Christian R R, Pipes W O
Appl Environ Microbiol. 1983 Feb;45(2):603-9. doi: 10.1128/aem.45.2.603-609.1983.
Nine small water distribution systems were sampled intensively to determine the patterns of dispersion of coliforms. The frequency distributions of confirmed coliform counts were compatible with either the negative-binomial or the lognormal distribution. They were not compatible with either the Poisson or Poisson-plus-added zeroes distribution. The implications of the use of the lognormal distributional model were further evaluated because of its previous use in water quality studies. The geometric means from 14 data sets ranged from 10(-6) to 0.2 coliforms per 100 ml, and the geometric standard deviations were between 10 and 100, with one exception. If the lognormal model is representative of the coliform distribution; the arithmetic mean sample count is a poor estimator of the true mean coliform density, and the probability of water in a distribution system containing small patches with large coliform densities without detection by routine monitoring is finite. These conclusions have direct bearing on the interpretation of microbiological quality standards for drinking water.
对九个小型配水系统进行了密集采样,以确定大肠菌群的分散模式。确认的大肠菌群计数的频率分布与负二项分布或对数正态分布均相符。它们与泊松分布或泊松加零分布均不相符。由于对数正态分布模型先前已用于水质研究,因此对其使用的影响进行了进一步评估。14个数据集的几何平均值范围为每100毫升10^(-6)至0.2个大肠菌群,几何标准差在10至100之间,只有一个例外。如果对数正态模型代表大肠菌群分布;算术平均样本计数是对真实平均大肠菌群密度的一个较差估计值,并且在配水系统中存在大肠菌群密度高的小区域而未被常规监测检测到的水的概率是有限的。这些结论直接关系到饮用水微生物质量标准的解释。