Articles | Volume 26, issue 22
https://doi.org/10.5194/hess-26-5697-2022
© Author(s) 2022. 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-26-5697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2022
Research article |
| 14 Nov 2022
| 14 Nov 2022
Frequency domain water table fluctuations reveal impacts of intense rainfall and vadose zone thickness on groundwater recharge
Univ. Rennes, CNRS, Geosciences Rennes – UMR 6118, 35000 Rennes, France
Laurent Longuevergne
Univ. Rennes, CNRS, Geosciences Rennes – UMR 6118, 35000 Rennes, France
Jean Marçais
INRAE, UR Riverly, 69625 Villeurbanne, France
Nicolas Lavenant
Univ. Rennes, CNRS, Geosciences Rennes – UMR 6118, 35000 Rennes, France
Olivier Bour
Univ. Rennes, CNRS, Geosciences Rennes – UMR 6118, 35000 Rennes, France
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Cited
17 citations as recorded by crossref.
- Gestion intégrée de l’eau et changements globaux face aux logiques de l’action administrative locale E. Ganivet et al. https://doi.org/10.4000/11pdj
- Spatial heterogeneity and controlling mechanisms of multi-interface groundwater recharge in karst critical zone H. Ren et al. https://doi.org/10.1016/j.jhydrol.2026.134984
- Focus on the nonlinear infiltration process in deep vadose zone Y. He et al. https://doi.org/10.1016/j.earscirev.2024.104719
- Frequency domain‐based analytical solutions for one‐dimensional soil water flow in layered soils J. Zhu et al. https://doi.org/10.1002/vzj2.20372
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Modifying the water table fluctuation method for calculating recharge in sloping aquifers A. Yimam et al. https://doi.org/10.1016/j.ejrh.2023.101325
- MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase M. Massa et al. https://doi.org/10.5194/essd-16-4843-2024
- An innovative methodology for determining origin-based components of the water cycle: Application to the Zanjan alluvial aquifer, Iran M. Naderi https://doi.org/10.1016/j.envc.2025.101347
- A spectral induced polarization instrument using square-wave current injection to track critical zone processes: application to long-term monitoring of a wetland F. Nicollin et al. https://doi.org/10.1093/gji/ggag060
- Modeling Groundwater Recharge Dynamics in the Jewha Watershed Using the WetSpass-M Model under Tropical Conditions S. Beazbih & G. Asfawesen https://doi.org/10.1016/j.htopen.2026.100036
- Explainable deep learning-based simulation for evaluating climate-driven future groundwater level changes in South Korea J. Hwang & K. Lee https://doi.org/10.1016/j.gsd.2025.101541
- GIS-based WetSpass-M modeling for water balance components estimation considering geological conditions in data-limited regions: Case of the Maze-Zenti catchment, Ethiopia Y. Oyda et al. https://doi.org/10.1016/j.jafrearsci.2026.106133
- Variations and controls on groundwater recharge estimated by combining the water-table fluctuation method and Darcy’s law in a loess tableland in China J. Sun et al. https://doi.org/10.1007/s10040-023-02722-6
- An Approximate Time‐Domain Solution for Recharge Propagation Through Thick Unsaturated Zones C. Leão et al. https://doi.org/10.1002/hyp.70581
- A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models H. Eldin Elzain et al. https://doi.org/10.1016/j.jhydrol.2024.131668
- Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones J. Sun et al. https://doi.org/10.1080/02626667.2024.2400208
- Soil moisture as a key predictor for regional groundwater levels: a deep learning study from Brandenburg, Germany M. Eckert & A. Rudolph https://doi.org/10.1088/3033-4942/ae4266
17 citations as recorded by crossref.
- Gestion intégrée de l’eau et changements globaux face aux logiques de l’action administrative locale E. Ganivet et al. https://doi.org/10.4000/11pdj
- Spatial heterogeneity and controlling mechanisms of multi-interface groundwater recharge in karst critical zone H. Ren et al. https://doi.org/10.1016/j.jhydrol.2026.134984
- Focus on the nonlinear infiltration process in deep vadose zone Y. He et al. https://doi.org/10.1016/j.earscirev.2024.104719
- Frequency domain‐based analytical solutions for one‐dimensional soil water flow in layered soils J. Zhu et al. https://doi.org/10.1002/vzj2.20372
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Modifying the water table fluctuation method for calculating recharge in sloping aquifers A. Yimam et al. https://doi.org/10.1016/j.ejrh.2023.101325
- MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase M. Massa et al. https://doi.org/10.5194/essd-16-4843-2024
- An innovative methodology for determining origin-based components of the water cycle: Application to the Zanjan alluvial aquifer, Iran M. Naderi https://doi.org/10.1016/j.envc.2025.101347
- A spectral induced polarization instrument using square-wave current injection to track critical zone processes: application to long-term monitoring of a wetland F. Nicollin et al. https://doi.org/10.1093/gji/ggag060
- Modeling Groundwater Recharge Dynamics in the Jewha Watershed Using the WetSpass-M Model under Tropical Conditions S. Beazbih & G. Asfawesen https://doi.org/10.1016/j.htopen.2026.100036
- Explainable deep learning-based simulation for evaluating climate-driven future groundwater level changes in South Korea J. Hwang & K. Lee https://doi.org/10.1016/j.gsd.2025.101541
- GIS-based WetSpass-M modeling for water balance components estimation considering geological conditions in data-limited regions: Case of the Maze-Zenti catchment, Ethiopia Y. Oyda et al. https://doi.org/10.1016/j.jafrearsci.2026.106133
- Variations and controls on groundwater recharge estimated by combining the water-table fluctuation method and Darcy’s law in a loess tableland in China J. Sun et al. https://doi.org/10.1007/s10040-023-02722-6
- An Approximate Time‐Domain Solution for Recharge Propagation Through Thick Unsaturated Zones C. Leão et al. https://doi.org/10.1002/hyp.70581
- A novel approach to forecast water table rise in arid regions using stacked ensemble machine learning and deep artificial intelligence models H. Eldin Elzain et al. https://doi.org/10.1016/j.jhydrol.2024.131668
- Improving the water table fluctuation method to estimate groundwater recharge below thick vadose zones J. Sun et al. https://doi.org/10.1080/02626667.2024.2400208
- Soil moisture as a key predictor for regional groundwater levels: a deep learning study from Brandenburg, Germany M. Eckert & A. Rudolph https://doi.org/10.1088/3033-4942/ae4266
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
Recharge, defining the renewal rate of groundwater resources, is difficult to estimate at basin scale. Here, recharge variations are inferred from water table variations recorded in boreholes. First, results show that aquifer-scale properties controlling these variations can be inferred from boreholes. Second, groundwater is recharged by both intense and seasonal rainfall. Third, the short-term contribution appears overestimated in recharge models and depends on the unsaturated zone thickness.
Recharge, defining the renewal rate of groundwater resources, is difficult to estimate at basin...
