Estimation of Sediment Incipient Velocity Using B-Mode Ultrasound Imaging Technique

被引:2
|
作者
SONG Huan [1 ]
ZOU Xianjian [1 ]
机构
[1] Electronic Information School, Wuhan University
基金
中央高校基本科研业务费专项资金资助;
关键词
sediment movement; incipient velocity; B-mode ultrasound; imaging technique; particle size;
D O I
暂无
中图分类号
TV142 [泥沙运动];
学科分类号
摘要
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.
引用
收藏
页码:180 / 184
页数:5
相关论文
共 50 条
  • [1] A method of measuring sediment incipient velocity based on B-scan ultrasound imaging technique
    Ma, Zhimin
    Zou, Xianjian
    Zhao, Xiaohong
    Xu, Ming
    Tao, Weiliang
    Shuikexue Jinzhan/Advances in Water Science, 2015, 26 (01): : 59 - 65
  • [2] Velocity vector estimation in synthetic aperture flow and B-MODE imaging
    Jensen, JA
    2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 AND 2, 2004, : 33 - 36
  • [3] Relationships between B-mode ultrasound imaging signals and suspended sediment concentrations
    Zou, Xianjian
    Song, Huan
    Wang, Chuanying
    Ma, Zhimin
    MEASUREMENT, 2016, 92 : 34 - 41
  • [4] A New Nonlinear Compounding Technique for Ultrasound B-mode Medical Imaging
    Moubark, Asraf Mohamed
    Nie, Luzhen
    Cowell, David M. J.
    Md, Sawal Hamid
    Freear, Steven
    2019 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2019, : 1021 - 1024
  • [5] B-Mode Ultrasound Imaging System Using Raspberry Pi
    Medeiros, R. A. C.
    Assef, A. A.
    de Oliveira, J.
    Maia, J. M.
    Costa, E. T.
    XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, 2022, : 909 - 916
  • [6] Experimental measurements of sediment incipient velocity by using B-scan ultrasound imaging device in the water channel
    Zou, Xianjian
    Wang, Chuanying
    Song, Huan
    Han, Zengqiang
    Ma, Zhimin
    MEASUREMENT, 2017, 98 : 228 - 236
  • [7] Measuring Low Sediment Concentrations and Vertical Distributions Based on B-Mode Ultrasound Imaging
    Ma, Zhimin
    Zou, Xianjian
    Su, Shan
    2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 1393 - 1397
  • [8] EVALUATION OF ATHEROSCLEROSIS WITH B-MODE ULTRASOUND IMAGING
    PIGNOLI, P
    LONGO, T
    JOURNAL OF NUCLEAR MEDICINE AND ALLIED SCIENCES, 1988, 32 (03): : 166 - 173
  • [9] COMPRESSED BEAMFORMING APPLIED TO B-MODE ULTRASOUND IMAGING
    Wagner, Noam
    Eldar, Yonina C.
    Feuer, Arie
    Friedman, Zvi
    2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2012, : 1080 - 1083
  • [10] Optimized GPU Framework for Ultrasound B-mode Imaging
    Xia, Chunlan
    Zhao, Anyuan
    Liu, Dong C.
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,