Journals / Atmospheric Pollution Research / 2016 / Cilt: 7 - Sayı: 5

Source apportionment analyses for fine (PM2.5) and coarse (PM2.5e10) mode particulate matter (PM) measured in an urban area in southwestern Nigeria

Pages
843–857
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The highest contributions were associated with northwesterly windfrom the urbanized areas of Ile-Ife.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:To determine the influence of regional and local sources of the fine and coarse fractions of airborneparticulate matter (PM), samples were collected in 2006, 2007, 2010, and 2013 covering the 2 majorseasons (wet and dry) at multiple locations in Ile-Ife, Nigeria.
📊
Key Findings & Data:A total of 216 samples for each of the PM2.5and PM2.5e10 were collected on polycarbonate filters using low volume Gent samplers.
💡
Conclusion & Impact:The highest contributions were associated with northwesterly windfrom the urbanized areas of Ile-Ife.
🔬Design:Research Article
📍Scope:2006 · 216 samples
⚙️Variables:Domain Parameters

Özet

To determine the influence of regional and local sources of the fine and coarse fractions of airborneparticulate matter (PM), samples were collected in 2006, 2007, 2010, and 2013 covering the 2 majorseasons (wet and dry) at multiple locations in Ile-Ife, Nigeria. A total of 216 samples for each of the PM2.5and PM2.5e10 were collected on polycarbonate filters using low volume Gent samplers. Elements andblack carbon was measured using x-ray fluorescence (XRF) spectrometry and optical transmissometry,respectively. The average mass concentration for the PM2.5 and PM2.5e10 at Obafemi Awolowo University(OAU) in 2006, 2007, and 2010 exceeded the annual National Ambient Air Quality Standards (NAAQS) of15 and 60 mg/m3 for PM2.5 and PM2.5e10, respectively. At the Obafemi Awolowo University TeachingHospital Complex (OAUTHC) sites, the PM2.5 and PM2.5e10 mass fractions also exceeded the NAAQSstandards except at the urban background site. Positive matrix factorization (PMF) was used to identifyand apportion the PM sources for the combined data from these sampling sites. Four sources each wereidentified for both PM2.5 and PM2.5e10. The sources are soil (44%), savannah burning (26%), scrap processing(18%) and vehicular emissions (12%) for PM2.5 and soil plus biomass burning (71%), sea salt (22%),scrap processing (5%) and vehicle emissions (tire wear) (2%) for PM2.5e10. Most of the PM mass originatedfrom anthropogenic contributions. The highest contributions were associated with northwesterly windfrom the urbanized areas of Ile-Ife.

🔖

Cite This Article

OWOADE, K. O., HOPKE, P. K., OLİSE, F. S., ADEWOLE, O. O., OGUNDELE, L. T., FAWOLE, O. G. (2016). Source apportionment analyses for fine (PM2.5) and coarse (PM2.5e10) mode particulate matter (PM) measured in an urban area in southwestern Nigeria. Atmospheric Pollution Research, Cilt: 7 - Sayı: 5, 843–857. https://ajindex.com/articles/351539

References (2)

  1. Adachi, K., Tainsho, Y., 2004. Characterisation of heavy metal particles embedded in tire dust. Environ. Int. 30, 1009e1017. Adole, T., 2011. A GIS Based Assessment of the Impacts of Gas Flaring on Vegetation Cover in Delat State, Nigeria. Masters Thesis. University of East Anglia, United Kingdom, p. 107. Ajala, O., Olayiwola, A., 2013. An assessment of the growth of Ile-Ife, Osun state Nigeria, using multi-temporal imageries. J. Geogr. Geol. 5, 43e54. Akinlade, G.O., Olaniyi, H.B., Olise, F.S., Owoade, O.K., Almeida, S.M., AlmeidaSilva, M., Hopke, P.K., 2015. Spatial and temporal variations of the particulate size distribution and chemical composition over Ibadan, Nigeria. Environ. Monit. Assess. 187, 544e560. Almeida, S., Pio, C., Freitas, M., Reis, M., Trancoso, M., 2005. Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast. Atmos. Environ. 39, 3127e3138. Almeida, S.M., Pio, C.A., Freitas, M.C., Reis, M.A., Trancoso, M.A., 2006. Source apportionment of atmospheric urban aerosol based on weekdays/weekend variability: evaluation of road re-suspended dust contribution. Atmos. Environ. 40, 2058e2067.
  2. Ashbaugh, L.L., Malm, W.C., Sadeh, W.Z., 1985. A residence time probability analysis of sulfur concentrations at Grand Canyon National Park. Atmos. Environ. 19, 1263e1270. Begum, B.A., Kim, E., Biswas, S.K., Hopke, P.K., 2004. Investigation of sources of atmospheric aerosol at urban and semi-urban areas in Bangladesh. Atmos. Environ. 38, 3025e3038. Begum, B.A., Biswas, S.K., Hopke, P.K., Cohen, D.D., 2006. Multi-element analysis and characterization of atmospheric particulate pollution in Dhaka. Aerosol Air Qual. Res. 6, 334e359. Begum, B.A., Biswas, S.K., Hopke, P.K., 2011. Key issues in controlling air pollutants in Dhaka. Bangladesh. Atmos. Environ. 45, 7705e7713. Bellis, M.A., Lowey, H., Leckenby, N., Hughes, K., Harrison, D., 2013. Adverse Childhood experiences: retrospective study to determine their impact on adult health behaviours and health outcomes in a UK population. Journal of Public Health 36, 81e91. Bond, T.C., Doherty, S.J., Fahey, D.W., Forster, P.M., Berntsen, T., DeAngelo, B.J., Flanner, M.G., Ghan, S., Karcher, B., Koch, D., Kinne, S., Kondo, Y., Quinn, P.K., Sarofim, M.C., Schultz, M.G., Schulz, M., Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S.K., Hopke, P.K., Jacobson, M.Z., Kaiser, J.W., Klimont, Z., Lohmann, U., Schwarz, J.P., Shindell, D., Storelvmo, T., Warre