0
Article Tier 2 Marine & Wildlife Sign in to save

Particle Tracking Model

AI summary Read the abstract

This is a numerical model dataset examining how microplastics absorbed into phytoplankton aggregates settle and cycle through ocean waters — not a standalone research article.

Study Type Environmental

Open Research for this paper: A numerical model approach toward a settling process and feedback loop of ocean microplastics absorbed into phytoplankton aggregates.

More Papers Like This

Article Tier 2

A Numerical Model Approach Toward a Settling Process and Feedback Loop of Ocean Microplastics Absorbed Into Phytoplankton Aggregates

AI summary Read the abstract

Researchers developed a numerical model to simulate how buoyant microplastics are absorbed into sinking phytoplankton aggregates during algal blooms, causing them to settle toward the seafloor at measurable rates. The model successfully reproduced observed vertical profiles of microplastic abundance in the ocean, including subsurface concentration peaks that simple buoyancy models cannot explain. This work clarifies an important mechanism by which microplastics are transported from the ocean surface to deep sediments, where they accumulate long-term.

Article Tier 2

Biofouled Microplastics Particle Data

AI summary Read the abstract

This dataset contains particle data supporting a modeling study of how biofouling affects the vertical trajectories of submerged microplastics in the ocean water column.

Article Tier 2

Understanding the Microplastic ‘model’: Applications of Modelling to Track Microplastics in Aquatic Ecosystems

AI summary Read the abstract

Researchers reviewed mathematical modelling techniques used to track how microplastics move and spread through rivers, oceans, and other aquatic environments. Understanding these models is critical for predicting where plastic pollution accumulates and which ecosystems and communities face the greatest exposure risk.

Article Tier 2

On some physical and dynamical properties of microplastic particles in marine environment

AI summary Read the abstract

This study examined the physical and dynamical properties of microplastic particles in marine environments, using modeling to predict how particle shape, density, and size govern transport, dispersion, and accumulation patterns.

Article Tier 2

Sedimentation behavior of aggregated microplastics: Influence of particle size and water constituents in environmental waters

AI summary Read the abstract

Laboratory experiments investigated how aggregation of microplastics with sediments and organic matter affects their sinking rates in water, finding that aggregate composition strongly influences settling velocity. These findings improve models predicting whether microplastics sink to the seafloor or remain suspended in the water column.

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