Autor(es): Franzin, Bruno T. ; Guizellini, Filipe C. [UNESP] ; de Babos, Diego V. ; Hojo, Ossamu [UNESP] ; Pastre, Iêda Ap [UNESP] ; Marchi, Mary R R [UNESP] ; Fertonani, Fernando L. ; Oliveira, Cristina M R R
Data: 2020
Identificador Persistente: http://hdl.handle.net/11449/199901
Origem: Oasisbr
Assunto(s): PM(10); PM(2.5); SEM-EDS; Urban aerosol; WD-XRF; PM(10); PM(10); PM(2.5); PM(2.5); SEM-EDS; SEM-EDS; Urban aerosol; Urban aerosol; WD-XRF; WD-XRF
Made available in DSpace on 2020-12-12T01:52:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-03-01
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 the PM2.5 and PM10 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 São José do Rio Preto, Brazil. The mean mass concentration values obtained were 24.54 μg/m3 for PM10, above the WHO annual standard value of 20 μg/m3 and 10.88 μg/m3 for PM2.5 whose WHO recommended limit is 10 μg/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.
São Paulo State University (Unesp), Chemistry Institute, Analytical Chemistry Department, Araraquara, SP, 14800-060, Brazil; Centro de Química Estrutural - Faculdade de Ciências da Universidade de Lisboa, Edif. C8, Campo Grande, 1749-016 Lisboa, Portugal
São Paulo State University (Unesp) Chemistry Institute Analytical Chemistry Department
Federal University of São Carlos - UFSCAr Chemistry Department
Chemistry and Environmental Sciences Department Biosciences Languages and Exact Sciences Institute Ibilce São Paulo State University (Unesp)
São Paulo State University (Unesp), Chemistry Institute, Analytical Chemistry Department, Araraquara, SP, 14800-060, Brazil; Chemistry and Environmental Sciences Department, Biosciences, Languages and Exact Sciences Institute, Ibilce, São Paulo State University (Unesp), São José do Rio Preto, SP, 15054-000, Brazil
Centro de Química Estrutural - Faculdade de Ciências da Universidade de Lisboa Edif. C8
São Paulo State University (Unesp) Chemistry Institute Analytical Chemistry Department
Chemistry and Environmental Sciences Department Biosciences Languages and Exact Sciences Institute Ibilce São Paulo State University (Unesp)
