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American Journal of Environmental Policy and Management

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Mathematical Model of Air Quallity in the Ahinsan-Atonsu-Agogo Industrial Area of Kumasi, Ghana

American Journal of Environmental Policy and Management
Vol.3 , No. 1, Publication Date: Jun. 13, 2017, Page: 1-11

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Authors

[1]	Godfred Owusu-Boateng, Faculty of Renewable Natural Resources, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
[2]	Francis Tabi Oduro, Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
[3]	Kofi Sarpong, Faculty of Science and Environment Education, University of Education, Winneba, Asante-Mampong, Ghana.

Abstract

Air pollution poses a serious threat to socio-economic development, with the tendency of even adversely affecting the survival of an entire population. This study aimed at modeling the concentrations of SO₂, NO₂ and CO as well as some aerodynamic quantities in the Ahinsan-Atonsu-Agogo Industrial Area of Kumasi to assess the extent of air pollution and their growth rates using the statistical method of system identification based on autoregressive time series analysis, leading to deterministic discrete - time linear autonomous models. Results showed models of the first order which are unstable with generally escalating growth rates. For the CO at high levels, no model was obtained for the gas. Except in the horizontal direction in the morning, the speed and direction of the wind affected the movement of gases in all periods. The escalating growth rates may be due to vehicular traffic, clustering of industries and power plants in the area. Building of chimneys high enough for effective dispersal and dilution of pollutants, construction of bypasses around the industrial area to prevent concentration of vehicles, are some of the measures that could avert the associated devastating consequences in the near future.

Keywords

Air Pollution, Industrial Area, Autoregressive Time Series, Model, Growth Rate

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