Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 May 2021
Research article |
| 31 May 2021
| 31 May 2021
Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data
Raoul A. Collenteur
CORRESPONDING AUTHOR
Institute of Earth Sciences, NAWI Graz Geocenter, University of Graz, Heinrichstrasse 26, 8010 Graz, Austria
Mark Bakker
Water Management Department, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, the Netherlands
Gernot Klammler
JR-AquaConSol GMHB, Graz, Austria
Steffen Birk
Institute of Earth Sciences, NAWI Graz Geocenter, University of Graz, Heinrichstrasse 26, 8010 Graz, Austria
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Cited
16 citations as recorded by crossref.
- Application of Time Series Analysis to Estimate Drawdown From Multiple Well Fields D. Brakenhoff et al. 10.3389/feart.2022.907609
- Time series modelling: applications for groundwater control in urban tunnelling E. Stein et al. 10.1007/s10064-023-03419-6
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
- A data-driven approach for modelling Karst spring discharge using transfer function noise models M. Rudolph et al. 10.1007/s12665-023-11012-z
- Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands E. Brakkee et al. 10.5194/hess-26-551-2022
- Importance of measured transpiration fluxes for modelled ecohydrological partitioning in a tropical agroforestry system C. Birkel et al. 10.1016/j.agrformet.2023.109870
- Trend Analyses of Percolation of Atmospheric Precipitation Due to Climate Change: Case Study in Lithuania L. Tripolskaja & A. Kazlauskaitė-Jadzevičė 10.3390/agronomy12081784
- Frequency domain water table fluctuations reveal impacts of intense rainfall and vadose zone thickness on groundwater recharge L. Guillaumot et al. 10.5194/hess-26-5697-2022
- Analysis of nationwide groundwater monitoring networks using lumped-parameter models R. Collenteur et al. 10.1016/j.jhydrol.2023.130120
- Groundwater Recharge from Below under Changing Hydro-Meteorological Conditions in a Forested and Grassland Site of the Great Hungarian Plain A. Szabó et al. 10.3390/f14122328
- Groundwater Sensitivity to Climate Variations Across Australia X. Fan et al. 10.1029/2023WR035036
- Alternative stable states and hydrological regime shifts in a large intermittent river S. Zipper et al. 10.1088/1748-9326/ac7539
- Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada A. Adombi et al. 10.1007/s12665-024-11466-9
- Estimating vadose zone water fluxes from soil water monitoring data: a comprehensive field study in Austria M. Schübl et al. 10.5194/hess-27-1431-2023
- Groundwater Recharge in the Cerrado Biome, Brazil—A Multi-Method Study at Experimental Watershed Scale R. dos Santos et al. 10.3390/w13010020
- Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data R. Collenteur et al. 10.5194/hess-25-2931-2021
14 citations as recorded by crossref.
- Application of Time Series Analysis to Estimate Drawdown From Multiple Well Fields D. Brakenhoff et al. 10.3389/feart.2022.907609
- Time series modelling: applications for groundwater control in urban tunnelling E. Stein et al. 10.1007/s10064-023-03419-6
- Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries M. Jemeļjanova et al. 10.1016/j.ejrh.2023.101416
- A data-driven approach for modelling Karst spring discharge using transfer function noise models M. Rudolph et al. 10.1007/s12665-023-11012-z
- Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands E. Brakkee et al. 10.5194/hess-26-551-2022
- Importance of measured transpiration fluxes for modelled ecohydrological partitioning in a tropical agroforestry system C. Birkel et al. 10.1016/j.agrformet.2023.109870
- Trend Analyses of Percolation of Atmospheric Precipitation Due to Climate Change: Case Study in Lithuania L. Tripolskaja & A. Kazlauskaitė-Jadzevičė 10.3390/agronomy12081784
- Frequency domain water table fluctuations reveal impacts of intense rainfall and vadose zone thickness on groundwater recharge L. Guillaumot et al. 10.5194/hess-26-5697-2022
- Analysis of nationwide groundwater monitoring networks using lumped-parameter models R. Collenteur et al. 10.1016/j.jhydrol.2023.130120
- Groundwater Recharge from Below under Changing Hydro-Meteorological Conditions in a Forested and Grassland Site of the Great Hungarian Plain A. Szabó et al. 10.3390/f14122328
- Groundwater Sensitivity to Climate Variations Across Australia X. Fan et al. 10.1029/2023WR035036
- Alternative stable states and hydrological regime shifts in a large intermittent river S. Zipper et al. 10.1088/1748-9326/ac7539
- Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada A. Adombi et al. 10.1007/s12665-024-11466-9
- Estimating vadose zone water fluxes from soil water monitoring data: a comprehensive field study in Austria M. Schübl et al. 10.5194/hess-27-1431-2023
2 citations as recorded by crossref.
- Groundwater Recharge in the Cerrado Biome, Brazil—A Multi-Method Study at Experimental Watershed Scale R. dos Santos et al. 10.3390/w13010020
- Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data R. Collenteur et al. 10.5194/hess-25-2931-2021
Latest update: 26 Apr 2024
Short summary
This study explores the use of nonlinear transfer function noise (TFN) models to simulate groundwater levels and estimate groundwater recharge from observed groundwater levels. A nonlinear recharge model is implemented in a TFN model to compute the recharge. The estimated recharge rates are shown to be in good agreement with the recharge observed with a lysimeter present at the case study site in Austria. The method can be used to obtain groundwater recharge rates at
sub-yearly timescales.
This study explores the use of nonlinear transfer function noise (TFN) models to simulate...
