Simulation of flow processes in a large scale karst system with an integrated catchment model (Mike She) – Identification of relevant parameters influencing spring discharge

Summary In a complex environment such as karst systems, it is difficult to assess the relative contribution of the different components of the system to the hydrological system response, i.e. spring discharge. Not only is the saturated zone highly heterogeneous due to the presence of highly permeable conduits, but also the recharge processes. The latter are composed of rapid recharge components through shafts and solution channels and diffuse matrix infiltration, generating a highly complex, spatially and temporally variable input signal. The presented study reveals the importance of the compartments vegetation, soils, saturated zone and unsaturated zone. Therefore, the entire water cycle in the catchment area Gallusquelle spring (Southwest Germany) is modelled over a period of 10 years using the integrated hydrological modelling system Mike She by DHI (2007) . Sensitivity analyses show that a few individual parameters, varied within physically plausible ranges, play an important role in reshaping the recessions and peaks of the recharge functions and consequently the spring discharge. Vegetation parameters especially the Leaf Area Index (LAI) and the root depth as well as empirical parameters in the relationship of Kristensen and Jensen highly influence evapotranspiration, transpiration to evaporation ratios and recharge respectively. In the unsaturated zone, the type of the soil (mainly the hydraulic conductivity at saturation in the water retention and hydraulic retention curves) has an effect on the infiltration/evapotranspiration and recharge functions. Additionally in the unsaturated karst, the saturated moisture content is considered as a highly indicative parameter as it significantly affects the peaks and recessions of the recharge curve. At the level of the saturated zone the hydraulic conductivity of the matrix and highly conductive zone representing the conduit are dominant parameters influencing the spring response. Other intermediate significant parameters appear to influence the characteristics of the spring response yet to a smaller extent, as for instance bypass and the parameters α in the Van Genuchten relation for soil moisture content curves.

[1]  D. Ford,et al.  Karst Hydrogeology and Geomorphology , 2007 .

[2]  B. Diekkrüger,et al.  Influence of Soil Heterogeneity and Spatial Discretization on Catchment Water Balance Modeling , 2010 .

[3]  H. Albrechtsen,et al.  Controls on atrazine leaching through a soil-unsaturated fractured limestone sequence at Brévilles, France. , 2006, Journal of contaminant hydrology.

[4]  Peter Strauss,et al.  Evaluation of the MIKE SHE Model for Application in the Loess Plateau, China 1 , 2008 .

[5]  Michael E. Barrett,et al.  Can we simulate regional groundwater flow in a karst system using equivalent porous media models? Case study, Barton Springs Edwards aquifer, USA , 2003 .

[6]  Keith Beven,et al.  A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates , 1979 .

[7]  K. Kristensen,et al.  A MODEL FOR ESTIMATING ACTUAL EVAPOTRANSPIRATION FROM POTENTIAL EVAPOTRANSPIRATION , 1975 .

[8]  T. Atkinson Diffuse flow and conduit flow in limestone terrain in the Mendip Hills, Somerset (Great Britain) , 1977 .

[9]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[10]  J. Perrin,et al.  Epikarst storage in a karst aquifer: a conceptual model based on isotopic data, Milandre test site, Switzerland , 2003 .

[11]  Rudolf Liedl,et al.  Quantification of temporal distribution of recharge in karst systems from spring hydrographs , 2008 .

[12]  M. Sauter Quantification and forecasting of regional groundwater flow and transport in a karst aquifer (Gallusquelle, Malm, SW. Germany) , 1992 .

[13]  T. Reimann,et al.  MODFLOW‐CFP: A New Conduit Flow Process for MODFLOW–2005 , 2009 .

[14]  Rudolf Liedl,et al.  Process‐based interpretation of tracer tests in carbonate aquifers , 2005, Ground water.

[15]  J. Finch Estimating direct groundwater recharge using a simple water balance model – sensitivity to land surface parameters , 1998 .

[16]  L. Király Karstification and groundwater flow , 2003 .

[17]  Chittaranjan Ray,et al.  Calibration and validation of a physically distributed hydrological model, MIKE SHE, to predict streamflow at high frequency in a flashy mountainous Hawaii stream , 2006 .

[18]  K. Straub,et al.  Water quality deterioration at a karst spring (Gallusquelle, Germany) due to combined sewer overflow: evidence of bacterial and micro-pollutant contamination , 2009 .

[19]  H. A. Mooney,et al.  Maximum rooting depth of vegetation types at the global scale , 1996, Oecologia.

[20]  Vedat Batu Aquifer Hydraulics: A Comprehensive Guide to Hydrogeologic Data Analysis , 1998 .

[21]  M. Butts,et al.  Flexible Integrated Watershed Modeling with MIKE SHE , 2005 .

[22]  Damir Jukić,et al.  Groundwater balance estimation in karst by using a conceptual rainfall-runoff model , 2009 .

[23]  William P. Kustas,et al.  INCORPORATING RADIATION INPUTS INTO THE SNOWMELT RUNOFF MODEL , 1996 .

[24]  Gaylon S. Campbell,et al.  A SIMPLE METHOD FOR DETERMINING UNSATURATED CONDUCTIVITY FROM MOISTURE RETENTION DATA , 1974 .