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
Abstract
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. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.