A simple empirical model of aeration at navigation dams

Conference · Mon Jan 01 00:00:00 EST 1990

OSTI ID:6659757

Railsback, S F

In a study of aeration at 28 dams in the upper Ohio River basin, a least-squares linear regression model was developed to predict the dissolved oxygen deficit below the 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. 8 refs., 6 figs.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: DOE/CE
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 6659757
• Report Number(s): CONF-9009164-1; ON: DE90015537
• Resource Relation: Conference: 2. international symposium on gas transfer at water surfaces, Minneapolis, MN (USA), 11-14 Sep 1990
• Country of Publication: United States
• Language: English

Related Subjects

13 HYDRO ENERGY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DAMS
ENVIRONMENTAL EFFECTS
HYDROELECTRIC POWER
OHIO RIVER
DISSOLVED GASES
WATER RESERVOIRS
OXYGEN
AERATION
COMPUTERIZED SIMULATION
REGRESSION ANALYSIS
STATISTICAL MECHANICS
STATISTICAL MODELS
SUPERSATURATION
WATER QUALITY
ELECTRIC POWER
ELEMENTS
ENERGY SOURCES
ENVIRONMENTAL QUALITY
FLUIDS
GASES
MATHEMATICAL MODELS
MATHEMATICS
MECHANICS
NONMETALS
POWER
RENEWABLE ENERGY SOURCES
RIVERS
SATURATION
SIMULATION
SOLUTES
STATISTICS
STREAMS
SURFACE WATERS
130600* - Hydro Energy- Environmental Aspects
990200 - Mathematics & Computers