Efficient management of sewer blockages requires increased preventive maintenance planning. Conventional approaches to the management of blockages in sewer pipe networks constitute largely unplanned maintenance stemming from a lack of adequate information and diagnosis of blockage causative mechanisms. This study mainly investigated a spatial statistical approach to determine the influence of explanatory factors on increased blockage propensity in sewers based on spatial heterogeneity. The approach consisted of the network K-function analysis, which provided an understanding of the significance of the spatial variation of blockages. A geographically-weighted Poisson regression then showed the degree of influence that explanatory factors had on increased blockage propensity in differentiated segments of the sewer pipe network. Lastly, blockage recurrence predictions were carried out with Random Forest ensembles. This approach was applied to three municipalities. Explanatory factors such as material type, number of service connections, self-cleaning velocity, sagging pipes, root intrusion risk, closed-circuit television inspection grade and distance to restaurants showed significant spatial heterogeneity and varying impacts on blockage propensity. The Random Forest ensemble predicted blockage recurrence with 60–80% accuracy for data from two municipalities and below 50% for the last. This approach provides knowledge that supports proactive maintenance planning in the management of blockages in sewer pipe networks.

有效的下水道堵塞管理要求增加预防性维护计划。由于缺乏足够的信息和对堵塞原因的诊断，对污水管网中堵塞进行管理的常规方法在很大程度上构成了计划外的维护工作。这项研究主要研究一种空间统计方法，以确定基于空间异质性的解释性因素对下水道堵塞倾向增加的影响。该方法包括网络K函数分析，该分析提供了对障碍物空间变化重要性的理解。然后，通过地理加权的Poisson回归显示了解释因素对下水道管网不同部分中堵塞倾向增加的影响程度。最后，随机森林乐团进行了阻塞复发的预测。该方法已应用于三个城市。解释性因素，例如材料类型，服务连接数，自清洁速度，管道下垂，根部侵入风险，闭路电视检查等级和与餐厅的距离，均显示出明显的空间异质性，并且对阻塞倾向的影响各不相同。随机森林系综预测两个城市的数据以60-80％的准确率预测阻塞再次发生，而最后一个城市的预测低于50％。这种方法提供的知识可在污水管网堵塞管理中支持主动维护计划。服务连接的数量，自清洁速度，管道垂度，根部侵入风险，闭路电视检查等级和与餐厅的距离均显示出显着的空间异质性，并且对堵塞倾向的影响也各不相同。随机森林系综预测两个城市的数据以60-80％的准确率预测阻塞再次发生，而最后一个城市的预测低于50％。这种方法提供的知识可在污水管网堵塞管理中支持主动维护计划。服务连接的数量，自清洁速度，管道垂度，根部侵入风险，闭路电视检查等级和与餐厅的距离均显示出显着的空间异质性，并且对堵塞倾向的影响也各不相同。随机森林系综预测两个城市的数据以60-80％的准确率预测阻塞再次发生，而最后一个城市的预测低于50％。这种方法提供的知识可在污水管网堵塞管理中支持主动维护计划。随机森林系综预测两个城市的数据以60-80％的准确率预测阻塞再次发生，而最后一个城市的预测低于50％。这种方法提供的知识可在污水管网堵塞管理中支持主动维护计划。随机森林系综预测两个城市的数据以60-80％的准确率预测阻塞再次发生，而最后一个城市的预测低于50％。这种方法提供的知识可在污水管网堵塞管理中支持主动维护计划。