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Abstract

Water quality management is a pressing global concern, and an increasingly complex issue due to climate and land-use change, legacy pollution, and the persistent release of well-known and emerging contaminants from diffuse and point sources. The increasing availability of high-frequency monitoring data is leading existing, often heuristic approaches, to be judged inadequate. Water managers frequently rely on simple qualitative and/or quantitative approaches for decision-making, but a lack of tangible improvement in freshwater quality outcomes is demanding new and innovative approaches that rely more on physical process understanding, rather than precedent. In this study, we drew upon local geological, hydrogeological, and hydrological data to infer a high-level perceptual model of surface/groundwater interactions in a chalk stream in Dorset, UK. We used the perceptual model to interrogate spatial and temporal trends in historical water quality data and to construct reach-scale nutrient mass balances. Through novel representation with Sankey diagrams, the perceptual model highlighted the relative importance of different hydrological features. Surface/groundwater interactions were found to occur predominantly by spring flow. We demonstrate that river flow accretion was dominated by the Chalk aquifer despite only occupying ca. 15 % of the surface bedrock area, and that spring sources, whilst vital to dilute treated sewage inputs in baseflow conditions, were also major sources of legacy nitrate. Nutrient mass balances showed that sewage treatment works contributed ca. 13 % to soluble reactive phosphorus load, with groundwater accounting for ca. 48 %. Thus, a determinand often associated with point-source pollution was shown to be diffuse dominated in this river. The study demonstrated how a multi-disciplinary approach to water management, based on a comprehensive perceptual modelling approach, could identify hitherto unknown sources and relative contributors to freshwater pollution and allow flow and load apportionment studies to provide useful decision-support to manage nutrient pollution. The novel application of perceptual modelling tools, such as the Sankey diagram, allows different source attributions to be presented in an accessible manner, and can be readily transferred to other study areas.
Original languageEnglish
Article number121406
Number of pages13
JournalWater Research
Volume254
Early online date29 Feb 2024
DOIs
Publication statusPublished - 1 May 2024

Data Availability Statement

We have shared the DOI links to our data in the main manuscript: doi:10.5285/9d98e1a7-7602-490f-9896-0eeed6eb1d40, doi:10.5285/0d5c7e45-2c43-4276-af0d-8d941db2e124.

Acknowledgements

The authors would like to express their gratitude to Wessex Water for
providing the necessary fieldwork equipment and for the supply of water
quality monitoring data from their assets.
The sources of data used in this study are acknowledged below with
the following attribution statements:
• This study uses Environment Agency water quality data from the
Water Quality Archive (Beta)
• The authors are grateful for the availability of borehole records
provided by British Geological Survey (UKRI) under the Open Government Licence.

Funding

Thomas Homan was supported by a Natural Environment Research Council (NERC) studentship at the GW4 Centre for Doctoral Training in Freshwater Biosciences and Sustainability (Gw4 FRESH CDT). Grant reference number: NE/R0115241. Thomas Homan was supported by a Natural Environment Research Council (NERC) studentship at the GW4 Centre for Doctoral Training in Freshwater Biosciences and Sustainability (Gw4 FRESH CDT). Grant reference number: NE/R0115241 .

FundersFunder number
Natural Environment Research CouncilNE/R0115241

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Flow accretion
  • Mass balance
  • Nutrients
  • Perceptual model
  • Surface/groundwater interactions
  • Water quality

ASJC Scopus subject areas

  • Water Science and Technology
  • Ecological Modelling
  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Civil and Structural Engineering

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