Advertisement

Recommendations for generating dispersion images of optimal resolution from active MASW survey

  • Jumrik Taipodia
  • Dipjyoti Baglari
  • Arindam DeyEmail author
Practice-oriented paper

Abstract

Multichannel Analysis of Surface Waves (MASW) is proving to be the most recent and popular non-invasive method which can characterize the subsurface in quick and better ways. This article reports a detailed study of active MASW survey conducted in a soil site characterized by the presence of heterogeneous soil stratification with crushed debris. In this regard, the effect of receiver layout and key data acquisition parameters (offset distance, far-field and near-field phenomena, receiver spacing, total receiver spread length and numbers of deployed receivers) on the resolution of the obtained dispersion image is elucidated. The influence of the signal pre-processing parameters such as sampling frequency, sampling length, filtering and muting, is also highlighted. The effect of source characteristics on the quality of the recorded wavefield has been elaborated, and in this context, the enhancement of the resolution of dispersion image by stacking has also been discussed. Based on the outcomes, it is recommended that the sampling frequency and sampling time should be optimal so that complete propagation of wave phases through the geophone array is achieved, while at the same time, the time-stamp suffers minimum noise adulteration. Combined application of band-pass filtering and optimal temporal muting is required to obtain best resolution dispersion images. For sites having predominantly softer soils at the shallower depths (Vs,30 < 100 m/s), an optimal offset of 4–6 m with an inter-receiver spacing of 1 m produces the best resolution dispersion images. The resolution of the dispersion image at the lower frequencies can be increased either by using a heavier source, or adopting multiple stacking of dispersion images generated from low energy impacts.

