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 model 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.
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Research Article|
April 07 2014
Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms
Timothy D. Jones;
1Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
E-mail: [email protected]
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Nick A. Chappell
Nick A. Chappell
1Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
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Hydrology Research (2014) 45 (6): 868–892.
Article history
Received:
September 25 2013
Accepted:
March 10 2014
Citation
Timothy D. Jones, Nick A. Chappell; Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms. Hydrology Research 1 December 2014; 45 (6): 868–892. doi: https://doi.org/10.2166/nh.2014.155
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