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Drivers of interannual and intra‐annual variability of dissolved organic carbon concentration in the River Thames between 1884 and 2013

机译:1884年至2013年期间泰晤士河中溶解有机碳浓度的年际和年际变化动因

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The world's longest record of river water quality (River Thames-130 years) provides a unique opportunity to understand fluvial dissolved organic carbon (DOC) concentrations dynamics. Understanding riverine DOC variability through long-term studies is crucial to capture patterns and drivers influencing sources of DOC at scales relevant for decision making. The Thames basin (United Kingdom) has undergone massive land-use change, as well as increased urbanisation and population during the period considered. We aimed to investigate the drivers of intra-annual to interannual DOC variability, assess the variability due to natural and anthropogenic factors, and understand the causes for the increased DOC variability over the period. Two approaches were used to achieve these aims. The first method was singular spectrum analysis, which was used to reconstruct the major oscillatory modes of DOC, hydroclimatic variables, and atmospheric circulation patterns and to visualise the interaction between these variables. The second approach used was generalised additive modelling, which was used to investigate other non-natural drivers of DOC variability. Our study shows that DOC variability increased by 80% over the data period, with the greatest increase occurring from the beginning of World War II onwards. The primary driver of the increase in DOC variability was the increase in the average value of fluvial DOC over the period of record, which was itself linked to the increase in basin population and diffuse DOC sources to the river due to land-use and land-management changes. Seasonal DOC variability was linked to streamflow and temperature. Our study allows to identify drivers of fluvial intra-annual and interannual DOC variability and therefore empowers actions to reduce high DOC concentrations.
机译:世界上最长的河流水质记录(泰晤士河130年)为了解河流溶解性有机碳(DOC)浓度动态提供了独特的机会。通过长期研究来了解河流DOC的可变性对于捕获与决策相关的影响DOC来源的模式和驱动因素至关重要。在所考虑的时期内,泰晤士河流域(英国)发生了大规模的土地利用变化,城市化进程和人口增加。我们旨在调查年内至年间DOC变异性的驱动因素,评估由于自然和人为因素引起的变异性,并了解此期间DOC变异性增加的原因。使用了两种方法来实现这些目标。第一种方法是奇异频谱分析,该方法用于重构DOC,水气候变量和大气环流模式的主要振荡模式,并可视化这些变量之间的相互作用。使用的第二种方法是广义加性建模,用于研究DOC变异性的其他非自然驱动因素。我们的研究表明,在数据期内,DOC变异性增加了80%,其中最大的增加发生在第二次世界大战开始之后。 DOC变异性增加的主要驱动力是记录期间河流DOC平均值的增加,这本身与流域人口的增加以及由于土地利用和土地利用而向河流扩散的DOC源有关。管理变动。季节性DOC的变化与流量和温度有关。我们的研究可以识别出河流中年度和年度间DOC变异的驱动因素,因此可以采取行动降低DOC的高浓度。

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