JOURNAL ARTICLE

Elemental Composition and Sources of Atmospheric Particulate Matter in Dar es Salaam, Tanzania

SL MkomaClavery TungarazaWilly MaenhautNico Raes

Year: 2010 Journal:   Ethiopian Journal of Environmental Studies and Management Vol: 3 (1)   Publisher: African Journals OnLine

Abstract

An intensive aerosol field campaign was carried out from 16 August to 16 September 2005 (dry season) at a kerbside in Dar es Salaam, Tanzania. A Gent PM10 stacked filter unit sampler with coarse and fine Nuclepore polycarbonate filters, providing fine (0.4 μm) and coarse (8 μm) size fractions, was deployed. A total of 64 parallel collections were made. All samples were analysed for the PM mass by weighing. A further analysis was performed for 25 elements by particle-induced x-ray emission spectrometry. The PM10 mass, as derived from the stacked filter unit samples, was, on average, 58 μg/m3. The concentrations of the heavy metals were lower than those for the elements of crustal origin. Nevertheless, some typical anthropogenic metals, such as Zn and Pb, exhibited much higher median PM10 levels, suggesting strong local sources for these elements in Dar es Salaam. The results also showed very strong day/night differences for the crustal elements (Al, Si, Ca, Ti and Fe). Most elements exhibit strong correlations in the coarse size fraction and somewhat weaker ones in the fine size fraction suggesting that they may originate predominantly from the same source. Principal component analysis with VARIMAX rotation was applied to the data set. Five and four components were identified for the fine and coarse fractions and explained 86.5% and 90.8% of the variance in the data set respectively.Keywords: PIXE; Atmospheric Aerosols; Elements; Size Fractions; PCA; Kerbside

Keywords:
Aerosol Particulates Environmental science Dar es salaam Environmental chemistry Mineralogy Fraction (chemistry) Atmospheric sciences Chemistry Tanzania Geology

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Citation History

Topics

Radioactivity and Radon Measurements
Health Sciences →  Health Professions →  Radiological and Ultrasound Technology
Heavy metals in environment
Physical Sciences →  Environmental Science →  Pollution
Geochemistry and Geologic Mapping
Physical Sciences →  Computer Science →  Artificial Intelligence

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