Articles | Volume 384
https://doi.org/10.5194/piahs-384-69-2021
© 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/piahs-384-69-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Pre-conference publication
| 
16 Nov 2021
Pre-conference publication |
| 16 Nov 2021
| 16 Nov 2021
Challenges of groundwater pollution and management in transboundary basins at the African scale
Issoufou Ouedraogo
CORRESPONDING AUTHOR
Ecole Supérieure d'Ingénierie (ESI), Université de Fada
N'Gourma, P.O. Box 54, Fada N'Gourma, Burkina Faso
Laboratoire Géosciences et Environnement (LaGE), Ecole Doctorale
Sciences et Technologies, Université Joseph KI-ZERBO, P.O. Box 7021, Ouagadougou, Burkina Faso
Marnik Vanclooster
Earth and Life Institute, Université catholique de Louvain, Croix
du Sud 2, P.O. Box 2, 1348 Louvain-la-Neuve, Belgium
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Short summary
The results of the study have shed light on the pollution problem of groundwater at the pan-African scale. We demonstrated the unambiguous link between population density (urban areas, agricultural activity) and pollution of groundwater. We showed that the machine learning techniques are promising for modelling groundwater degradation at the African scale because of its ability to provide meaningful analysis of nonlinear and complex relationships such as those found in hydrogeological studies.
The results of the study have shed light on the pollution problem of groundwater at the...
