A Planning Tool for Stormwater Quality Management in Urbanized Areas: the City of Scarborough Case Study
Abstract One of the many challenges municipalities in the Great Lakes Remedial Action Plan (RAP) areas must face is the lack of a screening tool to determine stormwater quality management options in their urbanized areas. In support of the RAP process, Environment Canada, through the Great Lakes 2000 Cleanup Fund, the Ontario Ministry of Environment and Energy, and the City of Scarborough, commissioned Ryerson Polytechnic University to develop a generic planning strategy for stormwater quality management in urbanized areas. The generic planning strategy comprises five steps: (1) identification of ecosystem and economic goals and objectives; (2) identification of feasible retrofit stormwater management practices (RSWMPs); (3) formulation of alternative stormwater quality management strategies in accordance with a preferred hierarchy of RSWMPs; (4) evaluation of alternative strategies with respect to cost-effectiveness; and (5) selection of a stormwater quality management strategy. To demonstrate the application of the generic planning strategy, a stormwater quality management plan was developed for the Centennial Subwatershed (730 hectares) in the City of Scarborough, which is fully urbanized. Using the generic planning strategy, the recommended stormwater quality plan assumes (1) all the roads in poor condition will be retrofitted with stormwater exfiltration systems as they are reconstructed or rehabilitated; (2) an existing quantity pond will be retrofitted with a water quality function; (3) a new water quality pond will be constructed on a government-owned site; (4) 50% of the feasible residential areas will have downspouts disconnected; and (5) all the roads in the feasible commercial areas will be retrofitted with oil/grit separators. The average annual runoff volume reduction and solids loading reduction of this strategy were estimated to be about 9 and 30%, respectively, and the associated cost was about $1.2 million.