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 their influence on footprint extension and gradients of depositional flux against a no-resuspension scenario. We performed simulations in both exposed and protected aquaculture locations, and at different stages of the Atlantic Salmon (Salmo salar) production cycle in Norway. Our results indicate that the use of sediment-dependent thresholds for resuspension has the potential to regulate the high levels of erosion produced when selecting a low critical value in constant-threshold approaches, particularly in dynamic environments with mixed sediment types.

为了有效预测对底栖生物的影响以及水产养殖海笼下有机物过度富集的风险，必须准确表示颗粒有机物（POM）的足迹。因此，必须在可用的数值模型中充分参数化和评估与底部相关的过程（如颗粒重悬）。我们在拉格朗日粒子跟踪模型中实现了两种方法来对POM重悬进行建模，并比较了无重悬情况下它们对足迹扩展和沉积通量梯度的影响。我们在裸露的和受保护的水产养殖场所以及大西洋鲑鱼（Salmo salar）的不同阶段进行了模拟）在挪威的生产周期。我们的结果表明，当在恒定阈值方法中选择较低的临界值时，尤其是在具有混合沉积物类型的动态环境中，使用取决于沉积物的阈值进行重悬浮有可能调节高水平的侵蚀。