Within Neighborhood Patterns and Sources of particle Pollution: Mobile Monitoring and GIS Analysis in Four Accra Communities

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dc.contributor.authorDionisio, K. L.
dc.contributor.authorRooney, M. S.
dc.contributor.authorArku, R. E.
dc.contributor.authorFriedman, A. B.
dc.contributor.authorPaciorek, C.
dc.contributor.authorHughes, A. F.
dc.contributor.authorVallarino, J.
dc.contributor.authorCarmichael, H.
dc.contributor.authorAgyei-Mensah, S.
dc.contributor.authorSpengler, J. D.
dc.contributor.authorEzzati, M.
dc.date.accessioned2018-09-19T14:53:50Z
dc.date.available2018-09-19T14:53:50Z
dc.date.issued2010
dc.descriptionArticleen_US
dc.description.abstractSources of air pollution in developing country cities include transportation and industrial pollution, biomass and coal fuel use, and resuspended dust from unpaved roads. Our goal was to understand within-neighborhood spatial variability of particulate mat¬ter (PM) in communities of varying socioeconomic status (SES) in Accra, Ghana, and to quantify the effects of nearby sources on local PM concentration.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 (PM2.5) and ≤ 10 μm (PM10) 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. In our measurement campaign, the geometric means of PM2.5 and PM10 along the mobile monitoring path were 21 and 49 μg/m3, respectively, in the neighborhood with highest SES and 39 and 96 μg/m3, respectively, in the neighborhood with lowest SES and highest population den¬sity. PM2.5 and PM10 were as high as 200 and 400 μg/m3, 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. 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.en_US
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/24278
dc.language.isoenen_US
dc.publisherEnvironmental Health Perspectivesen_US
dc.subjectPollutionen_US
dc.subjectMobile Monitoringen_US
dc.subjectDeveloping Countriesen_US
dc.titleWithin Neighborhood Patterns and Sources of particle Pollution: Mobile Monitoring and GIS Analysis in Four Accra Communitiesen_US
dc.typeArticleen_US

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