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Subsurface profiling of a region in Jamshedpur city using active MASW: a case study

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Abstract

This paper deals specifically with the active MASW method, which was applied for subsurface exploration of a region in Jamshedpur city, India, to study the various lithological and stiffness properties of subsurface materials. The study investigates the impact of data acquisition parameters on obtaining a high-resolution dispersion image, based on the ongoing MASW survey. A linear array of 24 numbers of 4.5 Hz geophones was used to collect raw wavefield traces generated by a 10 kg sledgehammer. Wavefields were regulated using a range of sampling frequencies (500 Hz, 1000 Hz, 2000 Hz, 4000 Hz, and 8000 Hz), as well as offset distances (1, 2 m, 4 m, 6 m, 8 m, 10 m, and 12 m) and inter receiver spacing (1 m and 2 m). Based on the results, the best data collection parameters for a high signal-to-noise ratio were determined to be: 1000 Hz sampling frequency, 8 m offset distance, and 1 m inter receiver spacing, resulting in a sufficient resolution dispersion image. Moreover, 1D and 2D shear-wave velocity profiles for the chosen site were derived. The stiff silty clay soil (up to a depth of 5 m) and dense to very dense weathered mica schist was found (at variable locations and depths from 8 to 30 m or beyond). The average Vs30 is 402 m/s, and the site is classed as Type C as per NEHRP Site Classification. The shear-wave velocity profiles show a high level of agreement with borehole data, demonstrating the effectiveness of the non-invasive technology for sub-surface investigation.

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References

  • Anderson JG, Lee Y, Zeng Y, Day S (1996) Control of strong motion by the upper 30 meters. Bull Seismol Soc Am 86:1749–1759

    Article  Google Scholar 

  • Baker GS, Steeples DW, Drake M (1998) Muting the noise cone in near-surface reflection data: an example from southeastern Kansas. Geophysics 63:1332–1338

    Article  Google Scholar 

  • Beaty KS, Schmitt DR, Sacchi M (2002) Simulated annealing inversion of multimode Rayleigh wave dispersion curves for geological structure. Geophys J Int 151:622–631

    Article  Google Scholar 

  • Chandran D, Anbazhagan P (2017) Subsurface profiling using integrated geophysical methods for 2D site response analysis in Bangalore city, India: a new approach. J Geophys Eng 14:1300–1314

    Article  Google Scholar 

  • Dikmen U, Arisoy M, Akkaya I (2010) Offset and linear spread geometry in the MASW method. J Geophys Eng 7:211–222

    Article  Google Scholar 

  • Dobry R, Borcherdt RD, Crouse CB, Idriss IM, Joyner WB, Martin GR, Power MS, Rinne EE, Seed RB (2000) New site coefficients and site classification system used in recent building seismic code provisions. Earthq Spectra 16:41–67

    Article  Google Scholar 

  • Dzienwonski A, Bloch S, Landisman M (1969) A technique for the analysis of transient seismic signals. Bull Seismol Soc Am 59:427–444

    Article  Google Scholar 

  • Eker AM, Akgün H, Kockar 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 151:64–81

    Article  Google Scholar 

  • Foti S, Lai CG, Rix GJ, Strobbia C (2015) Surface wave methods for near- surface site characterization, 1st edn. CRC Press, Boca Raton

    Google Scholar 

  • Foti S, Hollender F, Garofalo F et al (2018) Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project. Bull Earthquake Eng 16:2367–2420

    Article  Google Scholar 

  • Ganji V, Gucunski V, Nazarian S (1998) Automated inversion procedure for spectral analysis of surface waves. J Geotech Geoenviron Eng, ASCE 124:757–770

    Article  Google Scholar 

  • 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 55:41–66

    Google Scholar 

  • Grandjean G, Bitri A (2006) 2M-SASW: Multifold multichannel seismic inversion of local dispersion of Rayleigh waves in laterally heterogeneous subsurface: application to the Super-Sauze earthflow France. Near Surf Geophys 4:367–375

    Article  Google Scholar 

  • Gupta RK, Agrawal M, Pal SK, Kumar R, Srivastava S (2019) Site characterization through combined analysis of seismic and electrical resistivity data at a site of Dhanbad, Jharkhand India. Environ Earth Sci 78:226

    Article  Google Scholar 

  • Imai T, Yoshimura Y (1970) Elastic wave velocity and soil properties in soft soil. Tsuchito-Kiso 18:17–22

    Google Scholar 

  • Ivanov J, Park CB et al (2001) Modal separation before dispersion curve extraction by MASW method. SAGEEP Denver, Colorado.

