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Journal of Probability and Statistics
Volume 2014 (2014), Article ID 864965, 6 pages
Research Article

A Study of Probability Models in Monitoring Environmental Pollution in Nigeria

1Department of Mathematics, Covenant University, Ota, Ogun State, Nigeria
2Department of Statistics, University of Ilorin, Ilorin, Nigeria

Received 29 January 2014; Revised 17 April 2014; Accepted 18 April 2014; Published 5 May 2014

Academic Editor: Zhidong Bai

Copyright © 2014 P. E. Oguntunde et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In Lagos State, Nigeria, pollutant emissions were monitored across the state to detect any significant change which may cause harm to human health and the environment at large. In this research, three theoretical distributions, Weibull, lognormal, and gamma distributions, were examined on the carbon monoxide observations to determine the best fit. The characteristics of the pollutant observation were established and the probabilities of exceeding the Lagos State Environmental Protection Agency (LASEPA) and the Federal Environmental Protection Agency (FEPA) acceptable limits have been successfully predicted. Increase in the use of vehicles and increase in the establishment of industries have been found not to contribute significantly to the high level of carbon monoxide concentration in Lagos State for the period studied.