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Characterization of VOC sources in an urban area based on PTR-MS measurements and receptor modelling

Overview of attention for article published in Environmental Science and Pollution Research, May 2015
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Title
Characterization of VOC sources in an urban area based on PTR-MS measurements and receptor modelling
Published in
Environmental Science and Pollution Research, May 2015
DOI 10.1007/s11356-015-4540-5
Pubmed ID
Authors

A. Stojić, S. Stanišić Stojić, A. Šoštarić, L. Ilić, Z. Mijić, S. Rajšić

Abstract

In this study, the concentrations of volatile organic compounds were measured by the use of proton transfer reaction mass spectrometry, together with NO x , NO, NO2, SO2, CO and PM10 and meteorological parameters in an urban area of Belgrade during winter 2014. The multivariate receptor model US EPA Unmix was applied to the obtained dataset resolving six source profiles, which can be attributed to traffic-related emissions, gasoline evaporation/oil refineries, petrochemical industry/biogenic emissions, aged plumes, solid-fuel burning and local laboratories. Besides the vehicle exhaust, accounting for 27.6 % of the total mixing ratios, industrial emissions, which are present in three out of six resolved profiles, exert a significant impact on air quality in the urban area. The major contribution of regional and long-range transport was determined for source profiles associated with petrochemical industry/biogenic emissions (40 %) and gasoline evaporation/oil refineries (29 %) using trajectory sector analysis. The concentration-weighted trajectory model was applied with the aim of resolving the spatial distribution of potential distant sources, and the results indicated that emission sources from neighbouring countries, as well as from Slovakia, Greece, Poland and Scandinavian countries, significantly contribute to the observed concentrations.

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Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Other 3 7%
Student > Doctoral Student 3 7%
Other 6 13%
Unknown 13 28%
Readers by discipline Count As %
Environmental Science 12 26%
Chemistry 5 11%
Physics and Astronomy 3 7%
Agricultural and Biological Sciences 3 7%
Chemical Engineering 2 4%
Other 7 15%
Unknown 14 30%