Reliable regional low fl ow frequency relations were developed for central Ontario using two easily determined parameters: basin area and a dimensionless basefl ow index. Regression models were developed for two measures of low fl ow: the median 7-day low fl ow and the ratio of the 20-year to the median 7-day low fl ow. The dependent variables were determined from single station low fl ow frequency analyses of 7-day low fl ow series at 38 hydrometric stations in central Ontario that are classifi ed as natural fl ow. A second model for predicting median 7-day low fl ow was derived using three physically based parameters as predictor variables: area, mean basin slope and the area of permeable soil. Use of these physically based parameters is a promising alternative to using the basefl ow index. While the models described apply only to the region for which they were developed, and only within specifi c ranges of predictor variables, the approach described could be used in other areas.
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