Coastal accumulation of microplastic particles emitted from the Po River, Northern Italy: Comparing remote sensing and hydrodynamic modelling with in situ sample collections.


Journal

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

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 24 07 2018
revised: 21 09 2018
accepted: 19 11 2018
entrez: 21 1 2019
pubmed: 21 1 2019
medline: 12 3 2019
Statut: ppublish

Résumé

Microplastic research has mainly concentrated on open seas, while riverine plumes remain largely unexplored despite their hypothesized importance as a microplastic source to coastal waters. This work aimed to model coastal accumulation of microplastic particles (1-5 mm) emitted by the Po River over 1.5 years. We posit that river-induced microplastic accumulation on adjacent coasts can be predicted using (1) hydrodynamic-based and (2) remote sensing-based modelling. Model accumulation maps were validated against sampling at nine beaches, with sediment microplastic concentrations up to 78 particles/kg (dry weight). Hydrodynamic modelling revealed that discharged particle amount is only semi-coupled to beaching rates, which are strongly mouth dependent and occur within the first ten days. Remote sensing modelling was found to better capture river mouth relative strength, and accumulation patterns were found consistent with hydrodynamic modelling. This methodology lays groundwork for developing an operational monitoring system to assess microplastic pollution emitted by a major river.

Identifiants

pubmed: 30660307
pii: S0025-326X(18)30830-0
doi: 10.1016/j.marpolbul.2018.11.045
pii:
doi:

Substances chimiques

Plastics 0
Water Pollutants, Chemical 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

561-574

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Elizabeth C Atwood (EC)

RSS Remote Sensing Solutions GmbH, Isarstr. 3, 82065 Baierbrunn, Germany; Ludwig-Maximilians-Universität Munich, GeoBio-Center, Großhadernerstr. 2, 82152 Martinsried, Planegg, Germany. Electronic address: atwood@rssgmbh.de.

Francesco M Falcieri (FM)

Consiglio Nazionale delle Ricerche - Istituto di Scienze Marine (CNR-ISMAR), Arsenale-Tesa 104, Castello 2737/F, 30122 Venezia, Italy.

Sarah Piehl (S)

University Bayreuth, Dept. Animal Ecology I, Universitätsstr. 30, 95440 Bayreuth, Germany.

Mathias Bochow (M)

University Bayreuth, Dept. Animal Ecology I, Universitätsstr. 30, 95440 Bayreuth, Germany; Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany.

Michael Matthies (M)

University of Osnabrück, Institute of Environmental Systems Research, Barbarastr. 12, 49069 Osnabrück, Germany.

Jonas Franke (J)

RSS Remote Sensing Solutions GmbH, Isarstr. 3, 82065 Baierbrunn, Germany.

Sandro Carniel (S)

Consiglio Nazionale delle Ricerche - Istituto di Scienze Marine (CNR-ISMAR), Arsenale-Tesa 104, Castello 2737/F, 30122 Venezia, Italy.

Mauro Sclavo (M)

Consiglio Nazionale delle Ricerche - Istituto di Scienze Marine (CNR-ISMAR), Arsenale-Tesa 104, Castello 2737/F, 30122 Venezia, Italy.

Christian Laforsch (C)

University Bayreuth, Dept. Animal Ecology I, Universitätsstr. 30, 95440 Bayreuth, Germany.

Florian Siegert (F)

RSS Remote Sensing Solutions GmbH, Isarstr. 3, 82065 Baierbrunn, Germany; Ludwig-Maximilians-Universität Munich, GeoBio-Center, Großhadernerstr. 2, 82152 Martinsried, Planegg, Germany.

Articles similaires

Vancomycin Polyesters Anti-Bacterial Agents Models, Theoretical Drug Liberation
India Carbon Sequestration Environmental Monitoring Carbon Biomass
Lakes Salinity Archaea Bacteria Microbiota
Rivers Turkey Biodiversity Environmental Monitoring Animals

Classifications MeSH