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Inclusion of Physical-Chemical Water Quality Measurements Can Improve Associations between SARS-CoV-2 RNA Levels in Wastewater and COVID-19 Cases within Smaller Sewersheds. 纳入物理化学水质测量可以改善污水中SARS-CoV-2 RNA水平与小型下水道内COVID-19病例之间的关联。
IF 1.6 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2025-09-01 Epub Date: 2025-07-03 DOI: 10.1061/joeedu.eeeng-8138
Erik D Lamm, Kristina M Babler, Mark E Sharkey, Ayaaz Amirali, Cynthia Beaver, Melinda M Boone, Samuel Comerford, Daniel Cooper, Benjamin Currall, George S Grills, Erin Kobetz, Naresh Kumar, Jennifer Laine, Walter E Lamar, Jiangnan Lyu, Althea Kennedy, Stefan Perritano, Christopher E Mason, Brian D Reding, Matthew Roca, Stephan C Schürer, Bhavarth Shukla, Natasha Schaefer Solle, John J Tallon, Collette Thomas, Braden Tierney, Belkis Torres, Sreeharsha Venkatapuram, Dusica Vidovic, Sion L Williams, Xue Yin, Yalda Zarnegarnia, Helena M Solo-Gabriele

Measurements of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater can be used to understand the prevalence of COVID-19 cases within a community. Environmental conditions inclusive of physical-chemical water quality characteristics are known to impact wastewater SARS-CoV-2 signals, but they are rarely measured within the sewer infrastructure in areas upstream of wastewater treatment plants (WWTPs). The objectives of this study were to report on measurements of environmental parameters [flow and physical-chemical water quality (water temperature, pH, specific conductivity, dissolved oxygen, and turbidity)] upstream of a WWTP and to evaluate whether the inclusion of these environmental parameters improves correlations between SARS-CoV-2 RNA levels in wastewater, and COVID-19 prevalence in the sewershed community. Measurements of environmental parameters and SARS-CoV-2 RNA in wastewater spanned different time scales (minutes, hours and weeks) and population scales (building, campus, community). For short time scales, water quality parameters did not improve correlations between SARS-CoV-2 in wastewater and COVID-19 prevalence due to high variability of water quality and flows within the sewer system. When averaging data over weekly time scales, regressions showed that inclusion of pH improved correlations between RNA and COVID-19 prevalence. At the cluster scale, for the entire data set, the root mean square error decreased from 6.9 cases per week to 6.5 cases per week. At the community scale benefits were observed only for the delta wave with a decrease in root mean square error from 539 cases per week to 430 cases per week. The inclusion of pH improved correlations between wastewater SARS-CoV-2 and COVID-19 prevalence more frequently when evaluating the cluster sewershed scale (populations of a few thousand) in comparison to the community scale (populations of several 100,000). Given the simplicity of measuring pH and other physical-chemical water quality parameters, their inclusion should be considered as part of wastewater-based epidemiology programs.

测量废水中的严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)可用于了解社区内COVID-19病例的流行情况。众所周知,包括物理-化学水质特征在内的环境条件会影响废水中的SARS-CoV-2信号,但很少在污水处理厂(WWTPs)上游地区的下水道基础设施中进行测量。本研究的目的是报告污水处理厂上游环境参数[流量和物理化学水质(水温、pH值、比电导率、溶解氧和浊度)]的测量结果,并评估纳入这些环境参数是否能改善废水中SARS-CoV-2 RNA水平与下水道社区中COVID-19流行率之间的相关性。环境参数和废水中SARS-CoV-2 RNA的测量跨越了不同的时间尺度(分钟、小时和周)和人群尺度(建筑物、校园、社区)。在短时间尺度上,水质参数并没有改善废水中SARS-CoV-2与COVID-19流行率之间的相关性,这是由于水质和下水道系统内流量的高度可变性。当对每周时间尺度的数据进行平均时,回归显示,纳入pH值改善了RNA与COVID-19流行率之间的相关性。在聚类尺度上,对于整个数据集,均方根误差从6.9例/周下降到6.5例/周。在社区规模上,仅观察到δ波的益处,其均方根误差从每周539例减少到每周430例。与社区规模(10万人)相比,在评估集群下水道规模(几千人)时,纳入pH值可以更频繁地改善废水中SARS-CoV-2和COVID-19流行率之间的相关性。考虑到测量pH值和其他物理化学水质参数的简单性,应考虑将其纳入基于废水的流行病学计划。
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引用次数: 0
Treatment of Landfill Nanofiltration Concentrated Leachate by Flocculation Combined with a Multistage Ozone/Bioreactor Based on a Field Scale 基于现场规模的絮凝法结合多级臭氧/生物反应器处理垃圾填埋场纳滤浓缩渗滤液
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7468
Qing Wang, Yanjuan He
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Anaerobic Treatment of Real Dye Wastewater Using a Modified Internal Circulation Reactor 利用改良型内循环反应器厌氧处理真正的染料废水
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7436
Karan Parmar, Bhaumik R. Shah, J. Ruparelia, U. Patel
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Effect of Increasing Discharge on Municipal Storm Sewer Systems: Exploring the Connection to Total Maximum Daily Load 增加排放对市政暴雨下水道系统的影响:探索与最大日负荷总量的联系
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7453
B. Barkdoll
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Anaerobic Treatment of Dairy Wastewater: Impact of Substrate-to-Inoculum Ratio on Biomethane Production 乳制品废水的厌氧处理:基质与接种物比例对生物甲烷产量的影响
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7396
Ravi Kumar Parihar, Soumyadip Ghosh, Satyendra Prasad Chaurasia, Md Oayes Midda
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IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7446
Andrew Hansen, S. Moussavi, Bruce Dvorak
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The Effect of Heavy Metal on the Static and Dynamic Performances of Clay Sand 重金属对粘土砂静态和动态性能的影响
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7232
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Predicting the Production of Probiotic Biomass and Lactic Acid via Fuzzy Logic during the Anaerobic Treatment of Swine Waste ( Sus domestica ) with Lactobacillus acidophilus 通过模糊逻辑预测嗜酸乳杆菌厌氧处理猪废弃物过程中益生菌生物量和乳酸的产量
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Diogo Sousa, R. Dias, Rita Lourinho, Rita Maúricio
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引用次数: 0
Assessing Uncertainties in Mechanistic Modeling of Quality Fluctuations in Drinking Water Distribution Systems 评估饮用水输配系统水质波动机理模型中的不确定性
IF 2.2 4区 环境科学与生态学 Q3 ENGINEERING, CIVIL Pub Date : 2024-01-01 DOI: 10.1061/joeedu.eeeng-7400
G. R. Abhijith, A. Ostfeld
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引用次数: 0
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Journal of Environmental Engineering
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