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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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 |
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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 |
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