Occurrence and source apportionment of organic pollutants in deep sediment cores of the Venice Lagoon.

Deep sediment cores Gas Chromatography/Mass Spectrometry (GC/MS) Persistent Organic Pollutants (POPs) Positive Matrix Factorization (PMF) Source apportionment Venice Lagoon

Journal

Marine pollution bulletin
ISSN: 1879-3363
Titre abrégé: Mar Pollut Bull
Pays: England
ID NLM: 0260231

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 28 10 2020
revised: 16 12 2020
accepted: 06 01 2021
pubmed: 7 2 2021
medline: 11 3 2021
entrez: 6 2 2021
Statut: ppublish

Résumé

In this study, recent and aged inputs of five classes of organic contaminants (i.e. PCBs, OCPs, PCDD/Fs, PAHs, and n-Alkanes) were evaluated in eight deep sediment cores of the Venice Lagoon, collected along the path of a new waterway whose excavation is under evaluation by local authorities, to assess the environmental quality status of the area. Diagnostic indices were calculated for identifying pollutant distribution patterns and their major emission sources, whose relative contribution was quantified by a Positive Matrix Factorization source apportionment model. Sedimentary depth profiles highlighted higher contamination in the top layer, mainly related to ship traffic combustion and vehicular/industrial emissions from the mainland. Nevertheless, a significant level of pollution has been detected also in the deeper layers, probably due to the transport of particulate matter through the aquifers underlying the lagoon seabed. The results underlined the threat posed by the possible resuspension of pollutants in the water column during contaminated sediment dredging.

Identifiants

pubmed: 33548807
pii: S0025-326X(21)00087-4
doi: 10.1016/j.marpolbul.2021.112053
pii:
doi:

Substances chimiques

Air Pollutants 0
Dibenzofurans 0
Environmental Pollutants 0
Particulate Matter 0
Polychlorinated Dibenzodioxins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112053

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Sarah Pizzini (S)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: sarah.pizzini@unive.it.

Elisa Morabito (E)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: elisa.morabito@unive.it.

Elena Gregoris (E)

Institute of Polar Sciences, National Research Council (CNR-ISP), Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: elena.gregoris@cnr.it.

Marco Vecchiato (M)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino, 155 - 30172 Venice Mestre (VE), Italy; Institute of Polar Sciences, National Research Council (CNR-ISP), Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: vecchiato@unive.it.

Fabiana Corami (F)

Institute of Polar Sciences, National Research Council (CNR-ISP), Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: fabiana.corami@cnr.it.

Rossano Piazza (R)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: piazza@unive.it.

Andrea Gambaro (A)

Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino, 155 - 30172 Venice Mestre (VE), Italy. Electronic address: gambaro@unive.it.

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Classifications MeSH