首页> 外文会议>Water Environment Federation 72nd annual conference amp; exposition (WEFTEC'99) >DETERMINATION OF SURVIVAL RATES FOR SELECTED BACTERIAL AND PROTOZOAN PATHOGENS FROM WET WEATHER DISCHARGES
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DETERMINATION OF SURVIVAL RATES FOR SELECTED BACTERIAL AND PROTOZOAN PATHOGENS FROM WET WEATHER DISCHARGES

机译:湿天候排放中选定的细菌和原生动物病原体的存活率测定

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摘要

Pathogenic organisms found in sewage can adversely impact public health when thernsewage is discharged to waters that humans come in contact with through wading,rnswimming, fishing, drinking, etc. UAB is conducting research to develop a riskrnassessment methodology for evaluating varying degrees of risk related to humanrncontact with pathogenic microorganisms found in sewage contaminated waters,rnespecially those caused by separate sanitary sewer overflows (SSOs). Onerncomponent of this research is to study the fate and transport of these microorganismsrnin the environment. The survivability, or die-off, rates for these organisms is critical tornunderstanding their fate in the environment, e.g., from an SSO discharge through arnreceiving water.rnSince there are a multitude of factors that contribute to microorganism survivability,rnthe use of an in-situ method to characterize the rates of growth and death isrnnecessary to account for variable environmental conditions. Hence, thesernexperiments were conducted using a specially designed in-situ chamber.rnThis research was shown to be useful in obtaining survivability data based on thernactual conditions present in an SSO polluted stream, and when combined withrnhydrologic data, can be used to predict the fate of pathogens downstream from arnpoint source discharge of sanitary sewage. The information from these experimentsrncan be used to construct a fitted-curve, which can then be used to determine a rate ofrndecay for input into the computer model.rnThe results of this research could be applied to the construction of a fate andrntransport model, which could then be used by a community to target remediationrnefforts to those discharge points of highest public health concern. A model, tailored torna particular community, could be built, which would allow one to rank SSO dischargernpoints from those of highest to lowest health risk. Therefore, use of this methodologyrnwould allow municipalities to apply their limited funds to the repair of dischargesrncreating the greatest health risk first.
机译:当污水通过涉水,游泳,钓鱼,喝水等排放到与人接触的水中时,污水中发现的致病生物会对公共健康产生不利影响。UAB正在进行研究以开发一种风险评估方法,用于评估与人与污水污染的水中发现的病原微生物接触,尤其是由单独的下水道溢水(SSO)引起的病原微生物。这项研究的主要内容是研究这些微生物在环境中的命运和运输。这些生物的存活率或死亡率对于了解它们在环境中的命运至关重要,例如从通过吸收水来的SSO排放中。rn由于存在多种因素会影响微生物的生存能力,因此使用原位分析法表征生长和死亡的速率是解决可变环境条件所必需的。因此,这些实验是使用专门设计的原位腔室进行的。该研究表明,该方法可根据SSO污染流中的实际状况来获得生存力数据,并且与水文数据结合后,可用于预测油田的命运。病原体下游的病原体排放卫生污水。这些实验的信息可以用于构建拟合曲线,然后可以用来确定输入计算机模型的衰减率。这项研究的结果可以应用于命运和运输模型的构建,从而可以然后由社区用于将补救措施针对那些最引起公众健康关注的排放点。可以建立一种针对特定人群的量身定制的模型,该模型将使人们能够将SSO排放点从最高健康风险降到最低健康风险。因此,使用这种方法将允许市政当局将其有限的资金用于排泄物的修复,从而首先造成最大的健康风险。

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