Statistical Evaluation of Reaeration Prediction Equations

by Linfield C. Brown, Asst. Prof. of Civ. Engrg.; Tufts, Univ., Medford, MA,

Serial Information: Journal of the Environmental Engineering Division, 1974, Vol. 100, Issue 5, Pg. 1051-1068

Document Type: Journal Paper

Discussion: Chiang Cheng H. (See full record)
Discussion: Lau Daniel H. (See full record)

Abstract: The object of much of the experimentation in atmospheric reaeration of natural streams is to develop models for predicting the reaeration coefficient, k2. These prediction equations are statistical correlations of the hydraulic variables and fluid properties thought to be important in affecting k2. Two previously reported models for predicting k2 are reevaluated in the light of these criteria. Although the models are useful for estimating k2, they do not adequately describe the variation in the observed data because their prediction error is significantly larger than the experimental error. Finally, two statistical models are used to predict k2 from data from a third, independent source. The prediction error varied between a factor of 2 - 3 about the predicted value. Comparison with values predicted by a model founded in the penetration theory for gas absorption was favorable. This suggests that theoretical models hold more promise than empirical correlations as a source for equations to predict k2.

Subject Headings: Data processing | Errors (statistics) | Aeration | Correlation | Hydraulic properties | Ecological restoration | Rivers and streams |

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