The effect of sewage source on HF183 risk-based threshold estimation for recreational water quality management

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Kyle Curtis , Michael Jahne , David Keeling , Raul Gonzalez
{"title":"The effect of sewage source on HF183 risk-based threshold estimation for recreational water quality management","authors":"Kyle Curtis ,&nbsp;Michael Jahne ,&nbsp;David Keeling ,&nbsp;Raul Gonzalez","doi":"10.1016/j.mran.2024.100315","DOIUrl":null,"url":null,"abstract":"<div><p>Host-associated fecal indicator measurements can be coupled with quantitative microbial risk assessment to develop risk-based thresholds for recreational use of potential sewage-contaminated waters. These assessments require information on the relative concentrations of indicators and pathogens in discharged sewage, typically based on data collected from wastewater treatment plant influent samples. However, most untreated sewage releases occur from within the collection system itself (i.e. compromised sewer laterals, compromised gravity and force mains, sanitary sewer overflows), where these relationships may differ. This study therefore analyzed the concentrations of a selected reference pathogen (norovirus) and fecal indicator (HF183) in sewage samples from upper and lower segments of gravity sewage collection systems, wastewater pumpstations, and the influent and effluent of treatment plants, to characterize variability in their relative concentrations. Norovirus detection rates were lower and more variable in upper collection system samples due to the smaller population represented; whereas, HF183 was routinely detected at all sites with higher concentrations in the collection system compared to treatment plant influent, resulting in variable comparative relationships across sample locations (types). Mean HF183:NoV ratios ranged from 1.0 × 10<sup>5</sup> for sewer lateral samples to 7 × 10° for force main samples. Results were used to develop risk-based thresholds for HF183 based on estimated recreational exposure to norovirus following a release from each potential sewage source, with higher thresholds for treatment facility influent compared to forced mains, or effluent. Consequently, this approach can allow for the rapid application of potential risk-based thresholds for recreational water quality applications based on different types of sewage discharge events.</p></div>","PeriodicalId":48593,"journal":{"name":"Microbial Risk Analysis","volume":"27 ","pages":"Article 100315"},"PeriodicalIF":3.0000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352352224000264/pdfft?md5=17093a2ed80eab4a8ccc55aff2792662&pid=1-s2.0-S2352352224000264-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Risk Analysis","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352352224000264","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Host-associated fecal indicator measurements can be coupled with quantitative microbial risk assessment to develop risk-based thresholds for recreational use of potential sewage-contaminated waters. These assessments require information on the relative concentrations of indicators and pathogens in discharged sewage, typically based on data collected from wastewater treatment plant influent samples. However, most untreated sewage releases occur from within the collection system itself (i.e. compromised sewer laterals, compromised gravity and force mains, sanitary sewer overflows), where these relationships may differ. This study therefore analyzed the concentrations of a selected reference pathogen (norovirus) and fecal indicator (HF183) in sewage samples from upper and lower segments of gravity sewage collection systems, wastewater pumpstations, and the influent and effluent of treatment plants, to characterize variability in their relative concentrations. Norovirus detection rates were lower and more variable in upper collection system samples due to the smaller population represented; whereas, HF183 was routinely detected at all sites with higher concentrations in the collection system compared to treatment plant influent, resulting in variable comparative relationships across sample locations (types). Mean HF183:NoV ratios ranged from 1.0 × 105 for sewer lateral samples to 7 × 10° for force main samples. Results were used to develop risk-based thresholds for HF183 based on estimated recreational exposure to norovirus following a release from each potential sewage source, with higher thresholds for treatment facility influent compared to forced mains, or effluent. Consequently, this approach can allow for the rapid application of potential risk-based thresholds for recreational water quality applications based on different types of sewage discharge events.

Abstract Image

污水源对基于 HF183 风险阈值的休闲水质管理估计的影响
与宿主相关的粪便指标测量可与定量微生物风险评估相结合,以制定基于风险的潜在污水污染水域娱乐使用阈值。这些评估需要有关排放污水中指标和病原体相对浓度的信息,这些信息通常基于从污水处理厂进水样本中收集的数据。然而,大多数未经处理的污水排放都发生在收集系统本身(即受损的下水道侧管、受损的重力和强制总管、卫生下水道溢流)中,这些关系可能有所不同。因此,本研究分析了重力污水收集系统上下段、污水泵站、污水处理厂进水和出水的污水样本中选定的参考病原体(诺如病毒)和粪便指标(HF183)的浓度,以确定其相对浓度的变化特征。由于所代表的人群较小,上层收集系统样本中诺罗病毒的检出率较低且变化较大;而所有地点都能常规检测到 HF183,与污水处理厂进水相比,收集系统中的浓度较高,这导致不同样本地点(类型)之间的比较关系各不相同。平均 HF183:NoV 比率从污水横向样本的 1.0 × 105 到输水管样本的 7 × 10° 不等。研究结果被用于制定基于风险的 HF183 阈值,该阈值是根据每个潜在污水源释放诺如病毒后估计的娱乐接触量计算的,处理设施进水的阈值高于强制主管道或污水。因此,这种方法可以根据不同类型的污水排放事件,快速应用基于风险的潜在阈值,用于娱乐水质应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信