News and Columns (not peer reviewed)
31 March 2025
Vol. 14 No. 1 (2025)
https://doi.org/10.7343/as-2025-867

[Innovation and the Future of Hydrogeology: the point of view of ECHN-Italy]

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Authors

Andrea Citrini
acitrini@carnegiescience.edu
https://orcid.org/0000-0002-1352-2356
Biosphere Sciences and Engineering, Carnegie Institution for Science, Stanford, United States.
Daniele Lepore
https://orcid.org/0000-0003-2166-0940
Department of Earth, Environmental and Resource Sciences, University of Naples Federico II, Italy.
Davide Sartirana
https://orcid.org/0000-0002-2997-0233
Department of Environmental and Earth Sciences, University of Milano-Bicocca, Milan, Italy.

[Article in Italian]

Innovazione e Futuro dell’Idrogeologia: il punto di vista di ECHN-Italy

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Citations

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Nordin, N. F. C., Mohd, N. S., Koting, S., Ismail, Z., Sherif, M., & El-Shafie, A. (2021). Groundwater quality forecasting modelling using artificial intelligence: A review. Groundwater for Sustainable Development, 14, 100643. DOI: https://doi.org/10.1016/j.gsd.2021.100643
Rajaee, T., Ebrahimi, H., & Nourani, V. (2019). A review of the artificial intelligence methods in groundwater level modeling. Journal of hydrology, 572, 336-351. DOI: https://doi.org/10.1016/j.jhydrol.2018.12.037
Zaresefat, M., & Derakhshani, R. (2023). Revolutionizing groundwater management with hybrid AI models: A practical review. Water, 15(9), 1750. DOI: https://doi.org/10.3390/w15091750

How to Cite



[Innovation and the Future of Hydrogeology: the point of view of ECHN-Italy]. (2025). Acque Sotterranee - Italian Journal of Groundwater, 14(1). https://doi.org/10.7343/as-2025-867
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