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Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms.

机译:使用基于数据的连续风暴高频观测的机械模型确定的流量和氢离子相互关系。

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摘要

With the aim of quantifying the purely hydrological control on fast water quality dynamics, a modelling approach was used to identify the structure (and dynamic response characteristics or DRCs) of the relationship between rainfall and hydrogen ion (H+) load, with reference to rainfall to streamflow response. Unlike most hydrochemistry studies, the method used makes no a priori assumptions about the complexity of the dynamics (e.g., number of flow-paths), but instead uses objective statistical methods to define these (together with uncertainty analysis). The robust models identified are based on continuous-time transfer functions and demonstrate high simulation efficiency with a constrained uncertainty allowing hydrological interpretation of dominant flow-paths and behaviour of H+ load in four upland headwaters. Identified models demonstrated that the short-term dynamics in H+ concentration were closely associated with the streamflow response, suggesting a dominant hydrological control. The second-order structure identified for the rainfall to streamflow response was also seen as the optimal models for rainfall to H+ load, even given the very dynamic concentration response, possibly indicating the same two flow-paths being responsible for both integrated responses.
机译:为了量化对快速水质动力学的纯水文控制,采用建模方法来识别降雨与氢离子(H +)负荷之间关系的结构(和动态响应特征或DRC),并参考降雨。流响应。与大多数水化学研究不同的是,所使用的方法没有对动力学的复杂性(例如流动路径的数量)进行先验假设,而是使用客观的统计方法来定义这些特征(以及不确定性分析)。所确定的鲁棒模型基于连续时间传递函数,并在有限的不确定性下证明了较高的仿真效率,从而可以对四个高原水源地的主要水流路径和H +负荷行为进行水文解释。确定的模型表明,H +浓度的短期动态与水流响应密切相关,表明主要的水文控制。即使给出了非常动态的浓度响应,为降雨到水流响应确定的二阶结构也被视为降雨到H +负荷的最佳模型,这可能表明相同的两个流动路径负责这两个综合响应。

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