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2009
DOI: 10.1016/j.jhydrol.2008.11.037
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Modelling the hydrologic functions of a karst aquifer under active water management – The Lez spring

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Cited by 95 publications
(70 citation statements)
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References 31 publications
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“…To graphically fit the simulated water height to the observed water level, the karst storage was set at 3.6 Â 10 À4 for the January and February 2014 flood events, and at 5.7 Â 10 À4 for the 25th November 2014 flood. The calibrated karst storage value is 10 to 100 fold smaller than the effective porosity given in the literature with a similar method, e.g., for the well documented Lez karst aquifer (France) the value is about 3 Â 10 À3 under withdrawal conditions (Fleury et al, 2009;Mazzilli et al, 2011;Roesch and Jourde, 2006) and Fu et al (2016) found about 3 Â 10 À2 for a small catchment area of 1.14 km 2 in Carboniferous rocks. The water level variation and the dynamic of the floods are well simulated, showing that the Conduit reservoir of the model is able to represent the quickflow through the karst network in the aquifer as observed in the Ragas karst conduit.…”
Section: Yearmentioning
confidence: 70%
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“…To graphically fit the simulated water height to the observed water level, the karst storage was set at 3.6 Â 10 À4 for the January and February 2014 flood events, and at 5.7 Â 10 À4 for the 25th November 2014 flood. The calibrated karst storage value is 10 to 100 fold smaller than the effective porosity given in the literature with a similar method, e.g., for the well documented Lez karst aquifer (France) the value is about 3 Â 10 À3 under withdrawal conditions (Fleury et al, 2009;Mazzilli et al, 2011;Roesch and Jourde, 2006) and Fu et al (2016) found about 3 Â 10 À2 for a small catchment area of 1.14 km 2 in Carboniferous rocks. The water level variation and the dynamic of the floods are well simulated, showing that the Conduit reservoir of the model is able to represent the quickflow through the karst network in the aquifer as observed in the Ragas karst conduit.…”
Section: Yearmentioning
confidence: 70%
“…Other structures also exist: Hartmann et al (2012) tested two lower reservoirs in series, while Arfib and Charlier (2016) added a third reservoir. These models were used to discuss the regional karst groundwater resources (Bakalowicz, 2005;Fleury et al, 2009;Ladouche et al, 2014), as a tool for the identification and quantification of flow (Fleury et al, 2007), to assess the vulnerability (Butscher and Huggenberger, 2008), to estimate the groundwater balance (Jukić and Denić-Jukić, 2009), or for flood hazard (Fleury et al, 2013). The main advantage of lumped models is that they can run even if the observed discharge time series is not complete, which is one of the main limitations of time series analysis.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, groundwater-pumping rates could be adapted to the temporally variable water availability (34). Additionally, temporal variability could be compensated for by artificially recharging aquifers with longer residence times using water discharged from the more heterogeneous regions (35,36).…”
Section: Discussionmentioning
confidence: 99%
“…Lumped karst modelling approaches consider physical processes on the scale of the entire karst system. Although they are strongly simplified, they can include karst peculiarities such as different conduit and matrix systems (Maloszewski et al, 2002;Geyer et al, 2008;Fleury et al, 2009). Since they are easy to implement and do not require spatial information, they are widely used in karst modelling (Jukić and Denić-Jukić, 2009).…”
Section: S Brenner Et Al: Process-based Chalk Groundwater Modellingmentioning
confidence: 99%