Salinity Prediction Models

Salinity Prediction Model is a computational or statistical framework designed to estimate future or unobserved salinity levels in aquatic environments based on historical data, environmental variables, and hydrodynamic processes.

354

Publications

17K

Citations

1.3K

Authors

561

Institutions

Publications per year

2017–2026

146

Authors

1.3K

  1. HR
    Holger R. Maier

    The University of Adelaide, Australia

    7 publications · 1.4K citations

    7

    h-index

  2. GC
    Graeme C. Dandy

    The University of Adelaide, Australia

    5 publications · 1.2K citations

    5

    h-index

  3. JD
    Jianli Ding

    Xinjiang University, China

    5 publications · 504 citations

    5

    h-index

  4. BD
    Bithin Datta

    James Cook University, Australia

    4 publications · 123 citations

    4

    h-index

  5. FV
    Fernando Visconti

    Instituto Valenciano de Investigaciones Agrarias, Spain

    3 publications · 89 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Journal of Hydrology

    12 publications · 743 citations

    12

    h-index

  2. Water Resources Research

    10 publications · 1.6K citations

    10

    h-index

  3. Remote Sensing

    9 publications · 471 citations

    9

    h-index

  4. Water

    7 publications · 281 citations

    7

    h-index

  5. Environmental Modelling & Software

    6 publications · 182 citations

    6

    h-index

1–5