虽然《安全饮用水法》的重新授权尚待完成，但许多水务公司正在准备监测和监管影响水质的配水系统成分的水平。最常见的情况是，公用事业公司关心的是平均浓度，而不是追踪特定成分的路径。数学和计算机模型可以快速估计平均浓度，在这方面可以发挥重要作用。大多数水质模型主要处理孤立事件，例如通过配水系统追踪特定成分。本文提出了一个简单的时间平均模型，可以获得整个网络中的平均、最大和最小成分浓度和年龄。它还计算流量贡献百分比和成分浓度百分比。用两个配水系统对模型进行了说明，并将结果与用动态水质模型得到的结果进行了比较。 两个模型预测的平均水质参数没有显著偏差；时间平均法是动态模型的一种简单有效的替代方法。包括11个参考文献、表格、图表。

While reauthorization of the Safe Drinking Water Act is pending, many water utilities are preparing to monitor and regulate levels of distribution system constituents that affect water quality. Most frequently, utilities are concerned about average concentrations rather than about tracing a particular constituent's path. Mathematical and computer models, which provide a quick estimate of average concentrations, could play an important role in this effort. Most water quality models deal primarily with isolated events, such as tracing a particular constituent through a distribution system. This article proposes a simple, time average model that obtains average, maximum, and minimum constituent concentrations and ages throughout the network. It also computes percentage flow contribution and percentage constituent concentration. The model is illustrated using two water distribution systems, and results are compared with those obtained using a dynamic water quality model. Both models predict average water quality parameters with no significant deviations; the time-averaging approach is a simple and efficient alternative to the dynamic model. Includes 11 references, tables, figures.