| Title | Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy) |
| Abstract | The Gulf of Naples located in a high anthropized coastal area is subjected to an infrastructural intervention for the installation of a submarine power pipeline. In order to evaluate the distribution of contaminants in the seafloor sediments, a preliminary study has been conducted in the area using multivariate techniques. The statistic approach was performed to gain insights on the occurrence of organic and inorganic contaminants within the area, aiming to identify the relevant hot spots. Three geographical sub-areas influenced by different contaminant association were recognized: Torre Annunziata (TA), Capri (CA), and middle offshore (MO). TA and CA resulted marked by a severe contamination pattern due to anthropogenic pressures. In addition, the influence of the depositional basin in governing the contamination trend has been pointed out. The supervised technique PLS_DA resulted to be a powerful tool in addressing the complexity of the huge dataset acquired during the marine survey, highlighting the main trends in the variability of quality indicators, orienting thus the deeper investigations during follow-up monitoring activities. |
| Source | Environmental science and pollution research international |
| Keywords | Hazard degreeComplex datasetMarine sedimentsContaminationMultivariate analysesGulf of Naples |
| Journal | Environmental science and pollution research international |
| Editor | Springer, Berlin, Germania |
| Year | 2022 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11356-022-19989-z |
| Authors | Mali, Matilda; Di Leo, Antonella; Giandomenico, Santina; Spada, Lucia; Cardellicchio, Nicola; Calo, Maria; Fedele, Alessandra; Ferraro, Luciana; Milia, Alfonsa; Renzi, Monia; Massara, Francesca; Granata, Tommaso; Moruzzi, Letizia; Buonocunto, Francesco Paolo |
| Text | 467895 2022 10.1007/s11356 022 19989 z ISI Web of Science WOS 000779803400005 Hazard degree Complex dataset Marine sediments Contamination Multivariate analyses Gulf of Naples Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area Gulf of Naples, Italy Mali, Matilda; Di Leo, Antonella; Giandomenico, Santina; Spada, Lucia; Cardellicchio, Nicola; Calo, Maria; Fedele, Alessandra; Ferraro, Luciana; Milia, Alfonsa; Renzi, Monia; Massara, Francesca; Granata, Tommaso; Moruzzi, Letizia; Buonocunto, Francesco Paolo DICATECh, Politecnico Di Bari, via Orabona, 4 I 70125 Bari, Italy Water Research Institute, National Research Council, Taranto, Italy Institute of Marine Sciences, National Research Council, Naples, Italy Department of Life Science, L. Giorgieri, 10, 34127 Trieste, Italy 5 CONISMA Consorzio Nazionale Interuniversitario Per Le Scienze del Mare, Roma , Italy Terna S.P.A. Rete Elettrica Nazionale Roma Viale Egidio Galbani, 70, Roma, Italy CESI S.P.a. Centro Elettronico Sperimentale Italiano, Milano, Italy The Gulf of Naples located in a high anthropized coastal area is subjected to an infrastructural intervention for the installation of a submarine power pipeline. In order to evaluate the distribution of contaminants in the seafloor sediments, a preliminary study has been conducted in the area using multivariate techniques. The statistic approach was performed to gain insights on the occurrence of organic and inorganic contaminants within the area, aiming to identify the relevant hot spots. Three geographical sub areas influenced by different contaminant association were recognized Torre Annunziata TA , Capri CA , and middle offshore MO . TA and CA resulted marked by a severe contamination pattern due to anthropogenic pressures. In addition, the influence of the depositional basin in governing the contamination trend has been pointed out. The supervised technique PLS_DA resulted to be a powerful tool in addressing the complexity of the huge dataset acquired during the marine survey, highlighting the main trends in the variability of quality indicators, orienting thus the deeper investigations during follow up monitoring activities. Published version Mali et al._2022 Mali et al., 2022.pdf Articolo in rivista Springer 0944 1344 Environmental science and pollution research international Environmental science and pollution research international Environ. sci. pollut. res. int. Environmental science and pollution research international. Environmental science and pollution research international Print Environmental science and pollution research Print ESPR Print luciana.ferraro FERRARO LUCIANA antonella.dileo DI LEO ANTONELLA santina.giandomenico GIANDOMENICO SANTINA alfonsa.milia MILIA ALFONSA francescopaolo.buonocunto BUONOCUNTO FRANCESCO PAOLO lucia.spada SPADA LUCIA nicola.cardellicchio CARDELLICCHIO NICOLA |
