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Published in: Hydrogeology Journal 8/2009

01-12-2009 | Report

Groundwater recharge rates for regional groundwater modelling: a case study using GROWA in the Lower Rhine lignite mining area, Germany

Authors: Frank Herrmann, Christoph Jahnke, Florian Jenn, Ralf Kunkel, Hans-Jürgen Voigt, Jens Voigt, Frank Wendland

Published in: Hydrogeology Journal | Issue 8/2009

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Abstract

Groundwater recharge rates calculated with the GROWA model have been applied as the recharge boundary condition for the regional groundwater model Rurscholle. This model simulates groundwater dynamics in the Pleistocene aquifers of the Lower Rhine lignite mining area (Germany). GROWA uses an area-differentiated approach to calculate recharge rates depending on runoff-relevant site characteristics, which are represented by a set of baseflow indices. The regional accuracy of the coupled groundwater and GROWA models has been checked using groundwater hydrographs as validation criteria. The results suggest that the current (unadjusted) version of GROWA underestimates the regional groundwater recharge rate by 10–20 mm/yr. The comparative analysis identified areas where recharge calculations could be improved by adjusting the baseflow indices for areas where runoff is dominated by slope, low water-logging and a low degree of sealing. Using the adjusted set of baseflow indices, the mean groundwater recharge rate of the Rurscholle region was modelled as approx. 170 mm/yr. This study highlights the benefit of using a coupled approach and being able to independently calibrate and validate groundwater recharge boundary conditions in regional groundwater models.

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Metadata
Title
Groundwater recharge rates for regional groundwater modelling: a case study using GROWA in the Lower Rhine lignite mining area, Germany
Authors
Frank Herrmann
Christoph Jahnke
Florian Jenn
Ralf Kunkel
Hans-Jürgen Voigt
Jens Voigt
Frank Wendland
Publication date
01-12-2009
Publisher
Springer-Verlag
Published in
Hydrogeology Journal / Issue 8/2009
Print ISSN: 1431-2174
Electronic ISSN: 1435-0157
DOI
https://doi.org/10.1007/s10040-009-0493-4

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