Quantification of Soil Deep Drainage and Aquifer Recharge Dynamics according to Land Use and Land Cover in the Basement Zone of Burkina Faso in West Africa

• Published in: Sustainability Vol. 14; no. 22; p. 14687
• Main Authors: Kafando, Moussa Bruno, Koïta, Mahamadou, Zouré, Cheick Oumar, Yonaba, Roland, Niang, Dial
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022
• Subjects: Agricultural production; Analysis; Annual rainfall; Anthropogenic factors; Aquatic resources; Aquifers; Artificial recharge; Basements; Burkina Faso; Cereal crops; Climate change; Drainage; Drainage districts; Environment; Floods; Geology; Groundwater; Groundwater recharge; Human influences; Hydrology; Integrated approach; Land cover; Land use; Natural vegetation; Population growth; Soil dynamics; Soil layers; Surface water; Vegetation; Water resources; Water supply; Water table; Water transfer; Water, Underground; Watersheds; Burkina Faso; West Africa
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su142214687

Groundwater is a vital water supply for local populations and ecosystems globally. With the continuous population growth, the anthropic pressure on groundwater is ever increasing, thus reducing the amount of available water resource. Yet, estimating the impact of anthropogenic activities on aquifer recharge is still a significant challenge for research, especially in basement aquifers. This study aims to improve the actual knowledge of deep drainage and deep aquifer recharge pathways and dynamics in the basement as affected by land use/land cover (LULC). The methodology used in this study accounted for hydraulic processes in soil layers within both unsaturated and saturated zones in an integrated approach. An experimental setup consisting of three (3) experimental plots, respectively under natural vegetation (NV), cropped millet (CM) and cropped groundnut (CG) on which deep drainage was monitored during the years 2020 and 2021. The results show significant differences between the LULC types after two years of implementation. Deep drainage is improved under CM and CG plots located in the central valley, as compared to the NV plot located in the ridge zone. Deep drainage is estimated at 8%, 24% and 25% of the annual rainfall, respectively for NV, CM and CG. The ratio between the recharge value obtained by the water table fluctuation (WTF) method and the deep drainage tends to 1 for the CM and CG plots, highlighting a rapid water transfer between unsaturated and saturated zones. The central valley, which seems to be a preferential recharge pathway, provides promising insights under specific conditions for the implementation of artificial recharge infrastructures.