A Study of Probability Models in Monitoring Environmental Pollution in Nigeria
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2014/864965 |
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| author | P. E. Oguntunde O. A. Odetunmibi A. O. Adejumo |
| author_facet | P. E. Oguntunde O. A. Odetunmibi A. O. Adejumo |
| author_sort | P. E. Oguntunde |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9f33a678dcc240cf81e2585869f3562e |
| institution | Kabale University |
| issn | 1687-952X 1687-9538 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Probability and Statistics |
| spelling | doaj-art-9f33a678dcc240cf81e2585869f3562e2025-02-03T01:32:02ZengWileyJournal of Probability and Statistics1687-952X1687-95382014-01-01201410.1155/2014/864965864965A Study of Probability Models in Monitoring Environmental Pollution in NigeriaP. E. Oguntunde0O. A. Odetunmibi1A. O. Adejumo2Department of Mathematics, Covenant University, Ota, Ogun State, NigeriaDepartment of Mathematics, Covenant University, Ota, Ogun State, NigeriaDepartment of Statistics, University of Ilorin, Ilorin, NigeriaIn 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.http://dx.doi.org/10.1155/2014/864965 |
| spellingShingle | P. E. Oguntunde O. A. Odetunmibi A. O. Adejumo A Study of Probability Models in Monitoring Environmental Pollution in Nigeria Journal of Probability and Statistics |
| title | A Study of Probability Models in Monitoring Environmental Pollution in Nigeria |
| title_full | A Study of Probability Models in Monitoring Environmental Pollution in Nigeria |
| title_fullStr | A Study of Probability Models in Monitoring Environmental Pollution in Nigeria |
| title_full_unstemmed | A Study of Probability Models in Monitoring Environmental Pollution in Nigeria |
| title_short | A Study of Probability Models in Monitoring Environmental Pollution in Nigeria |
| title_sort | study of probability models in monitoring environmental pollution in nigeria |
| url | http://dx.doi.org/10.1155/2014/864965 |
| work_keys_str_mv | AT peoguntunde astudyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria AT oaodetunmibi astudyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria AT aoadejumo astudyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria AT peoguntunde studyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria AT oaodetunmibi studyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria AT aoadejumo studyofprobabilitymodelsinmonitoringenvironmentalpollutioninnigeria |