Browning of Scottish surface water sources exposed to climate change

S. Haaland, B. Eikebrokk, G. Riise, R. D. Vogt
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Abstract

Levels of dissolved natural organic matter (DNOM) are increasing in our boreal watercourses. This is manifested by an apparent increase in its yellow to brown colour of the water, i.e., browning. Sound predictions of future changes in colour of our freshwaters is a prerequisite for predicting effects on aquatic fauna and a sustainable operation of drinking water facilities using surface waters as raw water sources. A model for the effect of climate on colour (mg Pt L-1) has been developed for two surface raw water sources in Scotland, i.e., at Bracadale and Port Charlotte. Both sites are situated far out on the Scottish west coast, without major impact of acid rain, with limited amounts of frost, and with limited recent land-use changes. The model was fitted to 15 years long data-series on colour measurements, provided by Scottish Water, at the two sites. Meteorological data were provided by UK Met. The models perform well for both sites in simulating the variation in monthly measured colour, explaining 89 and 90% of the variation at Bracadale and Port Charlotte, respectively. These well fitted models were used to predict future changes in colour due to changes in temperature and precipitation based on median climate data from a high emission climate RCP8.5 scenario from the HadCM3 climate model (UKCP18). The model predicted an increase in monthly average colour during growing season at both sites from about 150 mg Pt L-1 to about 200 mg Pt L-1 in 2050–2079. Temperature is found to be the most important positively driver for colour development at both sites.
受气候变化影响的苏格兰地表水源变褐
北方水道中溶解的天然有机物质(DNOM)的含量正在增加。这表现在水的黄色明显增加到棕色,即褐变。对未来淡水颜色变化的合理预测是预测对水生动物的影响和以地表水作为原水来源的饮用水设施可持续运行的先决条件。气候对颜色(mg Pt L-1)影响的模型已经为苏格兰的两个地表原水水源,即Bracadale和Port Charlotte开发。这两个地点都位于苏格兰西海岸,没有酸雨的重大影响,霜冻数量有限,最近的土地利用变化也有限。该模型与苏格兰水务公司在两个地点提供的长达15年的颜色测量数据系列相匹配。气象资料由英国气象局提供。该模型在模拟两个地点每月测量的颜色变化方面表现良好,分别解释了Bracadale和Port Charlotte的89%和90%的变化。基于HadCM3气候模式(UKCP18)的高排放RCP8.5情景的中位数气候数据,这些拟合良好的模型被用于预测由于温度和降水变化而导致的未来颜色变化。该模型预测,在2050-2079年,两个地点生长季节的月平均颜色将从约150 mg Pt -1增加到约200 mg Pt -1。温度被发现是两个地点颜色发展的最重要的积极驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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