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Assessing The Value Of Cl~- And δ~(18)o Data In Modelling The Hydrological Behaviour Of A Small Upland Catchment In Northeast Scotland

机译:评估Cl〜-和δ〜(18)o数据在模拟苏格兰东北部小陆流域水文行为中的价值

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摘要

Model simulation of cr and δ~(18)O in stream waters has been investigated as a means of improving interpretation of catchment-scale hydrological processes. The procedure has been evaluated for a small upland catchment which is one of the UK Environmental Change Network sites. Precipitation and stream samples have been analysed for hydrochemical determinands since the mid 1990s and, since November 2004, measurement of δ~(18)O has also been undertaken. A conceptual hydrological model STREAM (STorage REsidence times And Mixing) was applied to the catchment to simulate the hydrology and responses of Cl~- and δ~(18)O. Results from model simulations confirmed that the catchment generally behaves as a well-mixed system. The feasibility of flow contributions from a deep groundwater source and infiltration excess runoff was examined, in addition to the apparently dominant shallow groundwater response. The ability to estimate mean residence times and draw strong conclusions about catchment processes was limited by the range of uncertainties in the experimental data and modelling, integration of the tracer data in the model was found to be of value for probing model sensitivities and developing hypotheses that inform the design of further field experimentation, in this way, the modelling provides key feedback within a catchment learning framework.
机译:研究了溪流水中cr和δ〜(18)O的模型模拟,作为改进对集水规模水文过程解释的一种手段。该程序已针对英国高地环境变化网络站点之一的小型高地流域进行了评估。自1990年代中期以来,已经对降水和溪流样品进行了水化学测定的分析,并且自2004年11月以来,也已经进行了δ〜(18)O的测量。将概念性水文模型STREAM(存储停留时间和混合)应用于流域,以模拟Cl〜-和δ〜(18)O的水文和响应。模型模拟的结果证实,集水区总体上表现为良好的混合系统。除了明显占主导地位的浅层地下水响应外,还研究了来自深层地下水源的流量贡献和入渗过量径流的可行性。估计平均停留时间并得出有关流域过程的强有力结论的能力受到实验数据和建模的不确定性范围的限制,发现示踪剂数据在模型中的整合对于探测模型的敏感性和发展假设是有价值的。通知设计进一步的野外实验,通过这种方式,建模可在集水区学习框架内提供关键反馈。

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