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Temporal hydrochemical dynamics of the River Wensum, UK: Observations from long-term high-resolution monitoring (2011-2018)

机译:WENCEUM河WENSUM的时间水化学动力学:长期高分辨率监测的观察(2011-2018)

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In 2010, the UK government established the Demonstration Test Catchment (DTC) initiative to evaluate the extent to which on-farm mitigation measures can cost-effectively reduce the impacts of agricultural water pollution on river ecology whilst maintaining food production capacity. A central component of the DTC platform was the establishment of a comprehensive network of automated, web-based sensor technologies to generate high-temporal resolution (30 min) empirical datasets of surface water, groundwater and meteorological parameters over a long period (2011-2018). Utilising 8.9 million water quality measurements generated for the River Wensum, this paper demonstrates how long-term, high-resolution monitoring of hydrochemistry can improve our understanding of the complex temporal dynamics of riverine processes from 30 min to annual timescales. This paper explores the impact of groundwater-surface water interactions on instream pollutant concentrations (principally nitrogen, phosphorus and turbidity) and reveals how varying hydrochemical associations under contrasting flow regimes can elicit important information on the dominant pollution pathways. Furthermore, this paper examines the relationships between agricultural pollutants and precipitation events of varying magnitude, whilst demonstrating how high-resolution data can be utilised to develop conceptual models of hydrochemical processes for contrasting winter and summer seasons. Finally, this paper considers how high-resolution hydrochemical data can be used to increase land manager awareness of environmentally damaging farming operations and encourage the adoption of more water sensitive land management practices.
机译:2010年,英国政府设立了示范试验集水机会(DTC)倡议,以评估农场减缓措施的程度可以高效地减少农业水污染对河流生态的影响,同时保持食品生产能力。 DTC平台的一个核心组成部分是建立一个全面的自动化网络传感器技术网络,在长期内产生高时的分辨率(30分钟)地表水,地下水和气象参数的经验数据集(2011-2018 )。本文利用为Wensum河流产生的890万水质测量,展示了对水化学的长期,高分辨率监测可以提高我们对年河流过程的复杂时间动态,从30分钟到年度时间表。本文探讨了地下水地面水相互作用对卷筒污染物浓度(主要氮,磷和浊度)的影响,并揭示了对比流动制度下的水化学协会的不同程度可以引起关于主导污染途径的重要信息。此外,本文研究了农业污染物与不同幅度的降水事件之间的关系,同时证明如何利用高分辨率数据来制定对比冬季和夏季较阳性的水化工程的概念模型。最后,本文考虑了高分辨率的水化学数据可用于增加土地经理对环境破坏性农业运营的认识,并鼓励采用更多的水敏感的土地管理实践。

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