Abstract
In this study, the seasonal variation, transport routes, and potential source areas of PM10 in the central district of Kirklareli (Turkey) were investigated. It was determined that PM10 concentrations had the highest seasonal average value in autumn and the lowest seasonal average value in spring. Cumulative distributions of PM10 concentrations data set were examined. In order to determine the air mass source and transport routes, the backward trajectories of the air masses obtained by using the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model were run and cluster analysis, which is one of the multivariate statistical analyses, was performed. Cluster analysis results revealed that there are five main clusters affecting the receptor site in all four seasons. By defining the PM10 concentrations data as an input to the potential source contribution function (PSCF) model, the probable locations of potential source areas were identified. It has been observed that there are obvious seasonal differences in the potential source areas of PM10. High PSCF values were observed especially in Greece and the Mediterranean during the winter and especially in Albania and Greece during the spring. While high PSCF values were observed especially in the Anatolian side of Istanbul, Kocaeli, Sakarya, and the Black Sea coasts of these regions during the summer, they were observed especially in İzmir and Balikesir during the autumn.
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Data availability
The data analyzed in this study were obtained from the Air Quality Monitoring Station of Republic of Turkey Ministry of Environment and Urbanization (https://sim.csb.gov.tr/STN/STN_Report/StationDataDownloadNew).
References
Bai, D., Wang, H., Cheng, M., Gao, W., Yang, Y., Huang, W., Ma, K., Zhang, Y., Zhang, R., Zou, J., Wang, J., Liang, Y., Li, N., & Wang, Y. (2021). Source apportionment of PM2.5 and its optical properties during a regional haze episode over north China plain. Atmospheric Pollution Research, 12(1), 89–99. https://doi.org/10.1016/j.apr.2020.08.023
Bie, S., Yang, L., Zhang, Y., Huang, Q., Li, J., Zhao, T., Zhang, X., Wang, P., & Wang, W. (2021). Source appointment of PM2.5 in Qingdao Port, East of China. Science of The Total Environment, 755, 142456. https://doi.org/10.1016/j.scitotenv.2020.142456
Borge, R., Lumbreras, J., Vardoulakis, S., Kassomenos, P., & Rodríguez, E. (2007). Analysis of long-range transport influences on urban PM10 using two-stage atmospheric trajectory clusters. Atmospheric Environment, 41(21), 4434–4450. https://doi.org/10.1016/j.atmosenv.2007.01.053
Byčenkienė, S., Plauškaitė, K., Dudoitis, V., & Ulevicius, V. (2014a). Urban background levels of particle number concentration and sources in Vilnius, Lithuania. Atmospheric Research, 143, 279–292. https://doi.org/10.1016/j.atmosres.2014.02.019
Byčenkienė, S., Dudoitis, V., & Ulevicius, V. (2014b). The use of trajectory cluster analysis to evaluate the long-range transport of black carbon aerosol in the South-Eastern Baltic Region. Advances in Meteorology, 2014, 137694. https://doi.org/10.1155/2014/137694
Carslaw, D. C., & Ropkins, K. (2012). openair-An R package for air quality data analysis. Environmental Modelling & Software, 27–28, 52–61. https://doi.org/10.1016/j.envsoft.2011.09.008
Carslaw, D. C. (2019). The openair manual - open-source tools for analysing air pollution data. Manual for version 2.6–6, University of York.
