Analysing the Dangerous Trends of Air Pollution Over Bo-Sierra Leone Using Fourteen Years of Aerosol Optical Depth Data

Emetere, Moses and Sanni, Samuel Eshorame and Okoro, Emeka Emmanuel (2019) Analysing the Dangerous Trends of Air Pollution Over Bo-Sierra Leone Using Fourteen Years of Aerosol Optical Depth Data. Nature Environment and Pollution Technology, 18 (2). pp. 149-358. ISSN p-ISSN: 0972-6268, e-ISSN: 2395-3454

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Abstract

The atmospheric air quality of a given location gives an indication of the health risks or exposures of the inhabitants of such a place. One major parameter for determining the amount of aerosols in an atmospheric region is the aerosol optical depth (AOD). It is a vital tool for predicting the air quality over a geographic enclave. In this paper, the pollution state of Bo-Sierra Leone was considered. Fifteen years primary (aerosol optical depth) dataset was obtained from a Multi-angle Imaging Spectro- Radiometer (MISR). The secondary datasets that were generated from the primary data were aerosol loading, particle sizes, Angstrom parameter and the statistics of the primary dataset. The results obtained from the investigation are relevant for tackling the excesses that result from errors emanating from the instruments mounted on the ground for data generation. The years October 2001 and 2004 show similar Angstrom value (0.25) in the month of March 2008 but was highest (0.31) in the month of May 2009 followed by the value estimated (0.29) for October 2012; however, it was either lower or somewhat insignificant for other years. Aerosol loading was found to be constant and highest (0.9442) for the months of January-February, and May-November (2000). Years with higher aerosol loading were indicative of higher potentials for pollution relative to years of lower aerosol distribution/ concentration.

Item Type:	Article
Uncontrolled Keywords:	Atmospheric air quality Air pollution Aerosol optical depth Bo-Sierra Leone
Subjects:	Q Science > QC Physics T Technology > TJ Mechanical engineering and machinery T Technology > TP Chemical technology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	11 Jun 2019 07:18
Last Modified:	11 Jun 2019 07:18
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/12731

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