Suppr超能文献

量化人体相关粪便指标表明城市流域污水是密歇根湖的污染源之一。

Quantification of human-associated fecal indicators reveal sewage from urban watersheds as a source of pollution to Lake Michigan.

机构信息

School of Freshwater Sciences, UW-Milwaukee, 600 E. Greenfield Ave, Milwaukee, WI 53204, USA.

U.S. Geological Survey, 8505 Research Way, Middleton, WI 53562, USA.

出版信息

Water Res. 2016 Sep 1;100:556-567. doi: 10.1016/j.watres.2016.05.056. Epub 2016 May 19.

Abstract

Sewage contamination of urban waterways from sewer overflows and failing infrastructure is a major environmental and public health concern. Fecal coliforms (FC) are commonly employed as fecal indicator bacteria, but do not distinguish between human and non-human sources of fecal contamination. Human Bacteroides and human Lachnospiraceae, two genetic markers for human-associated indicator bacteria, were used to identify sewage signals in two urban rivers and the estuary that drains to Lake Michigan. Grab samples were collected from the rivers throughout 2012 and 2013 and hourly samples were collected in the estuary across the hydrograph during summer 2013. Human Bacteroides and human Lachnospiraceae were highly correlated with each other in river samples (Pearson's r = 0.86), with average concentrations at most sites elevated during wet weather. These human indicators were found during baseflow, indicating that sewage contamination is chronic in these waterways. FC are used for determining total maximum daily loads (TMDLs) in management plans; however, FC concentrations alone failed to prioritize river reaches with potential health risks. While 84% of samples with >1000 CFU/100 ml FC had sewage contamination, 52% of samples with moderate (200-1000 CFU/100 ml) and 46% of samples with low (<200 CFU/100 ml) FC levels also had evidence of human sewage. Load calculations in the in the Milwaukee estuary revealed storm-driven sewage contamination varied greatly among events and was highest during an event with a short duration of intense rain. This work demonstrates urban areas have unrecognized sewage inputs that may not be adequately prioritized for remediation by the TMDL process. Further analysis using these approaches could determine relationships between land use, storm characteristics, and other factors that drive sewage contamination in urban waterways.

摘要

城市水道的污水污染来自污水溢出和基础设施故障,这是一个主要的环境和公共卫生问题。粪大肠菌群(FC)通常用作粪便指示菌,但不能区分人类和非人类来源的粪便污染。人类拟杆菌和人类lachnospiraceae 是两种与人类相关的指示菌的遗传标记物,用于在两条城市河流和排水到密歇根湖的河口识别污水信号。2012 年和 2013 年全年从河流中采集了 grab 样本,2013 年夏季在整个水文过程中每小时在河口采集样本。在河流样本中,人类拟杆菌和人类lachnospiraceae 高度相关(皮尔逊 r=0.86),大多数地点的平均浓度在潮湿天气期间升高。这些人类指标是在基流期间发现的,这表明这些水道的污水污染是慢性的。FC 用于确定管理计划中的总最大日负荷(TMDL);然而,仅 FC 浓度未能优先考虑具有潜在健康风险的河流段。虽然 84%的 FC 浓度>1000 CFU/100 ml 的样本有污水污染,但 52%的 FC 浓度在 200-1000 CFU/100 ml 之间的样本和 46%的 FC 浓度<200 CFU/100 ml 的样本也有人类污水的证据。密尔沃基河口的负荷计算显示,暴雨驱动的污水污染在不同事件中差异很大,在暴雨持续时间短、强度大的事件中最高。这项工作表明,城市地区存在未被识别的污水输入,这些输入可能没有通过 TMDL 过程得到充分的优先考虑进行修复。进一步使用这些方法进行分析可以确定城市水道中污水污染与土地利用、风暴特征和其他驱动因素之间的关系。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验