Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Gabriele Fuchs
Section I – Water Management, Division I/3 – Water Resources, Federal Ministry of Agriculture, Forestry, Regions and Water Management, Marxergasse 2, 1030 Vienna, Austria
Christine Stumpp
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
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Total article views: 3,865 (including HTML, PDF, and XML)
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Total article views: 2,672 (including HTML, PDF, and XML)
Thereof 2,660 with geography defined
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Total article views: 1,193 (including HTML, PDF, and XML)
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Estimating groundwater recharge through the unsaturated zone is a difficult task that is fundamentally associated with uncertainties. One of the few methods available is inverse modeling based on soil water measurements. Here, we used a nested sampling algorithm within a Bayesian probabilistic framework to assess model uncertainties at 14 sites in Austria. Further, we analyzed simulated recharge rates to identify factors influencing groundwater recharge rates and their temporal variability.
Estimating groundwater recharge through the unsaturated zone is a difficult task that is...
