2013
DOI: 10.1002/wrcr.20309
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Chloride circulation in a lowland catchment and the formulation of transport by travel time distributions

Abstract: [1] Travel times are fundamental catchment descriptors that blend key information about storage, geochemistry, flow pathways and sources of water into a coherent mathematical framework. Here we analyze travel time distributions (TTDs) (and related attributes) estimated on the basis of the extensive hydrochemical information available for the Hupsel Brook lowland catchment in the Netherlands. The relevance of the work is perceived to lie in the general importance of characterizing nonstationary TTDs to capture … Show more

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Cited by 86 publications
(122 citation statements)
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References 76 publications
(89 reference statements)
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“…Hrachowitz et al, 2013;. Results from a dynamic model of chloride transport revealed that water in transit was generally younger than storage water (Benettin et al, 2015). Differences between RTs and TTs also indicate that the assumption of complete mixing was not met for the Teviot Brook catchment.…”
Section: Storage Water and Its Relationships With The Older Streamflomentioning
confidence: 99%
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“…Hrachowitz et al, 2013;. Results from a dynamic model of chloride transport revealed that water in transit was generally younger than storage water (Benettin et al, 2015). Differences between RTs and TTs also indicate that the assumption of complete mixing was not met for the Teviot Brook catchment.…”
Section: Storage Water and Its Relationships With The Older Streamflomentioning
confidence: 99%
“…Hrachowitz et al, 2013;Birkel et al, 2015) and/or higher sampling frequencies (e.g. Birkel et al, 2012;Benettin et al, 2013Benettin et al, , 2015. Nonetheless, Seeger and Weiler (2014) recently noted that in the current state of research, the calculation of timeinvariant TT distributions from lumped models still represents a useful alternative to more complex, computerintensive modelling methods.…”
Section: Limitations Of This Study and Way Forwardmentioning
confidence: 99%
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“…The model used here shares a similar overall structure with many other conceptual models (e.g., Benettin et al, 2013), with several simplifications. However, although the model used here is typical in many respects, I will use it in an unusual way.…”
Section: Parameter Ranges and Precipitation Driversmentioning
confidence: 99%