ASSESSMENT OF GROUNDWATER POTENTIAL IN BOSSO AND ADJACENT REGIONS, NIGER STATE, NIGERIA
Abstract:
The insufficient water supply within Bosso Local Government Area of Niger State necessitates a comprehensive investigation into the groundwater potential attributes of the region. This endeavor aims to formulate both an exploration guideline and a sustainable strategy for groundwater management. Thus, this research employs Digital Elevation Model (DEM) techniques to assess groundwater potential mapping within Bosso Local Government Area, located in Niger State, Nigeria. Primary data collection involves field GPS point surveying and photographic documentation. The pivotal dataset for groundwater potential mapping in the study area is derived from the 30m spatial resolution SRTM DEM, acquired from NASA’s LP DAAC. A total of thirty wells, along with their coordinates, were identified for use in the groundwater potential mapping process. The study reveals elevation variations across the area, with the highest point at 452m situated in the northeastern part and the lowest point at 71m in the southwestern part. High elevation regions correspond to low groundwater potential, whereas low elevation regions exhibit moderate to high groundwater potential. Notably, areas such as Bosso, Tudun Fulani, Maitumbi, and Chanchaga, ranging from 257m to 452m, are characterized by low to moderate groundwater potential. Convergence index analysis indicates that 48.37% of the study area falls within the moderate category, 27.1% within the high category, and 24.62% within the low category. The findings highlight that areas like Maikunkele, Beji, and Garatu exhibit very high groundwater potential due to factors such as substantial rainfall, gentle slopes, and prevalent cambisols with notable water retention capacity. Conversely, regions including Bosso central, Maitumbi, and Chanchaga demonstrate very low groundwater potential due to moderate slopes, high drainage density, and predominance of granite with limited groundwater retention. Accurate estimation of subsurface resources is crucial to ensure the effective management and accessibility of water resources.
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