2022
DOI: 10.3389/fmars.2022.886295
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Modeling drift and fate of microplastics in the Baltic Sea

Abstract: Marine plastic litter has been recognized as a growing problem and a threat to the marine environment and ecosystems, although its impacts on the marine life are still largely unknown. Marine protection and conservation actions require a detailed knowledge of the marine pathways, sources, and sinks of land-emitted plastic pollution. Model-based assessments provide a systematic way to map the occurrence of microplastics in the marine environment and to link the coastal sources to the accumulation zones in the s… Show more

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Cited by 10 publications
(3 citation statements)
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“…Hydrodynamic conditions for both the near-field and far-field models were simulated with the HBM three-dimensional baroclinic ocean circulation model employed for the Baltic Sea forecasting service (SI section S3). …”
Section: Methodsmentioning
confidence: 99%
“…Hydrodynamic conditions for both the near-field and far-field models were simulated with the HBM three-dimensional baroclinic ocean circulation model employed for the Baltic Sea forecasting service (SI section S3). …”
Section: Methodsmentioning
confidence: 99%
“…Biofilm growth was calculated as a function of ecological and environmental parameters, derived from biogeochemical models. For the Baltic Sea, chlorophyll a concentration was used to calculate biofilm growth (Murawski et al, 2022), while for the Mediterranean Sea, algae concentration was used (Tsiaras et al, 2021).…”
Section: Marine Plastic Modeling and Assessmentmentioning
confidence: 99%
“…Plastic products are widely used in human life and industry production due to their low cost, high ductility and stable properties (Paul-Pont et al, 2018;Murawski et al, 2022). Plastics can be classified into five types according to diameter: macroplastics (>25 mm), mesoplastics (1-25 mm), large microplastics (1-5 mm), small microplastics (1-1000 mm), and nanoplastics(<1 mm) (Eriksen et al, 2014;Dris et al, 2015;Alimi et al, 2018;Hanvey, 2023).…”
Section: Introductionmentioning
confidence: 99%