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Identifying the Origins of PET Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation
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Researchers used Lagrangian ocean simulations to backtrack PET nanoplastics found at 5,170 meters depth in the South Atlantic Ocean to their likely sources. The modeling suggested the particles originated from coastal areas and were transported to the deep sea through ocean circulation over years to decades. The findings demonstrate that nanoplastics can reach the deepest parts of the ocean far from their land-based origins.
During an expedition in January 2020, nanoplastics were sampled at a depth of -5170m over Cape Basin in the South Atlantic Ocean. Using photo-induced force microscopy, it was identified that these were polyethylene terephthalate (PET) particles with an approximate diameter of 50 nm at different stages of degradation. Using a state-of-the-art Lagrangian 3D simulation that includes an idealized fragmentation scheme, we backtracked virtual particles from the sampling location to establish the possible origins of the PET nanoplastics. We performed several simulations with different fragmenting timescales, for 13 years from the date of sampling, using the GLO12V3R1 hydrodynamic data from Copernicus Marine Environment Monitoring Service. We found that the nanoparticles (smaller than 1μm) could not have fragmented into nanoplastics at the surface and reached the sampling location within 13 years. The most likely scenario is that these particles started to sink from the surface as microplastics (larger than 1μm) and then fragmented in the water column far from the surface. This suggests that the fragmentation happened through processes like slow thermal oxidative degradation or hydrolysis and not photodegradation. We also found that less than 0.2% of the virtual particles came from the coast and that the fragmentation timescale prescribed to the modelled particles, affects how they drift in the ocean by controlling the time they drift at different depths. This study contributes to understanding the fate and sources of nanoplastics suspended deep in the ocean.
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Backtracking nanoplastics found in the abyssal South Atlantic using Lagrangian simulations with fragmentation
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Using ocean current modeling, researchers traced nanoplastics collected at 5,170 meters depth in the South Atlantic abyssal zone back to their likely origin, identifying sources in West African and South American coastal regions. The modeling showed that these deep-sea nanoplastics had traveled thousands of kilometers while also fragmenting into smaller particles during transport. The study provides evidence that nanoplastics can reach even the deepest ocean trenches through a combination of current transport and progressive fragmentation.
Identifying the origins of nanoplastics in the abyssal South Atlantic using backtracking Lagrangian simulations with fragmentation
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Researchers used a Lagrangian 3D model incorporating fragmentation processes to backtrack nanoplastic particles (identified as PET-like by photo-induced force microscopy) sampled at 5,170 m depth in the South Atlantic abyssal zone to identify their likely ocean surface origins. The fragmentation scheme strongly influenced particle drift trajectories by affecting sinking velocity, and the analysis found it highly unlikely the particles entered the ocean already as nanoplastics, contributing to understanding of deep-sea nanoplastic sources.
Supporting Data for "Identifying the Origins of Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation"
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Researchers provided supporting simulation data and analysis code for a study tracing the origins of nanoplastics found in the abyssal South Atlantic Ocean using backtracking Lagrangian particle simulations that incorporated plastic fragmentation dynamics. The repository includes the computational tools and supplementary documentation used in the associated manuscript.
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This thesis advances understanding of nanoplastic origins, transport, and fate in the ocean using numerical Lagrangian simulations, computing virtual particle trajectories to reconstruct transport pathways, infer pollution sources, and assess accumulation dynamics of nanoplastics in marine environments.
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