Articles | Volume 28, issue 17
https://doi.org/10.5194/hess-28-4239-2024
https://doi.org/10.5194/hess-28-4239-2024
Research article
 | 
13 Sep 2024
Research article |  | 13 Sep 2024

Karst aquifer discharge response to rainfall interpreted as anomalous transport

Dan Elhanati, Nadine Goeppert, and Brian Berkowitz

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This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Cited articles

Afzaal, H., Farooque, A. A., Abbas, F., Acharya, B., and Esau, T.: Groundwater Estimation from Major Physical Hydrology Components Using Artificial Neural Networks and Deep Learning, Water, 12, 5, https://doi.org/10.3390/w12010005, 2020. 
Anderson, S. and Radić, V.: Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling, Hydrol. Earth Syst. Sci., 26, 795–825, https://doi.org/10.5194/hess-26-795-2022, 2022. 
Aquilina, L., Ladouche, B., and Dörfliger, N.: Water storage and transfer in the epikarst of karstic systems during high flow periods, J. Hydrol., 327, 472–485, https://doi.org/10.1016/j.jhydrol.2005.11.054, 2006. 
Assari, A. and Mohammadi, Z.: Evaluation des voies d'écoulement dans un aquifère karstique à partir d'essais de traçage artificiels multiples en utilisant une simulation stochastique et le code MODFLOW-CFP, Hydrogeol. J., 25, 1679–1702, https://doi.org/10.1007/s10040-017-1595-z, 2017. 
Bakalowicz, M.: Karst groundwater: A challenge for new resources, Hydrogeol. J., 13, 148–160, https://doi.org/10.1007/s10040-004-0402-9, 2005. 
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Short summary
A continuous time random walk framework was developed to allow modeling of a karst aquifer discharge response to measured rainfall. The application of the numerical model yielded robust fits between modeled and measured discharge values, especially for the distinctive long tails found during recession times. The findings shed light on the interplay of slow and fast flow in the karst system and establish the application of the model for simulating flow and transport in such systems.
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