Smith Tamara, Krometis Leigh-Anne H, Hagedorn Charles, Lawrence Annie H, Benham Brian, Ling Erin, Ziegler Peter, Marmagas Susan West
Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA E-mail:
Department of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
J Water Health. 2014 Dec;12(4):824-34. doi: 10.2166/wh.2014.026.
Over 1.7 million Virginians rely on private water sources to provide household water. The heaviest reliance on these systems occurs in rural areas, which are often underserved with respect to available financial resources and access to environmental health education. This study aimed to identify potential associations between concentrations of fecal indicator bacteria (FIB) (coliforms, Escherichia coli) in over 800 samples collected at the point-of-use from homes with private water supply systems and homeowner-provided demographic data (household income and education). Of the 828 samples tested, 349 (42%) of samples tested positive for total coliform and 55 (6.6%) tested positive for E. coli. Source tracking efforts targeting optical brightener concentrations via fluorometry and the presence of a human-specific Bacteroides marker via quantitative real-time polymerase chain reaction (qPCR) suggest possible contamination from human septage in over 20 samples. Statistical methods implied that household income has an association with the proportion of samples positive for total coliform, though the relationship between education level and FIB is less clear. Further exploration of links between demographic data and private water quality will be helpful in building effective strategies to improve rural drinking water quality.
超过170万弗吉尼亚人依靠私人水源提供家庭用水。对这些系统依赖程度最高的是农村地区,这些地区在可用财政资源和获得环境卫生教育方面往往服务不足。本研究旨在确定从拥有私人供水系统的家庭使用点采集的800多个样本中粪便指示菌(FIB)(大肠菌群、大肠杆菌)浓度与房主提供的人口统计数据(家庭收入和教育程度)之间的潜在关联。在测试的828个样本中,349个(42%)样本的总大肠菌群检测呈阳性,55个(6.6%)样本的大肠杆菌检测呈阳性。通过荧光法针对荧光增白剂浓度以及通过定量实时聚合酶链反应(qPCR)检测人类特异性拟杆菌标记物进行的溯源工作表明,20多个样本可能受到人类污水的污染。统计方法表明,家庭收入与总大肠菌群阳性样本的比例有关,尽管教育水平与FIB之间的关系不太明确。进一步探索人口统计数据与私人水质之间的联系将有助于制定有效的策略来改善农村饮用水质量。