Dresden University of Technology, Institute for Urban Water Management, 01062 Dresden, Germany.
Water Res. 2011 May;45(10):3129-36. doi: 10.1016/j.watres.2011.03.022. Epub 2011 Mar 21.
The management of sewer systems requires information about discharge and variability of typical wastewater sources in urban catchments. Especially the infiltration of groundwater and the inflow of surface water (I/I) are important for making decisions about the rehabilitation and operation of sewer networks. This paper presents a methodology to identify I/I and estimate its quantity. For each flow fraction in sewer networks, an individual model approach is formulated whose parameters are optimised by the method of least squares. This method was applied to estimate the contributions to the wastewater flow in the sewer system of the City of Dresden (Germany), where data availability is good. Absolute flows of I/I and their temporal variations are estimated. Further information on the characteristics of infiltration is gained by clustering and grouping sewer pipes according to the attributes construction year and groundwater influence and relating these resulting classes to infiltration behaviour. Further, it is shown that condition classes based on CCTV-data can be used to estimate the infiltration potential of sewer pipes.
污水系统的管理需要有关城市集水区中典型废水来源排放和变异性的信息。特别是地下水的渗透和地表水的流入（I/I）对于决定污水管网的修复和运行非常重要。本文提出了一种识别 I/I 并估算其数量的方法。对于污水管网中的每个流量部分，都制定了一个单独的模型方法，其参数通过最小二乘法进行优化。该方法应用于估算德国德累斯顿市污水系统中废水流量的贡献，该地区的数据可用性良好。估计了 I/I 的绝对流量及其时间变化。通过根据属性（例如施工年份和地下水影响）对污水管道进行聚类和分组，并将这些结果类与渗透行为相关联，进一步获得了有关渗透特征的信息。此外，还表明可以使用基于闭路电视（CCTV）数据的条件类别来估算污水管的渗透潜力。
