A Study of Probability Models in Monitoring Environmental Pollution in Nigeria
Joint Authors
Oguntunde, P. E.
Odetunmibi, O. A.
Adejumo, A. O.
Source
Journal of Probability and Statistics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Oguntunde, P. E.& Odetunmibi, O. A.& Adejumo, A. O.. 2014. A Study of Probability Models in Monitoring Environmental Pollution in Nigeria. Journal of Probability and Statistics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042859
Modern Language Association (MLA)
Oguntunde, P. E.…[et al.]. A Study of Probability Models in Monitoring Environmental Pollution in Nigeria. Journal of Probability and Statistics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1042859
American Medical Association (AMA)
Oguntunde, P. E.& Odetunmibi, O. A.& Adejumo, A. O.. A Study of Probability Models in Monitoring Environmental Pollution in Nigeria. Journal of Probability and Statistics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042859