Spatial-temporal variability of aerosol sources based on chemical composition and particle number size distributions in an urban settlement influenced by metallurgical industry

• Published in: Environmental science and pollution research international 2020-11, Vol.27 (31), p.38631-38643
• Main Authors: Pokorná, Petra, Leoni, Cecilia, Schwarz, Jaroslav, Ondráček, Jakub, Ondráčková, Lucie, Vodička, Petr, Zíková, Naděžda, Moravec, Pavel, Bendl, Jan, Klán, Miroslav, Hovorka, Jan, Zhao, Yongjing, Cliff, Steven S., Ždímal, Vladimír, Hopke, Philip K.
• Format: Article
• Language: English
• Subjects: Aerosols - analysis; Air Pollutants - analysis; Air Pollution - analysis; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Cities; Czech Republic; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental Monitoring; Particle Size; Particulate Matter - analysis; Research Article; Waste Water Technology; Water Management; Water Pollution Control
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-020-09694-0

The Moravian-Silesian region of the Czech Republic with its capital city Ostrava is a European air pollution hot spot for airborne particulate matter (PM). Therefore, the spatiotemporal variability assessment of source contributions to aerosol particles is essential for the successful abatement strategies implementation. Positive Matrix Factorization (PMF) was applied to highly-time resolved PM 0.15–1.15 chemical composition (1 h resolution) and particle number size distribution (PNSD, 14 nm – 10 μm) data measured at the suburban (Ostrava-Plesná) and urban (Ostrava-Radvanice) residential receptor sites in parallel during an intensive winter campaign. Diel patterns, meteorological variables, inorganic and organic markers, and associations between the chemical composition factors and PNSD factors were used to identify the pollution sources and their origins (local, urban agglomeration and regional). The source apportionment analysis resolved six and four PM 0.15–1.15 sources in Plesná and Radvanice, respectively. In Plesná, local residential combustion sources (coal and biomass combustion) followed by regional combustion sources (residential heating, metallurgical industry) were the main contributors to PM 0.15–1.15 . In Radvanice, local residential combustion and the metallurgical industry were the most important PM 0.15–1.15 sources. Aitken and accumulation mode particles emitted by local residential combustion sources along with common urban sources (residential heating, industry and traffic) were the main contributors to the particle number concentration (PNC) in Plesná. Additionally, accumulation mode particles from local residential combustion sources and regional pollution dominated the particle volume concentration (PVC). In Radvanice, local industrial sources were the major contributors to PNC and local coal combustion was the main contributor to PVC. The source apportionment results from the complementary datasets elucidated the relevance of highly time-resolved parallel measurements at both receptor sites given the specific meteorological conditions produced by the regional orography. These results are in agreement with our previous studies conducted at this site. Graphical abstract