نتائج البحث - "Busico, Gianluigi"

1

دورية أكاديمية

Identification and quantification of nutrients sources in the Aspio watershed (Italy). Insight from geogenic mineralization and anthropogenic pressure

المؤلفون: Busico, Gianluigi, Fronzi, Davide, Colombani, Nicolò, Mastrocicco, Micol, Tazioli, Alberto

المصدر: CATENA ; volume 236, page 107759 ; ISSN 0341-8162

مصطلحات موضوعية: Earth-Surface Processes

الإتاحة: https://doi.org/10.1016/j.catena.2023.107759Test
https://api.elsevier.com/content/article/PII:S0341816223008500?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0341816223008500?httpAccept=text/plainTest

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2

دورية أكاديمية

A multi-step approach to evaluate the sustainable use of groundwater resources for human consumption and agriculture

المؤلفون: Bordbar, Mojgan, Busico, Gianluigi, Sirna, Maurizio, Tedesco, Dario, Mastrocicco, Micol

المساهمون: University of Campania “Luigi Vanvitelli”, Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy, Department of GIS/RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran, Department of Geology, Laboratory of Engineering Geology & Hydrogeology, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia

مصطلحات موضوعية: Artificial intelligence, Groundwater suitability, Quality index, Vulnerability map

العلاقة: Journal of Environmental Management; /347(2023); Agrawal, P., Sinha, A., Kumar, S., Agarwal, A., Banerjee, A., Villuri, V.G.K., Pasupuleti, S., 2021. Exploring artificial intelligence techniques for groundwater quality assessment. Water 13 (9), 1172. https://doi.org/10.3390/w13091172Test. Alamne, S.B., Assefa, T.T., Belay, S.A., Hussein, M.A., 2022. Mapping groundwater nitrate contaminant risk using the modified DRASTIC model: a case study in Ethiopia. Environ. Syst. Res. 11 (1), 8. https://doi.org/10.1186/s40068-022-00253Test- 9. Aller, L., 1985. DRASTIC: a Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings. Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, US Environmental Protection Agency. Allocca, V., Celico, F., Celico, P., De Vita, P., Fabbrocino, S., Mattia, S., Monacelli, G., Musilli, I., Piscopo, V., Scalise, A.R., Summa, G.M., Tranfaglia, G., 2007. 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Barzegar, R., Razzagh, S., Quilty, J., Adamowski, J., Pour, H.K., Booij, M.J., 2021. Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models. J. Hydrol. 598, 126370 https://doi.org/10.1016/j.jhydrol.2021.126370Test. BaSeLiNe, 1999. Natural Baseline Quality in European Aquifers, a Basis for Aquifer Management. https://nora.nerc.ac.uk/id/eprint/512162Test. Bedi, S., Samal, A., Ray, C., Snow, D., 2020. Comparative evaluation of machine learning models for groundwater quality assessment. Environ. Monit. Assess. 192, 1–23. https://doi.org/10.1007/s10661-020-08695-3Test. Benaafi, M., Yassin, M.A., Usman, A.G., Abba, S.I., 2022. Neurocomputing modelling of hydrochemical and physical properties of groundwater coupled with spatial clustering, GIS, and statistical techniques. Sustainability 14 (4), 2250. https://doiTest. org/10.3390/su14042250. Bordbar, M., Neshat, A., Javadi, S., 2019. A new hybrid framework for optimization and modification of groundwater vulnerability in coastal aquifer. Environ. Sci. Pollut. Res. 26, 