Ensemble Groundwater Forecasting
Ensemble Groundwater Forecasting is a groundwater forecasting method that integrates multiple individual models or simulations to produce a probabilistic or consensus estimate of future groundwater levels, thereby accounting for uncertainties in model structure, parameters, and input data.
21
Publications
1.3K
Citations
98
Authors
58
Institutions
Publications per year
2017–2026
20
21
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
Haitham Abdulmohsin Afan, Ahmedbahaaaldin Ibrahem Ahmed Osman, Yusuf Essam et al. · Engineering Applications of Computational Fluid Mechanics · 2021 · 122 citations · Full text
Computing, Earth Sciences, Hydrology +17
Mouigni Baraka Nafouanti, Junxia Li, Nasiru Abba Mustapha et al. · Applied Geochemistry · 2021 · 110 citations
1–5 of 21
98
2
h-index
2
h-index
IHE Delft Institute for Water Education, Netherlands
2 publications · 121 citations
2
h-index
2
h-index
2
h-index
1–5 of 98
58

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
121 citations
Northwest Institute of Eco-Environment and Resources
Lanzhou, China
2 h-index
11 publications
345 citations
IHE Delft Institute for Water Education
Delft, The Netherlands
2 h-index
6 publications
363 citations
Institute of Water Problems
Moscow, Russia
2 h-index
2 publications
121 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
11 publications
345 citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
5 publications
313 citations

King Saud University
Riyadh, Saudi Arabia
2 h-index
4 publications
116 citations
China University of Geosciences
Wuhan, China
2 h-index
9 publications
690 citations
1–8 of 58
5 publications · 212 citations
5
h-index
NRR · 2 publications · 94 citations
2
h-index
ESPR · 2 publications · 69 citations
2
h-index
1 publications · 17 citations
1
h-index
2 publications · 32 citations
1
h-index
1–5