TY - JOUR
T1 - Variation of Absorption Ångström Exponent in Aerosols From Different Emission Sources
AU - Helin, Aku
AU - Virkkula, Aki
AU - Backman, John
AU - Pirjola, Liisa
AU - Sippula, Olli
AU - Aakko-Saksa, Päivi
AU - Väätäinen, S.
AU - Mylläri, F.
AU - Järvinen, A.
AU - Bloss, M.
AU - Aurela, M.
AU - Jakobi, G.
AU - Karjalainen, P.
AU - Zimmermann, R.
AU - Jokiniemi, J.
AU - Saarikoski, S.
AU - Tissari, J.
AU - Rönkkö, T.
AU - Niemi, J.V.
AU - Timonen, H.
N1 - Funding Information:
The authors gratefully acknowledge support from following projects: 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, for details see http://www.uef.fi/en/web/fine/kiuas ), 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 ( https://www.hice-vi.eu/ ).
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - absorption Ångström exponent
KW - aethalometer
KW - source apportionment
KW - black carbon
KW - emissions
UR - http://www.scopus.com/inward/record.url?scp=85106962683&partnerID=8YFLogxK
U2 - 10.1029/2020JD034094
DO - 10.1029/2020JD034094
M3 - Article
AN - SCOPUS:85106962683
SN - 2169-897X
VL - 126
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 10
M1 - e2020JD034094
ER -