• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.40 no.2
• /
• pp.145-156
• /
• 2020

The climate change occurring all over the world increases the risk, specially in urban area, Accordingly, rainwater pumping station expansion is required than before. In order to increase the efficiency of the rainwater pumping station, the analysis of flow characteristics in the pump sump is needed for vortex control. Many efforts have been made to illuminate the vortex behavior using PIV, but any reliable results have not been obtained yet, because of the limitations in image capturing and dependency of measured velocity values on the interrogation area and time interval used for velocity calculation. In this study, therefore, experiments were carried out to find out the limitation of PIV and estimate the validation of the velocity values associated with the analysis parameters such as interrogation area, time interval, grid size. For the experimental condition used in this study, the limitation of PIV and the effects of parameters on the velocity estimation are presented.

• Convergence Security Journal
• /
• v.20 no.1
• /
• pp.33-40
• /
• 2020

The rainwater pumping station located near a river prevents river overflow and flood damages by operating several pumps according to the appropriate rules against the reservoir. At the present time, almost all of rainwater pumping stations employ pumping policies based on the simple rules depending only on the water level of reservoir. The ongoing climate change caused by global warming makes it increasingly difficult to predict the amount of rainfall. Therefore, it is difficult to cope with changes in the water level of reservoirs through the simple pumping policy. In this paper, we propose a pump operating method based on deep reinforcement learning which has the ability to select the appropriate number of operating pumps to keep the reservoir to the proper water level using the information of the amount of rainfall, the water volume and current water level of the reservoir. In order to evaluate the performance of the proposed method, the simulations are performed using Storm Water Management Model(SWMM), a dynamic rainfall-runoff-routing simulation model, and the performance of the method is compared with that of a pumping policy being in use in the field.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.257-266
• /
• 2021

Urban areas can often suffer flood damage because of the more frequent catastrophic rainfall events from climate change. Flood mitigation measures consist of (1) structural and (2) non-structural measures. In this study, the proposed method focused on operating an urban drainage system among non-structural measures. The combined inland-river operation technique estimates the inflow of pump stations based on the water level obtained from a preselected monitoring point, and the pump station expels the stored rainwater to the riverside based on those estimates. In this study, the proposed method was applied to the Mokgam drainage watershed, where catastrophic rainfall events occurred (i.e., 2010- and 2011-years), and severe flood damage was recorded in Seoul. Using the proposed method, the efficiency of flood reduction from the two rainfall events was reduced by 34.9 % and 54.4 %, respectively, compared to the current operation method. Thus, the proposed method can minimize the flood damage in the Mokgam drainage watershed by reserving the additional storage space of a reservoir. In addition, flooding from catastrophic rainfall can be prevented, and citizens' lives and property in urban areas can be protected.