2011
DOI: 10.1007/s12665-011-1033-9
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Identification of a karst system’s intrinsic hydrodynamic parameters: upscaling from single springs to the whole aquifer

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Cited by 48 publications
(44 citation statements)
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“…These high values may be explained by structural errors of the model that result in unrealistic calibrated parameter values, in particular possible parameter interactions between their storage capacities and storage coefficients. Since the soil and the vegetation controls the fraction of rain that is lost to evapotranspiration, this high calibrated value might be due to tree roots ranging through the soil into the epikarst (Heilman et al, 2012) or rock debris (Hartmann et al, 2012a). Similar to the epikarst storage constant, the conduit storage constant, K C , is, with its value of 1.1 days, in the range of previous modelling studies (Fleury et al, 2007;Hartmann et al, 2013a).…”
Section: Reliability Of Calibrated Parameters and Model Simulationsmentioning
confidence: 82%
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“…These high values may be explained by structural errors of the model that result in unrealistic calibrated parameter values, in particular possible parameter interactions between their storage capacities and storage coefficients. Since the soil and the vegetation controls the fraction of rain that is lost to evapotranspiration, this high calibrated value might be due to tree roots ranging through the soil into the epikarst (Heilman et al, 2012) or rock debris (Hartmann et al, 2012a). Similar to the epikarst storage constant, the conduit storage constant, K C , is, with its value of 1.1 days, in the range of previous modelling studies (Fleury et al, 2007;Hartmann et al, 2013a).…”
Section: Reliability Of Calibrated Parameters and Model Simulationsmentioning
confidence: 82%
“…1). We obtained the discharge of the entire system with a simple topography-based up-scaling procedure that is described in more detail in Hartmann et al (2012a). Irregular (weekly to monthly) observations of DOC, DIN and SO 2− 4 concentrations are available for precipitation and at weir 1.…”
Section: Available Datamentioning
confidence: 99%
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“…A value of k DEEP = 1.10 -4 day -1 was fixed since recession of karstic springs found in the literature ranged generally between 1.10 -2 and 1.10 -3 day -1 (e.g. Rimmer and Salingar, 2006;Fleury et al, 2007;Trizt et al, 2011;Hartmann et al, 2012a A warm-up period is often used to limit the influence of parameter initialization on model performances. But this kind of approach needs a sufficiently long data set that it is not always possible.…”
Section: Parameterization and Calibration Strategymentioning
confidence: 99%
“…Rimmer and Salingar, 2006;Fleury et al,2007b;Nikolaïdis et al, 2013;Tritz et al, 2011). Furthermore, such conceptual models were improved to simulate solute transport using mixing equations (Charlier et al, 2012;Hartmann, 2012a), showing the ability of lumped approaches to simulate water and mass balances as well as the fluxes dynamics.…”
Section: Introductionmentioning
confidence: 99%