Number of the records: 1
Positive matrix factorization of seasonally resolved organic aerosol at three different Central European background sites based on nuclear magnetic resonance Aerosolomics data
- 1.
SYSNO ASEP 0581636 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Positive matrix factorization of seasonally resolved organic aerosol at three different Central European background sites based on nuclear magnetic resonance Aerosolomics data Author(s) Horník, Štěpán (UCHP-M) ORCID, RID, SAI
Pokorná, Petra (UCHP-M) ORCID, RID, SAI
Vodička, Petr (UCHP-M) RID, ORCID, SAI
Lhotka, Radek (UCHP-M) RID, SAI
Sýkora, J. (CZ)
Arora, S. (DE)
Poulain, L. (DE)
Herrmann, H. (DE)
Schwarz, Jaroslav (UCHP-M) RID, ORCID, SAI
Ždímal, Vladimír (UCHP-M) RID, ORCID, SAIArticle number 170303 Source Title Science of the Total Environment. - : Elsevier - ISSN 0048-9697
Roč. 916, 15 March (2024)Number of pages 18 s. Publication form Print - P Language eng - English Country NL - Netherlands Keywords atmospheric aerosols ; NMR aerosolomics ; source apportionment ; central europe ; atmospheric aerosols OECD category Meteorology and atmospheric sciences R&D Projects GC20-08304J GA ČR - Czech Science Foundation (CSF) Method of publishing Open access with time embargo (16.03.2026) Institutional support UCHP-M - RVO:67985858 UT WOS 001173751500001 EID SCOPUS 85183951946 DOI 10.1016/j.scitotenv.2024.170303 Annotation 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.Workplace Institute of Chemical Process Fundamentals Contact Eva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227 Year of Publishing 2025 Electronic address https://hdl.handle.net/11104/0349747
Number of the records: 1