3D hotspots of marine litter in the Mediterranean: A modeling study. (June 2020)

• Record Type: Journal Article
• Authors: Soto-Navarro, Javier; Jordá, Gabriel; Deudero, Salud; Alomar, Carme; Amores, Ángel; Compa, Montserrat
• Is Part Of: Marine pollution bulletin. Volume 155(2020)
• Publication Date: 2020-06
• Subjects: Marine pollution -- Marine litter -- Mediterranean Sea -- Plastic pollution -- Lagrangian models -- 3D circulation; Marine pollution -- Periodicals; Marine Biology -- Periodicals; Water Pollution -- Periodicals; Mer -- Pollution -- Périodiques; Publications périodiques; Pollution des mers; Lutte antipollution; Electronic journals; 363.7394
• DOI: 10.1016/j.marpolbul.2020.111159
• Languages: English
• ISSNs: 0025-326X

Abstract

Abstract: The 3D dispersion of marine litter (ML) over the Mediterranean basin has been simulated using the velocity fields from a high resolution circulation model as base to run a 3D Lagrangian model. Three simulations have been performed to mimic the evolution of ML with density lower, similar, or higher than seawater. In all cases a realistic distribution of ML sources was used. Our results show that the accumulation/dispersion areas of the floating and buoyancy neutral particles are practically the same, although the latter are distributed in the water column, 80% of them found in the photic layer (average depth of 35m). Regarding to the densest particles, they rapidly sink and reach the seafloor close to their source. The regions of higher temporal variability mostly coincide with the ML accumulation regions. Weak seasonal variability occurs at a sub-basin scale as a result of the particles redistribution induced by the seasonal variability of the current field. Highlights: The 3D dispersion of marine litter in the Mediterranean Sea is characterized. Different polymer densities are simulated. The accumulation/dispersion regions and their temporal evolution are identified. The contribution of non-floating litter is very relevant. Robustness of the results is evaluated comparing with previous studies.