Peer-reviewed articles 17,970 +



Title: CHEMICAL COMPOSITION OF FINE AIR PARTICULATE MATTER IN URBAN CONDITIONS

CHEMICAL COMPOSITION OF FINE AIR PARTICULATE MATTER IN URBAN CONDITIONS
Blagorodka Veleva; Elena Hristova; Ivan Beslic
10.5593/sgem2023/4.1
1314-2704
English
23
4.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Airborne particulate matter (APM), and in particular its fine fraction PM2.5, is well known as an important pollutant in the urban atmosphere worldwide. The health effects of APMs depend not only on their size but also on their chemical composition. Black carbon (BC), heavy metals and other constituents can impact human health and climate. The main sources of BC are the incomplete combustion of fossil fuels, biomass burning and other organic materials. Resuspension of soil and road materials, secondary aerosol formation, and industrial emissions are major sources of many elements attached to the atmospheric aerosol. Studies on the chemical composition of APM in Bulgaria are limited. This study presents the results of a field sampling campaign of PM2.5 in urban background conditions of Sofia for the period June 2020-May 2021. The experiment involved sampling every 1 of 3 days within the IAEA TC RER7012 project. In addition, three more frequent periods of daily sampling in June-July, September-October 2020 and January-February 2021 to study seasonal variations within the national CARBOAEROSOL project conducted. All samples were analysed for BC by Multiwavelength Absorption Black instrument (MABI). The trace elements were analysed in 166 samples by the ED-XRF technique at the IMROH laboratory in Zagreb. Elements such as Al, S, Cl, K, Ca, Fe, Cu, and Zn were measured in practically all filter samples, while trace elements Sc, As, Ba, Sr, Cd, and I were above the MDL (minimum detection limit) in less than 5% of the samples. The PM2.5 mass concentration ranged from 3.94 to 104.5 ?g.m-3 with an average value of 14.6 ?g.m-3. The second highest concentration after Na (Sodium) is for S (Sulphur) with an average value of 707.4 ng.m-3. The maximum measured daily elemental concentration was for Chlorine (3861.5 ng.m-3). There was a weak correlation between the daily PM2.5 mass and elemental concentrations. Temporal and seasonal variations of the concentrations of PM2.5, BC and trace elements were analyzed in terms of meteorological conditions.
[1] Air quality in Europe – 2020 report. European Environment Agency, 2020Luxembourg: Publications Office of the Eu-ropean Union, 2020 ISBN 978-92- 9480-292-7 ISSN 1977-8449 doi:10.2800/786656
[2] EMEP Status Report 1/2021, "Transboundary particulate matter, photo-oxidants, acidifying and eutrophying components", Joint MSC-W & CCC & CEIP Report ISSN 1504-6192 (on-line), ISSN 1504-6109 (print)
[3] World Health Organization. (2021). WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. https://apps.who.int/iris/handle/10665/345329. License: CC BY-NC-SA 3.0 IGO
[4] International Agency for Research on Cancer (IARC), 2013. In: Straif, K., Cohen, A., Samet, J. (Eds.), Air Pollution and Cancer. International Agency for Research on Cancer, Lyon, France, p. 487.
[5] Program for improving the quality of the atmospheric air on the territory of Sofia Municipality for the period 2021-2026, Available online: https://www.sofia.bg/en/programa-kav, (accessed on 30 May 2023).
[6] Dimitrova, R.; Velizarova, M. Assessment of the Contribution of Different Particulate Matter Sources on Pollution in Sofia City. Atmosphere 2021, 12, 423. https://doi.org/10.3390/atmos12040423
[7] Perrone, M.G., Vratolis S. , Georgieva E., Torok S., K. Sega, Veleva B., Osand J., Beslic I., Kertesz Z., Pernigotti D., Eleftheriadis K., Belis C.A., Sources and geographic origin of particulate matter in urban areas of the Danube macro-region: The cases of Zagreb (Croatia), Budapest (Hungary) and Sofia (Bulgaria), Sci. Tot. Environ. , 2018, 619–620, 1515–1529 https://doi.org/10.1016/j.scitotenv.2017.11.092.
[8] Hristova, E., Veleva, B., Georgieva, E., Branzov, H. Application of Positive Matrix Factorization Receptor Model for Source Identification of PM10 in the City of Sofia, Bulgari,. Atmosphere, Vol. 11, 890, pp. 145 -161, 2020.
[9] Hristova, E.; Georgieva, E.; Veleva, B.; Neykova, N.; Naydenova, S.; Gonsalvesh- Musakova, L.; Neykova, R.; Petrov, A. Black Carbon in Bulgaria—Observed and Modelled Concentrations in Two Cities for Two Months. Atmosphere 2022, 13, 213.
[10] EEA 2021, https://www.eea.europa.eu/themes/air/country-fact-sheets/2021- country-fact-sheets/bulgaria (accessed 31.05.2023).
[11] ExEA 2023, System for informing the population about the quality of atmospheric air https://eea.government.bg/kav/,)
[12] Manohar, M.; Atanacio, A.; Button, D.; Cohen, D. MABI—A multi-wavelength absorption black carbon instrument for the measurement of fine light absorbing carbon particles. Atmos. Pollut. Res. 2021, 12, 133–140, https://doi.org/10.1016/j.apr.2021.02.009.
[13] Whiteman D., Hoch S., Horel J. and Charland A. 2014 Relationship between particulate air pollution and meteorological variables in Utah's Salt Lake Valley, Atmospheric Environment 94 742-753.
[14] Warren H. White, Krystyna Trzepla, Nicole P. Hyslop & Bret A. Schichtel (2016) A critical review of filter transmittance measurements for aerosol light absorption, and de novo calibration for a decade of monitoring on PTFE membranes, Aerosol Science and Technology, 50:9, 984-1002, DOI: 10.1080/02786826.2016.1211615
[15] Qi, L.; Zhang, Y.; Ma, Y.; Chen, M.; Ge, X.; Ma, Y.; Zheng, J.; Wang, Z.; Li, S. Seasonal Variations and Sources of 17 Aerosol Metal Elements in Suburban Nanjing, China. Atmosphere 2016, 7, 153; doi:10.3390/atmos7120153
[16] Silva, L.F.O., I.L. Schneider, P. Artaxo P. , Nunez-Blanco Y., Pinto, D., Flores E. M.M., Gomez-Plata L., Ramirez, O., Dotto, G. L., 2022. Particulate matter geochemistry of a highly industrialized region in the Caribbean: Basis for future toxicological studies. Geoscience Frontiers, Vol. 13, Issue 1, January 2022, 101115
[17] Manousakas M., Furger M., Daellenbach K.R., Canonaco F., Chen G., Tobler A., Rai P., Qi L., Tremper A.H., Green D., Hueglin C., Slowik J.G., El Haddad I. Prevot A.S.H., 2022 Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach.Atmospheric Environment: X, 14, art. no. 10soil0165. doi: 10.1016/j.aeaoa.2022.1001.
This study was performed in the frame of the IAEA TC Project RER7012 and with the financial support from the Bulgarian National Science Fund trough contract № КП-06- Н 34/9 -19.12.2019. The authors are grateful to Bulgarian Executive Environment Agency for the PM10, NO2, SO2 and CO data.
conference
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
261-268
03 - 09 July, 2023
website
9201
air pollution, PM2.5, Black carbon