基于地下水入渗反演解析的污水管网破损数值化定位

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

摘要:

地下水位高于管道埋深的地区，污水管道破损会导致大量地下水入渗，严重影响城市污水治理效能。高密度城市交通繁忙、高楼林立，难以开挖查找破损管道；物理探测方法操作复杂，价格不菲，难以推广。污水管网破损摸排成为制约城市污水治理的瓶颈问题。为此，利用粒子群算法，建立了高地下水位地区污水管道破损寻优定位模型，通过管网水力学模型和关键检查井水位监测信息，开发了城市污水管网破损的数值化定位技术。该技术方法在某城市污水管网进行了实例验证，结果表明基于检查井水位对地下水入渗流量进行解析，可确定破损点位，相对误差小于5%。在此基础上，进一步探究了监测点数量对破损点寻优定位精度的影响，结果表明只需监测60%的节点，寻优定位的查准率和查全率分别可达到75%和94%。

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.