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Quantifying MCPA load pathways at catchment scale using high temporal resolution data

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dc.contributor.author Atcheson, Kevin
dc.contributor.author Mellander, Per-Erik
dc.contributor.author Cassidy, Rachel
dc.contributor.author Cook, Sally
dc.contributor.author Floyd, Stewart
dc.contributor.author McRoberts, Colin
dc.contributor.author Morton, Phoebe
dc.contributor.author Jordan, Phil
dc.date.accessioned 2022-06-01T11:41:02Z
dc.date.available 2022-06-01T11:41:02Z
dc.date.issued 2022-05-24
dc.identifier http://hdl.handle.net/20.500.12518/447
dc.identifier.citation Atcheson, K., Mellander, P.-E., Cassidy, R., Cook, S., Floyd, S., McRoberts, C., Morton, P.A. and Jordan, P. (2022) ‘Quantifying MCPA load pathways at catchment scale using high temporal resolution data’, Water Research. Elsevier BV. doi:10.1016/j.watres.2022.118654. en_US
dc.identifier.issn 0043-1354
dc.identifier.uri https://doi.org/10.1016/j.watres.2022.118654
dc.description Publication history: Accepted - 21 May 2022; Published online - 24 May 2022. en_US
dc.description.abstract Detection of the agricultural acid herbicide MCPA (2-methyl-4-chlorophenoxyacetic acid) in drinking water source catchments is of growing concern, with economic and environmental implications for water utilities and wider ecosystem services. MCPA is poorly adsorbed to soil and highly mobile in water, but hydrological pathway processes are relatively unknown at the catchment scale and limited by coarse resolution data. This understanding is required to target mitigation measures and to provide a framework to monitor their effectiveness. To address this knowledge gap, this study reports findings from river discharge and synchronous MCPA concentration datasets (continuous 7 hour and with additional hourly sampling during storm events) collected over a 7 month herbicide spraying season. The study was undertaken in a surface (source) water catchment (384 km2—of which 154 km2 is agricultural land use) in the cross-border area of Ireland. Combined into loads, and using two pathway separation techniques, the MCPA data were apportioned into event and baseload components and the former was further separated to quantify a quickflow (QF) and other event pathways. Based on the 7 hourly dataset, 85.2 kg (0.22 kg km􀀀 2 by catchment area, or 0.55 kg km􀀀 2 by agricultural area) of MCPA was exported from the catchment in 7 months. Of this load, 87.7 % was transported via event flow pathways with 72.0 % transported via surface dominated (QF) pathways. Approximately 12 % of the MCPA load was transported via deep baseflows, indicating a persistence in this delayed pathway, and this was the primary pathway condition monitored in a weekly regulatory sampling programme. However, overall, the data indicated a dominant acute, storm dependent process of incidental MCPA loss during the spraying season. Reducing use and/or implementing extensive surface pathway disconnection measures are the mitigation options with greatest potential, the success of which can only be assessed using high temporal resolution monitoring techniques. en_US
dc.description.sponsorship This work was carried out as part of Source to Tap (IVA5018), a project supported by the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPB). en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2022 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). en_US
dc.subject Pesticides en_US
dc.subject MCPA en_US
dc.subject Catchments en_US
dc.subject Pathways en_US
dc.subject Export loads en_US
dc.title Quantifying MCPA load pathways at catchment scale using high temporal resolution data en_US
dc.type Article en_US


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