Abstract
How to reduce the construction cost while increasing the reduction rate of combined sewer overflow (CSO) control system has been widely concerned by the planning & decision makers. In this study, the multi-objective optimization model of CSO system construction cost and CSO reduction rate was established by using Matlab, Python and SWMM. A series of Pareto solution sets were obtained using non-dominant sorting genetic algorithm (NSGA-Ⅱ), so different options were put forward to planning decision makers. For the 3-year storm events, the optimization results showed that the proportion of the construction cost was highest for constructing source low impact development (LID) facilities, followed by constructing the detention tanks and retrofitting the midway pipes. Among the three types of facilities, the contribution of the CSO reduction rate of the detention tanks was the highest, followed by the source LID facilities and the midway pipes.
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