0
Article Tier 2 Sign in to save

Supplementary material to "Global continental and oceanic emissions of atmospheric microplastics inferred from pattern-restricted Bayesian inversion"

2026

No summary available — this paper's abstract is not included in the open metadata provided by the publisher. Learn why →

More Papers Like This

Article Tier 2

Global continental and oceanic emissions of atmospheric microplastics inferred from pattern-restricted Bayesian inversion

AI summary Read the abstract

Scientists estimate the world releases about a million tons of tiny plastic particles into the air each year, with ocean spray being the biggest surprise source, more than farming, roads, or dust combined. This matters because it means the air we breathe likely contains more ocean-derived microplastics than previously thought, raising new questions about our everyday exposure.

Article Tier 2

Atmospheric microplastics emissions estimation and uncertainty quantification using Gibbs sampler

AI summary Read the abstract

Researchers developed a Bayesian inverse modeling approach using a Gibbs sampler to estimate spatiotemporal atmospheric microplastic emissions from concentration measurements, finding that incorporating agricultural, road dust, and ocean emission patterns as regularization priors substantially reduces uncertainty in emission estimates.

Article Tier 2

Global Emissions of Atmospheric Microplastics Revealed From Inverse Modelling

AI summary Read the abstract

This study used inverse modeling to estimate global atmospheric emissions of microplastics, finding that airborne transport is a significant pathway in the global plastic cycle. Results suggest substantial emissions contribute to long-range atmospheric transport of microplastic particles.

Article Tier 2

Sources and fate of atmospheric microplastics revealed from inverse and dispersion modelling: From global emissions to deposition

AI summary Read the abstract

Researchers combined atmospheric observations and inverse modeling to estimate global microplastic emissions at 9.6 megatons per year, then used dispersion modeling to trace sources and deposition patterns from emissions to atmospheric fallout worldwide.

Article Tier 2

Atmospheric microplastic emissions from land and ocean

AI summary Read the abstract

Researchers compiled a comprehensive atmospheric microplastic dataset and derived top-down and bottom-up emission estimates for particles in the 5-100 micrometer size range from both land and ocean sources, providing gridded emissions data in multiple formats for use in atmospheric transport modelling.

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