Optimize the real-time operation strategy of urban reservoirs in order to reduce flooding

Abstract

Flood disaster has always been the key direction of urban governance and the real-time optimization of urban drainage system has become an important solution. At present, the control of gates in urban flood control system is dominated by rule-based control (RBC), while the research on real-time optimization control (RTC) based on gate opening is relatively few. This paper develops a real-time reservoir optimization model (RTROM) to solve the problem of urban flash flood control. The gate opening was discretized at an interval of 0.1 m as a decision variable, and the differential evolution algorithm (DE) was used to calculate the objective function of this study to obtain the optimal control strategy describing the operation of urban flood control system. The model was tested in the Jingdian Lake area in Fuzhou, China. The results show that in practice, the model can reduce the upstream flood flow by 48.2 m³/s, but also increase the discharge flow after a delay of 17 h. Jingdian Lake can store up to 126,000 m³ of floodwater, and the storage capacity utilization rate has reached 68.5%. It shows that RTROM can maximize the effect of regional lake flood control. More importantly, it effectively lowered the water level of the downstream Qintin Lake by 0.53 m, reducing the flood risk faced by the Qintin Lake. Compared with rule-based control (RBC) model, RTROM is more effective in reducing urban flooding and can provide optimal operation strategies for the real-time operation of urban drainage systems.

Keywords

Real-time reservoir optimization model (RTROM) / Reservoir / Urban flood, Real-time operation / Storm water management model (SWMM)

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Funding

2021YFC3001405

2019QNRC001

WR0145B012020