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Insights into the Chemical Characteristics of Atmospheric Aerosols from Urban-Industrial and Rural Sites in South-East of Poland During Winter

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    0576040 - ÚVGZ 2024 RIV PL eng J - Journal Article
    Szwed, M. - Kozlowski, R. - Zukowski, W. - Mbengue, Saliou - Suchánková, Lenka - Prokeš, Roman
    Insights into the Chemical Characteristics of Atmospheric Aerosols from Urban-Industrial and Rural Sites in South-East of Poland During Winter.
    Quaestiones Geographicae. Roč. 42, č. 3 (2023), s. 89-99. ISSN 2081-6383
    R&D Projects: GA MŠMT(CZ) LM2023030
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : atmospheric aerosol * elemental-organic carbon * industrial emissions * single particle mass spectrometry
    OECD category: Meteorology and atmospheric sciences
    Impact factor: 1, year: 2022
    Method of publishing: Open access
    https://sciendo.com/pl/article/10.14746/quageo-2023-0025

    This study focusses on a short-term characterisation of atmospheric aerosols from three locations in southeast of Poland with different land use characteristics, population density and sources of pollution (Katowice: urban-industrial, Strzyzowice near Lublin: rural, Kielce: urban). Twenty-four hour PM2.5 and PM10 samples were collected on the quartz filter and their chemical compositions were monitored and measured using OCEC thermo-optical analysis and scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDS). The highest concentrations of PM2.5 and PM10 were measured at the urban-industrial area in Katowice (29.6 mu g center dot m(-3) and 31.0 mu g center dot m(-3), respectively), whereas the highest organic carbon (OC) and elemental carbon (EC) levels were observed at the Kielce urban site (23.3 +/- 4.2 mu g and 3.6 +/- 0.3 mu g, respectively). The lowest values were obtained at the rural site for PM2.5 (10.4 +/- 2.7 mu g center dot m(-3)) and PM10 (11.8 +/- 2.7 mu g center dot m(-3)) and for OC (17.8 +/- 1.6 mu g) and EC (1.0 +/- 0.1 mu g). SEM-EDS analysis of samples from Kielce allows identification of internal chemical mixtures of carbon, silicon, calcium, chlorine, sodium and aluminium.
    Permanent Link: https://hdl.handle.net/11104/0345750

     
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    10.14746_quageo-2023-0025.pdf64.2 MBPublisher’s postprintopen-access
     
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