1887
Volume 51, Issue 4
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

Abstract

Body waves may affect phase velocity obtained from microtremor array surveys in some rare cases. Fitting theoretical phase velocities based on a surface-wave theory to observed phase velocities affected by body waves would therefore result in distorted images of subsurface S-wave velocity structure. In this study, we present a method for the theoretical calculation of phase velocities in which the full-wave field (i.e. a wavefield including not only surface waves but also body waves) is taken into account. In numerical experiments conducted in this study, in which we considered the full-wave field, we generated synthetic microtremors by randomly distributing point vibration sources on the surface of a horizontally stratified velocity model. We then determined the phase velocities by applying the spatial autocorrelation (SPAC) method to the synthetic vertical-component wave data. The phase-velocity dispersion curve thus obtained exhibited a shape with a clear peak, with a peak value (peak phase velocity) exceeding the S-wave velocity of a bedrock in the model, which was not explainable with a surface-wave (Rayleigh-wave) theory.

We conducted systematic numerical experiments and clarified the following two features of the peak phase velocity: (1) the peak phase velocity becomes large as the contrast of the S-wave velocities between the surface layer and the bedrock, or the P-to-S-wave velocity ratio (related to the Poisson’s ratio) in the surface layer gets large, and (2) the frequency at which peak phase velocity occurs (peak frequency) lies in the vicinity of the S-wave resonance frequency of the ground. Both the peak phase velocity and the peak frequency were theoretically reproduced by the calculation method that we propose in this study, based on a SPAC method modified to consider the full-wave field. These results imply the possible improvement in the accuracy of microtremor array survey analysis for velocity-structure inference, by applying a full-wave theory to the peak phase velocity.

Loading

Article metrics loading...

/content/journals/10.1080/08123985.2020.1719825
2020-07-03
2026-01-14
Loading full text...

Full text loading...

