4.2 Article

Characterization of atmospheric aerosol (PM10 and PM2.5) from a medium sized city in Sao Paulo state, Brazil

Journal

JOURNAL OF ENVIRONMENTAL SCIENCES
Volume 89, Issue -, Pages 238-251

Publisher

SCIENCE PRESS
DOI: 10.1016/j.jes.2019.09.014

Keywords

Urban aerosol; PM10; PM2.5; WD-XRF; SEM-EDS

Funding

  1. CAPES
  2. PROPG - UNESP Foundation (Brazil)
  3. Portuguese Foundation for Science and Technology (FCT) [UID/QUI/00100/2019]

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Air pollution causes deleterious effects on human health with aerosols being among the most polluting agents. The objective of this work is the characterization of thePM2.5 andPM10 aerosol mass in the atmosphere. The methods of analysis include WD-XRF and EDS. Data were correlated with meteorological information and air mass trajectories (model HYSPLIT) by multivariate analysis. A morphological structural analysis was also carried out to identify the probable sources of atmospheric aerosols in the city of Sao Jose do Rio Preto, Brazil. The mean mass concentration values obtained were 24.54 mg/m3 forPM10, above theWHOannual standard value of 20 mg/m3 and 10.88 mg/m3 for PM2.5 whose WHO recommended limit is 10 mg/m3. WD-XRF analysis of the samples revealed Si and Al as major components of the coarse fraction. In the fine fraction, the major elements were Al and S. The SEM-FEG characterization allowed identifying the morphology of the particles in agglomerates, ellipsoids and filaments in the PM10, besides spherical in the PM2.5. The analysis by EDS corroborated WD-XRF results, identifying the crustal elements, aluminosilicates and elements of anthropogenic origin in the coarse fraction. For the fine fraction crustal elements were also identified; aluminosilicates, black carbon and spherical particles (C and O) originating from combustion processes were predominant. The use of multivariate analysis to correlate air mass trajectories with the results of the morpho-structural characterization of the particulate matter allowed confirmation of the complex composition of the particles resulting from the combination of both local and long-distance sources. (c) 2019 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.

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