21808–21827. https://doi.org/10.1007/s11356-019-04853-4Test. Bordbar, M., Neshat, A., Javadi, S., Pradhan, B., Dixon, B., Paryani, S., 2021. Improving the coastal aquifers’ vulnerability assessment using SCMAI ensemble of three machine learning approaches. Nat. Hazards 1–22. https://doi.org/10.1007/s11069Test- 021-05013-z. Boufekane, A., Maizi, D., Madene, E., Busico, G., Zghibi, A., 2022. Hybridization of GALDIT method to assess actual and future coastal vulnerability to seawater intrusion. J. Environ. Manag. 318, 115580 https://doi.org/10.1016/jTest. jenvman.2022.115580. M. Bordbar et al. Journal of Environmental Management 347 (2023) 119041 10 Braca, G., Bussettini, M., Gaf` a, R.M., Monti, G.M., Martarelli, L., Silvi, A., La Vigna, F., 2022. The nationwide water budget estimation in the light of the new permeability. Map of Italy AS/IT JGW 11 (3), 31–39. https://doi.org/10.7343/as-2022-575Test. Busico, G., Kazakis, N., Colombani, N., Khosravi, K., Voudouris, K., Mastrocicco, M., 2020a. The importance of incorporating denitrification in the assessment of groundwater vulnerability. Appl. Sci. 10 (7) https://doi.org/10.3390/app10072328Test. Busico, G., Kazakis, N., Cuoco, E., Colombani, N., Tedesco, D., Voudouris, K., Mastrocicco, M., 2020b. A novel hybrid method of specific vulnerability to anthropogenic pollution using multivariate statistical and regression analyses. Water Res. 171, 115386 https://doi.org/10.1016/j.watres.2019.115386Test. Busico, G., Kazakis, N., Colombani, N., Mastrocicco, M., Voudouris, K., Tedesco, D., 2017. A modified SINTACS method for groundwater vulnerability and pollution risk assessment in highly anthropized regions based on NO3− and SO42− concentrations. Sci. Total Environ. 609, 1512–1523. https://doi.org/10.1016/jTest. scitotenv.2017.07.257. Busico, G., Cuoco, E., Kazakis, N., Colombani, N., Mastrocicco, M., Tedesco, D., Voudouris, K., 2018. Multivariate statistical analysis to characterize/discriminate between anthropogenic and geogenic trace elements occurrence in the Campania Plain. Southern Italy. Environ. Pollut. 234, 260–269. https://doi.org/10.1016/jTest. envpol.2017.11.053. Busico, G., Mastrocicco, M., Cuoco, E., Sirna, M., Tedesco, D., 2019. Protection from natural and anthropogenic sources: a new rating methodology to delineate “nitrate vulnerable zone”. Environ. Earth Sci. 78 (4), 1–13. https://doi.org/10.1007/s12665Test- 019-8118-2. Busico, G., Buffardi, C., Ntona, M.M., Vigliotti, M., Colombani, N., Mastrocicco, M., Ruberti, D., 2021. Actual and forecasted vulnerability assessment to seawater intrusion via GALDIT-SUSI in the Volturno river mouth (Italy). Rem. Sens. 13 (18), 3632. https://doi.org/10.3390/rs13183632Test. Chachadi, A.G., Lobo-Ferreira, J.P., 2001. Sea water intrusion vulnerability mapping of aquifers using GALDIT method. Coastin 4, 7–9. Cuoco, E., Darrah, T.H., Buono, G., Verrengia, G., De Francesco, S., Eymold, W.K., Tedesco, D., 2015. Inorganic contaminants from diffuse pollution in shallow groundwater of the Campanian plain (southern Italy). Implications for geochemical survey. Environ. Monit. Assess. 187 (2), 46. https://doi.org/10.1007/s10661-015Test- 4307-y. Danielopol, D.L., Griebler, C., Gunatilaka, A., Notenboom, J., 2003. Present state and future prospects for groundwater ecosystems. Environ. Conserv. 