References

  1. Aki, K.1957. Space and time spectra of stationary stochastic waves, with special reference to microtremors. Bulletin of the Earthquake Research Institute35: 415–456.
    [Google Scholar]
  2. Arai, H., and K.Tokimatsu. 2005. S-Wave velocity profiling by joint inversion of microtremor dispersion curve and horizontal-to-vertical (H/V) spectrum. Bulletin of the Seismological Society of America95: 1766–1778. doi:10.1785/0120040243.
    https://doi.org/10.1785/0120040243 [Google Scholar]
  3. Asten, M.W., and K.Hayashi. 2018. Application of the spatial auto–correlation method for shear-wave velocity studies using ambient noise. Surveys in Geophysics39: 633–659. doi:10.1007/s10712‑018‑9474‑2.
    https://doi.org/10.1007/s10712-018-9474-2 [Google Scholar]
  4. Bettig, B., P.Y.Bard, F.Scherbaum, J.Riepl, F.Cotton, C.Cornou, and D.Hatzfeld. 2001. Analysis of dense array noise measurements using the modified spatial auto-correlation method (SPAC); application to the Grenoble area. Boletin de Geofisica Teorica ed Applicata42 no. 3/4: 281–304.
    [Google Scholar]
  5. Boaga, J., G.Cassiani, C.L.Strobbia, and G.Vignoli. 2013. Mode misidentification in Rayleigh waves: Ellipticity as a cause and a cure. Geophysics78: EN17–EN28. doi:10.1190/geo2012‑0194.1.
    https://doi.org/10.1190/geo2012-0194.1 [Google Scholar]
  6. Bouchon, M.1979. Discrete wave number representation of elastic wave fields in three-space dimensions. Journal of Geophysical Research: Solid Earth84: 3609–3614. doi:10.1029/JB084iB07p03609.
    https://doi.org/10.1029/JB084iB07p03609 [Google Scholar]
  7. Cho, I.2018. Compensating for the impact of incoherent noise in the spatial autocorrelation microtremor array method. Bulletin of the Seismological Society of America109: 199–211. doi:10.1785/0120180153.
    https://doi.org/10.1785/0120180153 [Google Scholar]
  8. Cho, I., T.Tada, and Y.Shinozaki. 2006. A generic formulation for microtremor exploration methods using three-component records from a circular array. Geophysical Journal International165: 236–258. doi:10.1111/j.1365‑246X.2006.02880.x.
    https://doi.org/10.1111/j.1365-246X.2006.02880.x [Google Scholar]
  9. Committee of investigation for Kyoto basin subsurface structure. 1999. Report of the investigation for Kyoto basin subsurface structure, The Headquarters for Earthquake Research Promotion, 24 April 2019 <https://www.hp1039.jishin.go.jp/kozo/KyotoCty4frm.htm.>, <https://www.hp1039.jishin.go.jp/kozo/KyotoCty4/figures/f7-14.jpg.> (in Japanese).
  10. Cornou, C., M.Ohrnberger, D.Boore, K.Kudo, and P.-Y.Bard. 2006. Derivation of structural models from ambient vibration array recordings: results from an international blind test. In ESG 2006: Third International Symposium on the effects of surface Geology on seismic motion, ed. P.-Y.Bard, E.Chaljub, C.Cornou, F.Cotton, and P.Gueguen. Grenoble: LCPC Editions.
    [Google Scholar]
  11. Garofalo, F., S.Foti, F.Hollender, P.-Y.Bard, C.Cornou, B.R.Cox, M.Ohrnberger, et al.2016. InterPACIFIC project: comparison of invasive and non-invasive methods for seismic site characterization. part I: Intra-comparison of surface wave methods. Soil Dynamics and Earthquake Engineering82: 222–240. doi:10.1016/j.soildyn.2015.12.010.
    https://doi.org/10.1016/j.soildyn.2015.12.010 [Google Scholar]
  12. Harkrider, D.G.1964. Surface waves in multilayered elastic media I. Rayleigh and Love waves from buried sources in a multilayered elastic half-space. Bulletin of the Seismological Society of America54: 627–679.
    [Google Scholar]
  13. Haskell, N.A.1953. The dispersion of surface waves on multilayered media. Bulletin of the Seismological Society of America43: 17–34.
    [Google Scholar]
  14. Haubrich, R.A., and K.McCamy. 1969. Microseisms: coastal and pelagic sources. Reviews of Geophysics7: 539–571. doi:10.1029/RG007i003p00539|.
    https://doi.org/10.1029/RG007i003p00539| [Google Scholar]
  15. Lachet, C., and P.-Y.Bard. 1994. Numerical and theoretical investigations on the possibilities and limitations of Nakamura’s technique. Journal of Physics of the Earth42: 377–397. doi:10.4294/jpe1952.42.377.
    https://doi.org/10.4294/jpe1952.42.377 [Google Scholar]
  16. Molnar, S., C.E.Ventura, R.Boroschek, and M.Archila. 2015. Site characterization at Chilean strong-motion stations: comparison of downhole and microtremor shear-wave velocity methods. Soil Dynamics and Earthquake Engineering79: 22–35. doi:10.1016/j.soildyn.2015.08.010.
    https://doi.org/10.1016/j.soildyn.2015.08.010 [Google Scholar]
  17. Morikawa, H., S.Sawada, and J.Akamatsu. 2004. A method to estimate phase velocities of Rayleigh waves using microseisms simultaneously observed at two sites. Bulletin of the Seismological Society of America94: 961–976. doi:10.1785/0120030020.
    https://doi.org/10.1785/0120030020 [Google Scholar]
  18. Ohori, M., H.Morikawa, and A.Nobata. 2010. Analyses of short-period array data using a full-wave Green’s function. Zisin (Journal of the Seismological Society of Japan 2nd series)62: 179–191. doi:10.4294/zisin.62.179. (in Japanese with English abstract).
    https://doi.org/10.4294/zisin.62.179 [Google Scholar]
  19. Ohori, M., A.Nobata, and K.Wakamatsu. 2002. A comparison of ESAC and FK methods of estimating phase velocity using arbitrarily shaped microtremor arrays. Bulletin of the Seismological Society of America92: 2323–2332. doi:10.1785/0119980109.
    https://doi.org/10.1785/0119980109 [Google Scholar]
  20. Ohtake, M., T.Asada, and S.Suyehiro. 1965. A distorted distribution of apparent velocities observed with ultra-sensitive tripartite network. Zisin (Journal of the Seismological Society of Japan 2nd series)18: 15–24. doi:10.4294/zisin1948.18.1_15. (in Japanese).
    https://doi.org/10.4294/zisin1948.18.1_15 [Google Scholar]
  21. Okada, H.2003. The microtremor survey method, geophysical monograph series. Vol. 12. Tulsa, OK: Society of Exploration Geophysicists.
  22. Tamura, S.1996. Comparison of body and Rayleigh wave displacements generated by a vertical point force on a layered elastic medium, Elsevier Science Ltd., Proceedings of the 11th World Conference on Earthquake Engineering, Paper No. 1722.
  23. Tokimatsu, K.1997. Geotechnical site characterization using surface waves. In Proceedings of the 1st International Conference of Earthquake Geotechnical Engineering, ed. K.Ishihara, 1333–1368. Rotterdam: Balkema.
    [Google Scholar]
  24. Tokimatsu, K., K.Shinzawa, and S.Kuwayama. 1992b. Use of short-period microtremors for Vs profiling. Journal of Geotechnical Engineering118: 1544–1558. doi:10.1061/(ASCE)0733‑9410(1992)118:10(1544).
    https://doi.org/10.1061/(ASCE)0733-9410(1992)118:10(1544) [Google Scholar]
  25. Tokimatsu, K., and S.Tamura. 1995. Contribution of Rayleigh and body waves to displacement induced by a vertical point force on a layered elastic half-space. Journal of Structural and Construction Engineering (Transactions of AIJ)476: 95–101. doi:10.3130/aijs.60.95_3. (in Japanese with English abstract).
    https://doi.org/10.3130/aijs.60.95_3 [Google Scholar]
  26. Tokimatsu, K., S.Tamura, and H.Kojima. 1992a. Effects of multiple modes on Rayleigh wave dispersion characteristics. Journal of Geotechnical Engineering118: 1529–1543. doi:10.1061/(ASCE)0733‑9410(1992)118:10(1529).
    https://doi.org/10.1061/(ASCE)0733-9410(1992)118:10(1529) [Google Scholar]
  27. Yoshida, K., and H.Uebayashi. 2018. Love wave phase velocity estimation by using rotational components obtained from microtremor array records. BUTSURI-TANSA(Geophysical Exploration)71: 15–23. doi:10.3124/segj.71.15. (in Japanese with English abstract).
    https://doi.org/10.3124/segj.71.15 [Google Scholar]
/content/journals/10.1080/08123985.2020.1719825
Loading
/content/journals/10.1080/08123985.2020.1719825
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): dispersion; effective; Full waveform; near surface; phase; velocity

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error