Inflow Forecast-based Operation

Inflow Forecast-Based Operation is a reservoir management methodology that utilizes predicted inflow hydrographs derived from meteorological and hydrological forecasts to optimize operational decisions, distinguishing itself from rule-based or historical-data-driven approaches by its reliance on forward-looking, model-generated inflow estimates.

36

Publications

2.6K

Citations

127

Authors

65

Institutions

Publications per year

2017–2026

15

Authors

127

  1. SG
    Shenglian Guo

    Wuhan University, China

    4 publications · 183 citations

    4

    h-index

  2. JR
    Jery R. Stedinger

    Cornell University, United States

    3 publications · 771 citations

    3

    h-index

  3. PL
    Pan Liu

    Wuhan University, China

    3 publications · 142 citations

    3

    h-index

  4. YP
    Yong Peng

    Dalian University of Technology, China

    2 publications · 59 citations

    2

    h-index

  5. TZ
    Tongtiegang Zhao

    Sun Yat-sen University, China

    2 publications · 66 citations

    2

    h-index

1–5 of 127

Venues

  1. 10

    h-index

  2. Water Resources Management

    4 publications · 196 citations

    5

    h-index

  3. Water Resources Research

    4 publications · 828 citations

    4

    h-index

  4. Journal of Hydrology

    4 publications · 315 citations

    4

    h-index

  5. Journal of Hydroinformatics

    2 publications · 76 citations

    2

    h-index

1–5