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

被引:53
作者
Hutchins, M. G. [1 ]
Johnson, A. C. [1 ]
Deflandre-Vlandas, A. [1 ]
Comber, S. [2 ]
Posen, P. [3 ]
Boorman, D. [1 ]
机构
[1] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
[2] Atkins Ltd, Oxford OX29 4AH, England
[3] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England
基金
英国生物技术与生命科学研究理事会;
关键词
River quality model; Phytoplankton; Nutrients; Riparian shading; Pollution mitigation; Climate change; STREAM WATER-QUALITY; LAND-OCEAN INTERACTION; SWALE-OUSE SYSTEM; DISSOLVED-OXYGEN; CLIMATE-CHANGE; CHLOROPHYLL-A; PART; EASTERN ENGLAND; NEW-ZEALAND; UK RIVERS;
D O I
10.1016/j.scitotenv.2010.07.033
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 lire, 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. (C) 2010 Elsevier B.V. All rights reserved.
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页码:5065 / 5077
页数:13
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