Composite Goodness of Fit in Reaeration Coeffcient Modeling
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Canadian Center of Science and Education
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Determination of reaeration coefficient is an important factor in surface water quality modeling as it determines
the efficiency of the Streeter-Phelps model used for predicting dissolved oxygen deficit of any stream. This study
compared the efficiency of Atuwara model with ten other reaeration coefficients models by making use of three
data sets obtained from river Atuwara during the prevalent wet and dry seasons using composite goodness of fit
test which was developed by quantitatively combining statistical and graphical goodness of fit. The eleven tested
models were ranked in order of performance. Results show that the four top ranking models were developed
through a process that utilized data from multiple streams while models that were developed from data obtained
from the test subject alone performed less competitively. The outcome of the study also suggests that the usual
practice of selecting the best model based on statistical analysis alone does not necessarily yield the best result
and therefore recommended the incorporation of quantitatively analyzed graphs. The paper concludes that
selection of the best performing model among existing reaeration coefficient models using the composite
goodness of fit may present a cheaper and better alternative to conventional model development approach.
Keywords
TA Engineering (General). Civil engineering (General)