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Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?

Hutchins, M.G. ORCID: https://orcid.org/0000-0003-3764-5331; Johnson, A.C. ORCID: https://orcid.org/0000-0003-1570-3764; Deflandre-Vlandas, A.; Comber, S.; Posen, P.; Boorman, D. ORCID: https://orcid.org/0000-0002-6436-5266. 2010 Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading? Science of the Total Environment, 408 (21). 5065-5077. https://doi.org/10.1016/j.scitotenv.2010.07.033

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Abstract/Summary

River flow and quality data, including chlorophyll-a as a surrogate for river phytoplankton biomass, were collated for the River Ouse catchment in NE England, which according to established criteria is a largely unpolluted network. Against these data, a daily river quality model (QUESTOR) was setup and successfully tested. Following a review, a river quality classification scheme based on phytoplankton biomass was proposed. Based on climate change predictions the model indicated that a shift from present day oligotrophic/mesotrophic conditions to a mesotrophic/eutrophic system could occur by 2080. Management options were evaluated to mitigate against this predicted decline in quality. Reducing nutrient pollution was found to be less effective at suppressing phytoplankton growth than the less costly option of establishing riparian shading. In the Swale tributary, ongoing efforts to reduce phosphorus loads in sewage treatment works will only reduce peak (95th percentile) phytoplankton by 11%, whereas a reduction of 44% is possible if riparian tree cover is also implemented. Likewise, in the Ure, whilst reducing nitrate loads by curtailing agriculture in the headwaters may bring about a 10% reduction, riparian shading would instead reduce levels by 47%. Such modelling studies are somewhat limited by insufficient field data but offer a potentially very valuable tool to assess the most cost-effective methods of tackling effects of eutrophication.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.scitotenv.2010.07.033
Programmes: CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 1 - Variability and Change in Water Systems > WA - 1.3 - Model, attribute and predict impacts of climate and land cover change on hydrological and freshwater systems
UKCEH and CEH Sections/Science Areas: Acreman
Boorman (to September 2014)
ISSN: 0048-9697
Additional Keywords: river quality model, phytoplankton, nutrients, riparian shading, pollution mitigation, climate change
NORA Subject Terms: Management
Ecology and Environment
General > Science Policy
Hydrology
Date made live: 08 Sep 2010 11:55 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/10244

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