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Microplastic as a vector of chemical contamination in the marine environment: A coupled Lagrangian-Eulerian approach
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This modeling study examined how microplastics floating at sea act as vectors for transporting hydrophobic chemical pollutants, and how their eventual sinking (after biofouling) affects pollutant distribution. The coupled Lagrangian-Eulerian approach improves predictions of chemical contamination patterns in ocean ecosystems.
Contamination by microplastics has become common in many environments, and particularly dangerous in marine ecosystems. During their journey at sea, floating microplastic particles affect both the biotic and the abiotic components of the seascape through ingestion by (or other physical interactions with) the marine biota. They also provide support for microbial growth (often resulting in reduced particle buoyancy and sinking), and exchange primary hydrophobic pollutants with seawater. These two latter processes, in particular, regulate the balance on the sea surface layers of both microplastics and the pollutants carried by them. Here we propose a novel modeling framework to account for the interactions between microplastics and hydrophobic chemicals in the marine environment. Our approach couples Lagrangian particle tracking with Eulerian advection-diffusion modeling of pollutants. Focusing on the Mediterranean Sea, we simulate two years of plastic particle motion and the concurrent pollutant exchanges occurring between plastic debris and the surrounding environment. As these interactions are found to significantly affect the concentration patterns of chemical pollution over the simulated period, we argue that further modeling research should account for coupled microplastics-pollutants dynamics towards a comprehensive assessment of the risks caused by plastic pollution on marine ecosystems.
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A coupled Lagrangian-Eulerian ocean model was developed to simulate microplastics as vectors for adsorbed chemical contaminants in the Mediterranean Sea, tracking plastic particle trajectories alongside pollutant exchange dynamics. The model demonstrates that microplastics can transport contaminants across basin-scale distances and deliver them to organisms far from the original pollution source.
The dynamics of microplastics and associated contaminants: Data-driven Lagrangian and Eulerian modelling approaches in the Mediterranean Sea
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Researchers developed computational models to simulate how microplastics and associated chemical pollutants move together through the ocean, accounting for both physical transport and the uptake and release of organic chemicals on plastic surfaces. The models showed that microplastics can act as long-distance carriers for sorbed pollutants, delivering them to marine ecosystems far from their sources. Data-informed modeling of coupled microplastic-chemical transport is important for understanding the full scope of the ecological risk posed by ocean plastic pollution.
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This comprehensive review synthesizes Lagrangian modeling approaches used to track the fate and transport of marine microplastics, covering particle dynamics, buoyancy, biofouling, and sedimentation processes across global ocean systems. The authors identify key knowledge gaps and recommend standardization of model parameters to improve predictions of plastic distribution and exposure risk.
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