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Composition and sources of atmospheric trace elements at three urban sites in Helsinki, Finland

  • Minna Aurela*
  • , K. Saarnio
  • , Jarkko Niemi
  • , Enna Turunen
  • , K. Teinilä
  • , Anu Kousa
  • , H. E. Manninen
  • , J. Hoivala
  • , Mika Vestenius
  • , T. Rönkkö
  • , Anssi Järvinen
  • , Hilkka Timonen
  • , Sanna Saarikoski
  • *Corresponding author for this work
  • Finnish Meteorological Institute (FMI)
  • Helsinki Region Environmental Services Authority (HSY)
  • Tampere University

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This study applies a positive matrix factorization (PMF) model to identify the sources of ambient fine (PM2.5) and coarse (PM2.5-10) particulate matter at two traffic sites and one urban background site in Helsinki, Finland. Over 700 24-h PM2.5 and PM10 filter samples were analysed using energy dispersive X-ray fluorescence, which quantified 12–19% of PM2.5 and 22–29% of PM10 mass. In the coarse particle fraction, Si had the highest concentrations, followed by Fe, Al, and Ca, while S, Fe, and either Na or Ca dominated the fine particle fraction. A 5-factor solution best represented the elemental sources, identifying Dust, Non-Exhaust Emissions (NEE), Aged Salt, Fresh Salt, and a mixed factor called here as Combustion/Secondary inorganic aerosol (SIA). Dust had the highest contribution at all sites, except for PM2.5 at the urban background site, where Combustion/SIA was dominant. Dust was characterized by Al, Si, and Ti, while Combustion/SIA by S, V, Ni, Pb, and Se. Fresh salt was dominated by Cl, and Aged salt by Na and Mg. NEE was enriched in Cr, Fe, Cu, Zn, Ba, and Zr, suggesting primarily brake wear with possible tyre-wear contributions. Size distributions, measured with a 13-stage impactor at one of the sites, showed that elements related to Dust peaked at 5.6–10 μm and Combustion/SIA at 0.2–0.6 μm. Elements associated with NEE exhibited bimodal behaviour (<1 μm and 3–10 μm). In addition to ambient measurements, brake wear particles were studied in the laboratory to support the interpretation of source apportionment analysis.

Original languageEnglish
Article number122233
JournalAtmospheric Environment
Volume382
DOIs
Publication statusPublished - 2026
MoE publication typeA1 Journal article-refereed

Funding

This work was done as a part of the NEX-EL project (7915/31/2022) funded by Business Finland, Helsinki Region Environmental Services Authority HSY, and participating companies, and the Research Council of Finland funding (grant no. 354844). Funding from the European Union Horizon 2020 research and innovation programme under Grant agreement No 101036245 (RIURBANS) is acknowledged. Filter samples originate from the projects ‘Quality program for air quality measurements: Demonstration of equivalence of PM10 and PM2.5 automated measurement systems in Finland 2022–2023’ and ‘Quality program for air quality measurements: Ongoing verification of suitability of automated measuring systems 2024’, both funded by the Ministry of the Environment and Finnish Meteorological Institute. This work belonged to the ACCC (Atmosphere and Climate Competence Center)-flagship (grant no. 337552, 337551) funded by the Research Council of Finland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Air quality
  • Non-exhaust emissions
  • Particulate matter
  • PMF
  • Source apportionment
  • Trace elements
  • XRF

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