Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa

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Publié dans:	Earth Science Informatics vol. 18, no. 1 (Jan 2025), p. 6
Publié:	Springer Nature B.V.
Sujets:	South Africa Coastal aquifers Climate variability Deep learning Groundwater management Groundwater models Sustainability management Aquifers Groundwater levels Neural networks Groundwater recharge Aquifer recharge Modelling Machine learning Groundwater data Accuracy Water wells Numerical models Support vector machines Groundwater Climate models Root-mean-square errors Mathematical models Recurrent neural networks Algorithms Aquifer systems Aquifer management Aquifer testing Predictions Environmental
Accès en ligne:	Citation/Abstract Full Text - PDF
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