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DOI | 10.1016/j.marpolbul.2020.110910 |
Numerical modeling of the beach process of marine plastics: A probabilistic and diagnostic approach with a particle tracking method | |
Hinata H.; Sagawa N.; Kataoka T.; Takeoka H. | |
发表日期 | 2020 |
ISSN | 0025326X |
卷号 | 152 |
英文摘要 | 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 (τr) and the period of nearshore current variability (T0). Based on the theory, the balance was expected to hold when τr/T0 was much smaller than 1; however, good agreement was obtained between the theory and the particle tracking method for much larger values of τr/T0. 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. © 2020 Elsevier Ltd |
英文关键词 | Beach process; Beaching and backwashing probabilities; Diagnostic approach; Particle tracking method; Partitioning coefficient; Residence time |
语种 | 英语 |
scopus关键词 | Elastomers; Linear systems; Numerical methods; Plastics; Residence time distribution; Back washing; Beach process; Diagnostic approach; Particle-tracking method; Partitioning coefficients; Residence time; Beaches; plastic; beach morphology; marine pollution; numerical model; partition coefficient; plastic waste; probability; residence time; Article; calculation; controlled study; count density; density; diffusion coefficient; Fourier transform; geographic distribution; particle tracking method; probability; process model; retention time; seashore; seasonal variation; statistical analysis; theory; velocity; environmental monitoring; swimming; system analysis; waste; Bathing Beaches; Environmental Monitoring; Plastics; Systems Analysis; Waste Products |
来源期刊 | Marine Pollution Bulletin |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/149190 |
作者单位 | Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan; IDEA Consultants, Inc., 2-2-2 Hayabuchi, Tsuzuki-ku, Yokohama, 224-0025, Japan; Tokyo University of Science, 2461 Yamazaki, Noda, Chiba 278-8510, Japan |
推荐引用方式 GB/T 7714 | Hinata H.,Sagawa N.,Kataoka T.,et al. Numerical modeling of the beach process of marine plastics: A probabilistic and diagnostic approach with a particle tracking method[J],2020,152. |
APA | Hinata H.,Sagawa N.,Kataoka T.,&Takeoka H..(2020).Numerical modeling of the beach process of marine plastics: A probabilistic and diagnostic approach with a particle tracking method.Marine Pollution Bulletin,152. |
MLA | Hinata H.,et al."Numerical modeling of the beach process of marine plastics: A probabilistic and diagnostic approach with a particle tracking method".Marine Pollution Bulletin 152(2020). |
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