Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2895-2020
https://doi.org/10.5194/hess-24-2895-2020
Research article
 | 
03 Jun 2020
Research article |  | 03 Jun 2020

On the shape of forward transit time distributions in low-order catchments

Ingo Heidbüchel, Jie Yang, Andreas Musolff, Peter Troch, Ty Ferré, and Jan H. Fleckenstein

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Cited articles

Ali, M., Fiori, A., and Russo, D.: A comparison of travel-time based catchment transport models, with application to numerical experiments, J. Hydrol., 511, 605–618, https://doi.org/10.1016/j.jhydrol.2014.02.010, 2014. 
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Amin, I. E. and Campana, M. E.: A general lumped parameter model for the interpretation of tracer data and transit time calculation in hydrologic systems, J. Hydrol., 179, 1–21, https://doi.org/10.1016/0022-1694(95)02880-3, 1996. 
Becker, M. W. and Shapiro, A. M.: Interpreting tracer breakthrough tailing from different forced-gradient tracer experiment configurations in fractured bedrock, Water Resour. Res., 39, 1024, https://doi.org/10.1029/2001WR001190, 2003. 
Begemann, F. and Libby, W. F.: Continental water balance, ground water inventory and storage times, surface ocean mixing rates and world-wide water circulation patterns from cosmic-ray and bomb tritium, Geochim. Cosmochim. Ac., 12, 277–296, https://doi.org/10.1016/0016-7037(57)90040-6, 1957. 
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Short summary
With the help of a 3-D computer model we examined how long the water of different rain events stays inside small catchments before it is discharged and how the nature of this discharge is controlled by different catchment and climate properties. We found that one can only predict the discharge dynamics when taking into account a combination of catchment and climate properties (i.e., there was not one single most important predictor). Our results can help to manage water pollution events.
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