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Chemical Characterization of Outdoor and Subway Fine (PM(2.5–1.0)) and Coarse (PM(10–2.5)) Particulate Matter in Seoul (Korea) by Computer-Controlled Scanning Electron Microscopy (CCSEM)

Outdoor and indoor (subway) samples were collected by passive sampling in urban Seoul (Korea) and analyzed with computer-controlled scanning electron microscopy coupled with energy dispersive x-ray spectroscopy (CCSEM-EDX). Soil/road dust particles accounted for 42%–60% (by weight) of fine particula...

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Detalles Bibliográficos
Autores principales: Byeon, Sang-Hoon, Willis, Robert, Peters, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344713/
https://www.ncbi.nlm.nih.gov/pubmed/25689348
http://dx.doi.org/10.3390/ijerph120202090
Descripción
Sumario:Outdoor and indoor (subway) samples were collected by passive sampling in urban Seoul (Korea) and analyzed with computer-controlled scanning electron microscopy coupled with energy dispersive x-ray spectroscopy (CCSEM-EDX). Soil/road dust particles accounted for 42%–60% (by weight) of fine particulate matter larger than 1 µm (PM(2.5–1.0)) in outdoor samples and 18% of PM(2.5–1.0) in subway samples. Iron-containing particles accounted for only 3%–6% in outdoor samples but 69% in subway samples. Qualitatively similar results were found for coarse particulate matter (PM(10–2.5)) with soil/road dust particles dominating outdoor samples (66%–83%) and iron-containing particles contributing most to subway PM(10–2.5) (44%). As expected, soil/road dust particles comprised a greater mass fraction of PM(10–2.5) than PM(2.5–1.0). Also as expected, the mass fraction of iron-containing particles was substantially less in PM(10–2.5) than in PM(2.5–1.0). Results of this study are consistent with known emission sources in the area and with previous studies, which showed high concentrations of iron-containing particles in the subway compared to outdoor sites. Thus, passive sampling with CCSEM-EDX offers an inexpensive means to assess PM(2.5–1.0) and PM(10-2.5) simultaneously and by composition at multiple locations.