Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas
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2020
Преузимање 🢃
Аутори
Almeida, S.M.Manousakas, M.
Diapouli, E.
Kertesz, Z.
Samek, L.
Hristova, E.
Šega, K.
Alvarez, R.P.
Belis, C.A.
Eleftheriadis, K.
Civici, N.
Radić, R.
Vukić, Lj.
Veleva, B.
Bešlić, I.
Davila, S.
Godec, R.
Vratolis, S.
Eleftheriadis, K.
Bernatonis, M.
Đukanović, Gordana
Jancić, D.
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Furman, L.
Stegowski, Z.
Almeida, S.M.
Galinha, C.
Balan, V.
Nikolovska, L.
Stefanovska, A.
Radenković, M.
Knežević, J.
Banu, Oztas N.
Cantay, E.
Turchenko, D.V.
Abdullaev, S.
Padilla Alvarez, R.
Karydas, A.G.
Чланак у часопису (Објављена верзија)
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Метаподаци
Приказ свих података о документуАпстракт
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 part...icipating 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.
Кључне речи:
Urban background / PM2.5 / EPA-PMF / Eastern europe / Central asia / AerosolИзвор:
Environmental Pollution, 2020, 266Издавач:
- Elsevier Ltd
DOI: 10.1016/j.envpol.2020.115199
ISSN: 0269-7491
PubMed: 32777678
Scopus: 2-s2.0-85089075885
Институција/група
Šumarski fakultetTY - JOUR AU - Almeida, S.M. AU - Manousakas, M. AU - Diapouli, E. AU - Kertesz, Z. AU - Samek, L. AU - Hristova, E. AU - Šega, K. AU - Alvarez, R.P. AU - Belis, C.A. AU - Eleftheriadis, K. AU - Civici, N. AU - Radić, R. AU - Vukić, Lj. AU - Veleva, B. AU - Bešlić, I. AU - Davila, S. AU - Godec, R. AU - Vratolis, S. AU - Eleftheriadis, K. AU - Bernatonis, M. AU - Đukanović, Gordana AU - Jancić, D. AU - Furman, L. AU - Stegowski, Z. AU - Almeida, S.M. AU - Galinha, C. AU - Balan, V. AU - Nikolovska, L. AU - Stefanovska, A. AU - Radenković, M. AU - Knežević, J. AU - Banu, Oztas N. AU - Cantay, E. AU - Turchenko, D.V. AU - Abdullaev, S. AU - Padilla Alvarez, R. AU - Karydas, A.G. PY - 2020 UR - https://omorika.sfb.bg.ac.rs/handle/123456789/1116 AB - 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. PB - Elsevier Ltd T2 - Environmental Pollution T1 - Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas VL - 266 DO - 10.1016/j.envpol.2020.115199 UR - conv_1999 ER -
@article{ author = "Almeida, S.M. and Manousakas, M. and Diapouli, E. and Kertesz, Z. and Samek, L. and Hristova, E. and Šega, K. and Alvarez, R.P. and Belis, C.A. and Eleftheriadis, K. and Civici, N. and Radić, R. and Vukić, Lj. and Veleva, B. and Bešlić, I. and Davila, S. and Godec, R. and Vratolis, S. and Eleftheriadis, K. and Bernatonis, M. and Đukanović, Gordana and Jancić, D. and Furman, L. and Stegowski, Z. and Almeida, S.M. and Galinha, C. and Balan, V. and Nikolovska, L. and Stefanovska, A. and Radenković, M. and Knežević, J. and Banu, Oztas N. and Cantay, E. and Turchenko, D.V. and Abdullaev, S. and Padilla Alvarez, R. and Karydas, A.G.", year = "2020", abstract = "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.", publisher = "Elsevier Ltd", journal = "Environmental Pollution", title = "Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas", volume = "266", doi = "10.1016/j.envpol.2020.115199", url = "conv_1999" }
Almeida, S.M., Manousakas, M., Diapouli, E., Kertesz, Z., Samek, L., Hristova, E., Šega, K., Alvarez, R.P., Belis, C.A., Eleftheriadis, K., Civici, N., Radić, R., Vukić, Lj., Veleva, B., Bešlić, I., Davila, S., Godec, R., Vratolis, S., Eleftheriadis, K., Bernatonis, M., Đukanović, G., Jancić, D., Furman, L., Stegowski, Z., Almeida, S.M., Galinha, C., Balan, V., Nikolovska, L., Stefanovska, A., Radenković, M., Knežević, J., Banu, O. N., Cantay, E., Turchenko, D.V., Abdullaev, S., Padilla Alvarez, R.,& Karydas, A.G.. (2020). Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas. in Environmental Pollution Elsevier Ltd., 266. https://doi.org/10.1016/j.envpol.2020.115199 conv_1999
Almeida S, Manousakas M, Diapouli E, Kertesz Z, Samek L, Hristova E, Šega K, Alvarez R, Belis C, Eleftheriadis K, Civici N, Radić R, Vukić L, Veleva B, Bešlić I, Davila S, Godec R, Vratolis S, Eleftheriadis K, Bernatonis M, Đukanović G, Jancić D, Furman L, Stegowski Z, Almeida S, Galinha C, Balan V, Nikolovska L, Stefanovska A, Radenković M, Knežević J, Banu ON, Cantay E, Turchenko D, Abdullaev S, Padilla Alvarez R, Karydas A. Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas. in Environmental Pollution. 2020;266. doi:10.1016/j.envpol.2020.115199 conv_1999 .
Almeida, S.M., Manousakas, M., Diapouli, E., Kertesz, Z., Samek, L., Hristova, E., Šega, K., Alvarez, R.P., Belis, C.A., Eleftheriadis, K., Civici, N., Radić, R., Vukić, Lj., Veleva, B., Bešlić, I., Davila, S., Godec, R., Vratolis, S., Eleftheriadis, K., Bernatonis, M., Đukanović, Gordana, Jancić, D., Furman, L., Stegowski, Z., Almeida, S.M., Galinha, C., Balan, V., Nikolovska, L., Stefanovska, A., Radenković, M., Knežević, J., Banu, Oztas N., Cantay, E., Turchenko, D.V., Abdullaev, S., Padilla Alvarez, R., Karydas, A.G., "Ambient particulate matter source apportionment using receptor modelling in European and Central Asia urban areas" in Environmental Pollution, 266 (2020), https://doi.org/10.1016/j.envpol.2020.115199 ., conv_1999 .