30 (2), 104–113. https://doi.org/10.1017/S0376892903000109Test. Durov, S.A., 1948. Natural waters and graphic representation of their composition. Dokl. Akad. Nauk SSSR 59 (3), 87–90. Elbeltagi, A., Pande, C.B., Kouadri, S., Islam, A.R.M.T., 2022. Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India. Environ. Sci. Pollut. 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J. Hydrol. 525, 13–25. https://doi.org/10.1016/j.jhTest. Kazakis, N., Busico, G., Colombani, N., Mastrocicco, M., Pavlou, A., Voudouris, K., 2019. GALDIT-SUSI a modified method to account for surface water bodies in the assessment of aquifer vulnerability to seawater intrusion. J. Environ. Manag. 235, 257–265. https://doi.org/10.1016/j.jenvman.2019.01.069Test. Khan, Q., Liaqat, M.U., Mohamed, M.M., 2022. A comparative assessment of modeling groundwater vulnerability using DRASTIC method from GIS and a novel classification method using machine learning classifiers. Geocarto Int. 37 (20), 5832–5850. https://doi.org/10.1080/10106049.2021.1923833Test. Khosravi, K., Barzegar, R., Golkarian, A., Busico, G., Cuoco, E., Mastrocicco, M., Kazakis, N., 2021a. Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer. J. Contam. Hydrol. 242 https://doi.org/10.1016/j.jconhyd.2021.103849Test. 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Tectono-stratigraphic signature of a rapid multistage subsiding rift basin in the Tyrrhenian-Apennine hinge zone (Italy): a possible interaction of upper plate with subducting slab. J. Geodyn. 86, 42–60. https://doiTest. org/10.1016/j.jog.2015.02.005. Mishra, N., Sharma, A.K., 2021. Groundwater storage analysis in changing land use/land cover for haridwar Districts of upper Ganga canal command (1972–2011). In: Advances in Civil Engineering and Infrastructural Development: Select Proceedings of ICRACEID 2019. Springer Singapore, pp. 233–241. https://doi.org/10.1007/978Test- 981-15-6463-5_22. Mohammed, M.A., Szabo, ´ N.P., Szucs, ˝ P., 2022. Multivariate statistical and hydrochemical approaches for evaluation of groundwater quality in north Bahri city Sudan. Heliyon 8 (11), e11308. https://doi.org/10.1016/j.heliyon.2022.e11308Test. Molinari, A., Guadagnini, L., Marcaccio, M., Guadagnini, A., 2018. 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Eos, Transactions American Geophysical Union 25 (6), 914–928. https:// doi.org/10.1029/TR025i006p00914. Rama, F., Busico, G., Arumi, J.L., Kazakis, N., Colombani, N., Marfella, L., Mastrocicco, M., 2022. Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the drastic framework: the case of south America. Sci. Total Environ. 823 https://doi.org/10.1016/j.scitotenv.2022.153748Test. Rodriguez-Galiano, V., Mendes, M.P., Garcia-Soldado, M.J., Chica-Olmo, M., Ribeiro, L., 2014. Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: a case study in an agricultural setting (Southern Spain). Sci. Total Environ. 476, 189–206. https://doi.org/10.1016/j.scitotenv.2014.01.001Test. Rokhshad, A.M., Khashei Siuki, A., Yaghoobzadeh, M., 2021. Evaluation of a machine based learning method to estimate the rate of nitrate penetration and groundwater contamination. 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الإتاحة: https://doi.org/10.1016/j.jenvman.2023.11904110.1126/science.1229881Test
http://hdl.handle.net/2122/17191Test

