The catchment scale assessment of sewer defect conditions based on physical or flow inspection method is usually very labour-intensive and even hard to perform. Therefore, a novel cost-effective method to locate groundwater infiltration into the sewers and accordingly assess the sewer network defect severity was presented, using chemical markers monitoring at pipe manholes and a geographical information system that integrates sewer network and discharged destinations of sewage sources. With acesulfame as the marker of sanitary sewage, the spatial groundwater infiltration into the sewers was investigated within the 14.4km2 catchment served by a wastewater treatment plant in Chaohu City, Anhui Province. Based on that, the locations of serious sewer network defect were also identified. The quantified groundwater infiltration into the sewers using marker monitoring was comparable to the data from the catchment water flow balance and measured groundwater inflow of one typical sewer segment, with a relative error of 21.0% and 5.4% respectively. This indicated the developed method was reliable. It was found that one sewer segment covering only 0.3%of the total sewer length even contributed to 23.0% of the total infiltrated groundwater within the area. From this perspective, the repair of local serious sewer defect would obviously lower the defect grade of the whole sewer network. The basic principle to perform this method was finally suggested.%提出基于管网检查井水质特征因子监测，并结合管网和污染源地理信息系统，解析污水管段的地下水入渗量和破损程度，以解决逐段物探或流量检测成本高且难以实施的问题.采用安赛蜜作为生活污水的水质特征因子，对安徽省巢湖市某污水厂服务范围(14.4km2)的污水管网系统地下水入渗量进行了空间分布解析，并识别出管网严重破损位置.结果表明：①基于划分管网节点的分段地下水入渗量解析，其总的入渗量解析结果与基于总体水量平衡的解析结果相对误差为21.0%，与典型管段流量监测结果的相对误差为5.4%，表明建立的方法是可靠的；②占污水管网总长0.3%的局部管段，其地下水入渗量占到总入渗水量的23.0%.因此，对局部破损管段进行修复，可以显著降低整个管网系统的破损程度.据此还提出了应用该方法的基本原则.
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