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  • Bieroza-2018-The concentration-discharge slope, author accepted version

    Rights statement: This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 630, 2018 DOI: 10.1016/j.scitotenv.2018.02.056

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The concentration-discharge slope as a tool for water quality management

Research output: Contribution to journalJournal article

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The concentration-discharge slope as a tool for water quality management. / Bieroza, Magdalena Zofia; Heathwaite, Ann Louise; Bechmann, M.; Kyllmar, K. ; Jordan, P.

In: Science of the Total Environment, Vol. 630, 15.07.2018, p. 738-749.

Research output: Contribution to journalJournal article

Harvard

Bieroza, MZ, Heathwaite, AL, Bechmann, M, Kyllmar, K & Jordan, P 2018, 'The concentration-discharge slope as a tool for water quality management' Science of the Total Environment, vol. 630, pp. 738-749. https://doi.org/10.1016/j.scitotenv.2018.02.256

APA

Vancouver

Bieroza MZ, Heathwaite AL, Bechmann M, Kyllmar K, Jordan P. The concentration-discharge slope as a tool for water quality management. Science of the Total Environment. 2018 Jul 15;630:738-749. https://doi.org/10.1016/j.scitotenv.2018.02.256

Author

Bieroza, Magdalena Zofia ; Heathwaite, Ann Louise ; Bechmann, M. ; Kyllmar, K. ; Jordan, P. / The concentration-discharge slope as a tool for water quality management. In: Science of the Total Environment. 2018 ; Vol. 630. pp. 738-749.

Bibtex

@article{f3787768b65148f78598fb1ec28593f6,
title = "The concentration-discharge slope as a tool for water quality management",
abstract = "Recent technological breakthroughs of optical sensors and analysers have enabled matching the water quality measurement interval to the time scales of stream flow changes and led to an improved understanding of spatially and temporally heterogeneous sources and delivery pathways for many solutes and particulates. This new ability to match the chemograph with the hydrograph has promoted renewed interest in the concentration-discharge (c-q) relationship and its value in characterizing catchment storage, time lags and legacy effects for both weathering products and anthropogenic pollutants. In this paper we evaluated the stream c-q relationships for a number of water quality determinands (phosphorus, suspended sediments, nitrogen) in intensively managed agricultural catchments based on both high-frequency (sub-hourly) and long-term low-frequency (fortnightly-monthly) routine monitoring data. We used resampled high-frequency data to test the uncertainty in water quality parameters (e.g. mean, 95th percentile and load) derived from low-frequency sub-datasets. We showed that the uncertainty in water quality parameters increases with reduced sampling frequency as a function of the c-q slope. We also showed that different sources and delivery pathways control c-q relationship for different solutes and particulates. Secondly, we evaluated the variation in c-q slopes derived from the long-term low-frequency data for different determinands and catchments and showed strong chemostatic behaviour for phosphorus and nitrogen due to saturation and agricultural legacy effects. The c-q slope analysis can provide an effective tool to evaluate the current monitoring networks and the effectiveness of water management interventions. This research highlights how improved understanding of solute and particulate dynamics obtained with optical sensors and analysers can be used to understand patterns in long-term water quality time series, reduce the uncertainty in the monitoring data and to manage eutrophication in agricultural catchments.",
keywords = "Eutrophication, Concentration-discharge relationship, Chemostatic behaviour, High-frequency monitoring, Long-term water quality time series, Phosphorus and nitrogen",
author = "Bieroza, {Magdalena Zofia} and Heathwaite, {Ann Louise} and M. Bechmann and K. Kyllmar and P. Jordan",
note = "This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 630, 2018 DOI: 10.1016/j.scitotenv.2018.02.056",
year = "2018",
month = "7",
day = "15",
doi = "10.1016/j.scitotenv.2018.02.256",
language = "English",
volume = "630",
pages = "738--749",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - The concentration-discharge slope as a tool for water quality management

AU - Bieroza, Magdalena Zofia

AU - Heathwaite, Ann Louise

AU - Bechmann, M.