ÇDR. (2020). Kırklareli İli 2019 Yılı Çevre Durum Raporu, T.C. Kırklareli Valiliği Çevre ve Şehircilik İl Müdürlüğü, ÇED, İzin ve Denetim Şube Müdürlüğü. https://webdosya.csb.gov.tr/db/ced/icerikler/kirklarel-_-cdr2019-20200708151830.pdf
Dimitriou, K., & Kassomenos, P. (2020). Background concentrations of benzene, potential long range transport influences and corresponding cancer risk in four cities of central Europe, in relation to air mass origination. Journal of Environmental Management, 262, 110374. https://doi.org/10.1016/j.jenvman.2020.110374
Dimitriou, K., Grivas, G., Liakakou, E., Gerasopoulos, E., & Mihalopoulos, N. (2021). Assessing the contribution of regional sources to urban air pollution by applying 3D-PSCF modeling. Atmospheric Research, 248, 105187. https://doi.org/10.1016/j.atmosres.2020.105187
Draxler, R., Stunder, B., Rolph, G., Stein, A., & Taylor, A. (2020). HYSPLIT user's guide, Version 5 - Last Revision: April 2020. https://www.arl.noaa.gov/documents/reports/hysplit_user_guide.pdf
EU. (2008). Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. Official Journal of the European Union, L, 152, 1–44.
Fleming, Z. L., Monks, P. S., & Manning, A. J. (2012). Review: Untangling the influence of air-mass history in interpreting observed atmospheric composition. Atmospheric Research, 104–105, 1–39. https://doi.org/10.1016/j.atmosres.2011.09.009
Flores, R. M., Kaya, N., Eşer, Ö., & Saltan, Ş. (2017). The effect of mineral dust transport on PM10 concentrations and physical properties in Istanbul during 2007–2014. Atmospheric Research, 197, 342–355. https://doi.org/10.1016/j.atmosres.2017.07.009
Hsu, Y.-K., Holsen, T. M., & Hopke, P. K. (2003). Comparison of hybrid receptor models to locate PCB sources in Chicago. Atmospheric Environment, 37(4), 545–562. https://doi.org/10.1016/S1352-2310(02)00886-5
IMM. (2021) Istanbul Metropolitan Municipality, Air Quality Network. https://havakalitesi.ibb.gov.tr/Icerik/hakkimizda
Islek, F., Yuksel, Y., & Sahin, C. (2020). Spatiotemporal long-term trends of extreme wind characteristics over the Black Sea. Dynamics of Atmospheres and Oceans, 90, 101132. https://doi.org/10.1016/j.dynatmoce.2020.101132
Jacobson, M. Z. (2002). Atmospheric pollution history, science, and regulation (1st ed.). Cambridge.
Karaca, F., Anil, I., & Alagha, O. (2009). Long-range potential source contributions of episodic aerosol events to PM10 profile of a megacity. Atmospheric Environment, 43(36), 5713–5722. https://doi.org/10.1016/j.atmosenv.2009.08.005
Karaca, F., & Camci, F. (2010). Distant source contributions to PM10 profile evaluated by SOM based cluster analysis of air mass trajectory sets. Atmospheric Environment, 44(7), 892–899. https://doi.org/10.1016/j.atmosenv.2009.12.006
Koçak, M., Mihalopoulos, N., & Kubilay, N. (2009). Origin and source regions of PM10 in the Eastern Mediterranean atmosphere. Atmospheric Research, 92(4), 464–474. https://doi.org/10.1016/j.atmosres.2009.01.005
Koçak, M., Theodosi, C., Zarmpas, P., Im, U., Bougiatioti, A., Yenigun, O., & Mihalopoulos, N. (2011). Particulate matter (PM10) in Istanbul: Origin, source areas and potential impact on surrounding regions. Atmospheric Environment, 45(38), 6891–6900. https://doi.org/10.1016/j.atmosenv.2010.10.007
Kuzu, S. L., Saral, A., Güneş, G., & Karadeniz, A. (2016). Evaluation of background soil and air polychlorinated biphenyl (PCB) concentrations on a hill at the outskirts of a metropolitan city. Chemosphere, 154, 79–89. https://doi.org/10.1016/j.chemosphere.2016.03.095
Kuzu, S. L., & Saral, A. (2017). The effect of meteorological conditions on aerosol size distribution in Istanbul. Air Quality, Atmosphere & Health, 10, 1029–1038. https://doi.org/10.1007/s11869-017-0491-y
Lagzi, I., Mészáros, R., Gelybó, G., & Leelőssy, Á. (2013). Atmospheric chemistry. Eötvös Loránd University.
