Maul A, el-Shaarawi A H, Block J C
Sci Total Environ. 1985 Sep;44(3):215-24. doi: 10.1016/0048-9697(85)90095-6.
In this paper, which is a continuation of the work presented in Part I in this issue, previous information on the spatial and temporal variability of bacteriological data from a water distribution system is used to develop a sampling design for use in future water quality monitoring. The water distribution system is considered to be composed of several zones where the variation of bacterial counts in each zone is modelled by the negative binomial distribution. Under the assumption that the objective of monitoring is to determine whether or not the mean bacterial density of the water exceeds a specific standard, a criterion is given which determines the optimal number of sampling stations allocated to each zone. These stations are determined by assuming that either the risk of sampling (i.e. making the wrong decision) is prespecified or that the total number of stations to be sampled is predetermined. Sequential sampling to evaluate the compliance of the water with the standard is also discussed.
本文是本期第一部分所介绍工作的延续,利用先前关于供水系统细菌学数据时空变异性的信息,制定用于未来水质监测的抽样设计。供水系统被视为由几个区域组成,每个区域的细菌计数变化通过负二项分布建模。在监测目标是确定水中细菌平均密度是否超过特定标准的假设下,给出了一个准则,该准则确定分配给每个区域的最佳采样站数量。这些采样站是通过假设要么预先指定采样风险(即做出错误决策),要么预先确定要采样的站总数来确定的。还讨论了用于评估水是否符合标准的序贯抽样。