AU - Kyllmar, K.

AU - Jordan, P.

N1 - This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, 630, 2018 DOI: 10.1016/j.scitotenv.2018.02.056

PY - 2018/7/15

Y1 - 2018/7/15

N2 - Recent technological breakthroughs of optical sensors and analysers have enabled matching the water quality measurement interval to the time scales of stream flow changes and led to an improved understanding of spatially and temporally heterogeneous sources and delivery pathways for many solutes and particulates. This new ability to match the chemograph with the hydrograph has promoted renewed interest in the concentration-discharge (c-q) relationship and its value in characterizing catchment storage, time lags and legacy effects for both weathering products and anthropogenic pollutants. In this paper we evaluated the stream c-q relationships for a number of water quality determinands (phosphorus, suspended sediments, nitrogen) in intensively managed agricultural catchments based on both high-frequency (sub-hourly) and long-term low-frequency (fortnightly-monthly) routine monitoring data. We used resampled high-frequency data to test the uncertainty in water quality parameters (e.g. mean, 95th percentile and load) derived from low-frequency sub-datasets. We showed that the uncertainty in water quality parameters increases with reduced sampling frequency as a function of the c-q slope. We also showed that different sources and delivery pathways control c-q relationship for different solutes and particulates. Secondly, we evaluated the variation in c-q slopes derived from the long-term low-frequency data for different determinands and catchments and showed strong chemostatic behaviour for phosphorus and nitrogen due to saturation and agricultural legacy effects. The c-q slope analysis can provide an effective tool to evaluate the current monitoring networks and the effectiveness of water management interventions. This research highlights how improved understanding of solute and particulate dynamics obtained with optical sensors and analysers can be used to understand patterns in long-term water quality time series, reduce the uncertainty in the monitoring data and to manage eutrophication in agricultural catchments.

AB - Recent technological breakthroughs of optical sensors and analysers have enabled matching the water quality measurement interval to the time scales of stream flow changes and led to an improved understanding of spatially and temporally heterogeneous sources and delivery pathways for many solutes and particulates. This new ability to match the chemograph with the hydrograph has promoted renewed interest in the concentration-discharge (c-q) relationship and its value in characterizing catchment storage, time lags and legacy effects for both weathering products and anthropogenic pollutants. In this paper we evaluated the stream c-q relationships for a number of water quality determinands (phosphorus, suspended sediments, nitrogen) in intensively managed agricultural catchments based on both high-frequency (sub-hourly) and long-term low-frequency (fortnightly-monthly) routine monitoring data. We used resampled high-frequency data to test the uncertainty in water quality parameters (e.g. mean, 95th percentile and load) derived from low-frequency sub-datasets. We showed that the uncertainty in water quality parameters increases with reduced sampling frequency as a function of the c-q slope. We also showed that different sources and delivery pathways control c-q relationship for different solutes and particulates. Secondly, we evaluated the variation in c-q slopes derived from the long-term low-frequency data for different determinands and catchments and showed strong chemostatic behaviour for phosphorus and nitrogen due to saturation and agricultural legacy effects. The c-q slope analysis can provide an effective tool to evaluate the current monitoring networks and the effectiveness of water management interventions. This research highlights how improved understanding of solute and particulate dynamics obtained with optical sensors and analysers can be used to understand patterns in long-term water quality time series, reduce the uncertainty in the monitoring data and to manage eutrophication in agricultural catchments.

KW - Eutrophication

KW - Concentration-discharge relationship

KW - Chemostatic behaviour

KW - High-frequency monitoring

KW - Long-term water quality time series

KW - Phosphorus and nitrogen

U2 - 10.1016/j.scitotenv.2018.02.256

DO - 10.1016/j.scitotenv.2018.02.256

M3 - Journal article

VL - 630

SP - 738

EP - 749

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -