A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model

Abstract

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. 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. 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. 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 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.

[Retracted] Effective Strategies to Promote the Cultivation of Public Legal Consciousness from the Perspective of Social Psychology

“…Law popularization education should pay attention to the update of relevant legal knowledge and content and pay attention to the organic combination with real life. By learning law popularization education, we can solve the practical legal problems and make the public aware of the close connection between law and life, so as to improve their legal awareness, as shown in Figure 13 [ 24 ].…”

“…Law popularization education should pay attention to the update of relevant legal knowledge and content and pay attention to the organic combination with real life. By learning law popularization education, we can solve the practical legal problems and make the public aware of the close connection between law and life, so as to improve their legal awareness, as shown in Figure 13 [24]. In view of the lack of legal awareness-related training courses in the current innovation and entrepreneurship education curriculum system, colleges and universities should correctly understand the relationship between legal awareness and entrepreneurial behavior, think from the perspective of students and comprehensively think about the legal problems that students may face in the practice of innovation and entrepreneurship.…”

Analysis of drainage efficiency under extreme precipitation events based on numerical simulation

“…In the second stage, rainwater discharges through both pipes and roads when the drainage efficiency gradually decreases. In the third stage, the drainage pipe flow tends to be saturated, and rainwater mainly discharges through road flooding (Qiu et al, 2020). Hence, several evaluation parameters, such as RI 95% and RI 50% , were proposed to delineate the critical state of the drainage system during rainfall: (i) RI95% was the rainfall intensity when the road started to accumulate water; (ii) RI 50% was the rainfall intensity when the flow rate of road flooding was equal to that of the pipes, and the pipe drainage efficiency was 0.5.…”

“…In the second stage, rainwater discharges through both pipes and roads when the drainage efficiency gradually decreases. In the third stage, the drainage pipe flow tends to be saturated, and rainwater mainly discharges through road flooding (Qiu et al, 2020). Hence, several…”

Key Information Extraction Algorithm of Different Types of Digital Archives for Cultural Operation and Management

“…The two layers are connected, and sometimes neurons in the competing layer are also connected by edge inhibition [ 23 ]. There are two kinds of connection weights in the network, one is the connection weights of neurons responding to external inputs, and the other is the connection weights between neurons, whose size controls the size of interactions between neurons [ 24 , 25 ].…”