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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F24%3A00581636" target="_blank" >RIV/67985858:_____/24:00581636 - isvavai.cz</a>

  • Result on the web

    <a href="https://hdl.handle.net/11104/0349747" target="_blank" >https://hdl.handle.net/11104/0349747</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.scitotenv.2024.170303" target="_blank" >10.1016/j.scitotenv.2024.170303</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 n31 certain homogeneity in PM2.5 composition within Central Europe at least during the sampling periods.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/GC20-08304J" target="_blank" >GC20-08304J: Transport and transformation of atmospheric aerosol across Central Europe with emphasis on anthropogenic sources</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Science of the Total Environment

  • ISSN

    0048-9697

  • e-ISSN

    1879-1026

  • Volume of the periodical

    916

  • Issue of the periodical within the volume

    15 March

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    18

  • Pages from-to

    170303

  • UT code for WoS article

    001173751500001

  • EID of the result in the Scopus database

    2-s2.0-85183951946