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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY.

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第一作者： L,Cronin

第一单位： School of Chemical Sciences, Glasnevin, Dublin 9, Ireland.;Centre for Environmental Research, Innovation and Sustainability CERIS, Dept. of Environmental Science, Atlantic Technological University, Sligo Campus, F91 YW50, Ireland.

作者： L,Cronin ^[1] ; C M,Taylor ^[2] ; C,Briciu Burghina ^[3] ; F E,Lucy ^[2] ; F,Regan ^[4]

作者单位： School of Chemical Sciences, Glasnevin, Dublin 9, Ireland.;Centre for Environmental Research, Innovation and Sustainability CERIS, Dept. of Environmental Science, Atlantic Technological University, Sligo Campus, F91 YW50, Ireland. ^[1] Centre for Environmental Research, Innovation and Sustainability CERIS, Dept. of Environmental Science, Atlantic Technological University, Sligo Campus, F91 YW50, Ireland. ^[2] DCU Water Institute, Glasnevin, Dublin 9, Ireland. ^[3] School of Chemical Sciences, Glasnevin, Dublin 9, Ireland.;DCU Water Institute, Glasnevin, Dublin 9, Ireland. ^[4]

关键词 Continuous monitoring Diffuse pollution EU water framework directive Event detection Event driven pollution High frequency monitoring Hydrodynamic water quality events US EPA CANARY Water quality events workflow Water quality time series

DOI 10.1016/j.mex.2025.103538

PMID 40808754

发布时间 2025-08-16

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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY.

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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY.

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