Probabilistic description of grain resistance from simultaneous flow field and grain motion measurements

Andrea Bottacin Busolin, Simon J Tait, Andrea Marion, Amir Chegini, Matteo Tregnaghi

    Research output: Contribution to journalArticlepeer-review


    Experiments were carried out using a mobile gravel bed placed in a tilting flume with a modified particle image velocimetry (PIV) system. Individual grain movements were surveyed using data from time series of images. Near-bed velocity flow field measurements were made simultaneously above the same area of the sediment surface by applying cross-correlation techniques to the collected plan view images. Statistics of grain motions were collected through a semiautomatic procedure. Significant changes in the flow field were observed in the proximity of the entrained or deposited particles. A strong correlation is shown between the changes in the local streamwise and lateral velocity and the movement of the grains. The theory of Grass is revisited and developed based on the experimental results. The probability distribution of individual grain resistance has been derived from the statistics of the near-bed velocity field and of the entrainment risk.
    Original languageEnglish
    JournalWater Resources Research
    Issue number9
    Publication statusPublished - 2008


    • 1815 Erosion
    • 1862 Sediment transport
    • 1894 Instruments and techniques: modeling
    • Entrainment risk
    • grain motion
    • near-bed flow field
    • particle image velocimetry
    • probabilistic methods


    Dive into the research topics of 'Probabilistic description of grain resistance from simultaneous flow field and grain motion measurements'. Together they form a unique fingerprint.

    Cite this