Peak Flow Generation

Peak Flow Generation is a hydrological process model that identifies and quantifies the maximum rate of streamflow resulting from precipitation events within a forested catchment, distinguishing itself by integrating the interactions between rainfall intensity, canopy interception, soil infiltration capacity, and subsurface flow pathways in generating runoff timing and magnitude.

53

Publications

2.8K

Citations

143

Authors

87

Institutions

Publications per year

2017–2026

12

Authors

143

  1. YA
    Younes Alila

    University of British Columbia, Canada

    4 publications · 242 citations

    4

    h-index

  2. AP
    André P. Plamondon

    Université Laval, Canada

    2 publications · 122 citations

    2

    h-index

  3. VK
    Vijay K. Gupta

    Cooperative Institute for Research in Environmental Sciences, United States

    2 publications · 132 citations

    2

    h-index

  4. LC
    L. C. Bowling

    Purdue University West Lafayette, United States

    2 publications · 204 citations

    2

    h-index

  5. PW
    Paul Wetherbee

    University of Washington, United States

    2 publications · 204 citations

    2

    h-index

1–5 of 143

Venues

  1. Water Resources Research

    11 publications · 732 citations

    10

    h-index

  2. Journal of Hydrology

    7 publications · 595 citations

    7

    h-index

  3. Hydrological Processes

    6 publications · 357 citations

    6

    h-index

  4. 5

    h-index

  5. Hydrological Sciences Journal

    3 publications · 76 citations

    3

    h-index

1–5