Artificial Tracer Tests Interpretation Using Transfer Function Approach to Study the Norville Karst System

Sivelle, Vianney; Labat, David; Duran, Léa; Fournier, Matthieu; Masséi, Nicolas

doi:10.1007/978-3-030-14015-1_22

Cited by 3 publications

(4 citation statements)

References 25 publications

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“…Also, the mixing coefficient A is equal to 47.8 and N is equal to 3.88. These coefficients are in the same order of magnitude as for the Norville chalk aquifer when the spring discharge is high (Sivelle et al, 2018).…”

Section: Calibration Of the Transfer Function Parametersmentioning

confidence: 58%

“…Also, it appears that the mixing coefficient shows variability depending on the outlet discharge rate. The previous study has shown that the mixing coefficient could be linked to the outlet discharge in case of a conduit dominated flow (Sivelle et al, 2018). As the discharge rate has decreased by 33% during the tracer tests campaign, the variation is considered sufficient to impact the solute transport.…”

Section: (12)mentioning

confidence: 98%

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Short-term variations in tracer-test responses in a highly karstified watershed

Sivelle

Labat

2019

Hydrogeol J

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Modelling non-reactive solute transport based on artificial tracer tests have been widely used in the past decades. The dependence of solute transport from boundary conditions have been investigated across different hydrological conditions (low and high-water level) but still not investigated on short-term scale (i.e. hourly and daily scale). In this study, a campaign of several tracer tests is performed on a few days to investigate the short-term variations of tracer tests responses in a conduit dominated kart system during a recession without the influence of rainfall. Also, an improved artificial tracer test interpretation using a process engineering tool is introduced. It consists of a Laplace-transform transfer function approach of the residence time distribution curve. Considering the karstic system as a chemical reactor, the introduction of a transfer function approach appears to be an efficient way to describe the solute transport. Moreover, the transfer function is parametrized depending on the spring discharge. Finally, the model is extended to deal with source pollution scenario testing.

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Section: Calibration Of the Transfer Function Parametersmentioning

confidence: 58%

Section: (12)mentioning

confidence: 98%

Short-term variations in tracer-test responses in a highly karstified watershed

Sivelle

Labat

2019

Hydrogeol J

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“…The effect of short-term variations in discharge on solute transport has been highlighted using a transfer function approach [13]. This constitutes an easily reproducible framework for other systems [49]. Nonetheless, the transfer function approach consists of a systemic approach but does not consider any information about the internal structure of the aquifer.…”

Section: Study Site and Field Datamentioning

confidence: 99%

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

Sivelle

Renard

Labat

2020

Water

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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.

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“…Solute transport is investigated in various hydrological situations, including low and high water levels, corresponding to "dry" and "rainy" periods. The primary objectives of these techniques include the exploration of interconnections between multiple locations in karstic watersheds related to travel time and residence time estimations, research into transport mechanisms, mixing and circulation processes, water-rock interactions, and the characterization of aquifer parameters, among other applications [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Artificial tracer tests are also dedicated to defining catchment boundaries or recharge areas, identifying pollution sources, or for identifying post-seismic modification on groundwater flow paths [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Effects of Geometry on Artificial Tracer Dispersion in Synthetic Karst Conduit Networks

Rabah,

Marcoux,

Labat

2023

Water

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This paper presents the modeling results of tracer test simulations performed using COMSOL Multiphysics (version 6.1), a powerful software for multiphysics simulation. The simulations consist of the propagation of artificial tracers injected into different model configurations. This study is based on computational fluid dynamics (CFDs), which allows us to take into consideration the turbulent regime of the water flow in conduits. The objective of this contribution is to identify the relationship between the tracer dynamics and the geometric parameters of synthetic karstic systems via a systematic investigation of the occurrence of dual-peaked breakthrough curves (BTCs) in tracer tests. Various conduit structures were proposed by modifying five key factors: conduit diameter, presence of pools, connection angle between conduits, distance of the outlet from the inlet, and number of branches. The next step will be to confront these computational experiments with real-world tracer test experiments.

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Artificial Tracer Tests Interpretation Using Transfer Function Approach to Study the Norville Karst System

Cited by 3 publications

References 25 publications

Short-term variations in tracer-test responses in a highly karstified watershed

Short-term variations in tracer-test responses in a highly karstified watershed

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

Effects of Geometry on Artificial Tracer Dispersion in Synthetic Karst Conduit Networks

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