Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan.
Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan; IDEA Consultants, Inc., 2-2-2 Hayabuchi, Tsuzuki-ku, Yokohama 224-0025, Japan.
Mar Pollut Bull. 2020 Mar;152:110910. doi: 10.1016/j.marpolbul.2020.110910. Epub 2020 Feb 17.
A model of the beach process of marine plastics was proposed based on the assumption of the beaching and backwashing flux balance, and its applicability was examined by means of time-invariant linear system analysis and particle tracking experiments with respect to the ratio between the residence time of plastics on a beach (τ) and the period of nearshore current variability (T). Based on the theory, the balance was expected to hold when τ/T was much smaller than 1; however, good agreement was obtained between the theory and the particle tracking method for much larger values of τ/T. The parameters, which are diagnostically given in the model, will be prognostically decided by the coastal dynamics in the future to develop robust beach process models. Nevertheless, we believe that a diagnostic approach would be another pillar in the strategy for estimating the amounts and distributions of marine plastics in the coming years.
提出了一个基于海滩冲淤通量平衡假设的海洋塑料海滩过程模型，并通过时不变线性系统分析和颗粒示踪实验，检验了该模型对塑料在海滩上的停留时间（τ）与近岸流变化周期（T）之间比值的适用性。基于该理论，当 τ/T 远小于 1 时，预计平衡将成立；然而，对于 τ/T 较大的值，理论与颗粒示踪方法之间却得到了很好的一致性。该模型中的参数在诊断上是给定的，将来将由沿海动力来预测，以开发稳健的海滩过程模型。尽管如此，我们认为，在未来几年中，估计海洋塑料的数量和分布的策略中，诊断方法将是另一个重要支柱。
