Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya

Sources of airborne particulate matter and their seasonal variation in urban areas in Sub-Saharan Africa are poorly understood due to lack of long-term measurement data. In view of this, filter samples of airborne particulate matter (particle diameter &le;2.5 μm, PM<sub>2.5</sub>) we...

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Main Authors: S. M. Gaita, J. Boman, M. J. Gatari, J. B. C. Pettersson, S. Janhäll
Format: Article
Language:English
Published: Copernicus Publications 2014-09-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/14/9977/2014/acp-14-9977-2014.pdf
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spelling doaj-8f5fb77c3e014bf7ae25d735a81824ac2020-11-25T00:59:47ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242014-09-0114189977999110.5194/acp-14-9977-2014Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, KenyaS. M. Gaita0J. Boman1M. J. Gatari2J. B. C. Pettersson3S. Janhäll4Department of Chemistry and Molecular Biology, Atmospheric Science, University of Gothenburg, 412 96 Gothenburg, SwedenDepartment of Chemistry and Molecular Biology, Atmospheric Science, University of Gothenburg, 412 96 Gothenburg, SwedenInstitute of Nuclear Science and Technology, University of Nairobi, P.O. Box 30197, 00100 Nairobi, KenyaDepartment of Chemistry and Molecular Biology, Atmospheric Science, University of Gothenburg, 412 96 Gothenburg, SwedenVTI &ndash; Swedish National Road and Transport Research Institute, P.O. Box 8072, 402 78 Gothenburg, SwedenSources of airborne particulate matter and their seasonal variation in urban areas in Sub-Saharan Africa are poorly understood due to lack of long-term measurement data. In view of this, filter samples of airborne particulate matter (particle diameter &le;2.5 μm, PM<sub>2.5</sub>) were collected between May 2008 and April 2010 at two sites (urban background site and suburban site) within the Nairobi metropolitan area. A total of 780 samples were collected and analyzed for particulate mass, black carbon (BC) and 13 trace elements. The average PM<sub>2.5</sub> concentration at the urban background site was 21±9.5 μg m<sup>−3</sup>, whereas the concentration at the suburban site was 13±7.3 μg m<sup>−3</sup>. The daily PM<sub>2.5</sub> concentrations exceeded 25 μg m<sup>−3</sup> (the World Health Organization 24 h guideline value) on 29% of the days at the urban background site and 7% of the days at the suburban site. At both sites, BC, Fe, S and Cl accounted for approximately 80% of all detected elements. Positive matrix factorization analysis identified five source factors that contribute to PM<sub>2.5</sub> in Nairobi, namely traffic, mineral dust, industry, combustion and a mixed factor (composed of biomass burning, secondary aerosol and aged sea salt). Mineral dust and traffic factors were related to approximately 74% of PM<sub>2.5</sub>. The identified source factors exhibited seasonal variation, apart from the traffic factor, which was prominently consistent throughout the sampling period. Weekly variations were observed in all factors, with weekdays having higher concentrations than weekends. The results provide information that can be exploited for policy formulation and mitigation strategies to control air pollution in Sub-Saharan African cities.http://www.atmos-chem-phys.net/14/9977/2014/acp-14-9977-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. M. Gaita
J. Boman
M. J. Gatari
J. B. C. Pettersson
S. Janhäll
spellingShingle S. M. Gaita
J. Boman
M. J. Gatari
J. B. C. Pettersson
S. Janhäll
Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
Atmospheric Chemistry and Physics
author_facet S. M. Gaita
J. Boman
M. J. Gatari
J. B. C. Pettersson
S. Janhäll
author_sort S. M. Gaita
title Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
title_short Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
title_full Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
title_fullStr Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
title_full_unstemmed Source apportionment and seasonal variation of PM<sub>2.5</sub> in a Sub-Saharan African city: Nairobi, Kenya
title_sort source apportionment and seasonal variation of pm<sub>2.5</sub> in a sub-saharan african city: nairobi, kenya
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2014-09-01
description Sources of airborne particulate matter and their seasonal variation in urban areas in Sub-Saharan Africa are poorly understood due to lack of long-term measurement data. In view of this, filter samples of airborne particulate matter (particle diameter &le;2.5 μm, PM<sub>2.5</sub>) were collected between May 2008 and April 2010 at two sites (urban background site and suburban site) within the Nairobi metropolitan area. A total of 780 samples were collected and analyzed for particulate mass, black carbon (BC) and 13 trace elements. The average PM<sub>2.5</sub> concentration at the urban background site was 21±9.5 μg m<sup>−3</sup>, whereas the concentration at the suburban site was 13±7.3 μg m<sup>−3</sup>. The daily PM<sub>2.5</sub> concentrations exceeded 25 μg m<sup>−3</sup> (the World Health Organization 24 h guideline value) on 29% of the days at the urban background site and 7% of the days at the suburban site. At both sites, BC, Fe, S and Cl accounted for approximately 80% of all detected elements. Positive matrix factorization analysis identified five source factors that contribute to PM<sub>2.5</sub> in Nairobi, namely traffic, mineral dust, industry, combustion and a mixed factor (composed of biomass burning, secondary aerosol and aged sea salt). Mineral dust and traffic factors were related to approximately 74% of PM<sub>2.5</sub>. The identified source factors exhibited seasonal variation, apart from the traffic factor, which was prominently consistent throughout the sampling period. Weekly variations were observed in all factors, with weekdays having higher concentrations than weekends. The results provide information that can be exploited for policy formulation and mitigation strategies to control air pollution in Sub-Saharan African cities.
url http://www.atmos-chem-phys.net/14/9977/2014/acp-14-9977-2014.pdf
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