Determination of Optimal Location and Capacity of Detention Facilities

Abstract

The importance of the effective distribution of runoff in sewer network throughout a detention facility has recently been recognized. This study aims to determine the location and the capacity of detention facilities in urban sewer network. The optimal location and capacity of the detention facilities can be determined by numerous iterations of an optimization model. In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine. A multi-objective genetic algorithm (MOGA) is adopted to minimize both the total overflow and the installing cost. The developed model is applied to S city in South Korea. The goal in prevention performance of urban disaster is used as rainfall. The model will help engineers find effective alternatives to achieve the goal of the urban disaster prevention performance.