0619384 20250526123951.220250505235959.9 10.5194/egusphere-egu25-11924 1 s. cav_un_epca*0619810GöttingenEuropean Geosciences Union2025 cav_un_auth*0267768 Tichý Ondřej UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0457087 Košík Václav UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101207 Šmídl Václav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0363740 Evangeliou N. NO https://library.utia.cas.cz/separaty/2025/AS/tichy-0619384.pdf GA24-10400S GA ČR CZ cav_un_auth*0464279 This study quantifies microplastics based on atmospheric concentration measurements, achieved by optimizing the measurements against the theoretical output of an atmospheric transport model. The core of our contribution is addressing the severe ill-posedness of this inverse problem, as the solution space for spatial-temporal emissions is much larger than the number of available measurements. For regularization of the inverse problem, we assume that microplastics sources follow patterns from agriculture, dust, road dust, and ocean emissions. The emissions are mapped to measurements using source-receptor sensitivity relations, forming an optimization problem. To rigorously estimate emissions and precisely quantify the associated uncertainties, we developed a hierarchical prior model, whose parameters are estimated using a Gibbs sampler. Our results show that the estimates are significantly uncertain, with standard deviations often being about the same size as the mean values. We conclude that uncertainties are reasonably quantified considering the issue related to the microplastics measurements and modeling. cav_un_auth*0487401 EGU General Assembly 2025 20250427 20250502 Vienna AT 2026 4 2 O 4 4o 4 20250526123943.8 4 20250526123951.2 PO RVO:67985556 https://hdl.handle.net/11104/0366455 1 S 2025 Soubory v repozitáři: 0619384.pdf SCOPUS PUBMED WOS cav_un_epca*0619810 EGU General Assembly 2025 Göttingen European Geosciences Union 2025