  • Ivanov J, Park CB, Miller RD, Xia J (2005) Analysing and filtering surface- wave energy by muting shot gathers. J Environ Eng Geophys 10:307–322

    Article  Google Scholar 

  • Joshi A, Bhardwaj P (2018) Site characterisation using Multi-channel Analysis of Surface Waves at various locations in Kumaon Himalayas. India J Ind Geophys Union 22:265–278

    Google Scholar 

  • Kanli AI, Tildy P, Pronay Z, Pinar A, Hermann L (2006a) Vs30 mapping and soil classification for seismic site effect evaluation in Dinar region SW Turkey. Geophys J Int 165:223–235

    Article  Google Scholar 

  • Kanli AI, Tildy P, Pronay Z, Pinar A, Hermann L (2006b) Vs30 mapping and soil classification for seismic site effect evaluation in Dinar region. SW Turkey Geophys J Int 165:223–235

    Article  Google Scholar 

  • Lai CG, Rix GJ, Foti S, Roma V (2002) Simultaneous measurement and inversion of surface wave dispersion and attenuation curves. Soil Dyn Earthq Eng 22:923–930

    Article  Google Scholar 

  • Lin CP, Chang CC, Chang TS (2004) The use of MASW method in the assessment of soil liquefaction potential. Soil Dynamics Earthquake Engineering 24:689–698

    Article  Google Scholar 

  • 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 Environment. and Engineering Geophysics. Proceedings of the International Conference on Environment and Engineering Geophysics (ICEEG).

  • Louie JN (2001) Faster, better: shear-wave velocity to 100 meters depth from refraction microtremor arrays. Bull Seismol Soc Am 91:347–364

    Article  Google Scholar 

  • Lu L, Zhang B (2006) Inversion of Rayleigh waves using a genetic algorithm in the presence of a low-velocity layer. Acoust Phys 52:701–712

    Article  Google Scholar 

  • Mainsant G, Jongmans D, Chambon G, Larosen E, Baillet L (2012) Shear-wave velocity as an indicator for rheological changes in clay materials: lessons from laboratory experiments. Geophys Res Lett 39:19301

    Article  Google Scholar 

  • Menke W, Abbott D (1989) Geophysical Theory. Columbia University Press, New York

    Google Scholar 

  • Miller RD, Xia J, Park CB, Ivanov JM (1999) Multichannel analysis of surface waves to map bedrock. Lead Edge 18:1392–1396

    Article  Google Scholar 

  • Mitchell BJ (1973) Radiation and attenuation of Rayleigh waves from the southeastern Missouri earthquake of October 21, 1965. J Geophys Res 78:886–899

    Article  Google Scholar 

  • Morlet J, Arensz G, Fourgeau F, Giard D (1982) Wave propagation and sampling theory-Part II: Sampling theory and complex waves. Geophysics 47:222–236

    Article  Google Scholar 

  • Moro G, Pipan M, Forte E, Finetti I (2003) Determination of Rayleigh wave dispersion curves for near surface applications in unconsolidated sediments. International Meeting of the Society of Exploration Geophysicists (Extended Abstracts). 1247–1250.

  • Park CB (2011) Imaging dispersion of MASW data-full vs. selective offset scheme. J Environ Eng Geophys 16:13–23

    Article  Google Scholar 

  • Park CB, Miller RD, Xia J (1998) Imaging dispersion curves of surface waves on multi-channel record. Proceedings of the 68th Annual International Meeting of Society of Exploration Geophysics. Expanded Abstract. 1377–1380.

  • Park CB, Miller RD, Xia J (1999) Multichannel analysis of surface waves. Geophysics 64:800–808

    Article  Google Scholar 

  • Park CB, Miller RD, Xia J (2001) Offset and resolution of dispersion curve in Multichannel analysis of surface waves (MASW). Proceeding of the SAGEEP. SSM4. 1–6.

  • Park CB, Miller RD, Miura H (2002) Optimum field parameters of an MASW survey. Japanese Society of Exploration Geophysics (SEG-J), Extended Abstracts. 1–6.

  • Park CB, Miller RD, Xia J, Ivanov J (2007) Multichannel analysis of surface waves (MASW)—active and passive methods. Lead Edge 26:01–06

    Article  Google Scholar 

  • Picozzi M, Strollo A, Parolai S, Durukal E, Ozel O, Karabulut S, Zschau J, Erdik M (2009) Site characterization by seismic noise in Istanbul. Turkey Soil Dyn Earthq Eng 29:469–482

    Article  Google Scholar 

  • 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. Proceedings of the 17th Nordic Geotechnical Meeting Challenges in Nordic Geotechnic, Reykjavik. 1- 10.

