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Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana
BACKGROUND: Sources of air pollution in developing country cities include transportation and industrial pollution, biomass and coal fuel use, and resuspended dust from unpaved roads. OBJECTIVES: Our goal was to understand within-neighborhood spatial variability of particulate matter (PM) in communit...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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National Institute of Environmental Health Sciences
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866674/ https://www.ncbi.nlm.nih.gov/pubmed/20056591 http://dx.doi.org/10.1289/ehp.0901365 |
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author | Dionisio, Kathie L. Rooney, Michael S. Arku, Raphael E. Friedman, Ari B. Hughes, Allison F. Vallarino, Jose Agyei-Mensah, Samuel Spengler, John D. Ezzati, Majid |
author_facet | Dionisio, Kathie L. Rooney, Michael S. Arku, Raphael E. Friedman, Ari B. Hughes, Allison F. Vallarino, Jose Agyei-Mensah, Samuel Spengler, John D. Ezzati, Majid |
author_sort | Dionisio, Kathie L. |
collection | PubMed |
description | BACKGROUND: Sources of air pollution in developing country cities include transportation and industrial pollution, biomass and coal fuel use, and resuspended dust from unpaved roads. OBJECTIVES: Our goal was to understand within-neighborhood spatial variability of particulate matter (PM) in communities of varying socioeconomic status (SES) in Accra, Ghana, and to quantify the effects of nearby sources on local PM concentration. METHODS: We conducted 1 week of morning and afternoon mobile and stationary air pollution measurements in four study neighborhoods. PM with aerodynamic diameters ≤ 2.5 μm (PM(2.5)) and ≤ 10 μm (PM(10)) was measured continuously, with matched global positioning system coordinates; detailed data on local sources were collected at periodic stops. The effects of nearby sources on local PM were estimated using linear mixed-effects models. RESULTS: In our measurement campaign, the geometric means of PM(2.5) and PM(10) along the mobile monitoring path were 21 and 49 μg/m(3), respectively, in the neighborhood with highest SES and 39 and 96 μg/m(3), respectively, in the neighborhood with lowest SES and highest population density. PM(2.5) and PM(10) were as high as 200 and 400 μg/m(3), respectively, in some segments of the path. After adjusting for other factors, the factors that had the largest effects on local PM pollution were nearby wood and charcoal stoves, congested and heavy traffic, loose dirt road surface, and trash burning. CONCLUSIONS: Biomass fuels, transportation, and unpaved roads may be important determinants of local PM variation in Accra neighborhoods. If confirmed by additional or supporting data, the results demonstrate the need for effective and equitable interventions and policies that reduce the impacts of traffic and biomass pollution. |
format | Text |
id | pubmed-2866674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-28666742010-05-26 Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana Dionisio, Kathie L. Rooney, Michael S. Arku, Raphael E. Friedman, Ari B. Hughes, Allison F. Vallarino, Jose Agyei-Mensah, Samuel Spengler, John D. Ezzati, Majid Environ Health Perspect Research BACKGROUND: Sources of air pollution in developing country cities include transportation and industrial pollution, biomass and coal fuel use, and resuspended dust from unpaved roads. OBJECTIVES: Our goal was to understand within-neighborhood spatial variability of particulate matter (PM) in communities of varying socioeconomic status (SES) in Accra, Ghana, and to quantify the effects of nearby sources on local PM concentration. METHODS: We conducted 1 week of morning and afternoon mobile and stationary air pollution measurements in four study neighborhoods. PM with aerodynamic diameters ≤ 2.5 μm (PM(2.5)) and ≤ 10 μm (PM(10)) was measured continuously, with matched global positioning system coordinates; detailed data on local sources were collected at periodic stops. The effects of nearby sources on local PM were estimated using linear mixed-effects models. RESULTS: In our measurement campaign, the geometric means of PM(2.5) and PM(10) along the mobile monitoring path were 21 and 49 μg/m(3), respectively, in the neighborhood with highest SES and 39 and 96 μg/m(3), respectively, in the neighborhood with lowest SES and highest population density. PM(2.5) and PM(10) were as high as 200 and 400 μg/m(3), respectively, in some segments of the path. After adjusting for other factors, the factors that had the largest effects on local PM pollution were nearby wood and charcoal stoves, congested and heavy traffic, loose dirt road surface, and trash burning. CONCLUSIONS: Biomass fuels, transportation, and unpaved roads may be important determinants of local PM variation in Accra neighborhoods. If confirmed by additional or supporting data, the results demonstrate the need for effective and equitable interventions and policies that reduce the impacts of traffic and biomass pollution. National Institute of Environmental Health Sciences 2010-05 2010-01-07 /pmc/articles/PMC2866674/ /pubmed/20056591 http://dx.doi.org/10.1289/ehp.0901365 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Dionisio, Kathie L. Rooney, Michael S. Arku, Raphael E. Friedman, Ari B. Hughes, Allison F. Vallarino, Jose Agyei-Mensah, Samuel Spengler, John D. Ezzati, Majid Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title | Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title_full | Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title_fullStr | Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title_full_unstemmed | Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title_short | Within-Neighborhood Patterns and Sources of Particle Pollution: Mobile Monitoring and Geographic Information System Analysis in Four Communities in Accra, Ghana |
title_sort | within-neighborhood patterns and sources of particle pollution: mobile monitoring and geographic information system analysis in four communities in accra, ghana |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866674/ https://www.ncbi.nlm.nih.gov/pubmed/20056591 http://dx.doi.org/10.1289/ehp.0901365 |
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