Determination of Optimal Locations and Size of Storage in the Urban Sub-Surface using Genetic Algorithm

Recently, the danger of flooding has increased due to the result of extreme climate change and urbanization around the metropolitan areas. To prevent this kind of problems, installing underground retaining facility around the metropolitan basin has been discussed. Even though the several researches related to the underground retaining facility are on progress, the general consideration of the capacity and the location is unsatisfying. Therefore, this research has developed an optimal model which would help to decide an adequate capacity and location according to the numbers of the facilities that need to be installed. For this optimal technique, genetic algorithm is utilized, and SWMM(Storm Water Management Model) 5.0 DLL is constructed accordingly for the better interpretation of hydraulic, hydrological. The model has been simulated in Sungnae district in Seoul, and it has determined the adequate capacity and the location according to the different numbers of the facilities which need to be installed. Furthermore, by adapting various situations of exceeding rainfall, it has also analyzed the method of reducing inundation while installing the underground retaining facilities.