NSERC Industrial Chair on Drinking Water, Department of Geological, Mining and Civil Engineering, École Polytechnique de Montréal, Montréal, QC, Canada.
Canada Research Chair in Source Water Protection, Civil, Geological and Mining Engineering, École Polytechnique de Montréal, Montréal, QC, Canada.
Water Res. 2014 Jul 1;58:50-61. doi: 10.1016/j.watres.2014.03.057. Epub 2014 Mar 31.
In highly urbanized areas, surface water and groundwater are particularly vulnerable to sewer exfiltration. In this study, as an alternative to Microbial Source Tracking (MST) methods, we propose a new method combining microbial and chemical fecal indicators (Escherichia coli (E. coli)) and wastewater micropollutants (WWMPs) analysis both in water and sediment samples and under different meteorological conditions. To illustrate the use of this method, wastewater exfiltration and subsequent infiltration were identified and quantified by a three-year field study in an urban canal. The gradients of concentrations observed suggest that several sources of fecal contamination of varying intensity may be present along the canal, including feces from resident animal populations, contaminated surface run-off along the banks and under bridge crossings, release from contaminated banks, entrainment of contaminated sediments, and most importantly sewage exfiltration. Calculated exfiltration-infiltration volumes varied between 0.6 and 15.7 m(3)/d per kilometer during dry weather, and between 1.1 and 19.5 m(3)/d per kilometer during wet weather. WWMPs were mainly diluted and degraded below detection limits in water. E. coli remains the best exfiltration indicator given a large volume of dilution and a high abundance in the wastewater source. WWMPs are effective for detecting cumulated contamination in sediments from a small volume source and are particularly important because E. coli on its own does not allow source tracking.
在高度城市化地区,地表水和地下水特别容易受到污水渗漏的影响。在这项研究中,我们提出了一种替代微生物源追踪 (MST) 方法的新方法,该方法结合了微生物和化学粪便指标(大肠杆菌 (E. coli))以及污水微量污染物 (WWMPs) 分析,在不同的气象条件下,对水样和沉积物样本进行分析。为了说明该方法的应用,我们通过一项为期三年的城市运河现场研究,确定并量化了污水渗漏及其随后的渗透。观察到的浓度梯度表明,沿运河可能存在几种不同强度的粪便污染来源,包括居民动物种群的粪便、沿河岸和桥涵下的污染地表水径流、受污染河岸的排放、污染沉积物的夹带,以及最重要的污水渗漏。在旱季,每公里的渗漏-渗透体积计算值在 0.6 至 15.7 立方米/天之间变化,在雨季则在 1.1 至 19.5 立方米/天之间变化。WWMPs 在水中主要被稀释和降解到检测限以下。考虑到大量稀释和污水源中大量存在,大肠杆菌仍然是最佳的渗漏指示物。WWMPs 可有效检测来自小体积源的沉积物中累积的污染,特别是因为仅凭大肠杆菌本身无法进行源追踪。