PRELIMINARY ASSESSMENT OF PARTICULATE CONCENTRATION NEAR COAL FIRED POWER PLANT

Bogdana VUJIĆ; Vasile PODE; Jelena MIĆIĆ; Francisc POPESCU; Una MARČETA; Adrian Eugen CIOABLA

doi:10.24193/subbchem.2020.1.23

Authors

Bogdana VUJIĆ University of Novi Sad, Technical Faculty “Mihajlo Pupin” Zrenjanin, Serbia https://orcid.org/0000-0001-5249-8021
Vasile PODE University Politehnica Timisoara, Faculty of Industrial Chemistry, Timisoara, Romania
Jelena MIĆIĆ University of Novi Sad, Technical Faculty “Mihajlo Pupin” Zrenjanin, Serbia
Francisc POPESCU University Politehnica Timisoara, Faculty of Mechanical Engineering, Environmental Engineering, Timisoara, Romania. *Corresponding author: francisc.popescu@upt.ro https://orcid.org/0000-0001-7736-0758
Una MARČETA University of Novi Sad, Technical Faculty “Mihajlo Pupin” Zrenjanin, Serbia https://orcid.org/0000-0001-6664-0236
Adrian Eugen CIOABLA University Politehnica Timisoara, Faculty of Mechanical Engineering, Environmental Engineering, Timisoara, Romania https://orcid.org/0000-0001-6261-0064

DOI:

https://doi.org/10.24193/subbchem.2020.1.23

Keywords:

particulate matter, PM2.5, PM10, air quality assessment, large combustion plants

Abstract

This study shows the results of preliminary monitoring of particulate matter (PM10 and PM2.5) at four measurement points, during the three campaigns (spring, autumn, winter) The study was conducted for the first time in residential area near coal-fired power plant, Ugljevik, Bosnia and Herzegovina. The power plant flue gas cleaning equipment in the time of this research was out of the function. Authors investigated seasonal variations of PMs concentration levels, influence of terrain structure and meteorological condition on PMs distribution and identification of PMs origin sources. The results revealed that seasonal variation was more expressed in the case of PM2.5 concentration, while for PM10, occasionally episodic pollution (399µg/m³) was recorded. Also, it was noted that prevailing meteorological conditions and surrounding terrain structure could have limiting effect on PMs dispersion. In order to detect PMs origin, linear regression analysis was applied. Authors revealed that PM2.5 originating from power plant could be prescribed partly for M1 where the greatest correlation was calculated (R²=0,45). Although the measuring sites were set in proper position regarding dominant winds and terrain structure, it was identified that certain measurement sites were affected by the other local particulate matter sources, especially in case of PM10.

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