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通过被动采样结合可疑筛查和多元统计分析来确定饮用水处理过程中的农药命运。

Pesticide fate during drinking water treatment determined through passive sampling combined with suspect screening and multivariate statistical analysis.

机构信息

School of the Environment, Geography and Geosciences, University of Portsmouth, Burnaby Road, Portsmouth PO1 3QL, United Kingdom.

School of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth PO1 2DT, United Kingdom.

出版信息

Water Res. 2022 Aug 15;222:118865. doi: 10.1016/j.watres.2022.118865. Epub 2022 Jul 14.

Abstract

Emerging contaminants such as polar pesticides pose a potential risk to human health due to their presence in drinking water. However, their occurrence and fate in drinking water treatment plants is poorly understood. In this study we use passive sampling coupled to suspect screening and multivariate analysis to describe pesticide fate throughout the treatment stream of an operational drinking water treatment plant. Chemcatcher passive sampling devices were deployed at sites (n = 6) positioned at all stages of the treatment stream during consecutive deployments (n = 20) over a twelve-month period. Sample extracts (n = 120) were analysed using high-resolution liquid chromatography-quadrupole-time-of-flight mass spectrometry and compounds identified against a commercially available database. A total of 58 pesticides and transformation products from different classes were detected. Statistical analysis of the qualitative screening data was performed to identify clusters of pesticides with similar fate during ozonation, granular activated carbon (GAC) filtration, and chlorination. The performance of each treatment process was investigated. Adsorption to GAC media was found to account for the greatest proportion of pesticide attenuation (average removal of 70% based on detection frequency), however, operational performance varied for certain pesticides during periods of episodic and sustained pollution. GAC breakthrough occurred for 21 compounds detected in the GAC filtrate. Eleven pesticides were found to occur in potable water following treatment. We developed a management plan containing controls, triggers, and responses, for five pesticides and a metabolite (atrazine, atrazine desethyl, DEET, dichlorobenzamide, metazachlor, and propyzamide) prioritised based on their current and future risk to treated water quality.

摘要

新兴污染物,如极性农药,由于其在饮用水中的存在,对人类健康构成潜在风险。然而,它们在饮用水处理厂中的存在和命运还知之甚少。在这项研究中,我们使用被动采样结合可疑筛选和多元分析来描述操作型饮用水处理厂处理过程中农药的命运。在连续部署(n=20)期间,在处理流的各个阶段(n=6)位置部署 Chemcatcher 被动采样装置,并在 12 个月的时间内进行多次部署。使用高分辨率液相色谱-四极杆飞行时间质谱对样本提取物(n=120)进行分析,并使用商业上可用的数据库对化合物进行鉴定。总共检测到 58 种来自不同类别的农药和转化产物。对定性筛选数据进行统计分析,以确定在臭氧氧化、颗粒活性炭(GAC)过滤和氯化过程中具有相似命运的农药簇。研究了每个处理过程的性能。发现 GAC 介质的吸附是农药衰减的最大比例(基于检测频率,平均去除率为 70%),但在 episodic 和持续污染期间,某些农药的运行性能会发生变化。在 GAC 滤出液中检测到 21 种化合物发生 GAC 突破。处理后在饮用水中发现 11 种农药。我们为五(莠去津、莠去津去乙基、DEET、二氯苯甲酰胺、甲草胺和异丙甲草胺)种农药和一种代谢物(atrazine、atrazine desethyl、DEET、dichlorobenzamide、metazachlor 和 propyzamide)制定了管理计划,该计划基于它们对处理后水质的当前和未来风险进行了控制、触发和响应。

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