制定美国直接饮用水再利用的病原体对数减少值目标

Daniel Gerrity, Katherine Crank, Eva Steinle-Darling, Brian M. Pecson
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引用次数: 0

摘要

为了应对日益增长的需求和气候不确定性,社区现在正转向饮用水再利用,以增加其供水组合。更广泛实施的一个障碍是在一些地方缺乏直接饮用水再利用(DPR)的法规。对现有DPR框架基础的不完全理解可能是造成这一障碍的原因。本研究的目的是使用公开可用的定量微生物风险评估(QMRA)工具DPRisk来解释加州现有的间接饮用水再利用法规、加州的DPR法规草案以及专家小组对这些法规草案的回应背后的依据。然后,利用文献中强大的原始废水病原体数据集,DPRisk用于证明两种替代方案的合理性:一种基于最大模拟病原体浓度,另一种基于97.4百分位浓度。后者代表了寻求“未经处理的废水”(即加利福尼亚州)和“经处理的污水”(即德克萨斯州)方法之间等效性的努力。使用合理的QMRA假设,确定病毒、贾第鞭毛虫和隐孢子虫的基线对数减少值(LRV)目标为15/11/11(最大值)或13/10/10(97.4%)。此外,与增加基线LRV以说明未检测到的处理过程故障不同,偏离规范条件的容差(例如,3-12最多3个日志 每年的天数)进行表征。有了这些基础知识,利益相关者可以更好地理解和采用这些框架,或者使用DPRisk来建立一个新的框架,更好地解决他们的独特限制,包括对首选治疗模式以及资本和运营成本的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Establishing pathogen log reduction value targets for direct potable reuse in the United States

Establishing pathogen log reduction value targets for direct potable reuse in the United States

Communities are now turning to potable reuse to augment their water supply portfolios in response to increasing demand and climate uncertainty. One barrier to broader implementation is a lack of regulations for direct potable reuse (DPR) in some locations. An incomplete understanding of the foundation of existing DPR frameworks may be contributing to this barrier. The objective of this study was to use a publicly available quantitative microbial risk assessment (QMRA) tool—DPRisk—to explain the basis behind California's existing indirect potable reuse regulations, California's draft DPR regulations, and an Expert Panel's response to those draft regulations. Then, leveraging a robust raw wastewater pathogen dataset from the literature, DPRisk was used to justify two alternatives: one based on maximum simulated pathogen concentrations and the other based on 97.4th percentile concentrations. The latter represents an effort to seek equivalency between “raw wastewater” (i.e., California) and “treated effluent” (i.e., Texas) approaches. Using justified QMRA assumptions, the baseline log reduction value (LRV) targets were determined to be 15/11/11 (maximum) or 13/10/10 (97.4th percentile) for viruses, Giardia, and Cryptosporidium. Additionally, instead of augmenting the baseline LRVs to account for undetected treatment process failures, tolerances for off-specification conditions (e.g., up to 3 logs for 3–12 days per year) were characterized. With this foundational knowledge, stakeholders can better understand and adopt these frameworks or use DPRisk to establish a new framework that better addresses their unique constraints, including considerations for preferred treatment paradigms and capital and operational costs.

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