Threshold-based Warning Systems

Threshold-Based Warning System is a flood warning framework that belongs to the class of early warning systems and is distinguished by its reliance on predetermined hydrological or meteorological thresholds, such as river stage levels or rainfall intensity, to trigger alerts when observed or forecasted conditions exceed established critical values.

54

Publications

2.4K

Citations

201

Authors

84

Institutions

Publications per year

2017–2026

18

Authors

201

  1. NC
    Nicola Casagli

    University of Florence, Italy

    3 publications · 209 citations

    3

    h-index

  2. PS
    Peter Salamon

    Joint Research Centre, Italy

    3 publications · 383 citations

    3

    h-index

  3. SS
    Samuele Segoni

    University of Florence, Italy

    3 publications · 209 citations

    3

    h-index

  4. AR
    Ascanio Rosi

    University of Florence, Italy

    3 publications · 209 citations

    3

    h-index

  5. CW
    Chang Wang

    Chang'an University, China

    2 publications · 36 citations

    2

    h-index

1–5 of 201

Venues

  1. Water

    3 publications · 86 citations

    3

    h-index

  2. Natural hazards and earth system sciences

    3 publications · 236 citations

    3

    h-index

  3. Natural Hazards

    3 publications · 90 citations

    3

    h-index

  4. PubMed

    Repository · 3 publications · 48 citations

    3

    h-index

  5. Advances in geosciences

    ADGEO · 2 publications · 39 citations

    2

    h-index

1–5