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首页> 外文会议>2011 water quality technology conference amp; exposition: An Oasis of Ideas for a Changing Environment. >Predicting Inactivation of Bacillus spores and E. coli when Introduced into aWater Distribution System with Growth Medium
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Predicting Inactivation of Bacillus spores and E. coli when Introduced into aWater Distribution System with Growth Medium

机译：引入带有生长培养基的水分配系统时，可预测芽孢杆菌和大肠杆菌的失活

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The potential for pathogen intrusion into distribution systems is well known and can result fromrnpipe break and repair activities, accidental cross connections, negative pressure events, orrnintentional contamination. In any of these scenarios, it is possible that a complex mixture ofrnorganics and one or more pathogens could be introduced into the pipe network. Typically,rnpathogen inactivation data is generated from laboratory studies using a single purified pathogenrnin organic-free water. This data alone is not enough to predict inactivation under real worldrnconditions or to estimate pathogen concentrations and disinfectant residuals over time. Underrnreal world conditions, for example, the organics in the mixture might exert a chlorine demandrnresulting in reduced inactivation of the pathogen, or, the presence of an organic food sourcernmight encourage pathogen growth. In order to better understand the possible distribution systemrndynamics of a pathogen mixture intrusion scenario, a series of laboratory studies werernundertaken to quantify the inactivation of two microorganisms (as surrogates for pathogens), E.rncoli bacteria and B. globigii spores, in the presence of an organic mixture. A mathematicalrnmodel describing growth and inactivation of pathogens, loss of free chlorine, and oxidation andrnutilization of dissolved organic matter was developed based on the laboratory observations, andrnwas simulated using the open-source software, EPANET-MSX. Data from these experimentsrnand from the research literature were used to estimate parameters for the model. A discussion ofrnmodel calibration and validation is presented, as well as preliminary results of network scalernsimulations. Ultimately, this model will be useful for systems-scale studies of water distributionrnnetworks and microbial risk assessment.
机译：病原体侵入分配系统的可能性是众所周知的，并且可能是由于管道破裂和维修活动，意外的交叉连接，负压事件，故意的污染引起的。在任何这些情况下，有机物和一种或多种病原体的复杂混合物都可能引入到管网中。通常，致病原失活数据是使用单一纯化的不含有机物的病原体从实验室研究中获得的。仅凭这些数据不足以预测实际条件下的灭活效果，也不足以估计病原体的浓度和消毒剂随时间的残留量。例如，在现实世界的条件下，混合物中的有机物可能会产生氯需求，从而导致病原体的失活减少，或者有机食品来源的存在可能会促进病原体的生长。为了更好地了解病原体混合物入侵场景的可能的分布系统动力学，进行了一系列实验室研究，以定量分析在以下条件下，两种微生物（作为病原体的替代物），即大肠杆菌和球孢双歧杆菌的灭活情况。有机混合物。基于实验室观察，建立了描述病原体生长和灭活，游离氯损失，氧化和溶解有机物利用的数学模型，并使用开源软件EPANET-MSX进行了仿真。这些实验和研究文献中的数据被用来估计模型的参数。讨论了模型校准和验证，以及网络规模仿真的初步结果。最终，该模型将对系统规模的供水网络和微生物风险评估研究有用。

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