| bibtype |
A -
Abstract
|
| ARLID |
0638917 |
| utime |
20251007083135.7 |
| mtime |
20250916235959.9 |
| title
(primary) (eng) |
Atmospheric microplastics modelling and quantification using Gibbs sampler |
| specification |
| page_count |
1 s. |
| media_type |
E |
|
| serial |
| title
|
Abstract Book of European Aerosol Conference 2025 (EAC 2025) |
| publisher |
| place |
Bologna |
| name |
Italian Aerosol Society |
| year |
2025 |
|
|
| keyword |
atmospheric microplast |
| keyword |
spatial-temporal patterns |
| keyword |
FLEXPART 11 |
| author
(primary) |
| ARLID |
cav_un_auth*0267768 |
| name1 |
Tichý |
| name2 |
Ondřej |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0363740 |
| name1 |
Evangeliou |
| name2 |
N. |
| country |
NO |
|
| author
|
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0457087 |
| name1 |
Košík |
| name2 |
Václav |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA24-10400S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0464279 |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0493168 |
| name |
European Aerosol Conference 2025 |
| dates |
20250831 |
| mrcbC20-s |
20250905 |
| place |
Lecce |
| country |
IT |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2026 |
| num_of_auth |
4 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0370098 |
| mrcbC61 |
1 |
| confidential |
S |
| arlyear |
2025 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
Abstract Book of European Aerosol Conference 2025 (EAC 2025) Italian Aerosol Society 2025 Bologna |
|