Cargando…

Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mali, Matilda, Di Leo, Antonella, Giandomenico, Santina, Spada, Lucia, Cardellicchio, Nicola, Calò, Maria, Fedele, Alessandra, Ferraro, Luciana, Milia, Alfonsa, Renzi, Monia, Massara, Francesca, Granata, Tommaso, Moruzzi, Letizia, Buonocunto, Francesco Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464125/
https://www.ncbi.nlm.nih.gov/pubmed/35397022
http://dx.doi.org/10.1007/s11356-022-19989-z
_version_ 1784787513658834944
author Mali, Matilda
Di Leo, Antonella
Giandomenico, Santina
Spada, Lucia
Cardellicchio, Nicola
Calò, Maria
Fedele, Alessandra
Ferraro, Luciana
Milia, Alfonsa
Renzi, Monia
Massara, Francesca
Granata, Tommaso
Moruzzi, Letizia
Buonocunto, Francesco Paolo
author_facet Mali, Matilda
Di Leo, Antonella
Giandomenico, Santina
Spada, Lucia
Cardellicchio, Nicola
Calò, Maria
Fedele, Alessandra
Ferraro, Luciana
Milia, Alfonsa
Renzi, Monia
Massara, Francesca
Granata, Tommaso
Moruzzi, Letizia
Buonocunto, Francesco Paolo
author_sort Mali, Matilda
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19989-z.
format Online
Article
Text
id pubmed-9464125
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-94641252022-09-12 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 Calò, Maria Fedele, Alessandra Ferraro, Luciana Milia, Alfonsa Renzi, Monia Massara, Francesca Granata, Tommaso Moruzzi, Letizia Buonocunto, Francesco Paolo Environ Sci Pollut Res Int Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19989-z. Springer Berlin Heidelberg 2022-04-09 2022 /pmc/articles/PMC9464125/ /pubmed/35397022 http://dx.doi.org/10.1007/s11356-022-19989-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Mali, Matilda
Di Leo, Antonella
Giandomenico, Santina
Spada, Lucia
Cardellicchio, Nicola
Calò, Maria
Fedele, Alessandra
Ferraro, Luciana
Milia, Alfonsa
Renzi, Monia
Massara, Francesca
Granata, Tommaso
Moruzzi, Letizia
Buonocunto, Francesco Paolo
Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title_full Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title_fullStr Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title_full_unstemmed Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title_short Multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (Gulf of Naples, Italy)
title_sort multivariate tools to investigate the spatial contaminant distribution in a highly anthropized area (gulf of naples, italy)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464125/
https://www.ncbi.nlm.nih.gov/pubmed/35397022
http://dx.doi.org/10.1007/s11356-022-19989-z
work_keys_str_mv AT malimatilda multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT dileoantonella multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT giandomenicosantina multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT spadalucia multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT cardellicchionicola multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT calomaria multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT fedelealessandra multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT ferraroluciana multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT miliaalfonsa multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT renzimonia multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT massarafrancesca multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT granatatommaso multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT moruzziletizia multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly
AT buonocuntofrancescopaolo multivariatetoolstoinvestigatethespatialcontaminantdistributioninahighlyanthropizedareagulfofnaplesitaly