A Simple Empirical Model of Aeration at Navigation Damsby Steven F. Railsback, Oak Ridge Natl Lab, Oak Ridge, United States,
Abstract: In a study of aeration at 28 dams in the upper Ohio River basin, site-specific least-squares linear regression models were used to describe the dissolved oxygen deficit below each dam as a linear function of the deficit above the dam. A linear statistical model was chosen because theory-based models are not readily applicable to navigation dams and because previous empirical models do not simulate the supersaturation that field data showed. The statistical model simulates supersaturation, is an adequate predictor of aeration at almost all of the dams, and allows easy analysis of uncertainties.
Subject Headings: Hydraulic models | Navigation dams | Aeration | Simulation models | Mathematical models | Navigation (geomatic) | Empirical equations | Regression analysis | Data processing | Hydrologic models | Ohio River
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