Publication Type Journal Article
Title Characterization of atmospheric aerosol (PM10 and PM2.5) from a medium sized city in Sao Paulo state, Brazil
Authors Bruno T. Franzin Filipe C. Guizellini Diego V. de Babos Ossamu Hojo Ieda Ap. Pastre Mary R. R. Marchi Fernando L. Fertonani Cristina M. Oliveira
Groups Chem4Env
Journal JOURNAL OF ENVIRONMENTAL SCIENCES
Year 2020
Month March
Volume 89
Number
Pages 238-251
Abstract 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.
DOI http://dx.doi.org/10.1016/j.jes.2019.09.014
ISBN
Publisher
Book Title
ISSN 1001-0742
EISSN 1878-7320
Conference Name
Bibtex ID ISI:000504755800021
Observations
Back to Publications List