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
12
Wenjie Yin, Zongwen Fan, Natthachet Tangdamrongsub et al. · Journal of Hydrology · 2021 · 77 citations
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31
IHE Delft Institute for Water Education
Delft, The Netherlands
1 h-index
3 publications
144 citations

Gubkin Russian State University of Oil and Gas
Moscow, Russia
1 h-index
1 publications
24 citations
Zhejiang Ocean University
Zhoushan, China
1 h-index
3 publications
120 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
5 publications
125 citations
Goddard Space Flight Center
Greenbelt, United States
1 h-index
1 publications
77 citations
Earth System Science Interdisciplinary Center
College Park, United States
1 h-index
1 publications
77 citations

Southern University of Science and Technology
Shenzhen, China
1 h-index
1 publications
16 citations
Laboratoire Morphodynamique Continentale et Côtière
Caen, France
1 h-index
6 publications
150 citations
1–8 of 31
4 publications · 228 citations
4
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1 publications · 25 citations
1
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CAGEO · 1 publications · 53 citations
1
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ESPR · 1 publications · 17 citations
1
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1 publications · 34 citations
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1–5