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Estimation of sediment incipient velocity using B-mode ultrasound imaging technique

  • Engineering Science
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

Sediment incipient velocity (SIV) is a vital parameter for sediment research and river dynamics. This paper describes a novel method of estimating SIV based on the known flow velocity in the movable-bed model experiment. In this method, we use B-mode ultrasound imaging technique to get video images of moving particles and topography under water. By statistical analysis of video images, the relationship between the average number of imaging particles and flow velocity is obtained. The relationship between the change rate of average number and flow velocity is analyzed in sediment incipient process. These relationships are used to estimate the SIV. Lastly, the changed topography verifies the estimated velocity. The results show there is a sudden change in these relationships which can be used to estimate the SIV with high resolution by using a B-mode ultrasound device. The estimated SIV of plastic sands (particle size is about 0.25 mm) is 3.64 cm · s−1 and the estimated SIV of natural sands (particle size is about 0.25 mm) is 5.47 cm · s−1 in the same condition.

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References

  1. Crookston B M, Tullis B P M. Incipient motion of gravel in a bottomless arch culvert [J]. International Journal of Sediment Research, 2011, 26(1): 15–26.

    Article  Google Scholar 

  2. Fu X D, Wang G Q, Kang Z C, et al. Planar velocity distribution of viscous debris flow at Jiangjia Ravine, Yunnan, China: A field measurement using two radar velocimeters [J]. Wuhan University Journal of Natural Sciences, 2007, 12(4): 583–587.

    Article  Google Scholar 

  3. Lu Y, Lu Y J, Chiew Y M. Incipient motion of cohesionless sediments on riverbanks with ground water injection [J]. International Journal of Sediment Research, 2012, 27(1): 111–119.

    Article  Google Scholar 

  4. Dou G R. Incipient motion of coarse and fine sediment [J]. Journal of Sediment Research, 1999, (6): 1–9 (Ch).

    Google Scholar 

  5. Zhang H W. A unified formula for incipient velocity of sediment[J]. Journal of Hydraulic Engineering, 2012, 43(12): 1387–1396 (Ch).

    Google Scholar 

  6. Xu H T, Lu J Y, Liu X B. Non-uniform sediment incipient velocity [J]. International Journal of Sediment Research, 2008, 23(1): 69–75.

    Article  CAS  Google Scholar 

  7. Kumar B, Srinivasulu G, Rao A R. Incipient motion design of sand bed channels affected by bed suction [J]. Computers and Electronics in Agriculture, 2010, 74(2): 321–328.

    Article  Google Scholar 

  8. Ma Z M, Zou X J, Zhao X H, et al. The measurement of low sediment concentration based on B-mode ultrasound images [J]. Journal of Basic Science and Engineering, 2013, 21(4): 796–803 (Ch).

    Google Scholar 

  9. Crapper M, Bruce T, Gouble C. Flow field visualization of sediment-laden flow using ultrasonic imaging [J]. Dynamics of Atmospheres and Oceans, 2000, 31(4): 233–245.

    Article  Google Scholar 

  10. Bamberger J A, Greenwood M S. Using ultrasonic attenuation to monitor slurry mixing in real time [J]. Ultrasonics, 2004, 42(9): 145–148.

    Article  CAS  PubMed  Google Scholar 

  11. Zhou B, Fraser K H, Poelma C, et al. Ultrasound imaging velocimetry: Effect of beam sweeping on velocity estimation [J]. Ultrasound in Medicine & Biology, 2013, 39(9): 1672–1681.

    Article  Google Scholar 

  12. Zou X J, Ma Z M, Zhao X H, et al. B-scan ultrasound imaging measurement of suspended sediment concentration and its vertical distribution [EB/OL]. [2014-11-01]. http://iopscience. iop.org/0957-0233/25/11/115303/pdf/0957-0233_25_11_115303.pdf.

  13. Wang Y G, Hu C H, Zhu B S. Study on formula of incipient velocity of sediment in model test [J]. Journal of Hydraulic Engineering, 2007, 38(5): 518–523 (Ch).

    CAS  Google Scholar 

  14. Quan L, Zhang D, Yang Y, et al. Segmentation of tumor ultrasound image via region-based Ncut method [J]. Wuhan University Journal of Natural Sciences, 2013, 18(4): 313–318.

    Article  Google Scholar 

  15. Motamedi A, Afzalimehr H, Singh V. Estimation of friction factor in open channels [J]. Journal of Hydrologic Engineering, 2010, 15(3): 249–254.

    Article  Google Scholar 

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Authors and Affiliations

  1. Electronic Information School, Wuhan University, Wuhan, 430072, Hubei, China

    Huan Song & Xianjian Zou

Authors
  1. Huan Song
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  2. Xianjian Zou
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Correspondence to Xianjian Zou.

Additional information

Foundation item: Supported by the Fundamental Research Funds for the Central Universities (2014212020205)

Biography: SONG Huan, female, Ph. D. candidate, research direction: image signal analysis and processing.

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Song, H., Zou, X. Estimation of sediment incipient velocity using B-mode ultrasound imaging technique. Wuhan Univ. J. Nat. Sci. 20, 180–184 (2015). https://doi.org/10.1007/s11859-015-1078-9

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  • DOI: https://doi.org/10.1007/s11859-015-1078-9

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