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A Simple Empirical Model of Aeration at Navigation Dams

by Steven F. Railsback, Oak Ridge Natl Lab, Oak Ridge, United States,



Document Type: Proceeding Paper

Part of: Water Quality Issues at Fossil Fuel Plants

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: Simulation models | Statistics | Mathematical models | Aeration | Regression analysis | Dissolved oxygen | Water resources | Ohio River

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