Probabilistic Entrainment Models

Probabilistic Entrainment Models is a computational framework in sediment transport science that characterizes the likelihood of particle dislodgement by incorporating stochastic representations of fluid forces and grain resistance, distinguishing it from deterministic approaches through its explicit treatment of uncertainty and variability in entrainment processes.

12

Publications

510

Citations

32

Authors

21

Institutions

Publications per year

2017–2026

1

Authors

32

  1. FW
    Fu‐Chun Wu

    National Taiwan University, Taiwan

    3 publications · 154 citations

    3

    h-index

  2. NC
    Nian‐Sheng Cheng

    Nanyang Technological University, Singapore

    2 publications · 160 citations

    2

    h-index

  3. AN
    A. N. Papanicolaou

    University of Iowa, United States

    2 publications · 40 citations

    2

    h-index

  4. MA
    Marwan A. Hassan

    University of British Columbia, Canada

    2 publications · 41 citations

    2

    h-index

  5. KY
    Kuo‐Hsin Yang

    National Taiwan University of Science and Technology, Taiwan

    2 publications · 94 citations

    2

    h-index

1–5 of 32

Venues

  1. Journal of Hydraulic Engineering

    5 publications · 299 citations

    5

    h-index

  2. Water Resources Research

    3 publications · 130 citations

    3

    h-index

  3. International Journal of Sediment Research

    1 publications · 25 citations

    1

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 1 publications · 20 citations

    1

    h-index

  5. Earth Surface Processes and Landforms

    1 publications · 18 citations

    1

    h-index

1–5