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Major air pollutants seasonal variation analysis and long-range transport of PM(10) in an urban environment with specific climate condition in Transylvania (Romania)

The air quality decrease, especially in urban areas, is related to local-scale conditions and to dispersion of air pollutants (regional and long-range) as well. The main objective of this study was to decipher the seasonal variation of PM(10), NO, NO(2), NO(x), SO(2), O(3), and CO over a 1-year peri...

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Detalles Bibliográficos
Autores principales: Bodor, Zsolt, Bodor, Katalin, Keresztesi, Ágnes, Szép, Róbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496053/
https://www.ncbi.nlm.nih.gov/pubmed/32617823
http://dx.doi.org/10.1007/s11356-020-09838-2
Descripción
Sumario:The air quality decrease, especially in urban areas, is related to local-scale conditions and to dispersion of air pollutants (regional and long-range) as well. The main objective of this study was to decipher the seasonal variation of PM(10), NO, NO(2), NO(x), SO(2), O(3), and CO over a 1-year period (2017) and the possible relationships between air pollution and meteorological variables. Furthermore, trajectory cluster analysis and concentration-weighted trajectory (CWT) methods were used to assess the trajectories and the source-receptor relationship of PM(10) in the Ciuc basin Transylvania, known as the “Cold Pole” of Romania. The pollutants show lower concentrations during warmer periods, especially during summer, and significantly higher concentrations were observed on heating season in winter due to seasonal variations in energy use (biomass burning) and atmospheric stability. Subsequently, in February, the highest concentration of PM(10) was 132 μg/m(3), which is 4 times higher than the highest recorded monthly mean. Our results indicate a negative correlation between CO/temperature (− 0.89), NO(x)/temperature (− 0.84) and positive between NO(x)/PM(10) (0.95), CO/PM(10) (0.9), and NO(x)/CO (0.98), respectively. Dominant transport pathways were identified and the results revealed that slow-moving southerly (~ 45%) and northwesterly (~ 32%) air masses represent almost 80% and mainly regional flows were discerned. During 2017, increased PM(10) levels were measured at the study site when air masses arrived mostly from northwest and southeast. The CWT and polarplot models show a strong seasonal variation and significant differences were observed between weekdays and weekends, namely highest PM(10) concentrations during weekends at low wind speed (2–4 m/s). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11356-020-09838-2) contains supplementary material, which is available to authorized users.