Keywords

MASW Dispersion image Resolution Sampling frequency Stack Filtering 

References

  1. 1.
    Park CB, Miller RD, Xia J (1998) Imaging dispersion curves of surface waves on multi-channel record. In: Expanded Abstract: Society of Exploration Geophysics, pp 1377–1380Google Scholar
  2. 2.
    Miller RD, Xia J, Park CB, Ivanov J (1999) Multichannel analysis of surface waves to map bedrock. Lead Edge 18:1392–1396CrossRefGoogle Scholar
  3. 3.
    Xia J, Miller RD, Park CB (1999) Estimation of near-surface shear-wave velocity by inversion of Rayleigh waves. Geophysics 64(3):691–700CrossRefGoogle Scholar
  4. 4.
    Yilmaz O and Eser M 2002 A unified workflow for engineering seismology. In: 72nd Annual Meeting SEG Salt Lake City UT, pp 1496–1499Google Scholar
  5. 5.
    Tian G, Steeples DW, Xia J, Miller RD, Spikes KT, Ralston MD (2003) Multichannel analysis of surface wave method with the autojuggie. Soil Dyn Earthq Eng 23:243–247CrossRefGoogle Scholar
  6. 6.
    Tian G, Steeples DW, Xia J, Spikes KT (2003) Useful resorting in surface wave method with the autojuggie. Geophysics 68:1906–1908CrossRefGoogle Scholar
  7. 7.
    Beaty KS, Schmitt DR, Sacchi M (2002) Simulated annealing inversion of multimode rayleigh wave dispersion curves for geological structure. Geophys J Int 151(2):622–631CrossRefGoogle Scholar
  8. 8.
    Liu J, Xia J, Luo Y, Li X, Xu S (2004) Extracting transient rayleigh wave and its application in detecting quality of highway roadbed. Progress in Environmental and Engineering Geophysics. In: Proceedings of the International Conference on Environmental and Engineering Geophysics (ICEEG)Google Scholar
  9. 9.
    Lin CP, Chang CC, Chang TS (2004) The use of MASW method in the assessment of soil liquefaction potential. Soil Dyn Earthq Eng 24:689–698CrossRefGoogle Scholar
  10. 10.
    Zhang SX, Chan LS, Xia J (2004) The selection of field acquisition parameters for dispersion images from multichannel surface wave data. Pure Appl Geophys 161:185–201CrossRefGoogle Scholar
  11. 11.
    Dikmen U, Arisoy M, Akkaya I (2010) Offset and linear spread geometry in the MASW method. J Geophys Eng 7:211–222CrossRefGoogle Scholar
  12. 12.
    Taipodia J, Baglari D, Dey A (2017) Resolution of dispersion image obtained from active MASW survey. Disaster Adv 10(11):34–45Google Scholar
  13. 13.
    Sauvin G, Vanneste M, O’Connor P, O’Rourke S, O’Connell Y, Lombard T, Long M (2016) Impact of data acquisition parameters and processing techniques on S-wave velocity profiles from MASW-Examples from Trondheim, Norway. In: Proceedings of the 17th Nordic Geotechnical Meeting Challenges in Nordic Geotechnic, Reykjavik, pp 1–10Google Scholar
  14. 14.
    Kanli AI, Tildy P, Pronay Z, Pinar A, Hermann L (2006) Vs30 mapping and soil classification for seismic site effect evaluation in Dinar region, SW Turkey. Geophys J Int 165:223–235CrossRefGoogle Scholar
  15. 15.
    Gosar A, Stopar R, Roser J (2008) Comparative test of active and passive multichannel analysis of surface waves (MASW) methods and microtremor HVSR method. RMZ Mater Geoenviron 55(1):41–66Google Scholar
  16. 16.
    Eker AM, Akgun H, Koçkar MK (2012) Local site characterization and seismic zonation study by utilizing active and passive surface wave methods—a case study for the northern side of Ankara, Turkey. Eng Geol 151:64–81CrossRefGoogle Scholar
  17. 17.
    Dziewonski A, Bloch S, Landisman M (1969) A technique for the analysis of transient seismic signals. Bull Seismol Soc Am 59(1):427–444Google Scholar
  18. 18.
    Mitchell BJ (1973) Radiation and attenuation of rayleigh waves from the southeastern Missouri earthquake of October 21 1965. J Geophys Res 78:886–899CrossRefGoogle Scholar
  19. 19.
    Ivanov J, Park CB, Miller RD, Xia J (2005) Analysing and filtering surface-wave energy by muting shot gathers. J Environ Eng Geophys 10:307–322CrossRefGoogle Scholar
  20. 20.
    Park CB, Miller RD, Miura H (2002) Optimum field parameters of an MASW survey. In: Expanded Abstract: Japanese Society of Exploration Geophysics, pp 1–6Google Scholar
  21. 21.
    Park CB, Miller RD, Xia J (1999) Multichannel analysis of surface waves. Geophysics 64(3):800–808CrossRefGoogle Scholar
  22. 22.
    Park CB (2011) Imaging dispersion of MASW data- full vs. selective offset scheme. J Environ Eng Geophys 16(1):13–23CrossRefGoogle Scholar
  23. 23.
    Stokoe KH II, Wright SG, Bay JA, Roesset JM (1994) Characterization of geotechnical sites by SASW method in geophysical characterization of sites: ISSMFE Technical Committee#10. Oxford Publishers, Oxford, pp 15–25Google Scholar
  24. 24.
    Xu Y, Xia J, Miller RD (2006) Quantitative estimation of minimum offset for multichannel surface-wave survey with actively exciting source. J Appl Geophys 59:117–125CrossRefGoogle Scholar
  25. 25.
    Moro DG, Pipan M, Forte E, Finetti I (2003) Determination of Rayleigh wave dispersion curves for near surface applications in unconsolidated sediments. In: Expanded Abstracts: Society of Exploration Geophysicists, pp 1247–1250Google Scholar
  26. 26.
    Shtivelman V (2003) Using surface waves for studying the shallow subsurface. Bollettino di Geofisica Teorica ed Applicata 44:223–236Google Scholar
  27. 27.
    Park CB, Miller RD, Xia J (2001) Offset and resolution of dispersion curve in multichannel analysis of surface waves. In: Proceedings of SAGEEP SSM1-SSM, 4: 1–6Google Scholar
  28. 28.
    Xia J, Xu Y, Miller RD (2007) Generating an image of dispersive energy by frequency decomposition and slant stacking. Pure Appl Geophys 164:941–956CrossRefGoogle Scholar
  29. 29.
    Park CB, Miller RD, Xia J, Ivanov J (2007) Multichannel analysis of surface waves (MASW)—active and passive methods. Lead Edge 26:60–64CrossRefGoogle Scholar
  30. 30.
    Wood CM, Cox BR (2012) A comparison of MASW dispersion uncertainty and bias for impact and harmonic sources. In: Geocongress, ASCE, pp 2756–2765Google Scholar
  31. 31.
    Srinivas GS, Goverdhan K, Narsimhulu CH, Seshunarayana T (2014) Estimation of shear wave velocity in drifts using multichannel analysis of surface wave (MASW) technique—a case study from Jammu & Kashmir, India. J Geol Soc India 84:174–180CrossRefGoogle Scholar
  32. 32.
    Stephenson WJ, Louie JN, Pullammanappallil S, Williams RA, Odum JK (2005) Blind Shear-wave velocity comparison of ReMi and MASW results with boreholes to 200 m in Santa Clara Valley: implications for earthquake ground-motion assessment. Bull Seismol Soc Am 95(6):2506–2516CrossRefGoogle Scholar
  33. 33.
    Park CB, Miller RD, Xia J, Ivanov J (2002) Seismic characterization of geotechnical sites by Multichannel Analysis of Surfaces Waves (MASW) method. In: KGS Experiences in Seismic Surveying, pp 1–16Google Scholar
  34. 34.
    Park CB, Miller RD, Ryden N, Xia J, Ivanov J (2005) Combined use of active and passive surface waves. J Environ Eng Geophys 10(5):323–334CrossRefGoogle Scholar
  35. 35.
    Xia J, Miller RD, Park CB, Ivanov J (2000) Construction of 2-D vertical shear-wave velocity field by the multichannel analysis of surface wave technique. In: Proceedings of the Symposium on the application of geophysics to engineering and environmental problems, pp 1197–1206Google Scholar
  36. 36.
    Kaufmann RD, Xia J, Benson RC, Yuhr LB, Casto DW, Park CB (2005) Evaluation of MASW data acquired with a hydrophone streamer in a shallow marine environment. J Environ Eng Geophys 10:87–98CrossRefGoogle Scholar
  37. 37.
    Neducza B (2007) Stacking of surface waves. Geophysics 72(2):51–58CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Civil EngineeringNIT Arunachal PradeshPapum PareIndia
  2. 2.Department of Civil EngineeringJorhat Institute of Science and TechnologyJorhatIndia
  3. 3.Department of Civil EngineeringIndian Institute of Technology GuwahatiGuwahatiIndia

Personalised recommendations