University of North Carolina at Chapel Hill, Institute of Marine Sciences, 3431 Arendell St, Morehead City, NC 28557, USA.
Water Res. 2011 Oct 15;45(16):5229-40. doi: 10.1016/j.watres.2011.07.029. Epub 2011 Jul 29.
Fecal contamination in stormwater is often complex. Because conventional fecal indicator bacteria (FIB) cannot be used to ascertain source of fecal contamination, alternative indicators are being explored to partition these sources. As they are assessed for future use, it is critical to compare alternative indicators to conventional FIB under a range of stormwater delivery conditions. In this study, conventional FIB and fecal Bacteroides spp. were monitored throughout the duration of five storm events from coastal stormwater outfalls in Dare County, North Carolina, USA to characterize relationships among FIB concentrations, alternative fecal markers, and loading of contaminants. Water samples were collected multiple times during each storm and analyzed for Enterococcus sp. and Escherichia coli using enzymatic tests and fecal Bacteroides spp. by QPCR. Both conventional FIB and fecal Bacteroides spp. concentrations in stormwater were generally high and extremely variable over the course of the storm events. Over the very short distances between sites, we observed statistically significant spatial and temporal variability, indicating that stormwater monitoring based on single grab-samples is inappropriate. Loading of FIB and fecal Bacteroides spp. appeared to be affected differently by various hydrologic factors. Specifically, Spearman correlations between fecal Bacteroides spp. and drainage area and antecedent rainfall were lower than those between conventional FIB and these hydrologic factors. Furthermore, the patterns of fecal Bacteroides spp. concentrations generally increased over the duration of the storms, whereas E. coli and Enterococcus sp. concentrations generally followed the patterns of the hydrograph, peaking early and tailing off. Given the greater source-specificity and limited persistence of fecal Bacteroides spp. in oxygenated environments, differences in these patterns suggest multiple delivery modes of fecal contamination (i.e. landscape scouring versus groundwater discharge).
雨水的粪便污染通常很复杂。由于传统的粪便指示菌(FIB)不能用于确定粪便污染的来源,因此正在探索替代指标来划分这些来源。在未来的使用中,对替代指标进行评估时,在一系列雨水输送条件下,将替代指标与传统 FIB 进行比较至关重要。在这项研究中,从美国北卡罗来纳州达勒县沿海雨水排放口监测了整个五个雨水事件过程中的传统 FIB 和粪便拟杆菌 spp.,以表征 FIB 浓度、替代粪便标志物与污染物负荷之间的关系。在每个风暴期间多次采集水样,并使用酶测试分析肠球菌属和大肠杆菌,使用 QPCR 分析粪便拟杆菌属。在整个风暴事件过程中,雨水的传统 FIB 和粪便拟杆菌属浓度通常都很高且变化非常大。在站点之间非常短的距离内,我们观察到了具有统计学意义的空间和时间变异性,这表明基于单个抓取样本的雨水监测是不合适的。FIB 和粪便拟杆菌属的负荷似乎受到各种水文因素的不同影响。具体来说,粪便拟杆菌属与排水面积和前期降雨之间的 Spearman 相关性低于传统 FIB 与这些水文因素之间的相关性。此外,粪便拟杆菌属浓度的模式通常随着风暴的持续而增加,而大肠杆菌和肠球菌属浓度通常遵循水文学图的模式,早期达到峰值并逐渐减少。鉴于粪便拟杆菌属在充氧环境中的特异性更强且持久性有限,这些模式的差异表明粪便污染的多种输送模式(即景观冲刷与地下水排放)。