Automatic Baseflow Separation

Automatic Baseflow Separation is a computational method in hydrology that systematically distinguishes baseflow from total streamflow using algorithmic procedures without requiring manual intervention or subjective parameter calibration.

26

Publications

5.2K

Citations

94

Authors

52

Institutions

Publications per year

2017–2026

11

Authors

94

  1. RN
    Rory Nathan

    The University of Melbourne, Australia

    3 publications · 1.5K citations

    3

    h-index

  2. PB
    Philip Brunner

    University of Neuchâtel, Switzerland

    2 publications · 191 citations

    2

    h-index

  3. JZ
    Junlong Zhang

    Chinese Academy of Sciences, China

    2 publications · 191 citations

    2

    h-index

  4. WA
    Walter A. Illman

    University of Waterloo, Canada

    1 publications · 25 citations

    1

    h-index

  5. JA
    Jason A. Hubbart

    West Virginia University, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 94

Venues

  1. Journal of Hydrology

    9 publications · 1K citations

    9

    h-index

  2. Hydrological Processes

    3 publications · 1K citations

    3

    h-index

  3. Water

    2 publications · 49 citations

    2

    h-index

  4. Water Resources Research

    2 publications · 1.2K citations

    2

    h-index

  5. 2

    h-index

1–5