What controls current and future background vulnerability of rivers to eutrophication and pathogens?

• A simple water quality model retains physical basis yet is readily applicable nationwide. • 15-year hourly simulation of 30 rivers includes a new process-based pathogen model. • Water quality is more sensitive to channel attributes than geo-climatic variation. • Deoxygenation and pathogen persistence are set to worsen in the future. To have confidence managing rivers under changing environmental pressures we must demonstrate thorough understanding of their response. Models express our understanding quantitatively. For 30 rivers in England, catchment attributes were combined with hydro-climatic time-series in hourly-resolution water quality model applications over a 15-year period. Retaining high-resolution input observations within simplified catchment representations makes geographically widespread application of process-based models achievable, whilst still representing diurnal cycles and quantifying ecosystem functioning. Background vulnerability assessments revealed eutrophic conditions (>30 µg chlorophyll-a L −1 as diatoms), oxygen stress (<5 mg DO L −1 ), and violation of safe pathogen levels (>9 CFU mL −1 of the faecal indicator organism, Escherichia coli ) in 10, three, and 11 rivers respectively. Pathogen risk only considered treated effluent sources, not covering intermittent discharges or livestock contributions. By 2050, under a backdrop of uncertain change in climate, river quality is expected to worsen by 4.7 % for 10th percentile DO and 27.5 % for 90th percentile E. coli , with urban influence strongly determining sensitivity to change. Whilst deoxygenation vulnerability appears not widespread, faster future deteriorations are projected than elsewhere, such as in the USA. Eutrophication shows much spatio-temporal variability in change (with an average 5.1 % decrease in 90th percentile chlorophyll-a), seemingly controlled by local hydraulic factors and top-down biotic interactions. Across all indicators, riparian condition and channel hydrodynamics appear more important in controlling variability than regional differences in hydro-climatology. Assessment of comprehensive government-mandated interventions suggests partial offsetting of worsening DO, and further eutrophication decrease. E. coli deteriorations are effectively offset, although land management actions alone lead to further worsening.

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Institutions

Publication Details

Journal
Journal of Hydrology
Published
2025-12-02
DOI
https://doi.org/10.1016/j.jhydrol.2025.134713
Citations
1
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.82

Funders

Controls
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article

What controls current and future background vulnerability of rivers to eutrophication and pathogens?

Daniel S. Read, Yueming Qu, E. A. Gardner, Mike Bowes et al.
1 citations
Journal of Hydrology
Fecal contamination and water quality
0.82
article

What controls current and future background vulnerability of rivers to eutrophication and pathogens?

Daniel S. Read, Yueming Qu, E. A. Gardner, Mike Bowes, Michael Hutchins, Andrew C. Johnson, Dinara Sadykova, Christopher A. Robertson, L. Gechelle
article en
1 citations

Abstract

• A simple water quality model retains physical basis yet is readily applicable nationwide. • 15-year hourly simulation of 30 rivers includes a new process-based pathogen model. • Water quality is more sensitive to channel attributes than geo-climatic variation. • Deoxygenation and pathogen persistence are set to worsen in the future. To have confidence managing rivers under changing environmental pressures we must demonstrate thorough understanding of their response. Models express our understanding quantitatively. For 30 rivers in England, catchment attributes were combined with hydro-climatic time-series in hourly-resolution water quality model applications over a 15-year period. Retaining high-resolution input observations within simplified catchment representations makes geographically widespread application of process-based models achievable, whilst still representing diurnal cycles and quantifying ecosystem functioning. Background vulnerability assessments revealed eutrophic conditions (>30 µg chlorophyll-a L −1 as diatoms), oxygen stress (<5 mg DO L −1 ), and violation of safe pathogen levels (>9 CFU mL −1 of the faecal indicator organism, Escherichia coli ) in 10, three, and 11 rivers respectively. Pathogen risk only considered treated effluent sources, not covering intermittent discharges or livestock contributions. By 2050, under a backdrop of uncertain change in climate, river quality is expected to worsen by 4.7 % for 10th percentile DO and 27.5 % for 90th percentile E. coli , with urban influence strongly determining sensitivity to change. Whilst deoxygenation vulnerability appears not widespread, faster future deteriorations are projected than elsewhere, such as in the USA. Eutrophication shows much spatio-temporal variability in change (with an average 5.1 % decrease in 90th percentile chlorophyll-a), seemingly controlled by local hydraulic factors and top-down biotic interactions. Across all indicators, riparian condition and channel hydrodynamics appear more important in controlling variability than regional differences in hydro-climatology. Assessment of comprehensive government-mandated interventions suggests partial offsetting of worsening DO, and further eutrophication decrease. E. coli deteriorations are effectively offset, although land management actions alone lead to further worsening.

Journal of HydrologyVol. 665
Royal Holloway University of London (GB), Guildhall Library (GB), UK Centre for Ecology & Hydrology (GB), Brunel University of London (GB)
Department for Environment, Food and Rural Affairs, UK Government, Natural Environment Research Council
Openalex Percentile: Top 20%
Fecal contamination and water quality
0.82
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