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Direct Potable Reuse Microbial Risk Assessment Methodology: Sensitivity Analysis and Application to State Log Credit Allocations

机译:直接饮用水再利用微生物风险评估方法:敏感性分析及其在国家原木信用分配中的应用

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摘要

Understanding pathogen risks is a critically important consideration in the design of water treatment, particularly for potable reuse projects. As an extension to our published microbial risk assessment methodology to estimate infection risks associated with Direct Potable Reuse (DPR) treatment train unit process combinations, herein, we (1) provide an updated compilation of pathogen density data in raw wastewater and dose-response models; (2) conduct a series of sensitivity analyses to consider potential risk implications using updated data; (3) evaluate the risks associated with log credit allocations in the United States; and (4) identify reference pathogen reductions needed to consistently meet currently applied benchmark risk levels. Sensitivity analyses illustrated changes in cumulative annual risks estimates, the significance of which depends on the pathogen group driving the risk for a given treatment train. For example, updates to norovirus (NoV) raw wastewater values and use of a NoV dose-response approach, capturing the full range of uncertainty, increased risks associated with one of the treatment trains evaluated, but not the other. Additionally, compared to traditional log-credit allocation approaches, our results indicate that the risk methodology provides more nuanced information about how consistently public health benchmarks are achieved. Our results indicate that viruses need to be reduced by 14 logs or more to consistently achieve currently applied benchmark levels of protection associated with DPR. The refined methodology, updated model inputs, and log credit allocation comparisons will be useful to regulators considering DPR projects and design engineers as they consider which unit treatment processes should be employed for particular projects.
机译:在水处理设计中,尤其是对于饮用水回用项目,了解病原体风险是至关重要的考虑因素。作为我们已发布的微生物风险评估方法的扩展,以估计与直接饮用重复使用(DPR)处理培训单元工艺组合相关的感染风险,在本文中,我们(1)提供了原始废水和剂量反应模型中病原体密度数据的更新汇编; (2)进行一系列敏感性分析,以使用更新的数据来考虑潜在的风险影响; (3)评估与美国原木信用分配相关的风险; (4)确定减少参考病原体的数量,以持续满足当前应用的基准风险水平。敏感性分析说明了年度累积风险估算的变化,其重要性取决于病原体组驱动给定治疗方案的风险。例如,更新诺如病毒(NoV)的原废水值并使用NoV剂量反应方法,捕获了所有不确定性,增加了与其中一种评估方法相关的风险,而另一种则没有。此外,与传统的对数信用分配方法相比,我们的结果表明,该风险方法论提供了关于如何一致地实现公共卫生基准的更多细微差别的信息。我们的结果表明,病毒需要减少14个对数或更多,才能始终达到与DPR相关的当前应用基准保护水平。完善的方法,更新的模型输入和对数信用分配比较将对考虑DPR项目的监管机构和设计工程师有用,因为他们在考虑特定项目应采用哪种单元处理过程时。

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