Articles | Volume 17, issue 8
https://doi.org/10.5194/hess-17-3305-2013
https://doi.org/10.5194/hess-17-3305-2013
Research article
 | 
23 Aug 2013
Research article |  | 23 Aug 2013

Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties

A. Hartmann, M. Weiler, T. Wagener, J. Lange, M. Kralik, F. Humer, N. Mizyed, A. Rimmer, J. A. Barberá, B. Andreo, C. Butscher, and P. Huggenberger

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Cited articles

Anderson, R. G. and Goulden, M. L.: Relationships between climate, vegetation, and energy exchange across a montane gradient, J. Geophys. Res., 116, G01026, https://doi.org/10.1029/2010jg001476, 2011.
Aquilina, L., Ladouche, B., and Doerfliger, N.: Water storage and transfer in the epikarst of karstic systems during high flow periods, J. Hydrol., 327, 472–485, 2006.
Bailly-Comte, V., Borrell-Estupina, V., Jourde, H., and Pistre, S.: A conceptual semidistributed model of the Coulazou River as a tool for assessing surface water–karst groundwater interactions during flood in Mediterranean ephemeral rivers, Water Resour. Res., 48, W09534, https://doi.org/10.1029/2010wr010072, 2012.
Bakalowicz, M.: Karst groundwater: a challenge for new resources, Hydrogeol. J., 13, 148–160, 2005.
Barberá, J. A. and Andreo, B.: Functioning of a karst aquifer from S Spain under highly variable climate conditions, deduced from hydrochemical records, Environ. Earth Sci., 65, 2337–2349, https://doi.org/10.1007/s12665-011-1382-4, 2011.
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