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An accurate representation of the particle organic matter (POM) footprint is necessary in order to effectively predict impacts upon benthic communities and the risk of excessive organic enrichment beneath aquaculture sea-cages. Consequently, bottom-related processes such as particle resuspension must be adequately parametrized and evaluated in the available numerical models. We implemented two approaches to model POM resuspension in a Lagrangian particle tracking model and compared theirdoi:10.1016/j.marpolbul.2020.111685 pmid:33039715 fatcat:6u7oow66hzgnfjlcbt7rqwxw4e