Statistical Flood Forecasting

Statistical Flood Forecasting is a flood forecasting methodology that employs statistical models to predict flood events based on historical data and probabilistic relationships, distinguishing itself from deterministic approaches by relying on empirical data correlations rather than physical hydrological processes.

136

Publications

10.3K

Citations

430

Authors

205

Institutions

Publications per year

2017–2026

69

Publications

136

Authors

430

  1. RC
    Romulus Costache

    National Institute of Hydrology and Water Management, Romania

    4 publications · 508 citations

    4

    h-index

  2. DT
    Dieu Tien Bui

    Duy Tan University, Vietnam

    3 publications · 381 citations

    3

    h-index

  3. AM
    Amir Mosavi

    Obuda University, Hungary

    3 publications · 1.1K citations

    3

    h-index

  4. MP
    Mahdi Panahi

    Korea Institute of Geoscience and Mineral Resources, South Korea

    2 publications · 118 citations

    2

    h-index

  5. TO
    Taikan Oki

    The University of Tokyo, Japan

    2 publications · 81 citations

    2

    h-index

1–5 of 430

Venues

  1. Journal of Hydrology

    27 publications · 2.6K citations

    22

    h-index

  2. Water Resources Research

    10 publications · 809 citations

    10

    h-index

  3. Water

    5 publications · 212 citations

    5

    h-index

  4. 5

    h-index

  5. Water Resources Management

    5 publications · 134 citations

    5

    h-index

1–5