Environ Monit Assess. 2014 Jan;186(1):277-91. doi: 10.1007/s10661-013-3373-2.
Escherichia coli can persist in streambed sediments and influence water quality monitoring programs through their resuspension into overlying waters. This study examined the spatial patterns in E. coli concentration and population structure within streambed morphological features during baseflow and following stormflow to inform sampling strategies for representative characterization of E. coli populations within a stream reach. E. coli concentrations in bed sediments were significantly different (p = 0.002) among monitoring sites during baseflow, and significant interactive effects (p = 0.002) occurred among monitoring sites and morphological features following stormflow. Least absolute shrinkage and selection operator (LASSO) regression revealed that water velocity and effective particle size (D 10) explained E. coli concentration during baseflow, whereas sediment organic carbon, water velocity and median particle diameter (D 50) were important explanatory variables following stormflow. Principle Coordinate Analysis illustrated the site-scale differences in sediment E. coli populations between disconnected stream segments. Also, E. coli populations were similar among depositional features within a reach, but differed in relation to high velocity features (e.g., riffles). Canonical correspondence analysis resolved that E. coli population structure was primarily explained by spatial (26.9–31.7 %) over environmental variables (9.2–13.1 %). Spatial autocorrelation existed among monitoring sites and morphological features for both sampling events, and gradients in mean particle diameter and water velocity influenced E. coli population structure for the baseflow and stormflow sampling events, respectively. Representative characterization of streambed E. coli requires sampling of depositional and high velocity environments to accommodate strain selectivity among these features owing to sediment and water velocity heterogeneity.
大肠杆菌可以在河床沉积物中存活,并通过重新悬浮到上覆水中影响水质监测计划。本研究考察了基础流和暴流后河床形态特征内大肠杆菌浓度和种群结构的空间模式,为代表描述溪流范围内大肠杆菌种群提供采样策略。基础流期间,床沉积物中的大肠杆菌浓度在监测点之间存在显著差异(p=0.002),暴流后监测点和形态特征之间存在显著的交互效应(p=0.002)。最小绝对值收缩和选择算子(LASSO)回归表明,水速和有效粒径(D10)解释了基础流期间的大肠杆菌浓度,而暴流后,沉积物有机碳、水速和中值粒径(D50)是重要的解释变量。主坐标分析说明了不同无连接溪流段之间床沉积物中大肠杆菌种群的站点尺度差异。此外,在一个流域内的沉积特征中,大肠杆菌种群相似,但与高速特征(例如,急流)不同。典范对应分析表明,大肠杆菌种群结构主要由空间变量(26.9-31.7%)解释,而环境变量(9.2-13.1%)解释程度较小。对于两个采样事件,监测点和形态特征之间存在空间自相关,平均粒径和水速梯度分别影响基础流和暴流采样事件的大肠杆菌种群结构。为了适应这些特征中由于沉积物和水速异质性导致的菌株选择性,需要对沉积和高速环境进行采样,以代表河床大肠杆菌的特征。