• Aberle, J., C. D. Rennie, D. M. Admiraal, and M. Muste, 2017: Instrumentation and Measurement Techniques. Vol. II, Experimental Hydraulics, Methods, Instrumentation, Data Processing and Management, CRC Press, 906 pp.

    • Crossref
    • Export Citation
  • Araujo, M. A. V. C., B. J. Araujo, and B. Greenwood, 2019: Acoustic Doppler velocimetry measurements of flow over a backward-facing step. J. Hydraul. Res., 58, 850858, https://doi.org/10.1080/00221686.2019.1671521.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Darisse, A., J. Lemay, and A. Benaïssa, 2015: Budgets of turbulent kinetic energy, Reynolds stresses, variance of temperature fluctuations and turbulent heat fluxes in a round jet. J. Fluid Mech., 774, 95142, https://doi.org/10.1017/jfm.2015.245.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dimotakis, P. E., 2000: The mixing transition in turbulent flows. J. Fluid Mech., 409, 6998, https://doi.org/10.1017/S0022112099007946.

  • Dombroski, D. E., and J. P. Crimaldi, 2007: The accuracy of acoustic Doppler velocimetry (ADV) measurements in turbulent boundary layer flows over a smooth bed. Limnol. Oceanogr. Methods, 5, 2333, https://doi.org/10.4319/lom.2007.5.23.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doroudian, B., F. Bagherimiyab, and U. Lemmin, 2010: Improving the accuracy of four-receiver acoustic Doppler velocimeter (ADV) measurements in turbulent boundary layer flows. Limnol. Oceanogr. Methods, 8, 575591, https://doi.org/10.4319/lom.2010.8.0575.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Garbini, J. L., F. K. Forster, and J. E. Jorgensen, 1982: Measurement of fluid turbulence based on pulsed ultrasound techniques. Part I. Analysis. J. Fluid Mech., 118, 445470, https://doi.org/10.1017/S0022112082001153.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goring, D. G., and V. I. Nikora, 2002: Despiking acoustic Doppler velocimeter data. J. Hydraul. Eng., 128, 117126, https://doi.org/10.1061/(ASCE)0733-9429(2002)128:1(117).

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Huang, J. H., H. Ma, J. Guo, D. Dai, and F. Qiao, 2018: Calculation of turbulent dissipation rate with acoustic Doppler velocimeter. Limnol. Oceanogr. Methods, 16, 265272, https://doi.org/10.1002/lom3.10243.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hurther, D., and U. Lemmin, 2001: A correction method for turbulence measurements with a 3D acoustic Doppler velocity profiler. J. Atmos. Oceanic Technol., 18, 446458, https://doi.org/10.1175/1520-0426(2001)018<0446:ACMFTM>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hurther, D., and U. Lemmin, 2008: Improved turbulence profiling with field-adapted acoustic Doppler velocimeters using a bifrequency Doppler noise suppression method. J. Atmos. Oceanic Technol., 25, 452463, https://doi.org/10.1175/2007JTECHO512.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hussein, H. J., S. P. Capp, and W. K. George, 1994: Velocity-measurements in a high-Reynolds-number, momentum-conserving, axisymmetrical, turbulent jet. J. Fluid Mech., 258, 3175, https://doi.org/10.1017/S002211209400323X.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Khorsandi, B., L. Mydlarski, and S. Gaskin, 2012: Noise in turbulence measurements using acoustic Doppler velocimetry. J. Hydraul. Eng., 138, 829838, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000589.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Khorsandi, B., S. Gaskin, and L. Mydlarski, 2013: Effect of background turbulence on an axisymmetric turbulent jet. J. Fluid Mech., 736, 250286, https://doi.org/10.1017/jfm.2013.465.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lhermitte, R., and U. Lemmin, 1994: Open-channel flow and turbulence measurement by high-resolution Doppler sonar. J. Atmos. Oceanic Technol., 11, 12951308, https://doi.org/10.1175/1520-0426(1994)011<1295:OCFATM>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, D. X., M. Muste, and X. K. Wang, 2008: Quantification of the bias error induced by velocity gradients. Meas. Sci. Technol., 19, 015402, https://doi.org/10.1088/0957-0233/19/1/015402.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lohrmann, A., R. Cabrera, and N. C. Kraus, 1994: Acoustic-Doppler velocimeter (ADV) for laboratory use. Fundamentals and Advancements in Hydraulic Measurements and Experimentation, ASCE, 351–365.

  • McLelland, S. J., and A. P. Nicholas, 2000: A new method for evaluating errors in a high-frequency ADV measurements. Hydrol. Processes, 14, 351366, https://doi.org/10.1002/(SICI)1099-1085(20000215)14:2<351::AID-HYP963>3.0.CO;2-K.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Moeini, M., B. Khorsandi, and L. Mydlarski, 2020a: Effect of acoustic Doppler velocimeter (ADV) sampling frequency on statistical measurements of turbulent axisymmetric jets: An attempt to improve ADV measurements. J. Hydraul. Eng., 146, 04020048, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001767.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Moeini, M., B. Khorsandi, and L. Mydlarski, 2020b: Effect of coflow turbulence on the dynamics and mixing of a non-buoyant turbulent jet. J. Hydraul. Eng., 147, 04020088, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001830.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nikora, V. I., and D. G. Goring, 1998: ADV measurements of turbulence: Can we improve their interpretation? J. Hydraul. Eng., 124, 630634, https://doi.org/10.1061/(ASCE)0733-9429(1998)124:6(630).

