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

Mathematics

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