A Dynamic Classification Model for Seismic Monitoring Stations' Placement Optimization in Urban Water Distribution Network

Abstract

To solve the problem of optimal layout of seismic monitoring stations in a water supply network, a sample attribute matrix was built through the concept of coefficient influence. A dynamic classification model for optimizing seismic monitoring stations placement in water distribution network was proposed combined with dynamic classification method (DT). The iterative calculation process for the dynamic classification model was also offered. Firstly, the hydraulic simulation model for leaky pipe network caused by earthquake was established based on node pressure method. The flow values of each pipe under different working conditions were calculated by hydraulic simulation model and EPANET software, and then the flow influence coefficient matrix was built. Secondly, the dynamic classification method was introduced for optimizing the grading of all the pipes, and the key earthquake monitoring stations were selected for optimal layout combined with the actual situation. Finally, a sample network was calculated by the model and its relevant calculation programs. And the analysis results show that the classification of pipes in the water supply network is reasonable and scientific, and seismic monitoring stations distribute uniformly in the water supply network. Furthermore, the model can wear off anthropogenic impact to a certain extent, and enhance monitoring effect in earthquake and economics of the network building.