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利用高频集水区尺度数据评估 Chemcatcher® 被动采样器用于农药监测。

Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data.

机构信息

Agri-Environment Branch, Agri-Food and Bioscience Institute, Belfast, UK.

Food Research Branch, Agri-Food and Bioscience Institute, Belfast, UK.

出版信息

J Environ Manage. 2022 Dec 15;324:116292. doi: 10.1016/j.jenvman.2022.116292. Epub 2022 Sep 30.

DOI:10.1016/j.jenvman.2022.116292
PMID:36183532
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9666346/
Abstract

Passive samplers (PS) have been proposed as an enhanced water quality monitoring solution in rivers, but their performance against high-frequency data over the longer term has not been widely explored. This study compared the performance of Chemcatcher® passive sampling (PS) devices with high-frequency sampling (HFS: 7-hourly to daily) in two dynamic rivers over 16 months. The evaluation was based on the acid herbicides MCPA (2-methyl-4-chlorophenoxyacetic acid), mecoprop-P, fluroxypyr and triclopyr. The impact of river discharge parameters on Chemcatcher® device performance was also explored. Mixed effects modelling showed that time-weighted mean concentration (TWMC) and flow-weighted mean concentration (FWMC) values obtained by the HFS approach were both significantly higher (p < 0.001) than TWMC values determined from PS regardless of river or pesticide. Modelling also showed that TWMC values were more similar to TWMC than FWMC values. However, further testing revealed that MCPA TWMC values from HFS and PS were not significantly different (p > 0.05). There was little indication that river flow parameters altered PS performance-some minor effects were not significant or consistent. Despite this, the PS recovery of very low concentrations indicated that Chemcatcher® devices may be used to evaluate the presence/absence and magnitude of acid herbicides in hydrologically dynamic rivers in synoptic type surveys where space and time coverage is required. However, a period of calibration of the devices in each river would be necessary if they were intended to provide a quantitative review of pesticide concentration as compared with HFS approaches.

摘要

被动采样器 (PS) 已被提议作为一种增强型水质监测解决方案用于河流中,但它们在更长时间内针对高频数据的性能尚未得到广泛探索。本研究在 16 个月的时间里,比较了 Chemcatcher® 被动采样 (PS) 设备与高频采样 (HFS:每 7 小时至每天) 在两条动态河流中的性能。评估基于酸除草剂 MCPA(2-甲基-4-氯苯氧基乙酸)、Mecoprop-P、氟草烟和三氯吡。还探讨了河流流量参数对 Chemcatcher® 设备性能的影响。混合效应模型表明,HFS 方法获得的时间加权平均浓度 (TWMC) 和流量加权平均浓度 (FWMC) 值均显著高于 PS 确定的 TWMC 值(p < 0.001),无论河流还是农药。模型还表明,TWMC 值与 PS 值比 FWMC 值更相似。然而,进一步的测试表明,HFS 和 PS 获得的 MCPA TWMC 值没有显著差异(p > 0.05)。几乎没有迹象表明河流流量参数改变了 PS 的性能——一些较小的影响不显著或不一致。尽管如此,PS 对极低浓度的回收率表明,Chemcatcher® 设备可用于在需要空间和时间覆盖的同步类型调查中评估水文动态河流中酸除草剂的存在/不存在及其大小。然而,如果它们旨在与 HFS 方法相比提供对农药浓度的定量评估,那么在每个河流中对设备进行校准的时间段是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/d99e3ead7c86/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/1e67b3e3abc8/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/495d17506223/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/851e3296fea2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/61e60c42cdfa/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/4ea01e27e911/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/d99e3ead7c86/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/1e67b3e3abc8/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/495d17506223/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/851e3296fea2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/61e60c42cdfa/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/4ea01e27e911/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c10/9666346/d99e3ead7c86/gr5.jpg

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本文引用的文献

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A flow-weighted approach to generate daily total phosphorus loads in streams based on seasonal loads.基于季节负荷的流量加权法生成河流日总磷负荷
Environ Monit Assess. 2021 Jun 15;193(7):422. doi: 10.1007/s10661-021-09199-4.
3
Approaches to herbicide (MCPA) pollution mitigation in drinking water source catchments using enhanced space and time monitoring.
采用增强时空监测的方法减轻饮用水源集水区中除草剂(MCPA)污染。
Sci Total Environ. 2021 Feb 10;755(Pt 1):142827. doi: 10.1016/j.scitotenv.2020.142827. Epub 2020 Oct 8.
4
Sampling rates for passive samplers exposed to a field-relevant peak of 42 organic pesticides.被动采样器在野外相关峰值条件下暴露于 42 种有机农药时的采样频率。
Sci Total Environ. 2020 Oct 20;740:140376. doi: 10.1016/j.scitotenv.2020.140376. Epub 2020 Jun 20.
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Using a multi-dimensional approach for catchment scale herbicide pollution assessments.采用多维方法评估集水区尺度的除草剂污染。
Sci Total Environ. 2020 Dec 10;747:141232. doi: 10.1016/j.scitotenv.2020.141232. Epub 2020 Jul 25.
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Combination of passive and grab sampling strategies improves the assessment of pesticide occurrence and contamination levels in a large-scale watershed.被动采样和抓取采样策略的结合提高了大规模流域中农药出现和污染水平的评估。
Sci Total Environ. 2019 Feb 15;651(Pt 1):684-695. doi: 10.1016/j.scitotenv.2018.09.202. Epub 2018 Sep 19.
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