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Investigation of water consumption patterns among Irish adults for waterborne quantitative microbial risk assessment (QMRA)

机译:调查爱尔兰成年人的饮水模式以进行水源性微生物定量风险评估(QMRA)

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摘要

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.
机译:饮用水供应中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,采用定量微生物风险评估(QMRA)来评估和管理其构成的风险。需要估计饮用水的消耗量或分布,以评估水生病原体暴露水平。为了确定爱尔兰人口的分布,我们从549个农村调查受访者那里收集了用水量数据。另有110名参与者完成了为期5天的用水日记。主要在农村居住的调查问卷受访者中的自来水平均每日消耗量为940 ml day〜(-1)(SD 670 ml day〜(-1))和1,186 ml day〜(-1)(SD 701 ml day〜 (-1))在主要是城市居住日记的受访者中。这两个均值均大大低于当前用于QRMA的2,000 ml日〜(-1)默认值;因此,使用它可能导致高估水载健康负担。由于观察到的城乡居民之间的每日消费差异在统计上是显着的,因此提倡对QMRA使用单独的消费分布。尽管男性报告的每日自来水消耗量高于女性,但这些差异并不明显,因此认为没有必要分开分配水量。对数正态分布为两个数据集中的每日自来水摄入量(ml天〜(-1))提供了最合适的拟合。

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