Abstract
The increasing incidence of torrential rain and the increment of impervious area caused by urbanization has increased the surface flow and decreased the time of concentration. Therefore, the peak outflows and urban inundation risks are increased in urban areas, so that the sewer system must be designed to minimize the inundation risk in urban areas. In this reason, the suggested Optimal Sewer layout and Watershed division Model (OSWM) determines the optimal sewer layout and basin boundary considering minimum peak at outlet in the sewer network to reduce the urban inundation risk. The OSWM determines the optimal design considering peak outflow at outlet and rehabilitation cost of sewer network. Then, the peak outflow and rehabilitation cost are minimized, so that the urban inundation risk is decreased due to the peak outflow reduction. In this model, NSGA-II (Non-dominated Sorting Genetic Algorithm) which is one of the multi-objective optimal techniques was used to solve this multi-objective problem. The OSWM was applied to a multi-outlet urban area containing two sub-basins in Seoul, South Korea. According to the basin boundary and sewer networks determined from OSWM, the peak outflows at each sub-basin outlet were decreased by 26.6% for the design rainfall event of 10-year frequency.
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