Continuous analysis of stormwater quality control ponds with derived probability models

grantor: University of TorontoThe impacts of urbanization on the environment, and particularly on the natural drainage system, have been well documented. Many structural and non-structural control measures exist to address the quantity and quality of runoff from an urban area. Of these, extended detention dry ponds and wet detention ponds continue to be effective end-of-pipe stormwater management facilities. However, designing these facilities is not a simple task. There is a need for a planning or screening level model which can provide a quick, reliable estimate of the performance of a stormwater management pond. Analytical probabilistic models are capable of assuming this role. In this thesis, a new analytical model is developed for the analysis of wet and dry detention ponds for quantity and quality control. Improvements are made over previous analytical models developed at the University of Toronto, resulting in better agreement with continuous simulation model predictions.M.A.Sc