Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/54031
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGauci, Adam-
dc.contributor.authorDeidun, Alan-
dc.contributor.authorMontebello, John-
dc.contributor.authorAbela, John-
dc.contributor.authorGalgani, Francois G.-
dc.date.accessioned2020-04-09T13:33:59Z-
dc.date.available2020-04-09T13:33:59Z-
dc.date.issued2019-
dc.identifier.citationGauci, A., Deidun, A., Montebello, J., Abela, J., & Galgani, F. (2019). Automating the characterisation of beach microplastics through the application of image analyses. Ocean & Coastal Management, 182, 104950en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/54031-
dc.description.abstractFour sandy beaches on the island of Malta in the Central Mediterranean were regularly sampled for Large MicroPlastic (LMP) particles having a diameter between 1 mm and 5 mm, at stations located at the waterline and 10 m inshore. The 10975 extracted LMP particles were characterised (dimensions, surface roughness, colour) through unaided visual observation, microscopic analyses, and an algorithm developed within the current study. Two-thirds of the isolated particles were smooth and the majority of these belonged to the grey-white colour category, with a low degree of opaqueness and discolouration, and a high degree of transparency, suggesting that these were dominated by low-density polyethylene LMPs. Conflicting evidence concerning the relative residence time of the isolated LMPs within seawater emerged from the colour and contour roughness determination, although an abundance of primary LMPs (production pellets) within our sample might have been responsible for the low contour roughness results obtained. Roughly six times as many particles were recorded within the inshore sampling stations as the particles recorded at the waterline stations. The developed algorithm performed very well when the dimension and colour parameter values it delivered were compared with those obtained by microscopic analyses.en_GB
dc.language.isoenen_GB
dc.publisherElsevier Ltd.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectImage processing -- Data processingen_GB
dc.subjectMicroplastics -- Analysisen_GB
dc.subjectMarine debrisen_GB
dc.titleAutomating the characterisation of beach microplastics through the application of image analysesen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1016/j.ocecoaman.2019.104950-
dc.publication.titleOcean & Coastal Managementen_GB
Appears in Collections:Scholarly Works - FacSciGeo

Files in This Item:
File Description SizeFormat 
Automating_the_characterisation_of_beach_microplastics_through_the_application_of_image_analyses.pdf
  Restricted Access
1.96 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.