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Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) 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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Autores principales: Raysoni, Amit U., Armijos, Rodrigo X., Weigel, M. Margaret, Echanique, Patricia, Racines, Marcia, Pingitore, Nicholas E., Li, Wen-Whai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551112/
https://www.ncbi.nlm.nih.gov/pubmed/28644400
http://dx.doi.org/10.3390/ijerph14070674
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author Raysoni, Amit U.
Armijos, Rodrigo X.
Weigel, M. Margaret
Echanique, Patricia
Racines, Marcia
Pingitore, Nicholas E.
Li, Wen-Whai
author_facet Raysoni, Amit U.
Armijos, Rodrigo X.
Weigel, M. Margaret
Echanique, Patricia
Racines, Marcia
Pingitore, Nicholas E.
Li, Wen-Whai
author_sort Raysoni, Amit U.
collection PubMed
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.
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spelling pubmed-55511122017-08-11 Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador Raysoni, Amit U. Armijos, Rodrigo X. Weigel, M. Margaret Echanique, Patricia Racines, Marcia Pingitore, Nicholas E. Li, Wen-Whai Int J Environ Res Public Health Article 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. MDPI 2017-06-23 2017-07 /pmc/articles/PMC5551112/ /pubmed/28644400 http://dx.doi.org/10.3390/ijerph14070674 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Raysoni, Amit U.
Armijos, Rodrigo X.
Weigel, M. Margaret
Echanique, Patricia
Racines, Marcia
Pingitore, Nicholas E.
Li, Wen-Whai
Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title_full Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title_fullStr Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title_full_unstemmed Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title_short Evaluation of Sources and Patterns of Elemental Composition of PM(2.5) at Three Low-Income Neighborhood Schools and Residences in Quito, Ecuador
title_sort evaluation of sources and patterns of elemental composition of pm(2.5) at three low-income neighborhood schools and residences in quito, ecuador
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551112/
https://www.ncbi.nlm.nih.gov/pubmed/28644400
http://dx.doi.org/10.3390/ijerph14070674
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