Rainfall and hydrogeology
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Hydrogeologists know the water cycle well and know that rain and snow are the primary sources of groundwater. We also know that we share the years of popularity with landslide researchers: the rainy years are for the landslide researchers and the dry ones for the hydrogeologists. And how was this 2022 in Italy? It’s been a strange year, as often happens recently.
Alessandrino, L., & Mastrocicco, M. (2022). Insight on the application of graphene to sandy soils to improve water holding capacity. Acque Sotterranee - Italian Journal of Groundwater, 11(4), 35–41. https://doi.org/10.7343/as-2022-588
Foddis, M. L., Uras, G., Ackerer, P., & Montisci, A. (2022). Polluted aquifer inverse problem solution using artificial neural networks. Acque Sotterranee - Italian Journal of Groundwater, 11(4), 55–62. https://doi.org/10.7343/as-2022-607
Hayat, S., Szabó, Z. ., Tóth, Ádám, & Mádl-Sz?nyi, J. . (2021). MAR site suitability mapping for arid–semiarid regions by remote data and combined approach: A case study from Balochistan, Pakistan. Acque Sotterranee - Italian Journal of Groundwater, 10(3), 17–28. https://doi.org/10.7343/as-2021-505
Lentini, A., Meddi, E., Galve, J. P., Papiccio, C., & La Vigna, F. (2022). Preliminary identification of areas suitable for Sustainable Drainage Systems and Managed Aquifer Recharge to mitigate stormwater flooding phenomena in Rome (Italy). Acque Sotterranee - Italian Journal of Groundwater, 11(4), 43–53. https://doi.org/10.7343/as-2022-590
Nigro, M., Ambrosio, M., Fagioli, M.-T., Curcio, C., & Giannecchini, R. (2022). Analysis of fragmented piezometric levels records: the ARTE (Antecedent Recharge Temporal Effectiveness) approach. Acque Sotterranee - Italian Journal of Groundwater, 11(4), 21–32. https://doi.org/10.7343/as-2022-566
Toscani, L. ., Stefania, G. A., Masut, E., Prieto, M., Legnani, A., Gigliuto, A. ., Ferioli, L., & Battaglia, A. (2022). Groundwater flow numerical model to evaluate the water mass balance and flow patterns in Groundwater Circulation Wells (GCW) with varying aquifer parameters. Acque Sotterranee - Italian Journal of Groundwater, 11(4), 9–19. https://doi.org/10.7343/as-2022-515
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