Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States.

Isolating the impact of septic systems on fecal pollution in streams of suburban watersheds in Georgia, United States.
复制标题

隔离化粪池系统对美国佐治亚州郊区流域溪流粪便污染的影响。

DOI:
10.1016/j.watres.2016.11.007
复制
发表时间:
2017
期刊:
影响因子:
12.8
通讯作者:
M. Risse
M. Risse
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
R. Sowah;M. Habteselassie;D. Radcliffe;E. Bauske;M. Risse

文献摘要

参考文献

被引文献

相似文献

在流域一级存在多种粪便污染源,这对旨在确定化粪池系统影响的努力提出了挑战。在这项研究中,采用了多种方法,包括针对性采样和监测宿主特异性拟杆菌标记物,以确定化粪池系统对微生物水质的影响。在3年的时间里,对24个流域的水质进行了监测,这些流域的化粪池密度为8至373个化粪池单位/平方公里。采用定量聚合酶链反应对人类相关的HF183标记物以及总拟杆菌和反刍拟杆菌的水平进行定量。与低密度地区相比,高密度流域人类相关的拟杆菌产量显著高于低密度地区,并且与春季化粪池系统到溪流的平均距离呈负相关(r= - 0.64)。人类标记物也与总拟杆菌标记物呈正相关,表明人类源输入是研究区总粪便污染的重要贡献者。多变量回归分析表明,化粪池系统、森林覆盖、不透水面积和比电导可以解释春季人类粪便污染变化的74%。结果表明,化粪池系统通过在基流或失败的化粪池系统输入期间对地下水补给的贡献而产生影响,特别是在化粪池单元/km2为100 ~ 87的地区。本研究支持使用微生物源跟踪方法以及传统的粪便指示细菌监测和土地利用特征,以分层方法分离化粪池系统对混合用途流域水质的影响。
The presence of multiple sources of fecal pollution at the watershed level presents challenges to efforts aimed at identifying the influence of septic systems. In this study multiple approaches including targeted sampling and monitoring of host-specificBacteroidalesmarkers were used to identify the impact of septic systems on microbial water quality. Twenty four watersheds with septic density ranging from 8 to 373 septic units/km2were monitored for water quality under baseflow conditions over a 3-year period. The levels of the human-associated HF183 marker, as well as total and ruminantBacteroidales, were quantified using quantitative polymerase chain reaction. Human-associatedBacteroidalesyield was significantly higher in high density watersheds compared to low density areas and was negatively correlated (r= −0.64) with the average distance of septic systems to streams in the spring season. The human marker was also positively correlated with the totalBacteroidalesmarker, suggesting that the human source input was a significant contributor to total fecal pollution in the study area. Multivariable regression analysis indicates that septic systems, along with forest cover, impervious area and specific conductance could explain up to 74% of the variation in human fecal pollution in the spring season. The results suggest septic system impact through contributions to groundwater recharge during baseflow or failing septic system input, especially in areas with >87 septic units/km2. This study supports the use of microbial source tracking approaches along with traditional fecal indicator bacteria monitoring and land use characterization in a tiered approach to isolate the influence of septic systems on water quality in mixed-use watersheds.
DOI: 10.1016/j.watres.2011.04.049
发表时间: 2011-08-01
期刊: WATER RESEARCH
影响因子: 12.8
作者:
Sauer, Elizabeth P.;VandeWalle, Jessica L.;McLellan, Sandra L.
通讯作者: McLellan, Sandra L.