Abstract

Concerns over exposure to airborne particulate matter (PM) are on the rise. Currently monitoring of PM is done on the basis of interpolating a mass of PM by volume (mu g/m(3)) but has the drawback of not taking the chemical nature of PM into account. Here we propose a method of collecting PM at its emission source and employing automated analysis with scanning electron microscopy associated with EDS-analysis together with light scattering to discern the chemical composition, size distribution, and time and space resolved structure of PM emissions in a heavily trafficated roundabout in Sweden. Multivariate methods (PCA, ANOVA) indicate that the technogenic marker Fe follows roadside dust in spreading from the road, and depending on time and location of collection, a statistically significant difference can be seen, adding a useful tool to the repertoire of detailed PM monitoring and risk assessment of local emission sources. (C) 2013 Elsevier Ltd. All rights reserved.

Keywords

PM; Pollution; SEM-EDS; Traffic; Health

Published in

Environmental Pollution
2013, Volume: 182, pages: 364-370
Publisher: ELSEVIER SCI LTD

SLU Authors

• Wilkinson, Kai

  • Department of Molecular Sciences, Swedish University of Agricultural Sciences
    

• Lundkvist, Johanna

  • Department of Molecular Sciences, Swedish University of Agricultural Sciences
    

• Seisenbaeva, Gulaim

  • Department of Molecular Sciences, Swedish University of Agricultural Sciences
    

• Kessler, Vadim

  • Department of Molecular Sciences, Swedish University of Agricultural Sciences
    

Sustainable Development Goals

SDG9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation


UKÄ Subject classification

Analytical Chemistry
Environmental Management


Publication identifier

DOI: https://doi.org/10.1016/j.envpol.2013.07.043

Permanent link to this page (URI)

https://res.slu.se/id/publ/52413