Omole, D. O. and Longe, E.O. and Musa, G. A. (2013) An Approach to Reaeration Coefficient Modeling in Local Surface Water Quality Monitoring. Environmental Modeling and Assessment, 18 (1). pp. 85-94. ISSN 1420-2026
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Abstract
Reaeration coefficient (k2) for River Atuwara, Ogun State, Nigeria was calculated from dissolved oxygen and biochemical oxygen demand data collected over period of 3 months covering the two prevailing climatic seasons in the country. Both the Akaike and Bayesian information criteria were used in the selection and analysis of ten models to identify the most suitable reaeration coefficient (k2) model for Atuwara River. Models that passed the confidence limit were subjected to model evaluation using measures of agreement between observed and predicted data such as percent bias, Nash–Sutcliffe efficiency, and root mean square observation standard deviation ratio. The used approach yield better results than empirical models developed for local conditions while it is also useful in conserving scarce resources.
Item Type: | Article |
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Uncontrolled Keywords: | Reaeration coefficient, Akaike information criteria, Bayesian information criteria, Modeling, Model evaluation |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment |
Depositing User: | Dr D.O. OMOLE |
Date Deposited: | 16 Feb 2015 09:55 |
Last Modified: | 16 Feb 2015 09:55 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/3497 |
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- An Approach to Reaeration Coefficient Modeling in Local Surface Water Quality Monitoring. (deposited 16 Feb 2015 09:55) [Currently Displayed]
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