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Variation of Absorption Ångström Exponent in Aerosols From Different Emission Sources

  • Aku Helin*
  • , Aki Virkkula
  • , John Backman
  • , Liisa Pirjola
  • , Olli Sippula
  • , Päivi Aakko-Saksa
  • , S. Väätäinen
  • , F. Mylläri
  • , A. Järvinen
  • , M. Bloss
  • , M. Aurela
  • , G. Jakobi*
  • , P. Karjalainen
  • , R. Zimmermann
  • , J. Jokiniemi
  • , S. Saarikoski
  • , J. Tissari
  • , T. Rönkkö
  • , J.V. Niemi
  • , H. Timonen
  • *Corresponding author for this work
    • Finnish Meteorological Institute (FMI)
    • Metropolia University of Applied Sciences
    • University of Eastern Finland
    • Tampere University
    • Helmholtz Center Munich (HMGU)
    • University of Rostock
    • Helsinki Region Environmental Services Authority (HSY)

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    The absorption Ångström exponent (AAE) describes the spectral dependence of light absorption by aerosols. AAE is typically used to differentiate between different aerosol types for example., black carbon, brown carbon, and dust particles. In this study, the variation of AAE was investigated mainly in fresh aerosol emissions from different fuel and combustion types, including emissions from ships, buses, coal‐fired power plants, and residential wood burning. The results were assembled to provide a compendium of AAE values from different emission sources. A dual‐spot aethalometer (AE33) was used in all measurements to obtain the light absorption coefficients at seven wavelengths (370–950 nm). AAE470/950 varied greatly between the different emission sources, ranging from −0.2 ± 0.7 to 3.0 ± 0.8. The correlation between the AAE470/950 and AAE370‐950 results was good (R2 = 0.95) and the mean bias error between these was 0.02. In the ship engine exhaust emissions, the highest AAE470/950 values (up to 2.0 ± 0.1) were observed when high sulfur content heavy fuel oil was used, whereas low sulfur content fuels had the lowest AAE470/950 (0.9–1.1). In the diesel bus exhaust emissions, AAE470/950 increased in the order of acceleration (0.8 ± 0.1), deceleration (1.1 ± 0.1), and steady driving (1.2 ± 0.1). In the coal‐fired power plant emissions, the variation of AAE470/950 was substantial (from −0.1 ± 2.1 to 0.9 ± 1.6) due to the differences in the fuels and flue gas cleaning conditions. Fresh wood‐burning derived aerosols had AAE470/950 from 1.1 ± 0.1 (modern masonry heater) to 1.4 ± 0.1 (pellet boiler), lower than typically associated with wood burning, while the burn cycle phase affected AAE variation.
    Original languageEnglish
    Article numbere2020JD034094
    JournalJournal of Geophysical Research: Atmospheres
    Volume126
    Issue number10
    DOIs
    Publication statusPublished - 2021
    MoE publication typeA1 Journal article-refereed

    Funding

    Measurement, Monitoring and Environmental Assessment (MMEA, supported by Tekes and coordinated by the Finnish Energy and Environment Cluster - CLEEN Ltd) research program, NABCEA (Novel Assessment of Black Carbon in the Eurasian Arctic - project (Project nro. 296644, Academy of Finland), SIMO (Wood combustion simulator) -project, (A72189, The Regional Council of Pohjois-Savo), KIUAS -project (Emissions from sauna stoves), EL-TRAN (Transition to a resource efficient and climate neutral electricity system, Strategic Research Council at the Academy of Finland, project grant number 314319), "SEA-EFFECTS BC" (Shipping Emissions in the Arctic, Black Carbon, Business Finland), CITYZER (Services for effective decision making and environmental resilience, Business Finland) project, Business Finland and participating companies via BC Footprint project (49,402–201040) and the HICE - Aerosols and Health -project, a Helmholtz Virtual Institute of Complex Molecular Systems in Environmental Health.

    Keywords

    • absorption Ångström exponent
    • aethalometer
    • source apportionment
    • black carbon
    • emissions

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