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Article

Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers

1
Géosciences Environnement Toulouse (GET), CNRS–UPS–IRD–CNES, 14 avenue Edouard Belin, 31400 Toulouse, France
2
Centre of Hydrogeology and Geothermics, University of Neuchâtel, 11 Rue Emile Argand, CH-2000 Neuchâtel, Switzerland
*
Author to whom correspondence should be addressed.
Water 2020, 12(4), 1139; https://doi.org/10.3390/w12041139
Received: 9 March 2020 / Revised: 10 April 2020 / Accepted: 13 April 2020 / Published: 16 April 2020
(This article belongs to the Special Issue Recent Advances in Karstic Hydrogeology)
Artificial tracer tests constitute one of the most powerful tools to investigate solute transport in conduit-dominated karstic aquifers. One can retrieve information about the internal structure of the aquifer directly by a careful analysis of the residence time distribution (RTD). Moreover, recent studies have shown the strong dependence of solute transport in karstic aquifers on boundary conditions. Information from artificial tracer tests leads us to propose a hypothesis about the internal structure of the aquifers and the effect of the boundary conditions (mainly high or low water level). So, a multi-tracer test calibration of a model appeared to be more consistent in identifying the effects of changes to the boundary conditions and to take into consideration their effects on solute transport. In this study, we proposed to run the inverse problem based on artificial tracer tests with a numerical procedure composed of the following three main steps: (1) conduit network geometries were simulated using a pseudo-genetic algorithm; (2) the hypothesis about boundary conditions was imposed in the simulated conduit networks; and (3) flow and solute transport were simulated. Then, using a trial-and-error procedure, the simulated RTDs were compared to the observed RTD on a large range of simulations, allowing identification of the conduit geometries and boundary conditions that better honor the field data. This constitutes a new approach to better constrain inverse problems using a multi-tracer test calibration including transient flow. View Full-Text
Keywords: karst hydrosystems; pseudo-genetic modeling; artificial tracer tests karst hydrosystems; pseudo-genetic modeling; artificial tracer tests
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MDPI and ACS Style

Sivelle, V.; Renard, P.; Labat, D. Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers. Water 2020, 12, 1139. https://doi.org/10.3390/w12041139

AMA Style

Sivelle V, Renard P, Labat D. Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers. Water. 2020; 12(4):1139. https://doi.org/10.3390/w12041139

Chicago/Turabian Style

Sivelle, Vianney; Renard, Philippe; Labat, David. 2020. "Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers" Water 12, no. 4: 1139. https://doi.org/10.3390/w12041139

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