Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK.
Sci Total Environ. 2010 Oct 1;408(21):5065-77. doi: 10.1016/j.scitotenv.2010.07.033. Epub 2010 Aug 6.
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.
收集了英格兰东北部奥特雷河(River Ouse)流域的河川流量和水质数据,包括叶绿素 a 作为河流水体浮游植物生物量的替代物,根据既定标准,该流域的河网基本未受污染。根据这些数据,建立了一个每日河川水质模型(QUESTOR),并对其进行了成功测试。经过审查,提出了一种基于浮游植物生物量的河流水质分类方案。根据气候变化预测,模型表明,到 2080 年,目前贫营养/中营养条件可能向中营养/富营养系统转变。评估了管理选项以减轻这种预测的水质下降。与减少养分污染相比,建立河岸遮荫是一种成本效益更高的选择,可更有效地抑制浮游植物的生长。在斯韦尔(Swale)支流,正在努力减少污水处理厂的磷负荷,这只会将峰值(95 百分位数)浮游植物减少 11%,而如果同时实施河岸树木覆盖,则可能减少 44%。同样,在乌雷(Ure),尽管通过限制上游农业来减少硝酸盐负荷可能会使硝酸盐负荷减少 10%,但河岸遮荫则会使硝酸盐水平降低 47%。此类建模研究受到现场数据不足的限制,但提供了一种评估应对富营养化影响的最具成本效益的方法的潜在非常有价值的工具。