Li, C., Dai, Z., Liu, X., & Wu, P. (2020). Transport pathways and potential source region contributions of PM2.5 in Weifang: Seasonal variations. Applied Sciences, 10(8), 2835. https://doi.org/10.3390/app10082835
MEU. (2021). Air Quality Monitoring Station of Republic of Turkey Ministry of Environment and Urbanization. https://sim.csb.gov.tr/STN/STN_Report/StationDataDownloadNew
Neykova, R., & Hristova, E. (2020). Backward trajectories and cluster analyses for study of PM10 concentration variations in Bulgarian urban areas. Bulgarian Journal of Meteorology and Hydrology, 24(2), 66–83.
Öztürk, F., Zararsız, A., Dutkiewicz, V. A., Husain, L., Hopke, P. K., & Tuncel, G. (2012). Temporal variations and sources of Eastern Mediterranean aerosols based on a 9-year observation. Atmospheric Environment, 61, 463–475. https://doi.org/10.1016/j.atmosenv.2012.07.051
Park, S. H., Kim, M. J., Kim, J.-J., Choi, J.-Y., & Lee, D. (2021). Characteristic time for the scavenging of fine particles due to coagulation with coarse particles. Particulate Science and Technology, 39(5), 607–615. https://doi.org/10.1080/02726351.2020.1811439
Pekney, N. J., Davidson, C. I., Zhou, L., & Hopke, P. K. (2006). Application of PSCF and CPF to PMF-Modeled sources of PM2.5 in Pittsburgh. Aerosol Science and Technology, 40(10), 952–961. https://doi.org/10.1080/02786820500543324
Petroselli, C., Crocchianti, S., Moroni, B., Castellini, S., Selvaggi, R., Nava, S., Calzolai, G., Lucarelli, F., & Cappelletti, D. (2018). Disentangling the major source areas for an intense aerosol advection in the Central Mediterranean on the basis of Potential Source Contribution Function modeling of chemical and size distribution measurements. Atmospheric Research, 204, 67–77. https://doi.org/10.1016/j.atmosres.2018.01.011
Rolph, G., Stein, A., & Stunder, B. (2017). Real-time environmental applications and display sYstem: READY. Environmental Modelling & Software, 95, 210–228. https://doi.org/10.1016/j.envsoft.2017.06.025
Sirois, A., & Bottenheim, J. V. (1995). Use of backward trajectories to interpret the 5-year record of PAN and O3 ambient air concentrations at Kejimkujik National Park, Nova Scotia. Journal of Geophysical Research, 100(D2), 2867–2881. https://doi.org/10.1029/94JD02951
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., & Ngan, F. (2015). NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society, 96(12), 2059–2077. https://doi.org/10.1175/BAMS-D-14-00110.1
Wallace, J. M., & Hobbs, P. V. (2006). Atmospheric science an introductory survey (2nd ed.). San Diego.
Xin, Y., Wang, G., & Chen, L. (2016). Identification of long-range transport pathways and potential sources of PM10 in Tibetan Plateau Uplift Area: Case study of Xining, China in 2014. Aerosol and Air Quality Research, 16, 1044–1054. https://doi.org/10.4209/aaqr.2015.05.0296
Yang, W., Wang, G., & Bi, C. (2017). Analysis of long-range transport effects on PM2.5 during a short severe haze in Beijing. China. Aerosol and Air Quality Research, 17, 1610–1622. https://doi.org/10.4209/aaqr.2016.06.0220
Zhao, N., Wang, G., Li, G., Lang, J., & Zhang, H. (2020). Air pollution episodes during the COVID-19 outbreak in the Beijing-Tianjin-Hebei region of China: An insight into the transport pathways and source distribution. Environmental Pollution, 267, 115617. https://doi.org/10.1016/j.envpol.2020.115617
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Oruc, I. Transport routes and potential source areas of PM10 in Kirklareli, Turkey. Environ Monit Assess 194, 104 (2022). https://doi.org/10.1007/s10661-022-09772-5
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DOI: https://doi.org/10.1007/s10661-022-09772-5