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Quantifying the influence of size, shape, and density of microplastics on their transport modes: A modeling approach

Marine Pollution Bulletin 2024 19 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yi-Ting Huang, Yi-Ting Huang, Ziyi Yang, Tianbo Wang, Benjamin Maurer Tianbo Wang, Benjamin Maurer Mark S. Wigmosta, Ning Sun, Benjamin Maurer Ning Sun, Benjamin Maurer Tianbo Wang, Benjamin Maurer Benjamin Maurer Benjamin Maurer Benjamin Maurer Zhuoran Duan, Zhuoran Duan, Ning Sun, Ning Sun, Zhuoran Duan, Mark S. Wigmosta, Mark S. Wigmosta, Zhuoran Duan, Zhuoran Duan, Mark S. Wigmosta, Mark S. Wigmosta, Benjamin Maurer Benjamin Maurer Benjamin Maurer

Summary

Researchers developed a computer model that predicts how microplastics of different sizes, shapes, and densities move through ocean water. The model accurately simulates whether particles float on the surface, stay suspended in the water column, or settle to the bottom. Understanding how microplastics travel through marine environments is important for predicting where contamination accumulates and which seafood sources are most likely to be affected.

Study Type Environmental

Microplastics (MPs) pose significant risks to marine ecosystems and human health, necessitating accurate predictions of their distributions in aquatic environments for effective risk mitigation. However, understanding MP transport dynamics is challenging because of the inadequate representation of MP characteristics such as size, shape, and density in numerical models. Further, the accuracy of the MP vertical profiles in existing models has not been thoroughly validated. Thus, we developed an MP transport model within the Finite Volume Community Ocean Model framework (FVCOM-MP) by integrating MP characteristics. We validated FVCOM-MP against experimental and analytical data, focusing on various MP transport modes and transitions. FVCOM-MP successfully replicates MP profiles in different transport modes, including the bedload, surface load, suspended load, and mixed load modes. Additionally, we introduce phase diagrams for classifying MP transport modes based on particle characteristics, enhancing our understanding of MP dynamics in aquatic systems. The transport modes for a number of real-world MP particles, including fishing line, plastic bag/bottle fragments, synthetic fibers, tire wear particles, polyvinyl chloride and expanded polystyrene pellets, were analyzed with these phase diagrams.

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