Environmental Engineering Research Group, School of Engineering, University of Dublin, Trinity College, Dublin, Ireland.
J Water Health. 2012 Sep;10(3):453-64. doi: 10.2166/wh.2012.025.
Microbial and chemical contamination of drinking water supplies can cause human health problems. Microbial pathogens are of primary concern and quantitative microbial risk assessment (QMRA) is employed to assess and manage the risks they pose. Estimates of drinking water consumption, or distributions, are required to assess levels of waterborne pathogen exposure. To establish distributions for the Irish population, water consumption data were collected from 549 rural survey respondents. A further 110 participants completed a five-day water consumption diary. Average daily consumption of tap-water among the primarily rural-dwelling questionnaire respondents was 940 ml day(-1) (SD 670 ml day(-1)) and 1,186 ml day(-1) (SD 701 ml day(-1)) among the principally urban-dwelling diary respondents. Both mean figures are significantly less than the 2,000 ml day(-1) default figure currently used for QRMA; therefore its use may lead to overestimation of the waterborne health burden. As the observed daily consumption difference between rural and urban residents is statistically significant, use of separate consumption distributions for QMRA is advocated. Although males reported higher daily tap-water consumption rates than females, these differences were insignificant, so separate consumption distributions are not considered necessary. A log-normal distribution provides the most adequate fit for daily tap-water intake (ml day(-1)) within both datasets.
饮用水供应的微生物和化学污染会导致人类健康问题。微生物病原体是首要关注的问题,定量微生物风险评估 (QMRA) 用于评估和管理它们所带来的风险。需要估计饮用水的消耗量或分布,以评估水传播病原体暴露的水平。为了确定爱尔兰人口的分布情况,从 549 名农村调查受访者那里收集了用水数据。另有 110 名参与者完成了为期五天的用水日记。主要居住在农村的问卷受访者的自来水日均消耗量为 940 毫升/天(标准差 670 毫升/天),主要居住在城市的日记受访者的自来水日均消耗量为 1186 毫升/天(标准差 701 毫升/天)。这两个平均值都明显低于目前用于 QMRA 的 2000 毫升/天的默认值;因此,它的使用可能会导致对水传播健康负担的高估。由于农村和城市居民的日常消费差异具有统计学意义,因此提倡为 QMRA 使用单独的消费分布。尽管男性报告的自来水日均消耗量高于女性,但这些差异并不显著,因此不需要单独的消费分布。对数正态分布为两个数据集内的自来水日均摄入量(毫升/天)提供了最合适的拟合度。