Hydrograph Generation

Hydrograph Generation is a computational method that synthesizes the temporal distribution of streamflow from a watershed in response to precipitation inputs, distinguished by its focus on simulating the complete runoff hydrograph as a function of hydrological processes and catchment characteristics.

83

Publications

3.9K

Citations

232

Authors

133

Institutions

Publications per year

2017–2026

10

Authors

232

  1. PK
    P. K. Bhunya

    National Institute of Hydrology, India

    4 publications · 162 citations

    4

    h-index

  2. JC
    James C. Y. Guo

    University of Colorado Denver, United States

    3 publications · 71 citations

    3

    h-index

  3. TG
    Theodore G. Cleveland

    Texas Tech University, United States

    2 publications · 55 citations

    2

    h-index

  4. KT
    Kwan Tun Lee

    National Taiwan Ocean University, Taiwan

    2 publications · 156 citations

    2

    h-index

  5. DB
    David B. Thompson

    Texas Tech University, United States

    2 publications · 55 citations

    2

    h-index

1–5 of 232

Venues

  1. Journal of Hydrology

    16 publications · 757 citations

    14

    h-index

  2. Hydrological Processes

    9 publications · 432 citations

    9

    h-index

  3. Journal of Hydrologic Engineering

    7 publications · 293 citations

    7

    h-index

  4. Journal of the Hydraulics Division

    6 publications · 527 citations

    6

    h-index

  5. Water Resources Research

    5 publications · 278 citations

    5

    h-index

1–5