2017
DOI: 10.5194/hess-21-3635-2017
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Assessing lateral flows and solute transport during floods in a conduit-flow-dominated karst system using the inverse problem for the advection–diffusion equation

Abstract: Abstract. The aim of this study is to present a framework that provides new ways to characterize the spatio-temporal variability of lateral exchanges for water flow and solute transport in a karst conduit network during flood events, treating both the diffusive wave equation and the advection–diffusion equation with the same mathematical approach, assuming uniform lateral flow and solute transport. A solution to the inverse problem for the advection–diffusion equations is then applied to data from two successi… Show more

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Cited by 30 publications
(23 citation statements)
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“…At the reach scale (Figure a), net gains are significant during spring runoff (R1 and R2) and constant during base flow (R1). However, similar to the variability of gains and losses found by Cholet et al (), these longer reaches can alternate between gaining and losing conditions (e.g., R2). Such findings highlight the need to understand karst aquifer exchanges over shorter reaches to inform resource management and policy (Rugel et al, ).…”
Section: Discussionsupporting
confidence: 79%
“…At the reach scale (Figure a), net gains are significant during spring runoff (R1 and R2) and constant during base flow (R1). However, similar to the variability of gains and losses found by Cholet et al (), these longer reaches can alternate between gaining and losing conditions (e.g., R2). Such findings highlight the need to understand karst aquifer exchanges over shorter reaches to inform resource management and policy (Rugel et al, ).…”
Section: Discussionsupporting
confidence: 79%
“…Globally, this sensitivity analysis shows that various lateral hydrographs are simulated for different couples of C and D parameters, due to equifinality in the modelling approach. As observed in previous studies (Charlier, Moussa, Cattan, Cabidoche, & Voltz, ; Cholet et al, ; Moussa & Bocquillon, ; Yu, Sombatpanit, Rose, Ciesiolka, & Coughlan, ), C is more sensitive than D , as a variation of C by 4 in our test case generated a same range of lateral peakflow variations as a variation of D by 10,000.…”
Section: Modelling Approachsupporting
confidence: 87%
“…The solution of the inverse problem proposed is part of the hydrological MHYDAS model (Distributed Hydrological Modelling of AgroSystems; Moussa, Voltz, & Andrieux, ). Using this inverse problem for the DWE, we can simulate the global dynamics of lateral flow during floods, which provides information on the hydrological processes involved, such as tracking loss and gain reaches in rivers (Charlier, Moussa, et al, ) or characterizing matrix/conduit relationships through the underground network of a karst aquifer (Cholet, Charlier, Moussa, Steinmann, & Denimal, ); both these publications showed promises in the ability of such models to quantify lateral flow in a karst basin.…”
Section: Introductionmentioning
confidence: 99%
“…Both water and solute models were incorporated into the hydrological models ModSpa (Moussa, ; Moussa, Chahinian, & Bocquillon, ) and MHYDAS (Charlier et al, ; Cholet et al, ; Moussa et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…In order to characterize water and solute dampening, we first calculate dampening ratios based on peak coordinates of time flow curves and time mass curves and that express the decrease of peak amplitude ( RP ) and the increase of peak occurrence time ( RT ) between the input and output curves. Then, in order to simulate the experimental data, we use a solute transport model coupling the diffusive wave equation (DWE) with lateral flow for water transfer and the advection–diffusion equation (ADE) for solute transport, both developed in the ModSpa and MHYDAS models (Moussa, ; Moussa, Voltz, & Andrieux, ; Moussa, Chahinian, & Bocquillon, ; Cholet, Charlier, Moussa, Steinmann, & Denimal, ; Moussa & Majdalani, ).…”
Section: Introductionmentioning
confidence: 99%