Application of machine learning models in groundwater quality assessment and prediction: progress and challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s11783-024-1789-2.pdf
Reference197 articles.
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3. Aguilera P A, Fernández A, Ropero R F, Molina L (2013). Groundwater quality assessment using data clustering based on hybrid Bayesian networks. Stochastic Environmental Research and Risk Assessment, 27(2): 435–447
4. Alahi M E E, Mukhopadhyay S C, Burkitt L (2018). Imprinted polymer coated impedimetric nitrate sensor for real-time water quality monitoring. Sensors and Actuators. B, Chemical, 259: 753–761
5. Aldhyani T H H, Al-Yaari M, Alkahtani H, Maashi M (2020). Water quality prediction using artificial intelligence algorithms. Applied Bionics and Biomechanics, 2020: 6659314
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