Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3601-2023
© Author(s) 2023. 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-27-3601-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2023
Research article |
| 12 Oct 2023
| 12 Oct 2023
Modelling groundwater recharge, actual evaporation, and transpiration in semi-arid sites of the Lake Chad basin: the role of soil and vegetation in groundwater recharge
Christoph Neukum
CORRESPONDING AUTHOR
Federal Institute for Geosciences and Natural Resources, Department
of Groundwater and Soil, Stilleweg 2, 30655 Hanover, Germany
Angela Morales-Santos
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
Melanie Ronelngar
Federal Institute for Geosciences and Natural Resources at Lake Chad Basin Commission, Rond Point des Armes, Ndjamena, Chad
Aminu Bala
Lake Chad Basin Commission, Rond Point des Armes, Ndjamena, Chad
Sara Vassolo
Federal Institute for Geosciences and Natural Resources, Department
of Groundwater and Soil, Stilleweg 2, 30655 Hanover, Germany
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Cited
15 citations as recorded by crossref.
- Geodetector based statistical and machine learning approach for sustainable water resources within the gunabay watershed in the upper Blue Nile Basin, Ethiopia A. Tegegne & T. Lohani https://doi.org/10.1016/j.geogeo.2025.100424
- Rising threats to groundwater recharge: Adaptive strategies for the Sahel under climate change F. Granata & F. Di Nunno https://doi.org/10.1016/j.gsd.2025.101468
- A novel framework for assessing the joint and relative impacts of precipitation and groundwater on ecological drought processes in Northwest China T. Jiang et al. https://doi.org/10.1002/hyp.15289
- Integration of a Machine-Learning-Derived Parameter into the PML Model for Simulating and Attributing Actual Evapotranspiration and Its Components Y. Wang et al. https://doi.org/10.3390/atmos17070642
- Temporally clustered streamflow events control focused groundwater recharge in drylands G. Rau et al. https://doi.org/10.1088/1748-9326/ae3e01
- Investigating correlative & causal drivers of precipitation-driven groundwater recharge occurrences in southeastern Australia A. Kumar et al. https://doi.org/10.1016/j.ejrh.2026.103547
- Cloud computing and global satellite products for potential groundwater recharge estimation: application to the Basin of Mexico E. Guzmán-Hidalgo et al. https://doi.org/10.1007/s40808-026-02930-5
- A narrative synthesis of drivers and pathways of global freshwater scarcity through a multidimensional lens of ecology, economy, and governance A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2026.100825
- Providing context to conflict in the Lake Chad Basin: A quantitative assessment of socioeconomic and environmental influences P. Sogno et al. https://doi.org/10.1016/j.samod.2026.100052
- Shallow groundwater potential mapping and evaluation for climate resilient smallholder irrigation in the Zeway-Shalla Sub-basin, Ethiopia T. Hulluka et al. https://doi.org/10.1016/j.gsd.2024.101367
- Estimating Regional Groundwater Level by Combining Satellite, Model, and Large-Sample Observations Inputs Y. Cao et al. https://doi.org/10.3390/rs18101622
- Groundwater on the brink: machine learning forecasts under CMIP6 climate trajectories in Kermanshah Plain K. Soltani et al. https://doi.org/10.1007/s13201-026-02878-y
- Spatial Analysis of Groundwater Potential Zone in Hard-Rock Aquifer in KHDTK (Special Purpose Forest Area) of Universitas Negeri Malang, Blitar Regency F. Masitoh et al. https://doi.org/10.1088/1755-1315/1652/1/012006
- Use of Fly Ash Layer as a Barrier to Prevent Contamination of Rainwater by Contact with Hg-Contaminated Debris R. Rodríguez et al. https://doi.org/10.3390/environments12040107
- Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm A. Elbeltagi et al. https://doi.org/10.1016/j.ejrh.2024.102043
15 citations as recorded by crossref.
- Geodetector based statistical and machine learning approach for sustainable water resources within the gunabay watershed in the upper Blue Nile Basin, Ethiopia A. Tegegne & T. Lohani https://doi.org/10.1016/j.geogeo.2025.100424
- Rising threats to groundwater recharge: Adaptive strategies for the Sahel under climate change F. Granata & F. Di Nunno https://doi.org/10.1016/j.gsd.2025.101468
- A novel framework for assessing the joint and relative impacts of precipitation and groundwater on ecological drought processes in Northwest China T. Jiang et al. https://doi.org/10.1002/hyp.15289
- Integration of a Machine-Learning-Derived Parameter into the PML Model for Simulating and Attributing Actual Evapotranspiration and Its Components Y. Wang et al. https://doi.org/10.3390/atmos17070642
- Temporally clustered streamflow events control focused groundwater recharge in drylands G. Rau et al. https://doi.org/10.1088/1748-9326/ae3e01
- Investigating correlative & causal drivers of precipitation-driven groundwater recharge occurrences in southeastern Australia A. Kumar et al. https://doi.org/10.1016/j.ejrh.2026.103547
- Cloud computing and global satellite products for potential groundwater recharge estimation: application to the Basin of Mexico E. Guzmán-Hidalgo et al. https://doi.org/10.1007/s40808-026-02930-5
- A narrative synthesis of drivers and pathways of global freshwater scarcity through a multidimensional lens of ecology, economy, and governance A. Dwivedi & K. De https://doi.org/10.1016/j.ecohyd.2026.100825
- Providing context to conflict in the Lake Chad Basin: A quantitative assessment of socioeconomic and environmental influences P. Sogno et al. https://doi.org/10.1016/j.samod.2026.100052
- Shallow groundwater potential mapping and evaluation for climate resilient smallholder irrigation in the Zeway-Shalla Sub-basin, Ethiopia T. Hulluka et al. https://doi.org/10.1016/j.gsd.2024.101367
- Estimating Regional Groundwater Level by Combining Satellite, Model, and Large-Sample Observations Inputs Y. Cao et al. https://doi.org/10.3390/rs18101622
- Groundwater on the brink: machine learning forecasts under CMIP6 climate trajectories in Kermanshah Plain K. Soltani et al. https://doi.org/10.1007/s13201-026-02878-y
- Spatial Analysis of Groundwater Potential Zone in Hard-Rock Aquifer in KHDTK (Special Purpose Forest Area) of Universitas Negeri Malang, Blitar Regency F. Masitoh et al. https://doi.org/10.1088/1755-1315/1652/1/012006
- Use of Fly Ash Layer as a Barrier to Prevent Contamination of Rainwater by Contact with Hg-Contaminated Debris R. Rodríguez et al. https://doi.org/10.3390/environments12040107
- Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm A. Elbeltagi et al. https://doi.org/10.1016/j.ejrh.2024.102043
Saved (final revised paper)
Latest update: 31 Oct 2026
Short summary
A generalized approach that requires limited field data and well-established models is tested for assessing groundwater recharge in the southern Lake Chad basin. E and T coefficients are estimated with the FAO-dual Kc concept at six locations. Measured soil water content and chloride concentrations along vertical soil profiles together with different scenarios for E and T partitioning and a Bayesian calibration approach are used to simulate water flow and chloride transport using Hydrus-1D.
A generalized approach that requires limited field data and well-established models is tested...
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