A Conceptual Mathematical Examination of the Aerosols Loading over Abuja-Nigeria

Moses Eterigho Emetere, Marvel Akinyemi, Temitope Oladimeji


One of the urban cities in Nigeria known for elevated levels of atmospheric aerosol pollution is Abuja, been the fastest growing city in Nigeria. Due to the health problems associated with this fact, a study of aerosol loading must be prioritized so as to identify the preventive measures required. This study aims at estimating the aerosol loading and retention over Abuja. Statistical AOD analysis for thirteen years was obtained from the Multi-angle imaging spectro radiometer (MISR). Statistical tools, as well as analytically derived model for aerosols loading were used to obtain the aerosols retention and loading over the area. Observations shows that, the highest AOD analysis was found in 2005, the highest skew and kurtosis can be found in 2010 and the highest Kolmogorov-Smirnov stat can be found in 2004. This results shows that the lower atmosphere of Abuja may not be dynamic as cities in the southern Nigeria and proposes an inclusion of the attenuation due to moving aerosols layer into the ITU model which is significant via the atmospheric constants over Abuja. The aerosols retention peak in Abuja occurs every ten years.


Aerosols; AOD analysis; Statistical tool; Analytical dispersion model

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I. Anderson (2005), Niger River Basin: A Vision for Sustainable Development, The World Bank, p. 131.

H. Bian, M. Chin, J.M. Rodriguez, H. Yu, J.E. Penner and S. Strahan (2009), Sensitivity of aerosol optical thickness and aerosol direct radiative effect to relative humidity, Atmos. Chem. Phys. 9, 2375–2386, doi:10.5194/acp-9-2375-2009.

T. Cheng, Y. Peng, J. Feichter and I. Tegen (2008), An improvement on the dust emission scheme in the global aerosol-climate model ECHAM5-HAM, Atmos. Chem. Phys. 8, 1105–1117, doi:10.5194/acp-8-1105-2008.

R. Cherian, C. Venkataraman, A. Kumar, M.M. Sarin, A.K. Sudheer and S. Ramachandran (2010), Source identification of aerosols influencing atmospheric extinction: Integrating pmf and pscf with emission inventories and satellite observations, J. Geophys. Res. 115, D22212, doi:10.1029/2009JD012975.

G. Dongarra, E. Manno, D. Varrica, M. Lombardo and M. Vultaggio (2010), Study on ambient concentrations of PM10, PM10-2.5PM and gaseous pollutants. Trace 2.5 elements and chemical speciation of atmospheric particulates, Atmospheric Environment 44, 5244–5257.

M.E. Emetere, M.L. Akinyemi and O. Akinojo (2015a), Parametric retrieval model for estimating aerosol size distribution via the AERONET, LAGOS station, Elsevier: Environmental Pollution 207 (C), 381–390.

M.E. Emetere, M.L. Akinyemi and O. Akin-Ojo (2015b), Aerosol optical depth trends over different regions of Nigeria: thirteen years analysis, Modern Applied Science 9 (9), 267–279.

M.E. Emetere and M.L. Akinyemi (2013), Modeling of generic air pollution dispersion analysis from cement factory, Analele Universitatii din Oradea-Seria Geografie 231123-628, 181–189.

A. Gettelman and C. Chen (2013), The climate impact of aviation aerosols, Geophysical Research Letters 40, 1–5.

C. Leck and E. Svensson (2015), Importance of aerosol composition and mixing state for cloud droplet activation over the Arctic pack ice in summer, Atmos. Chem. Phys. 15, 2545–2568.

R.E. Wyzga and L.J. Folinsbee (1995), Health effects of acid aerosols, Water, Air, and Soil Pollution 85 (1), 177–188.


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