0
Article Tier 2 Marine & Wildlife Sign in to save

Numerical Simulation of Transportation of Marine Microplastics A Review

Diqiu kexue jinzhan 2019 3 citations

AI summary Read the abstract

This review paper summarizes existing research on using computer models to study how microplastics move through the ocean, including effects of wind, waves, currents and particle size. It suggests future studies should combine sampling data with modeling to better predict microplastic distribution and improve the accuracy of these simulations.

Study Type Environmental

The temporal and spatial discontinuity of microplastic sampling data restricts the investigation on their source,sink,transport pathway and trend. Numerical simulation combined with sampling investigation can comprehensively study the effects of microplastic characteristics,meteorology and hydrodynamics on the distribution and transportation of microplastics. In this paper,the studies of microplastic numerical simulation were reviewed from the aspects of numerical simulating research and their applications in microplastic tranportation,and the results were summarized as follows:The construction of the main driving force(current); the influence of environmental factors,such as wind,waves,topography and extreme sea conditions on the properties of microplastics with different characteristics(particle size,density,shape)and their tranportation; the application of numerical simulation in the study of microplastic removal. Based on progress on the study of numerical simulation of marine microplastics,the future directions were pointed out that the further simulating studies should focuson the spatio-temporal distribution and evolvement of microplastics by combining sampling data and numerical model, the simulating research on the relationship between microplastic parameters (roughness,wind drag coefficient,settling rate,resuspension rate and biofouling rate)and(meteorological and ocean)dynamic condition. Moreover,the results of simulating sensitivity experiments should be compared with sampling and laboratory testing data to improve the empirical parameters and formulas of numerical model.

More Papers Like This

Article Tier 2

Using Numerical Model Simulations to Improve the Understanding of Micro-plastic Distribution and Pathways in the Marine Environment

AI summary Read the abstract

This review summarizes a decade of numerical models that simulate the ocean transport of microplastics, assessing how well different models capture the effects of currents, waves, and wind. The authors identify key uncertainties — especially around vertical mixing, beaching, and fragmentation — that limit the predictive accuracy of current models.

Article

Numerical Simulation of Transportation of Marine Microplastics: A Review

AI summary Read the abstract

This Chinese-language review synthesizes numerical simulation studies of microplastic transport in marine environments, examining how currents, wind, waves, topography, and extreme sea conditions affect microplastic distribution. The authors recommend future modeling efforts focus on spatio-temporal distribution using combined sampling and simulation data, with improved empirical parameters for processes such as biofouling and resuspension.

Article Tier 2

A review of methods for modeling microplastic transport in the marine environments

AI summary Read the abstract

This review systematically evaluated the advantages and limitations of various numerical modeling methods used to predict microplastic transport in marine environments, including key factors like parameterization of microplastic behaviors and beaching configurations.

Article Tier 2

Fate of microplastics and mesoplastics carried by surface currents and wind waves: A numerical model approach in the Sea of Japan

AI summary Read the abstract

A particle-tracking ocean model for the Sea of Japan showed that surface currents, wind waves, and Stokes drift all influence the distribution of floating microplastics, with model outputs matching field survey data. The study demonstrates the value of combining wave dynamics with current models to predict where microplastics accumulate in coastal seas.

Article Tier 2

Numerical modelling of the transport of microplastics in a wind-wave flume

AI summary Read the abstract

A combination of wave flume experiments and numerical modeling was used to track how microplastics move through nearshore waters under wave and wind conditions. The study found that wave-driven processes significantly affect the transport and deposition of microplastics in coastal zones, which act as both sources and sinks for ocean plastic. Improved models incorporating wave dynamics are needed to accurately predict where coastal microplastics end up.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper