Through scientific analysis, this model provides a certain decision-making basis for rainwater control and control during flood disasters and provides certain security for regional sustainable development. Their design uses the predictive correction calculation method to calculate the node return flow and simulates and analyzes the flooding depth of different design rainstorm regression periods through the combined model. Wang Shuang ling, Zhang Wan shun, and Chen Fa jin established a combined model for analyzing and simulating the drainage capacity of coastal nuclear power plants during extreme rainfall. Therefore, the precisely rainwater control is a necessary condition to ensure the safe operation of the airport.
This research indicates that compared with the result of the drainage design under the initial value of the parameter, the green roof model and the conceptual model of the mesoscale sustainable drainage system, in the case of a hundred-year torrential rainstorm, the overflow rate of pipe network inspection wells has reduced by 36% to 67.5%, the efficiency of drainage has increased by 26.3% to 61.7%, which achieves the requirements for reasonable control of airport rainwater and building a sponge airport and a sustainable drainage system.Īs an important functional area of the city, this type of airport has the characteristics of a wide area, complex land and high flood control standards. Through the optimization adjustment of the pipe network parameters such as the diameter of the rainwater pipe network, the slope of the pipeline, and the green infrastructure (GI) parameters such as the sinking green area and the green roof area, reasonable control of airport rainfall and the construction of sustainable drainage systems can be achieved. This system is to be combined with the newly built rainwater pipe control optimization design project of China International Airport in Daxing District of Beijing, China. These problems are caused by low precision parameter design in various rainwater control measures such as the diameter of the rainwater pipe network and the green roof area ratio. To address the problems of high overflow rate of pipe network inspection well and low drainage efficiency, a rainwater control optimization design approach based on a self-organizing feature map neural network model (SOFM) was proposed in this paper.
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