Dispersion Prediction from Current Meters

by Mervyn D. Palmer, (A.M.ASCE), Envir. Engr.; WQSB (Water Quality Surveys Branch), Dept. of San. Engrg., Ontario Water Resources Commission,
J. Bryan Izatt, Engr.; WQSB, Dept. of San. Engrg., Ontario Water Resour. Commission,

Serial Information: Journal of the Hydraulics Division, 1970, Vol. 96, Issue 8, Pg. 1667-1680

Document Type: Journal Paper


Two-dimensional dispersion plumes for the near shore area of Nanticoke on Lake Erie are predicted by applying turbulent diffusion concepts to recording current meter data. Eulerian integral time scales are found from autocorrelation coefficients, based on monthly data. Lagrangian integral space scales and one-dimensional diffusion coefficients are then predicted. Average monthly probability distributions are found based on north-south and east-west diffusion coefficients. The prediction equation is an average of long and short time diffusion equations. The results show better dilution nearer the shore and parallel to it. It has been assumed that vertical diffusion is negligible, that the Reynold's number is large, and that the effective diffusion coefficients are constant over long periods.

Subject Headings: Integrals | Plumes | Nearshore | Lakes | Turbulent diffusion | Hydrologic data | Lagrangian functions | Probability | Lake Erie | Great Lakes

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