of state calculations by fast computing machines, J. Chem. Phys. 21, no. 6, 1087-1092.
22. Muto, M., and J. L. Beck (2007). Bayesian updating and model class selection for hysteretic structural models using stochastic simulation, J. Vib. Control (in press).
23. Nakamura, Y. (1988). On the urgent earthquake detection and alarm system (UrEDAS), Proc. of the 9th World Conference on Earthquake Engineering, Tokyo-Kyoto, Japan Vol. VII, 673-678.
24. Odaka, T., K. Ashiya, S. Tsukada, S. Sato, K. Otake, and D. Nozaka (2003). A new method of quickly estimating epicentral distance and magnitude from a single seismic record, Bull. Seismol. Soc. Am. 93, no. 1,526-532.
25. Papadimitriou, C., J. L. Beck, and L. S. Katafygiotis (1997). Asymptotic expansions for reliabilities and moments of uncertain dynamic systems, J. Eng. Mech. 123, no. 12,1219-1229.
26. Roberts, G. O., A. Gelman, and W. R. Gilks (1997). Weak convergence and optimal scaling of random walk Metropolis algorithms, Ann. Appl. Probab. 7, 110-120.
27. Sekiguchi, H., and T. Iwata (2002). Rupture process of the 1999 Kocaeli, Turkey, earthquake estimated from strong-motion waveforms, Bull. Seismol. Soc. Am. 92, 300-311.
28. Sekiguchi, H., K. Irikura, T. Iwata, Y. Kakehi, and M. Hoshiba (1996). Minute locating of faulting beneath Kobe and the waveform inversion of the source process during the 1995 Hyogo-ken Nanbu, Japan, earthquake using strong ground motion records, J. Phys. Earth 44, 473-488.
29. Shin, T.-C., and T.-L. Teng (2001). An overview of the 1999 Chi-Chi, Taiwan, earthquake, Bull. Seismol. Soc. Am. 91, 895-913.
30. Sivia, D. S. (1996). Data Analysis: A Bayesian Tutorial, Oxford U. Press, Oxford.
31. Toki, K., K. Irikura, and T. Kagawa (1995). Strong motion data recorded in the source area of the Hyogoken-nanbu earthquake, January 17, 1995, Japan, J. Nat. Disaster Sci. 16, 23-30.
32. Tsuboi, S., D. Komatitsch, C. Ji, and J. Tromp (2003). Broadband modeling of the 2002 Denali fault earthquake on the Earth Simulator, Phys. Earth Planet. Interiors 139, 305-312.
33. Venables, W. N., and B. D. Ripley (2002). Modern Applied Statistics with S, Fourth Ed., Springer, New York.
34. Wald, D. J. (1996). Slip history of the 1995 Kobe, Japan, earthquake determined from strong motion, teleseismic, and geodetic data, J. Phys. Earth 44, 489-503.
35. Wald, D. J., and T. H. Heaton (1994). Spatial and temporal distribution of slip for the 1992 Landers, California, earthquake, Bull. Seismol. Soc. Am. 84, 668-691.
36. Wald, D. J., T. H. Heaton, and D. V. Helmberger (1991). Rupture model of the 1989 Loma Prieta earthquake from the inversion of strong motion and broadband teleseismic data, Bull. Seismol. Soc. Am 81, 1540-1572.
37. Wald, D. J., T. H. Heaton, and K. W. Hudnut (1996). A dislocation model of the 1994 Northridge, California, earthquake determined from strong-motion, GPS, and leveling-line data, Bull. Seismol. Soc. Am. 86, S49-70.
38. Wessel, P., and W. H. F. Smith (1991). Free software helps map and display data, EOS. Trans. AGU 72, 445-446.
39. Wu, Y. M., and H. Kanamori (2005). Experiment on an onsite early warning method for the Taiwan early warning system, Bull. Seismol. Soc. Am. 95, 347-353.