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

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-freque...

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Autores principales: Farrow, Luke G., Morton, Phoebe A., Cassidy, Rachel, Floyd, Stewart, McRoberts, W. Colin, Doody, Donnacha G., Jordan, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666346/
https://www.ncbi.nlm.nih.gov/pubmed/36183532
http://dx.doi.org/10.1016/j.jenvman.2022.116292
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author Farrow, Luke G.
Morton, Phoebe A.
Cassidy, Rachel
Floyd, Stewart
McRoberts, W. Colin
Doody, Donnacha G.
Jordan, Philip
author_facet Farrow, Luke G.
Morton, Phoebe A.
Cassidy, Rachel
Floyd, Stewart
McRoberts, W. Colin
Doody, Donnacha G.
Jordan, Philip
author_sort Farrow, Luke G.
collection PubMed
description 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(PS) values were more similar to TWMC(HFS) than FWMC(HFS) 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.
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spelling pubmed-96663462022-12-15 Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data Farrow, Luke G. Morton, Phoebe A. Cassidy, Rachel Floyd, Stewart McRoberts, W. Colin Doody, Donnacha G. Jordan, Philip J Environ Manage Research Article 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(PS) values were more similar to TWMC(HFS) than FWMC(HFS) 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. Academic Press 2022-12-15 /pmc/articles/PMC9666346/ /pubmed/36183532 http://dx.doi.org/10.1016/j.jenvman.2022.116292 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Farrow, Luke G.
Morton, Phoebe A.
Cassidy, Rachel
Floyd, Stewart
McRoberts, W. Colin
Doody, Donnacha G.
Jordan, Philip
Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title_full Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title_fullStr Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title_full_unstemmed Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title_short Evaluation of Chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
title_sort evaluation of chemcatcher® passive samplers for pesticide monitoring using high-frequency catchment scale data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666346/
https://www.ncbi.nlm.nih.gov/pubmed/36183532
http://dx.doi.org/10.1016/j.jenvman.2022.116292
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