0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Food & Water Human Health Effects Sign in to save

Numerical Prediction of the Short-Term Trajectory of Microplastic Particles in Laizhou Bay

Water 2019 20 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Yu Ding, Haifei Liu, Wei Yang

Summary

Researchers used the lattice Boltzmann method coupled with Lagrangian particle tracking to numerically predict the short-term trajectories of microplastic particles released from four river mouths around Laizhou Bay, China, over a 30-day period. The model incorporated inter-particle and particle-wall collisions to simulate how riverine microplastic inputs disperse in this coastal environment and potentially enter the food chain.

Study Type Environmental

Microplastic particles are easily captured by microorganisms and enter the food chain, which poses a threat to ecological health. These particles are abundant in coastal areas because of the influence of anthropic activities and the interaction between the sea and land. Although much research on microplastics has been done, predicting the transportation of microplastic particles in coastal zones is still a challenge. In this paper, the trajectories of microplastic particles released from four river mouths around Laizhou Bay are investigated using the lattice Boltzmann method coupled with the Lagrangian particle-tracking method, involving inter-particle and particle-wall collisions. The trajectories of particles released from four river mouths are recorded within 30 days.

Share this paper