Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
Elemental characterization of fine particulate matter was undertaken at schools and residences in three low income neighborhoods in Quito, Ecuador. The three zones were located in the northern (Cotocollao), south central (El Camal), and south east (Los Chillos) neighborhoods and were classified as z...
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oai:localhost:28000-51042017-12-14T17:04:00Z Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador Armijos Moreta, Rodrigo Xavier Weigel, Mary Margaret ELEMENTAL COMPOSITION PM2.5 ENRICHMENT FACTORS PRINCIPAL COMPONENT ANALYSIS SCHOOLS RESIDENCES QUITO Elemental characterization of fine particulate matter was undertaken at schools and residences in three low income neighborhoods in Quito, Ecuador. The three zones were located in the northern (Cotocollao), south central (El Camal), and south east (Los Chillos) neighborhoods and were classified as zones 1?3, respectively. Forty elements were quantified via ICP-MS analysis. Amongst the geogenic elements, the concentration of Si was the most abundant followed by S, Al, and Ca. Elements with predominantly anthropogenic sources such as Zn, V, and Ni were higher in zone 3 school followed by zone 2 and zone 1 schools. Enrichment factors were calculated to study the role of crustal sources in the elemental concentrations. Geogenic elements, except K, all had values <10 and anthropogenic elements such as Ni, V, Zn, Pb, As, Cr had >10. Principal Component Analysis suggested that Ni and V concentrations were strongly attributable to pet coke and heavy oil combustion. Strong associations between As and Pb could be attributed to traffic and other industrial emissions. Resuspended dust, soil erosion, vehicular emissions (tailpipe, brake and tire wear, and engine abrasion), pet coke, heavy oil combustion, and heavy industrial operations were major contributors to air pollution. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551112/ 2017-12-14T17:02:50Z 2017-12-14T17:02:50Z 2017 article Raysoni, A., Armijos, R., Weigel, M., et al. (2017). Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador. International Journal of Environmental Research and Public Health. Vol. 14(7): 674. 1660-4601 1661-7827 http://repositorio.educacionsuperior.gob.ec/handle/28000/5104 eng DOI;10.3390/ijerph14070674 openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ |
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Artículos |
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ELEMENTAL COMPOSITION PM2.5 ENRICHMENT FACTORS PRINCIPAL COMPONENT ANALYSIS SCHOOLS RESIDENCES QUITO |
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ELEMENTAL COMPOSITION PM2.5 ENRICHMENT FACTORS PRINCIPAL COMPONENT ANALYSIS SCHOOLS RESIDENCES QUITO Armijos Moreta, Rodrigo Xavier Weigel, Mary Margaret Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
description |
Elemental characterization of fine particulate matter was undertaken at schools and residences in three low income neighborhoods in Quito, Ecuador. The three zones were located in the northern (Cotocollao), south central (El Camal), and south east (Los Chillos) neighborhoods and were classified as zones 1?3, respectively. Forty elements were quantified via ICP-MS analysis. Amongst the geogenic elements, the concentration of Si was the most abundant followed by S, Al, and Ca. Elements with predominantly anthropogenic sources such as Zn, V, and Ni were higher in zone 3 school followed by zone 2 and zone 1 schools. Enrichment factors were calculated to study the role of crustal sources in the elemental concentrations. Geogenic elements, except K, all had values <10 and anthropogenic elements such as Ni, V, Zn, Pb, As, Cr had >10. Principal Component Analysis suggested that Ni and V concentrations were strongly attributable to pet coke and heavy oil combustion. Strong associations between As and Pb could be attributed to traffic and other industrial emissions. Resuspended dust, soil erosion, vehicular emissions (tailpipe, brake and tire wear, and engine abrasion), pet coke, heavy oil combustion, and heavy industrial operations were major contributors to air pollution. |
author |
Armijos Moreta, Rodrigo Xavier Weigel, Mary Margaret |
author_facet |
Armijos Moreta, Rodrigo Xavier Weigel, Mary Margaret |
author_sort |
Armijos Moreta, Rodrigo Xavier |
title |
Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
title_short |
Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
title_full |
Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
title_fullStr |
Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
title_full_unstemmed |
Evaluation of Sources and Patterns of Elemental Composition of PM2.5 at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador |
title_sort |
evaluation of sources and patterns of elemental composition of pm2.5 at three low-income neighborhood schools and residences in quito, ecuador |
publishDate |
2017 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/5104 |
_version_ |
1634995313394581504 |
score |
11,871979 |