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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Temporal and Spatial Variability of Ambient Volatile Organic Compounds (VOCs) Pollution in Ilupeju Industrial Areas of Lagos State, Southwestern - Nigeria
by Ojiodu, C. C and Uwadia, N. O

The results of seasonal and spatial distribution of volatile organic compounds (VOCs) in ambient air in Ilupeju Industrial Area during May, 2010 to April, 2011 are presented. This results were analysed in other to present information about the detailed nature of air quality situation in the sampled areas. The air samples were collected by passive sampler (ORSA 5). The air samplers were exposed to a height of 1.5-2.0 m and sampling was carried out four times a month for a period of 12 months.The adsorbed VOCs were desorbed with carbondisulphide (CS2) and the solution analysed using Gas Chromatography (GC) fitted with Flame Ionization, Detector (FID). The results from analysis of the air samples collected showed that twenty (26) VOCs were captured. The VOCs in the industrial area were classified thus: aromatics 43%, halogenated 40%, esters 2%, ketones 6%, alcohols 5%, ethers 4%. There is a significant difference (Pvalue < 0.05) between the levels of VOCs in Ilupeju. Despite Comparatively higher concentrations of VOCs at the studied sites, there is a significant difference in the spatial distribution. At a lower wind speed, the VOCs concentrations tend to increase and become uniformly distributed around the Industrial Areas. The seasonal distribution shows a decrease in ambient concentrations of VOCs from May to July due to Atmospheric (dilution) wash down by rain. The results of two - ways factor ANOVA analysis of the monthly average of total volatile organic compounds revealed that there is significant difference (Pvalue < 0.05) in seasonal and spatial variations of TVOC concentrations in the studied areas. The meteorological parameters showed significant correlations with the ambient concentrations of VOCs.
Keywords: spatial, anthropogenic, temporal, industrial, ambient.
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



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