1887
Volume 17, Issue 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Identification of different modes of Rayleigh waves is essential in surface‐wave surveys. Multi‐mode Rayleigh waves can provide higher accuracy of the near‐surface structure than the fundamental mode alone. However, some modes or frequencies of Rayleigh waves may be absent in the vertical‐component seismic data. To complement the dispersion information, a method based on complex‐vector seismic data is proposed. We construct the complex vector by setting the radial component and vertical component as the real part and imaginary part, respectively. Then, high‐resolution linear Radon transform is used to obtain the multi‐mode Rayleigh‐wave dispersion image of the complex‐vector seismic data. Based on different dispersion characteristics of the radial and vertical components, the dispersion images of the complex–vector seismic data show better performance against interferences and mode misidentification. Synthetic and field examples demonstrate advantages of the complex‐vector method over the traditional vertical‐component method in spectral bands and dispersion curve mode identification. Therefore, a more robust and accurate near‐surface S‐wave velocity structure can be expected compared to the traditional vertical‐component Rayleigh‐wave method.

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2019-08-13
2020-06-02
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References

  1. AkiK. and RichardsP.G.2002. Quantitative Seismology. University Science Books.
    [Google Scholar]
  2. BoagaJ., CassianiG., StrobbiaC.L. and VignoliG.2013. Mode misidentification in Rayleigh waves: ellipticity as a cause and a cure. Geophysics78, 17–28.
    [Google Scholar]
  3. BoieroD., WiardaE. and VermeerP.2013. Surface‐and guided‐wave inversion for near‐surface modeling in land and shallow marine seismic data. The Leading Edge32, 638–646.
    [Google Scholar]
  4. Dal MoroG.2014. Surface Wave Analysis for Near Surface Applications. Elsevier.
    [Google Scholar]
  5. Dal MoroG. and FerigoF.2011. Joint analysis of Rayleigh‐and love‐wave dispersion: issues, criteria and improvements. Journal of Applied Geophysics75, 573–589.
    [Google Scholar]
  6. Dal MoroG., MouraR.M.M. and MoustafaS.S.2015. Multi‐component joint analysis of surface waves. Journal of Applied Geophysics119, 128–138.
    [Google Scholar]
  7. Dal MoroG., MoustafaS.S. and Al‐ArifiN.S.2018. Improved holistic analysis of Rayleigh waves for single‐and multi‐offset data: joint inversion of Rayleigh‐wave particle motion and vertical‐and radial‐component velocity spectra. Pure and Applied Geophysics175, 67–88.
    [Google Scholar]
  8. GouveiaF., LopesI. and GomesR.C.2016. Deeper vs profile from joint analysis of Rayleigh wave data. Engineering Geology202, 85–98.
    [Google Scholar]
  9. HarkriderD.G.1970. Surface waves in multilayered elastic media. Part II. Higher mode spectra and spectral ratios from point sources in plane layered earth models. Bulletin of the Seismological Society of America60, 1937–1987.
    [Google Scholar]
  10. HarmonN., ForsythD. and WebbS.2007. Using ambient seismic noise to determine short‐period phase velocities and shallow shear velocities in young oceanic lithosphere. Bulletin of the Seismological Society of America97, 2009–2023.
    [Google Scholar]
  11. HaskellN.A.1953. The dispersion of surface waves on multilayered media. Bulletin of the Seismological Society of America43, 17–34.
    [Google Scholar]
  12. HerrmannR. and AmmonC.2002. Computer Programs in Seismology, version 3.30. St. Louis University, St. Louis, MO.
    [Google Scholar]
  13. IkedaT. and MatsuokaT.2013. Computation of Rayleigh waves on transversely isotropic media by the reduced delta matrix method. Bulletin of the Seismological Society of America103, 2083–2093.
    [Google Scholar]
  14. IkedaT., MatsuokaT., TsujiT. and NakayamaT.2015. Characteristics of the horizontal component of Rayleigh waves in multimode analysis of surface waves. Geophysics80, 1–11.
    [Google Scholar]
  15. IvanovJ., MillerR.D., XiaJ. and PeterieS.2010. Multi‐mode inversion of multi‐channel analysis of surface waves (MASW) dispersion curves and high‐resolution linear radon transform (HRLRT). SEG Technical Program Expanded Abstracts 2010, 1902–1907. Society of Exploration Geophysicists.
  16. Knapmeyer‐EndrunB., GolombekM.P. and OhrnbergerM.2017. Rayleigh wave ellipticity modeling and inversion for shallow structure at the proposed insight landing site in Elysium Planitia, Mars. Space Science Reviews211, 339–382.
    [Google Scholar]
  17. LaiC.G., MangriotisM.D. and RixG.J.2014. An explicit relation for the apparent phase velocity of Rayleigh waves in a vertically heterogeneous elastic half‐space. Geophysical Journal International199, 673–687.
    [Google Scholar]
  18. LayadiK., SemmaneF. and Yelles‐ChaoucheA.2018. S‐wave velocity structure of Chlef City, Algeria, by inversion of Rayleigh wave ellipticity. Near Surface Geophysics16, 328–339.
    [Google Scholar]
  19. LuL., WangC. and ZhangB.2007. Inversion of multimode Rayleigh waves in the presence of a low‐velocity layer: numerical and laboratory study. Geophysical Journal International168, 1235–1246.
    [Google Scholar]
  20. LuoY., XiaJ., MillerR.D., XuY., LiuJ. and LiuQ.2008. Rayleigh‐wave dispersive energy imaging using a high‐resolution linear radon transform. Pure and Applied Geophysics165, 903–922.
    [Google Scholar]
  21. LuoY., XiaJ., MillerR.D., XuY., LiuJ. and LiuQ.2009. Rayleigh‐wave mode separation by high‐resolution linear radon transform. Geophysical Journal International179, 254–264.
    [Google Scholar]
  22. MiB., XiaJ., ShenC. and WangL.2018. Dispersion energy analysis of Rayleigh and Lovewaves in the presence of low‐velocity layers in near‐surface seismic surveys. Surveys in Geophysics39, 271–288.
    [Google Scholar]
  23. OlafsdottirE.A., BessasonB. and ErlingssonS.2018. Combination of dispersion curves from masw measurements. Soil Dynamics and Earthquake Engineering113, 473–487.
    [Google Scholar]
  24. PanY., SchanengS., SteinwegT. and BohlenT.2018. Estimating S‐wave velocities from 3D 9‐component shallow seismic data using local Rayleigh‐wave dispersion curves—a field study. Journal of Applied Geophysics159, 532–539.
    [Google Scholar]
  25. RoyN. and JakkaR.S.2017. Near‐field effects on site characterization using MASW technique. Soil Dynamics and Earthquake Engineering97, 289–303.
    [Google Scholar]
  26. ShaoG. and LiQ.2009. Subdividing layering method in dispersion curves inversion of surface wave, 2009 International Geophysical Conference and Exposition, April 24–27, 2009. Beijing, China, pp. 234–234.
  27. SongX., GuH., LiuJ. and ZhangX.2007. Estimation of shallow subsurface shear‐wave velocity by inverting fundamental and higher‐mode Rayleigh waves. Soil Dynamics and Earthquake Engineering27, 599–607.
    [Google Scholar]
  28. TokimatsuK., TamuraS. and KojimaH.1992. Effects of multiple modes on Rayleigh wave dispersion characteristics. Journal of Geotechnical Engineering118, 1529–1543.
    [Google Scholar]
  29. Vaziri AstanehA. and GuddatiM.N.2016. Improved inversion algorithms for near‐surface characterization. Geophysical Journal International206, 1410–1423.
    [Google Scholar]
  30. WangC. and WangY.2017. Ground roll attenuation using polarization analysis in the TFK domain. Geophysical Journal International210, 240–254.
    [Google Scholar]
  31. XiaJ., MillerR.D. and ParkC.B.1999. Estimation of near‐surface shear‐wave velocity by inversion of Rayleigh waves. Geophysics64, 691–700.
    [Google Scholar]
  32. XiaJ., MillerR.D., ParkC.B. and TianG.2003. Inversion of high frequency surface waves with fundamental and higher modes. Journal of Applied Geophysics52, 45–57.
    [Google Scholar]
  33. XiaJ., XuY., LuoY., MillerR.D., CakirR. and ZengC.2012. Advantages of using multichannel analysis of Love waves (MALW) to estimate near‐surface shear‐wave velocity. Surveys in Geophysics33, 841–860.
    [Google Scholar]
  34. XiaJ., XuY. and MillerR.D.2007. Generating an image of dispersive energy by frequency decomposition and slant stacking. Pure and Applied Geophysics164, 941–956.
    [Google Scholar]
  35. YaoH., GouedardP., CollinsJ.A., McGuireJ.J. and van der HilstR.D.2011. Structure of young east pacific rise lithosphere from ambient noise correlation analysis of fundamental‐and higher‐mode Scholte‐Rayleigh waves. Comptes Rendus Geoscience343, 571–583.
    [Google Scholar]
  36. ZhangS.X. and ChanL.S.2003. Possible effects of misidentified mode number on Rayleigh wave inversion. Journal of Applied Geophysics53, 17–29.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Near‐surface , Surface wave and S‐wave velocity
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