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信用案例:构建二级生物废水处理中固体物质分配和病毒去除的机理模型。

The case for credit: toward a mechanistic model of solids partitioning and virus removal for secondary biological wastewater treatment.

作者信息

Wang Phillip, Hill Tyler, Morrison Christina, Black Andrew, Crank Katherine, Mull Bonnie, Batista Jacimaria, Gerrity Daniel

机构信息

Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.

Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA; University of Nevada Las Vegas, Department of Civil and Environmental Engineering and Construction, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA; Black & Veatch, 8965 S. Eastern Ave. #325, Las Vegas, NV 89123, USA.

出版信息

Water Res. 2025 Sep 1;283:123857. doi: 10.1016/j.watres.2025.123857. Epub 2025 May 17.

Abstract

Regulatory frameworks for potable reuse often include stringent log reduction value (LRV) targets for viruses and protozoa. To reliably protect public health while also considering the sustainability of advanced water treatment, it is critically important to accurately and rapidly assess pathogen removal and avoid under-crediting of any unit process in a potable reuse treatment train. This study systematically evaluates secondary biological wastewater treatment across solids retention times (SRTs) ranging from 2 to 20 days and uses culture and molecular methods to characterize attenuation of 12 viruses, including fecal indicators, surrogate bacteriophages, and enteric pathogens. This study also proposes a mechanistic model for physical removal based on a solids partitioning/adsorption framework incorporating mixed liquor suspended solids (MLSS) concentrations. Mean sample-specific partitioning coefficients (K) ranged from 2.1 log mL/g for cucumber green mottle mosaic virus (CGMMV) to 3.8 log mL/g for phiX174. K values were strongly correlated with LRVs, although the resulting adsorption models (sample-specific, linear, and Freundlich) could not fully explain the large variability in virus removal across all conditions. LRVs of 1-3 were observed for all viruses, but the 5 percentile LRVs that drive regulatory determinations were often <0.5. This study proposes several approaches for awarding implicit LRVs of ≥1 using quantitative microbial risk assessment (QMRA) coupled with observed secondary treatment performance or secondary effluent concentrations.

摘要

饮用水再利用的监管框架通常包括针对病毒和原生动物的严格对数去除值(LRV)目标。为了在可靠保护公众健康的同时,还考虑到先进水处理的可持续性,准确、快速地评估病原体去除情况,并避免低估饮用水再利用处理流程中任何单元工艺的效果至关重要。本研究系统评估了固体停留时间(SRT)从2天到20天的二级生物废水处理,并使用培养和分子方法来表征12种病毒的衰减情况,包括粪便指示菌、替代噬菌体和肠道病原体。本研究还基于包含混合液悬浮固体(MLSS)浓度的固体分配/吸附框架,提出了一种物理去除的机理模型。平均样品特异性分配系数(K)范围从黄瓜绿斑驳花叶病毒(CGMMV)的2.1 log mL/g到phiX174的3.8 log mL/g。K值与LRV密切相关,尽管所得的吸附模型(样品特异性、线性和弗伦德利希模型)无法完全解释所有条件下病毒去除的巨大变异性。所有病毒的LRV均为1 - 3,但驱动监管判定的第5百分位数LRV通常<0.5。本研究提出了几种方法,通过定量微生物风险评估(QMRA)结合观察到的二级处理性能或二级出水浓度,授予≥1的隐含LRV。

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