caa a22 4500 445815310 CHVBK 20180317145226.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10040-011-0772-8 doi (NATIONALLICENCE)springer-10.1007/s10040-011-0772-8 Combination of soil-water balance models and water-table fluctuation methods for evaluation and improvement of groundwater recharge calculations [Elektronische Daten] [Zhang Jie, Jan van Heyden, David Bendel, Roland Barthel] Combinaison de modèles de bilan eau du sol et de fluctuation de nappe pour l'amélioration des calculs d'évaluation de recharge d'aquifère Despite a long history of related research, quantifying and verifying recharge is still a major challenge. The combination and comparison of conceptually different methods has been recommended as a strategy for evaluating recharge estimates. In this article, recharge estimates from water-table fluctuation (WTF) methods are combined with and compared to the results of the spatially and temporally discretized soil-water-balance model PROMET (processes of radiation, mass and energy transfer). As PROMET and WTF methods rely on different measurable variables, a comparison of these two contrasting techniques allows improved assessment of the plausibility of recharge estimates. An enhanced approach to WTF methods is presented. The approach assumes that in the case of no recharge, there exists a maximum possible potential decline for any given groundwater level. The primary conclusion is that WTF methods are excellent for determining the plausibility of spatially distributed regional-groundwater-recharge estimation approaches and for detecting inconsistencies in available models. Recharge estimates derived from WTF approaches alone are, however, not suitable for regional-scale recharge estimation due to (1) their strong dependency on local data, applicability of which is limited to only very specific conditions, and (2) their sensitivity to influences other than recharge. Springer-Verlag, 2011 Groundwater recharge/water budget nationallicence Water-table fluctuation (WTF) method nationallicence Groundwater level time series nationallicence Germany nationallicence Groundwater monitoring nationallicence Jie Zhang Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut van Heyden Jan Bavarian Environment Agency, Lazarettstr. 67, 80636, München, Germany aut Bendel David Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut Barthel Roland Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut Hydrogeology Journal Springer-Verlag 19/8(2011-12-01), 1487-1502 1431-2174 19:8<1487 2011 19 10040 https://doi.org/10.1007/s10040-011-0772-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10040-011-0772-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jie Zhang Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut NATIONALLICENCE 700 1- van Heyden Jan Bavarian Environment Agency, Lazarettstr. 67, 80636, München, Germany aut NATIONALLICENCE 700 1- Bendel David Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut NATIONALLICENCE 700 1- Barthel Roland Institute of Hydraulic Engineering (IWS), Universitaet Stuttgart, Pfaffenwaldring 61, 70569, Stuttgart, Germany aut NATIONALLICENCE 773 0- Hydrogeology Journal Springer-Verlag 19/8(2011-12-01), 1487-1502 1431-2174 19:8<1487 2011 19 10040 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer