1887
Volume 20, Issue 3
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

Urban road near‐surface anomalous structures are buried at shallow depths (≦20 m) and small scale. Current geophysical methods, such as the transient electromagnetic, ground‐penetrating radar and shallow seismic methods with reflection wave, refraction wave and Rayleigh surface wave, do not provide sufficient detection accuracy for near‐surface anomalous structures. Although the back‐scattered method is promising in this task, it still needs improvement. This paper proposes an efficient near‐surface seismic back‐scattered method to realize the rapid lateral imaging of urban road anomalous structures. The proposed method uses a principal component analysis algorithm to directly extract the anomalous structure information. It does not require the knowledge of parameters such as velocity or the seismic wavelet so that the solutions are not affected by these parameters. Moreover, the proposed method retains the high transverse resolution of the back‐scattered wavefield and does not lose the wavefield information. Simulation and experimental operation show that the proposed method is very efficient. Combined with the hardware equipment provided by the towed seismograph, the proposed method can realize rapid detection and data imaging, which has a high engineering application value.

Loading

Article metrics loading...

/content/journals/10.1002/nsg.12200
2022-05-20
2024-04-25
Loading full text...

Full text loading...

References

  1. Abbott, R.E., Bartel, L.C., Engler, B.P. and Pullammanappalliil, S. (2006) Surface‐wave and refraction tomography at the FACT site. Technical report no. SAND20065098, Sandia National Laboratories.
    [Google Scholar]
  2. Abdullah, A., Lin, F.C. and Gerard, T.S. (2016) Imaging near‐surface heterogeneities by natural migration of backscattered surface waves. Geophysical Journal International, 204, 1332–1341.
    [Google Scholar]
  3. Anbazhagan, P., Su, L.J., Indraratna, B. and Rujikiatkamjorn, C. (2011) Model track studies on fouled ballast using ground‐penetrating radar and multichannel analysis of surface wave. Journal of Applied Geophysics, 74, 175–184.
    [Google Scholar]
  4. Aubrey, C.E.G., Cédric, J.S., Ann, R.D. and Vincent, S.N. (2016) Application of principal component analysis (PCA) and improved joint probability distributions to the inverse first‐order reliability method (I‐FORM) for predicting extreme sea states. Ocean Engineering, 112, 307–319.
    [Google Scholar]
  5. Ben, D., David, G., Giulio, C., Cornelia, I., Russell, S., David, C.et al. (2020) Surface wave surveys for imaging ground property changes due to a leaking water pipe. Journal of Applied Geophysics, 174, 103923.
    [Google Scholar]
  6. Campman, X., Van Wijk, K. and A Scales, J. (2005) Imaging and suppressing near‐receiver scattered surface waves. Geophysics, 70(2), 21–29. https://doi.org/10.1190/1.1884831.
    [Google Scholar]
  7. Campman, X. and Christina, D.R. (2007) Non‐linear inversion of scattered seismic surface waves. Geophysical Journal International, 171, 1118–1125.
    [Google Scholar]
  8. Chai, H.Y., Phoon, K.K., Goh, S.H. and Wei, C.F. (2012) Some theoretical and numerical observations on scattering of Rayleigh waves in media containing shallow rectangular cavities. Journal of Applied Geophysics, 83, 107–119.
    [Google Scholar]
  9. Colombero, C., Comina, C. and Socco, L.V. (2019) Imaging near‐surface sharp lateral variation with surface‐wave methods. Part I: Detection and location. Geophysics, 1–93. https://doi.org/10.1190/geo2019‐0149.1.
    [Google Scholar]
  10. Craig, H. and Stewart, R.S. (2015) Imaging lateral heterogeneity using reflected surface waves. Geophysics, 80(3), 69–82.
    [Google Scholar]
  11. Gilles, G. and Donatienne, L. (2004) The potential of seismic methods for detecting cavities and buried objects: experimentation at a test site. Journal of Applied Geophysics, 56, 93–106.
    [Google Scholar]
  12. Guo, B.W., Sherif, H. and Gerard, S. (2015) Super‐virtual interferometric separation and enhancement of back‐scattered surface waves. 2015 SEG, SEG New Orleans, Annual Meeting.
  13. Harmankaya, U., Kaslilar, A., Thorbecke, J., Wapenaar, K. and Draganov, D. (2013) Locating near‐surface scatterers using non‐physical scattered waves resulting from seismic interferometry. Journal of Applied Geophysics, 91, 66–81.
    [Google Scholar]
