ABSTRACT
ABSTRACT: Improving the capacity of urban drainage system to accommodate intensive rainfall is one of the effective measures to mitigate the flood risk. In recent years, integration of urban rainfall-runoff simulation into an optimization model for urban drainage planning and design has become an attractive idea but the related studies are still rarely reported. This study proposed a generic heuristic optimization aided framework for urban drainage sizing. An optimization model was formulated to minimize the construction cost whilst limiting flood risk under an acceptable level, where the size (e.g., width and depth) of conduits are decision variables. The genetic algorithm was employed to seek the optimal solution. A typical urban catchment in Singapore was selected for demonstration. The results showed that the proposed method could effectively determine the optimum size for drainage design. Future studies were desired to improve the optimization model more practically.
