Department of Civil and Environmental Engineering, University of Waterloo, 200 University Ave. W. Waterloo, Ontario, N2L 3G1, Canada.
Department of Civil and Environmental Engineering, University of Waterloo, 200 University Ave. W. Waterloo, Ontario, N2L 3G1, Canada.
Water Res. 2019 Jun 15;157:356-364. doi: 10.1016/j.watres.2019.03.057. Epub 2019 Mar 26.
Enteric viruses pose the greatest acute human health risks associated with subsurface drinking water supplies, yet quantitative risk assessment tools have rarely been used to develop health-based targets for virus treatment in drinking water sourced from these supplies. Such efforts have previously been hampered by a lack of consensus concerning a suitable viral reference pathogen and dose-response model as well as difficulties in quantifying pathogenic viruses in water. A reverse quantitative microbial risk assessment (QMRA) framework and quantitative polymerase chain reaction data for norovirus genogroup I in subsurface drinking water supplies were used herein to evaluate treatment needs for such water supplies. Norovirus was not detected in over 90% of samples, which emphasizes the need to consider the spatially and/or temporally intermittent patterns of enteric pathogen contamination in subsurface water supplies. Collectively, this analysis reinforces existing recommendations that a minimum 4-log treatment goal is needed for enteric viruses in groundwater in absence of well-specific monitoring information. This result is sensitive to the virus dose-response model used as there is approximately a 3-log discrepancy among virus dose-response models in the existing literature. This emphasizes the need to address the uncertainties and lack of consensus related to various QMRA modelling approaches and the analytical limitations that preclude more accurate description of virus risks.
肠病毒对与地下饮用水供应有关的人类健康构成最大的急性风险,但很少有定量风险评估工具被用于针对这些供应源的饮用水制定基于健康的病毒处理目标。以前,由于缺乏关于合适的病毒参考病原体和剂量反应模型的共识,以及在水中定量检测致病性病毒的困难,这些工作受到了阻碍。本文使用反向定量微生物风险评估 (QMRA) 框架和地下饮用水中诺如病毒基因组 I 的定量聚合酶链反应数据来评估此类供水的处理需求。超过 90%的样本中未检测到诺如病毒,这强调了需要考虑地下水中肠道病原体污染的空间和/或时间间歇性模式。总的来说,这项分析加强了现有建议,即在没有特定水井监测信息的情况下,地下水需要至少进行 4 对数的病毒处理,才能达到处理效果。该结果对使用的病毒剂量反应模型很敏感,因为现有文献中的病毒剂量反应模型之间存在大约 3 对数的差异。这强调了需要解决与各种 QMRA 建模方法相关的不确定性和缺乏共识,以及排除更准确描述病毒风险的分析限制。