FN Archimer Export Format
PT J
TI Automating the characterisation of beach microplastics through the application of image analyses
BT 
AF Gauci, Adam
   Deidun, Alan
   Montebello, John
   Abela, John
   Galgani, Francois
AS 1:1;2:1;3:1;4:2;5:3;
FF 1:;2:;3:;4:;5:PDG-ODE-LITTORAL-LERPAC;
C1 Department of Geosciences, Faculty of Science, University of Malta, Msida, Malta
   Department of Computer Information Systems, Faculty of ICT, University of Malta, Msida, Malta
   Station de Corse, IFREMER, Immeuble Agostini- Z.I, Furiani, 20600, Bastia, Corsica, France
C2 UNIV MALTA, MALTA
   UNIV MALTA, MALTA
   IFREMER, FRANCE
SI CORSE
SE PDG-ODE-LITTORAL-LERPAC
IN WOS Ifremer UPR
   copubli-europe
IF 2.482
TC 22
UR https://archimer.ifremer.fr/doc/00513/62471/69557.pdf
LA English
DT Article
DE ;Image processing;Microplastics;Parameterisation;Monitoring obligations;Marine litter
AB Four 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. 
PY 2019
PD DEC
SO Ocean & Coastal Management
SN 0964-5691
PU Elsevier BV
VL 182
UT 000498753700010
DI 10.1016/j.ocecoaman.2019.104950
ID 62471
ER

EF