  14. Herman, G.C., Milligan, P.A., Huggins, R.J. and Rector, J.W. (2000) Imaging shallow objects and heterogeneities with scattered guided waves. Geophysics, 65(1), 247–252.
    [Google Scholar]
  15. Ignazio, A., Bruno, M., Paola, M., Carlo, P., Roberto, T., Olga, D.P. and Giorgio, S.S. (2020) Macro‐classification of meteorites by portable energy dispersive X‐ray fluorescence spectroscopy (pED‐XRF), principal component analysis (PCA) and machine learning algorithms. Talanta, 212, 120785.
    [Google Scholar]
  16. Jeng, Y. and Chen, C.S. (2012) Subsurface GPR imaging of a potential collapse area in urban environments. Engineering Geology, 147–148, 57–67.
    [Google Scholar]
  17. Kaslilar, A. (2007) Inverse scattering of surface waves: imaging of near‐surface heterogeneities. Geophysical Journal International, 171, 352–367.
    [Google Scholar]
  18. Kaslilar, A., Harmankaya, U., Wapenaar, K. and Draganov, D. (2013) Estimating the location of a tunnel using correlation and inversion of Rayleigh wave scattering. Geophysical Physical Research Letter, 40, 6084–6088.
    [Google Scholar]
  19. Kaslilar, A., Harmankaya, U., Wijk, K.V. and Draganov, D. (2014) Estimating location of scatterers using seismic interferometry of scattered Rayleigh waves. Near Surface Geophysics, 12, 721–730.
    [Google Scholar]
  20. Liu, C.M. (2018) Cause analysis and countermeasures of urban road collapse. Urban Geotechnical Investigation & Surveying, S1, 184–187.
    [Google Scholar]
  21. Liu, Y.X. (2020) Behind the sinkhole accident: At least 14 road collapses have occurred in Xining city in the past six years. The Beijing News (in Chinese), https://news.163.com/20/0114/22/F2SQEKV100018AOR.html.
    [Google Scholar]
  22. Luciana, O., Ettore, C., Michele, C., Giorgio, D.D. and Luca, D.G. (2017) Pavement testing by integrated geophysical methods: feasibility, resolution and diagnostic potential. Journal of Applied Geophysics, 136, 462–473.
    [Google Scholar]
  23. Marco, D.R. and Giovanni, L. (2010) Towards an integrated approach for characterization of sinkhole hazards in urban environments: the unstable coastal site of Casalabate, Lecce, Italy. Journal of Geophysics and Engineering, 7, 143–154.
    [Google Scholar]
  24. Park, C.B., Xia, J. and Miller, R.D. (1998) Ground roll as a tool to image near‐surface anomaly. 68th Annual International Meeting, SEG, Expanded Abstracts, 874–877.
  25. Phan, H.D., Cho, Y.H. and Li, W.B. (2018) A theoretical approach to multiple scattering of surface waves by shallow cavities in a half‐space. Ultrasonics, 88, 16–25.
    [Google Scholar]
  26. Shen, K. (2019) 3 remain missing in S. China ground collapse accident. Xinhua. https://www.shine.cn/news/nation/1912017176/.
    [Google Scholar]
  27. Song, X.H., Li, L., Zhang, X.Q., Huang, J.Q., Shi, X.C., Jin, S. and Bai, Y.M. (2014) Differential evolution algorithm for nonlinear inversion of high‐frequency Rayleigh wave dispersion curves. Journal of Applied Geophysics, 109, 47–61.
    [Google Scholar]
  28. Song, X.H., Tang, L., Lv, X.C., Fang, H.P. and Gu, H.M. (2012) Application of particle swarm optimization to interpret Rayleigh wave dispersion curves. Journal of Applied Geophysics, 84, 1–13.
    [Google Scholar]
  29. Stig, H. and Bent, R. (1994) 2D finite‐difference elastic wave modelling including surface topography. Geophysical Prospecting, 42(5), 371–390. https://doi.org/10.1111/j.1365‐2478.1994.tb00216.x.
    [Google Scholar]
  30. Wang, C.Y., Oluwaseyi, B. and Achenbach, J.D. (2019) Scattering of a Rayleigh wave by a near‐surface crack which is normal to the free surface. International Journal of Engineering Science, 145, 103162.
    [Google Scholar]
  31. Xia, J., Nyquist, J.E., Xu, Y.X., Roth, M.J.S. and Miller, R.D. (2007) Feasibility of detecting near‐surface feature with Rayleigh wave diffraction. Journal of Applied Geophysics, 62(3), 244–253. https://doi.org/10.1016/j.jappgeo.2006.12.002.
    [Google Scholar]
  32. Yu, H., Guo, B.W., Sherif, H., Li, F.C. and Gerard, T.S. (2014) Direct detection of near‐surface faults by migration of back‐scattered surface waves. 2014 SEG Denver 2014 Annual Meeting.
http://instance.metastore.ingenta.com/content/journals/10.1002/nsg.12200
Loading
/content/journals/10.1002/nsg.12200
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Anomalous structure; Back‐scattered; Near‐surface; Seismics; Urban road

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