Atmospheric microplastics modelling and quantification using Gibbs sampler

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00638917" target="_blank" >RIV/67985556:_____/25:00638917 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Atmospheric microplastics modelling and quantification using Gibbs sampler
Original language description
Atmospheric microplastics budget is estimated and associated uncertainties are quantified. We use microplastics measurement data from remote areas and national parks in the United States (Brahney et al., 2020) to estimate atmospheric microplastics budget. Since the number of unknowns in spatial-temporal domain (Eastern US) is much larger than the number of measurements, we regularize the space of possible solutions using spatial-temporal patterns from previously reported sources, namely mineral dust, road dust, agriculture, sea spray and ocean surface. In inversion scheme, we optimize measurements and patterns footprints linked to these measurements with the use of calculated source-receptor-sensitivities from the atmospheric transport model FLEXPART 11.
Czech name
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Czech description
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Project
<a href="/en/project/GA24-10400S" target="_blank" >GA24-10400S: Advanced Bayesian methods for estimation of atmospheric pollutant sources</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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