Approach to Reaeration Coefficient Modeling in Local Surface Water Quality Monitoring

Reaeration coefficient (k ₂) 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 th...

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Bibliographic Details
Published in:Environmental modeling & assessment 2013-02, Vol.18 (1), p.85-94
Main Authors: Omole, D. O, Longe, E. O, Musa, A. G
Format: Article
Language:English
Subjects:
Analysis
Applications of Mathematics
Aquatic resources
Assessments
Bayesian analysis
Biochemical oxygen demand
Coefficients
Creeks & streams
Dissolution
Dissolved oxygen
Earth and Environmental Science
Efficiency
Environment
Environmental conditions
Environmental monitoring
Hypotheses
Math. Appl. in Environmental Science
Mathematical Modeling and Industrial Mathematics
Mathematical models
monitoring
Operations Research/Decision Theory
Quality control
Rivers
seasons
Standard deviation
Statistics
Studies
Surface water
Water monitoring
Water pollution
Water quality
Water quality management
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Summary:Reaeration coefficient (k ₂) 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 (k ₂) 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.
ISSN:1420-2026
1573-2967
DOI:10.1007/s10666-012-9328-0