  • Schultz PS, Claerbout JF (1978) Velocity estimation and downward continuation by wavefront synthesis. Geophysics 43:691–714

    Article  Google Scholar 

  • Socco LV, Boiero D, Foti S, Wisen R (2009) Laterally constrained inversion of ground roll from seismic reflection records. Geophysics 74:35–45

    Article  Google Scholar 

  • Socco LV, Foti S, Boiero D (2010) Surface-wave analysis for building near-surface velocity models - Established approaches and new perspectives. Geophysics 75:75A83

    Article  Google Scholar 

  • Song X, Gu H, Liu J, Zhang X (2007) Estimation of shallow subsurface shear- wave velocity by inverting fundamental and higher-model Rayleigh waves. Soil Dyn Earthq Eng 27:599–607

    Article  Google Scholar 

  • Srinivas GS, Govardhan 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 84:174–180

    Article  Google Scholar 

  • Srivastava LS, Tipnis RS, Jhingran UN (1971) A note on seismo-tectonics of Chotanagpur Plateau. Paper No. 109. Bull ISET 8:96–105

    Google Scholar 

  • Stokoe II KH, Wright SG, Bay JA, Roesset JM (1994) Characterization of geotechnical sites by SASW method, in Geophysical characterization of sites. ISSMFE Technical Committee#10 by R. D Woods, Oxford Publishers. 15–25.

  • Taipodia J, Dey A, Baglari D (2018) Influence of data acquisition and signal preprocessing parameters on the resolution of dispersion image from active MASW survey. J Geophys Eng 15:1310–1326

    Article  Google Scholar 

  • Tian G, Steeples DW, Xia J, Miller RD, Spikes KT, Ralston MD (2003a) Multichannel analysis of surface wave method with the autojuggie. Soil Dyn Earthq Eng 23:243–247

    Article  Google Scholar 

  • Tian G, Steeples DW, Xia J, Spikes KT (2003b) Useful resorting in surface wave method with the autojuggie. Geophysics 68:1906–1908

    Article  Google Scholar 

  • Trupti S, Srinivas KNSSS, Kishore PP, Seshunarayana T (2012) Site characterization studies along coastal Andhra Pradesh-India using multichannel analysis of surface waves. J Appl Geophys 79:82–89

    Article  Google Scholar 

  • Wood CM, Cox BR (2012) A comparison of MASW dispersion uncertainty and bias for impact and harmonic sources. Proceedings of the GeoCongress, ASCE. 2756–2765.

  • Xia J, Miller RD, Park CB (1999) Estimation of near-surface shear-wave velocity by inversion of Rayleigh waves. Geophysics 64:691–700

    Article  Google Scholar 

  • Xia J, Miller RD, Park CB, Tian G (2003) Inversion of high frequency surface waves with fundamental and higher modes. J Appl Geophys 52:45–57

    Article  Google Scholar 

  • Xia J, Miller RD, Park CB, Ivanov J (2004) Utilization of high-frequency Rayleigh waves in near-surface geophysics. Lead Edge 23:753–759

    Article  Google Scholar 

  • Xia J, Miller RD, Xu Y, Luo Y, Chen C, Liu J, Ivanov J, Zeng C (2009) High-frequency Rayleigh-wave method. Journal of Earth Science 20:563–579

    Article  Google Scholar 

  • Xu Y, Xia J, Miller RD (2006) Quantitative estimation of minimum offset for multichannel surface-wave survey with actively exciting source. J Appl Geophys 59:117–125

    Article  Google Scholar 

  • Yilmaz O, Eser M (2002) A unified workflow for engineering seismology. Proceedings of the 72nd Annual Meeting SEG, Salt Lake City UT. 1496–1499.

  • Yuan D, Nazarian S (1993) Automated surface wave method: Inversion Technique. Journal of Geotechnical Engineering, ASCE 119:1112–1126

    Article  Google Scholar 

  • Zhang SX, Chan LS, Xia J (2004) The selection of field acquisition parameters for dispersion images from multichannel surface wave data. Pure Appl Geophys 161:185–201

    Article  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge the support provided by National Institute of Technology Jamshedpur, Jamshedpur, India, for conducting the research work. The support of the Department of Civil Engineering is also acknowledged.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Correspondence to Keshav K. Sharma.

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Edited by Prof. Gabriela Fernández Viejo (CO-EDITOR-IN-CHIEF).

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Imam, A., Sharma, K.K., Kumar, V. et al. Subsurface profiling of a region in Jamshedpur city using active MASW: a case study. Acta Geophys. 70, 1601–1617 (2022). https://doi.org/10.1007/s11600-022-00816-5

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