A Point, Non-Point Source Model of Dissolved Oxygen for the Great Miami River

Steven I. Gordon
Richard K. Fromuth

DOI: 10.2190/E547-8WVN-N7WL-EY6F


A procedure for forecasting bi-weekly dissolved oxygen (DO) levels has been validated for a portion of the Great Miami River in Southwestern Ohio. Point source pollution and land use (non-point) variables were related to mean annual DO levels at monitoring sites using multiple linear regression analysis. Bi-weekly DO concentrations were then generated assuming that they oscillate trigonometrically about annual mean DO as a function of time and historic variance. Test results indicate that standard errors of estimate were less than or equal to 1.5 mg/l for 50 per cent of all stations and less than or equal to 2.0 mg/l for 70 per cent of all stations sampled. Point source BOD, woodland, and commercial land were found to be significant variables in explaining the variance of mean annual DO concentrations.

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