Physically Based Groundwater Forecasting

Physically Based Groundwater Forecasting is a groundwater forecasting approach that belongs to the class of models grounded in the mathematical representation of physical laws governing subsurface hydrological processes, distinguished by its explicit incorporation of principles such as mass conservation and Darcy’s law to simulate groundwater level dynamics.

12

Publications

463

Citations

38

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

38

  1. ZF
    Zongwen Fan

    Huaqiao University, China

    1 publications · 77 citations

    1

    h-index

  2. NM
    Nicolas Masséi

    Université de Rouen Normandie, France

    1 publications · 25 citations

    1

    h-index

  3. HS
    Hongyue Sun

    Zhejiang University, China

    1 publications · 40 citations

    1

    h-index

  4. SM
    Shaohua Marko Hsu

    Feng Chia University, Taiwan

    1 publications · 63 citations

    1

    h-index

  5. VB
    V.J. Bidwell

    Lincoln University, New Zealand

    1 publications · 55 citations

    1

    h-index

1–5 of 38

Venues

  1. Journal of Hydrology

    4 publications · 228 citations

    4

    h-index

  2. The Science of The Total Environment

    1 publications · 25 citations

    1

    h-index

  3. Computers & Geosciences

    CAGEO · 1 publications · 53 citations

    1

    h-index

  4. Environmental Science and Pollution Research

    ESPR · 1 publications · 17 citations

    1

    h-index

  5. Arabian Journal of Geosciences

    1 publications · 34 citations

    1

    h-index

1–5