Positive matrix factorization of seasonally resolved organic aerosol at three different Central European background sites based on nuclear magnetic resonance Aerosolomics data

0581636 - ÚCHP 2025 RIV NL eng J - Článek v odborném periodiku
Horník, Štěpán - Pokorná, Petra - Vodička, Petr - Lhotka, Radek - Sýkora, J. - Arora, S. - Poulain, L. - Herrmann, H. - Schwarz, Jaroslav - Ždímal, Vladimír
Positive matrix factorization of seasonally resolved organic aerosol at three different Central European background sites based on nuclear magnetic resonance Aerosolomics data.
Science of the Total Environment. Roč. 916, 15 March (2024), č. článku 170303. ISSN 0048-9697. E-ISSN 1879-1026
Grant CEP: GA ČR(CZ) GC20-08304J
Grant ostatní: DFG(DE) 431895563
Institucionální podpora: RVO:67985858
Klíčová slova: atmospheric aerosols * NMR aerosolomics * source apportionment * central europe * atmospheric aerosols
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 9.8, rok: 2022
Způsob publikování: Open access s časovým embargem

Concentration data derived from 1 14 H NMR analysis of the water-soluble organic compounds from fine aerosol (PM2.5) at three Central European background stations, Košetice, Frýdlant (both in the Czech Republic), and Melpitz (Germany), were used for detailed source apportionment analysis. Two winter and two summer episodes (year 2021) with higher organic concentrations and similar wind directions were selected for NMR analyses. The concentration profiles of 61 water-soluble organic compounds were determined by NMR Aerosolomics and a principal component analysis (PCA) was performed on this dataset. Based on the PCA results, 23 compounds were selected for positive matrix factorization (PMF) analysis in order to identify dominant aerosol sources at rural background sites in Central Europe. Both the PCA and the subsequent PMF analyses clearly distinguished the characteristics of winter and summer aerosol particles. In summer, four factors were identified from PMF and were associated with biogenic aerosol (61-78%), background aerosol (9-15%), industrial biomass combustion (7-13%), and residential heating (5-13%). In winter, only 3 factors were identified - industrial biomass combustion (33-49%), residential heating (37-45%) and a background aerosol (8-30%). The main difference was observed in the winter season with a stronger contribution of emissions from industrial biomass burning at the Czech stations Košetice and Frýdlant (47-49%) compared to the Melpitz station (33%). However, in general, there were negligible differences in identified sources between stations in the given seasons, indicating a
31 certain homogeneity in PM2.5 composition within Central Europe at least during the sampling periods.
Trvalý link: https://hdl.handle.net/11104/0349747