Spatial and temporal patterns of particulate matter sources and pollution in four communities in Accra, Ghana

Simple item page
dc.contributor.authorRooney, M.S.
dc.contributor.authorArku, R.E.
dc.contributor.authorDionisio, K.L.
dc.contributor.authorPaciorek, C.
dc.contributor.authorFriedman, A.B.
dc.contributor.authorCarmichael, H.
dc.contributor.authorZhoua, Z.
dc.contributor.authorHughes, A.F.
dc.contributor.authorVallarino, J.
dc.contributor.authorAgyei-Mensah, S.
dc.contributor.authorSpengler, J.D.
dc.contributor.authorEzzati, M.
dc.date.accessioned2013-01-02T15:05:01Z
dc.date.accessioned2017-10-14T14:06:14Z
dc.date.available2013-01-02T15:05:01Z
dc.date.available2017-10-14T14:06:14Z
dc.date.issued2012
dc.description.abstractSources of air pollution in developing country cities include transportation and industrial pollution, biomass fuel use, and re-suspended dust from unpaved roads. We examined the spatial patterns of particulate matter (PM) and its sources in four neighborhoods of varying socioeconomic status (SES) in Accra. PM data were from 1 week of morning and afternoon mobile and stationary air pollution measurements in each of the study neighborhoods. PM2.5 and PM10 were measured continuously, with matched GPS coordinates. Data on biomass fuel use were from the Ghana 2000 population and housing census and from a census of wood and charcoal stoves along the mobile monitoring paths. We analyzed the associations of PM with sources using a mixed-effects regression model accounting for temporal and spatial autocorrelation. After adjusting for other factors, the density of wood stoves, fish smoking, and trash burning along the mobile monitoring path as well as road capacity and surface were associated with higher PM2.5. Road capacity and road surface variables were also associated with PM10, but the association with biomass sources was weak or absent. While wood stoves and fish smoking were significant sources of air pollution, addressing them would require financial and physical access to alternative fuels for low-income households and communities.en_US
dc.identifier.citationScience of the Total Environment, (435-436): 107-114en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/2256
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectAir pollutionen_US
dc.subjectParticulate matteren_US
dc.subjectBiomassen_US
dc.subjectAfricaen_US
dc.subjectGeographic information systemen_US
dc.subjectSpatial analysisen_US
dc.titleSpatial and temporal patterns of particulate matter sources and pollution in four communities in Accra, Ghanaen_US
dc.typeArticleen_US

Files

License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.82 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
No Thumbnail Available
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Geography and Resource Development