0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Sign in to save

Distribution of plastics of various sizes and densities in the global ocean from a 3D Eulerian model

arXiv (Cornell University) 2024 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Z. Jack Tseng, Yue Wu, Dimitris Menemenlis, G Q Wang, Christopher S. Ruf, Yulin Pan

Summary

Researchers developed a 3D Eulerian ocean transport model to simulate the global distribution of microplastics of varying sizes and densities, incorporating particle-specific vertical terminal velocity calculations driven by ECCO ocean current data. The model revealed that particle size and density critically determine vertical distribution patterns, with smaller and denser particles sinking more rapidly and accumulating in distinct ocean depth zones.

Study Type Environmental

We develop a 3D Eulerian model to study the transport and distribution of microplastics in the global ocean. Among other benefits that will be discussed in the paper, one unique feature of our model is that it takes into consideration the effect of properties of particles (size and density, the former for the first time) to their vertical terminal velocity. With ocean current velocity taken from ECCOv4r4, a dataset generated from a data-assimilated MITgcm reanalysis, our model is integrated for 26 years for particles of different properties with their stationary patterns studied. We find that only low-density particles with sufficient size (e.g. density $900kg/m^3$ with size $\gtrsim 10 μm$) aggregate in the five subtropical gyres observed in previous studies. In contrast, particles of smaller size ($\sim 1 μm$), irrespective of their density, behave like neutrally buoyant particles with a weaker pattern on the surface and a deeper penetration into depth (up to about 1km deep). In addition, we observe seasonal variations of floating particle concentration on the ocean surface, which reasonably agree with the satellite observation by Cyclone Global Navigation Satellite System (CYGNSS) in terms of the phase of the variation. We find that the seasonal variation of the surface particle concentration correlates well with the variation of the mixing layer (ML) depth globally, due to an almost uniform vertical distribution of particles in the ML with total amount of particles conserved.

Share this paper