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- W2093835316 abstract "The overall performance of 18 commonly used reaeration rate coefficient prediction equations was evaluated using statistical metrics of prediction accuracy and bias by comparing predicted reaeration coefficients to a database of values measured using gas tracer techniques. Adapting a commonly applied concept, predictive equations were evaluated in discrete regions of the velocity-depth space. Results indicate that rarely is there a single best prediction equation in a given velocity-depth region, rather there usually is a group of statistically indistinguishable top-performing equations. Also, no single reaeration equation performed well over all hydraulic conditions. Prediction equations, which include slope as a variable are more accurate and have lower bias than those that do not. However, even the top-performing equations exhibited large prediction errors of at least 40–50% and exceeded 100% in some regions. This level of error in predicting reaeration rate coefficients will continue to have a major impact on the uncertainty of dissolved oxygen forecasts from receiving water quality models." @default.
- W2093835316 created "2016-06-24" @default.
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- W2093835316 date "2014-03-01" @default.
- W2093835316 modified "2023-10-07" @default.
- W2093835316 title "Assessing the Performance of Reaeration Prediction Equations" @default.
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- W2093835316 doi "https://doi.org/10.1061/(asce)ee.1943-7870.0000799" @default.
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