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nortek, 2018: The comprehensive manual for velocimeters. Nortek, 119 pp., https://www.nortekgroup.com/assets/software/N3015-030-Comprehensive-Manual-Velocimeters_1118.pdf.

  • Panchapakesan, N. R., and J. L. Lumley, 1993: Turbulence measurements in axisymmetric jets of air and helium. Part I. Air jet. J. Fluid Mech., 246, 197223, https://doi.org/10.1017/S0022112093000096.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pope, S. B., 2000: Turbulent Flows. Cambridge University Press, 771 pp.

  • Quaresma, A. L., R. M. L. Ferreira, and A. N. Pinheiro, 2017: Comparative analysis of particle image velocimetry and acoustic Doppler velocimetry in relation to a pool-type fishway flow. J. Hydraul. Res., 55, 582591, https://doi.org/10.1080/00221686.2016.1275051.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tennekes, H., and J. L. Lumley, 1972: A First Course in Turbulence. MIT Press, 300 pp.

  • Thomas, R. E., L. Schindfessel, S. J. McLelland, S. Creëlle, and T. De Mulder, 2017: Bias in mean velocities and noise in variances and covariances measured using a multistatic acoustic profiler: The Nortek Vectrino Profiler. Meas. Sci. Technol., 28, 075302, https://doi.org/10.1088/1361-6501/aa7273.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Valero, D., and D. B. Bung, 2018: Vectrino profiler spatial filtering for shear flows based on the mean velocity gradient equation. J. Hydraul. Eng., 144, 04018037, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001485.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Voulgaris, G., and J. H. Trowbridge, 1998: Evaluation of the acoustic Doppler velocimeter (ADV) for turbulence measurements. J. Atmos. Oceanic Technol., 15, 272289, https://doi.org/10.1175/1520-0426(1998)015<0272:EOTADV>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wahl, T. L., 2003: Discussion of “Despiking acoustic Doppler velocimeter data” by Derek G. Goring and Vladimir I. Nikora. J. Hydraul. Eng., 129, 484487, https://doi.org/10.1061/(ASCE)0733-9429(2003)129:6(484).

    • Crossref
    • Search Google Scholar
    • Export Citation
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Effect of Acoustic Doppler Velocimeter Sampling Volume Size on Measurements of Turbulence

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  • 1 Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
  • 2 Department of Mechanical Engineering, McGill University, Montreal, Quebec, Canada
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Abstract

The relatively large sampling volume of acoustic Doppler velocimeters (ADVs) is expected to influence their measurement of turbulence. To study this effect, a series of experiments using different sampling volume sizes was conducted in an axisymmetric turbulent jet. The results show that the mean velocities are not significantly affected by the size of the sampling volume. On the other hand, reducing the sampling volume size results in an increase in the variances of the u and υ velocities, while its effect on the variance of the w velocity is negligible. Application of a noise-reduction method to the data renders the velocity variances nearly independent of sampling volume size, suggesting that the difference was mainly due to Doppler noise. The principal conclusion of this work is, therefore, that—as long as the characteristic length of sampling volume is much smaller than the integral length scale of flow—increasing the sampling volume size (i.e., increasing spatial averaging over highly correlated scatterers) can reduce Doppler noise and result in more accurate measurements of the velocity variances. Application of noise-reduction methods to the data is found to be especially important when the sampling volume size is reduced to capture smaller scales, or for near-boundary measurements. Furthermore, noise due to mean velocity shear, even at the largest velocity gradient along the jet radial profile, is found to be negligible in the present work.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Babak Khorsandi, b.khorsandi@aut.ac.ir

Abstract

The relatively large sampling volume of acoustic Doppler velocimeters (ADVs) is expected to influence their measurement of turbulence. To study this effect, a series of experiments using different sampling volume sizes was conducted in an axisymmetric turbulent jet. The results show that the mean velocities are not significantly affected by the size of the sampling volume. On the other hand, reducing the sampling volume size results in an increase in the variances of the u and υ velocities, while its effect on the variance of the w velocity is negligible. Application of a noise-reduction method to the data renders the velocity variances nearly independent of sampling volume size, suggesting that the difference was mainly due to Doppler noise. The principal conclusion of this work is, therefore, that—as long as the characteristic length of sampling volume is much smaller than the integral length scale of flow—increasing the sampling volume size (i.e., increasing spatial averaging over highly correlated scatterers) can reduce Doppler noise and result in more accurate measurements of the velocity variances. Application of noise-reduction methods to the data is found to be especially important when the sampling volume size is reduced to capture smaller scales, or for near-boundary measurements. Furthermore, noise due to mean velocity shear, even at the largest velocity gradient along the jet radial profile, is found to be negligible in the present work.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Babak Khorsandi, b.khorsandi@aut.ac.ir
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