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دورية أكاديمية

Assessing Soil Erosion Susceptibility for Past and Future Scenarios in Semiarid Mediterranean Agroecosystems

المؤلفون: Busico, Gianluigi, Grilli, Eleonora, Carvalho, Silvia, Mastrocicco, Micòl, Castaldi, Simona

العلاقة: EU project LIFE16 CCA/IT/000011.; Busico, G.; Grilli, E.; Carvalho, S.C.P.; Mastrocicco, M.; Castaldi, S. Assessing Soil Erosion Susceptibility for Past and Future Scenarios in Semiarid Mediterranean Agroecosystems. Sustainability 2023, 15, 12992. https://doi.org/10.3390/su151712992Test; http://hdl.handle.net/10451/59567Test

الإتاحة: https://doi.org/10.3390/su151712992Test
http://hdl.handle.net/10451/59567Test

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4

دورية أكاديمية

Application of Judgmental Sampling Approach for the Monitoring of Groundwater Quality and Quantity Evolution in Mediterranean Catchments

المؤلفون: Ntona, Maria, Margarita, Chalikakis, Konstantinos, Busico, Gianluigi, Mastrocicco, Micòl, Kalaitzidou, Kyriaki, Kazakis, Nerantzis

المساهمون: Università degli studi della Campania "Luigi Vanvitelli" = University of the Study of Campania Luigi Vanvitelli, Aristotle University of Thessaloniki, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Patras, Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “Second Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (Project Number: 00138, Title: Groundwater Depletion. Are Eco-Friendly Energy Recharge Dams a Solution?- the Environment, Design, and Innovation Ph.D. Program funded by the V:ALERE 2020 Program (VAnviteLli pEr la RicErca) of the University of Campania “Luigi Vanvitelli”

المصدر: ISSN: 2073-4441 ; Water ; https://hal.science/hal-04401686Test ; Water, 2023, 15 (22), pp.1-19. ⟨10.3390/w15224018⟩.

مصطلحات موضوعية: multivariate statistical analysis, groundwater pollution, evolution process, pearson correlation, groundwater level, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDE.MCG]Environmental Sciences/Global Changes, [SDV]Life Sciences [q-bio]

العلاقة: hal-04401686; https://hal.science/hal-04401686Test; https://hal.science/hal-04401686/documentTest; https://hal.science/hal-04401686/file/water-15-04018.pdfTest

الإتاحة: https://doi.org/10.3390/w15224018Test
https://hal.science/hal-04401686Test
https://hal.science/hal-04401686/documentTest
https://hal.science/hal-04401686/file/water-15-04018.pdfTest

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5

دورية أكاديمية

Groundwater Depletion. Are Environmentally Friendly Energy Recharge Dams a Solution?

المؤلفون: Kazakis, Nerantzis, Karakatsanis, Diamantis, Ntona, Maria Margarita, Polydoropoulos, Konstantinos, Zavridou, Efthymia, Voudouri, Kalliopi Artemis, Busico, Gianluigi, Kalaitzidou, Kyriaki, Patsialis, Thomas, Perdikaki, Martha, Tsourlos, Panagiotis, Kallioras, Andreas, Theodossiou, Nicolaos, Pliakas, Fotios-Konstantinos, Angelidis, Panagiotis, Mavromatis, Theodoros, Patrikaki, Olga, Voudouris, Konstantinos

المصدر: Water (20734441); Jun2024, Vol. 16 Issue 11, p1541, 20p

مصطلحات موضوعية: GROUNDWATER, DOWNSCALING (Climatology), DAMS, WATER table, FLOW simulations

مصطلحات جغرافية: GREECE

النص الكامل

6

دورية أكاديمية

Global Review of Modification, Optimization, and Improvement Models for Aquifer Vulnerability Assessment in the Era of Climate Change

المؤلفون: Bordbar, Mojgan, Rezaie, Fatemeh, Bateni, Sayed M., Jun, Changhyun, Kim, Dongkyun, Busico, Gianluigi, Moghaddam, Hamid Kardan, Paryani, Sina, Panahi, Mahdi, Valipour, Mohammad

المساهمون: Bordbar, Mojgan, Rezaie, Fatemeh, Bateni, Sayed M., Jun, Changhyun, Kim, Dongkyun, Busico, Gianluigi, Moghaddam, Hamid Kardan, Paryani, Sina, Panahi, Mahdi, Valipour, Mohammad

العلاقة: volume:9; issue:4; firstpage:45; lastpage:67; numberofpages:23; journal:CURRENT CLIMATE CHANGE REPORTS; https://hdl.handle.net/11591/517683Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85181482443

الإتاحة: https://doi.org/10.1007/s40641-023-00192-2Test
https://hdl.handle.net/11591/517683Test

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