Numerical Analysis and Location of Sewer Network Damage Based on Groundwater Infiltration Inversion

Abstract:

Pipe damages will lead to the infiltration of groundwater into sewer systems， which seriously affect the efficiency of urban sewage treatment in areas where the groundwater level is higher than the buried depth of the pipeline. Cities with busy traffic and high-rise buildings make it difficult to dig damaged pipes. In addition， the physical detection method is very labor-intensive and even hard to perform. Therefore， in areas with high groundwater level， a particle swarm optimization methodology in conjunction with hydraulic model computation and water level monitoring was proposed to identify sewer defect. The method was demonstrated in the sewer system of a certain city. The damage points were determined by quantified groundwater infiltration flow based on water level monitoring and flow calculation， with a relative error less than 5%. Meanwhile， the influence of the monitoring points on the optimization model was discussed. 60% of the total nodes was selected as the optimal number， and the location precision rate and location recall rate are 75% and 94%， respectively.

Key words:sewer network;pipe damage;groundwater infiltration;optimization algorithm