A laboratory dataset on transport and deposition of spherical and cylindrical large microplastics for validation of numerical models

From National Research Council Canada

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DOI	Resolve DOI: https://doi.org/10.3390/jmse12060953
Author	Search for: Bigdeli, Mostafa ORCID identifier: https://orcid.org/0000-0001-8863-9797; Search for: Mohammadian, Abdolmajid ORCID identifier: https://orcid.org/0000-0001-5381-8189; Search for: Pilechi, Abolghasem¹
Affiliation	National Research Council Canada. Ocean, Coastal and River Engineering
Funder	Search for: National Research Council Canada; Search for: Natural Sciences and Engineering Research Council of Canada
Format	Text, Article
Subject	microplastics transport; microplastics deposition; cylindrical particle; spherical particle; trap efficiency
Abstract	The widespread presence of micro-sized plastic pollution has raised concerns due to their unique physical and toxic properties. Each year, water bodies carry millions of tons of plastic into the ocean. The inherent characteristics (such as size, shape, and density) of microplastics (MPs), along with flow factors like speed, depth, and pressure, significantly influence how MPs are transported and deposited. Therefore, this research aimed to gather experimental data on the transport and deposition of MPs to serve as a benchmark for numerical modeling. To achieve this goal, various test scenarios were set up in a straight channel flume to investigate different flow velocities, channel dimensions, and particle shapes. It was observed that cylindrical particles with the same density and similar size were more likely to become trapped compared to spherical particles. This study represents progress towards validating numerical models concerning the transport and deposition of microplastics.
Publication date	2024-06-06
Publisher	MDPI
Licence	Creative Commons, Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
In	Journal of Marine Science and Engineering 12, no. 6, 953 (6 June 2024): 1–14.
Language	English
Peer reviewed	Yes
Identifier	jmse12060953
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Record identifier	cd0b0017-7733-4621-b6c6-89424d2cbf7f
Record created	2024-09-04
Record modified	2025-11-03

Date modified:: 2026-01-16