College of Public Health, Temple University, Philadelphia, PA, USA.
US Department of Agriculture-US Geological Survey, Marshfield, WI, USA.
Sci Total Environ. 2018 Jul 15;630:967-976. doi: 10.1016/j.scitotenv.2018.02.108. Epub 2018 Mar 7.
Combined sewer overflows (CSOs) are a known source of human fecal pollution and human pathogens in urban water bodies, which may present a significant public health threat. To monitor human fecal contamination in water, bacterial fecal indicator organisms (FIOs) are traditionally used. However, because FIOs are not specific to human sources and do not correlate with human pathogens, alternative fecal indicators detected using qPCR are becoming of interest to policymakers. For this reason, this study measured correlations between the number and duration of CSOs and mm of rainfall, concentrations of traditional FIOs and alternative indicators, and the presence of human pathogens in two urban creeks. Samples were collected May-July 2016 and analyzed for concentrations of FIOs (total coliforms and E. coli) using membrane filtration as well as for three alternative fecal indicators (human Bacteroides HF183 marker, human polyomavirus (HPoV), pepper mild mottle virus (PMMoV)) and nine human pathogens using qPCR. Four of the nine pathogens analyzed were detected at these sites including adenovirus, Enterohemorrhagic E. coli, norovirus, and Salmonella. Among all indicators studied, human Bacteroides and total coliforms were significantly correlated with recent CSO and rainfall events, while E. coli, PMMoV, and HPoV did not show consistent significant correlations. Further, human Bacteroides were a more specific indicator, while total coliforms were a more sensitive indicator of CSO and rainfall events. Results may have implications for the use and interpretation of these indicators in future policy or monitoring programs.
合流制污水溢流(CSO)是城市水体中人类粪便污染和人类病原体的已知来源,这可能对公共健康构成重大威胁。为了监测水中的人类粪便污染,传统上使用细菌粪便指示生物(FIO)。然而,由于 FIO 不是人类来源特有的,也与人类病原体无关,因此使用 qPCR 检测到的替代粪便指标引起了政策制定者的关注。出于这个原因,本研究测量了 CSO 的数量和持续时间与降雨量、传统 FIO 和替代指标的浓度以及在两条城市小溪中人类病原体存在之间的相关性。样品于 2016 年 5 月至 7 月采集,并使用膜过滤法分析 FIO(总大肠菌群和大肠杆菌)的浓度,以及使用 qPCR 分析三种替代粪便指标(人类拟杆菌 HF183 标志物、人类多瘤病毒(HPoV)、辣椒轻斑驳病毒(PMMoV))和九种人类病原体的浓度。在所分析的九个病原体中,有四个在这些地点被检测到,包括腺病毒、肠出血性大肠杆菌、诺如病毒和沙门氏菌。在所研究的所有指标中,人类拟杆菌和总大肠菌群与最近的 CSO 和降雨事件显著相关,而大肠杆菌、PMMoV 和 HPoV 则没有显示出一致的显著相关性。此外,人类拟杆菌是一种更特异的指标,而总大肠菌群是 CSO 和降雨事件的更敏感指标。研究结果可能对未来政策或监测计划中这些指标的使用和解释具有重要意义。