Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas

This work presents the results of a PM2.5 source apportionment study conducted in urban background sites from 16 European and Asian countries. For some Eastern Europe and Central Asia cities this was the first time that quantitative information on pollution source contributions to ambient particulat...

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Veröffentlicht in:Environmental pollution (1987) 2020-11, Vol.266, p.115199-115199, Article 115199
Hauptverfasser: Almeida, S.M., Manousakas, M., Diapouli, E., Kertesz, Z., Samek, L., Hristova, E., Šega, K., Alvarez, R. Padilla, Belis, C.A., Eleftheriadis, K.
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container_end_page 115199
container_issue
container_start_page 115199
container_title Environmental pollution (1987)
container_volume 266
creator Almeida, S.M.
Manousakas, M.
Diapouli, E.
Kertesz, Z.
Samek, L.
Hristova, E.
Šega, K.
Alvarez, R. Padilla
Belis, C.A.
Eleftheriadis, K.
description This work presents the results of a PM2.5 source apportionment study conducted in urban background sites from 16 European and Asian countries. For some Eastern Europe and Central Asia cities this was the first time that quantitative information on pollution source contributions to ambient particulate matter (PM) has been performed. More than 2200 filters were sampled and analyzed by X-Ray Fluorescence (XRF), Particle-Induced X-Ray Emission (PIXE), and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to measure the concentrations of chemical elements in fine particles. Samples were also analyzed for the contents of black carbon, elemental carbon, organic carbon, and water-soluble ions. The Positive Matrix Factorization receptor model (EPA PMF 5.0) was used to characterize similarities and heterogeneities in PM2.5 sources and respective contributions in the cities that the number of collected samples exceeded 75. At the end source apportionment was performed in 11 out of the 16 participating cities. Nine major sources were identified to have contributed to PM2.5: biomass burning, secondary sulfates, traffic, fuel oil combustion, industry, coal combustion, soil, salt and “other sources”. From the averages of sources contributions, considering 11 cities 16% of PM2.5 was attributed to biomass burning, 15% to secondary sulfates, 13% to traffic, 12% to soil, 8.0% to fuel oil combustion, 5.5% to coal combustion, 1.9% to salt, 0.8% to industry emissions, 5.1% to “other sources” and 23% to unaccounted mass. Characteristic seasonal patterns were identified for each PM2.5 source. Biomass burning in all cities, coal combustion in Krakow/POL, and oil combustion in Belgrade/SRB and Banja Luka/BIH increased in Winter due to the impact of domestic heating, whereas in most cities secondary sulfates reached higher levels in Summer as a consequence of the enhanced photochemical activity. During high pollution days the largest sources of fine particles were biomass burning, traffic and secondary sulfates. [Display omitted] •Data on source apportionment in Eastern European and Central Asian countries is sparse.•The average PM2.5 concentrations measured in the 16 cities exceeded the WHO guidelines.•Biomass burning, traffic and secondary sulfates were the main sources in high pollution days.•Key targets towards healthy cities: clean energy and sustainable transports.
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ispartof Environmental pollution (1987), 2020-11, Vol.266, p.115199-115199, Article 115199
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1873-6424
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source Elsevier ScienceDirect Journals
subjects Aerosol
Central asia
Eastern europe
EPA-PMF
PM2.5
Urban background
title Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas
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