结果来自一项研究，该研究检查了病原体和病毒的时间变化 2003年4月和5月印度一个流域风暴事件期间的指标数字 加拿大安大略省西南部。收集水样，检测总大肠菌群和粪便 大肠菌群、大肠杆菌、大肠杆菌O157:H7和弯曲杆菌样本 当时未对隐孢子虫属和贾第虫属进行分析；然而 随后，对这两种原生动物的风暴事件样本进行了收集和分析。事件 样本是从格兰德河一个密集养殖的次级流域内采集的 河 所有样本的总大肠菌群、粪便大肠菌群和大肠杆菌均呈阳性。 在降水过程中，大肠菌群指标迅速上升到峰值 从它们的基线浓度来看，也观察到了它们数量的拖尾 正如所料，在一个事件之后。大肠菌群的峰值浓度更高 大于取样事件基线浓度的3个数量级。 在任何事件样本中均未检测到大肠杆菌O157:H7。弯曲杆菌属 在其中一个事件开始时在水样中观察到；然而 随着事件的进展，弯曲杆菌下降到无法检测到的水平。使用 经Spearman秩相关检验，大肠杆菌与大肠杆菌呈显著正相关 浊度（R_s=0.89）。虽然大肠杆菌起源于粪便，但它们是 广泛存在于环境中，因此很少被完全清除 降水事件。 为了预测指示菌和潜在致病菌的水平 河流中的微生物，现有的流域尺度水文模型， WATFLOOD/SPL在病原体的命运和从点和非点的运输方面得到了增强 消息来源。病原体模型将运输视为地表水流的结果， 流向排水系统的地下水流，以及河道内的水流。模型结果为 在估计大肠杆菌浓度方面可靠（数量级）。然而 对于在高致病性环境中分布较少的病原微生物 由于来源有限，需要在估算实际环境负荷方面进行更多研究。 饮用水处理厂必须能够处理峰值 病原体的浓度。关于基线水平和峰值浓度的信息 应提供令人担忧的主要病原体，以确保处理厂的设计稳健。 这项研究为潜在病原体的时间波动提供了更多的见解 到达处理厂取水口的浓度。包括25个参考文献、图表。

Results are presented from a study examining the temporal changes in pathogen and indicator numbers during storm events in April and May of 2003 in a watershed in Southwestern Ontario, Canada. Water samples were collected for total coliforms, fecal coliforms, Escherichia coli, Escherichia coli O157:H7, and Campylobacter spp. Samples were not analyzed for Cryptosporidium spp. and Giardia spp. at that time; however, subsequent storm event samples were collected and analyzed for the two protozoa. Event samples were collected from within an intensely farmed subwatershed of the Grand River. All samples were positive for total coliforms, fecal coliforms and Escherichia coli. During precipitation events, coliform indicators increased to peak numbers very rapidly from their baseline concentrations, and a tailing of their numbers was also observed following an event, as expected. Peak concentrations of coliform bacteria were more than 3 orders of magnitude greater than baseline concentrations for the events sampled. E. coli O157:H7 was not detected in any event samples. Campylobacter spp. was observed in water samples at the beginning of one of the events; however, the numbers of Campylobacter spp. dropped off to undetectable levels as the event progressed. Using the Spearman rank correlation test, a positive correlation was observed between E. coli and turbidity (R_s=0.89). Although E. coli bacteria originate in fecal matter, they are widespread in the environment and are therefore rarely flushed out completely following a precipitation event. In order to predict the levels of indicator bacteria and potentially pathogenic microorganisms in a stream, an existing watershed-scale hydrologic model, WATFLOOD/SPL, was augmented for pathogen fate and transport from point and nonpoint sources. The pathogen model considers transport as a result of overland flow, subsurface flow to tile drainage systems, as well as in-stream routing. Model results were reliable in estimating E. coli concentrations (at an order-of-magnitude level). However, for pathogenic microorganisms which are less widespread in the environment with highly localized sources, more research in estimating actual environmental loadings is needed. It is essential that drinking water treatment plants be capable of handling peak concentrations of pathogens. Information on baseline levels and peak concentrations of major pathogens of concern should be available to ensure robust treatment plant design. This study offers additional insight into temporal fluctuations of potential pathogen concentrations arriving at a treatment plant intake. Includes 25 references, figures.