The UN Sustainable Development Goals for the millennium will be left incomplete without its focus on water availability and its sustainability in the semi-arid zone of North and Central Africa. While studying about underlying aquifers, it is necessary to map their extent for groundwater usage. For such purpose, surface hydro-geophysical methods are widely used in exploration of groundwater in 8 regions of Niger country. Out of 207 soundings carried out, only 136 Vertical Electrical Sounding data is interpreted here. Rest 71 datasets are not considered as they were very close to each other, within the distance of less than 50 m. Only one dataset from a cluster is selected for analysis. Data was interpreted in real time and was re-interpreted to be more confident about the deliverables. The procedure followed was to start the Clustering of raw datasets. The trend analysis was carried out on the identified clusters, after removing the outlier data from the trend. 1D Forward model was redefined by reducing the error and giving initial value based on the trend of the basic curve, which led to either increase or decrease in the number of layers. This brings out a layer cake model of the area with different depth slices. The lateral and vertical mapping of electrical resistivity of the unsaturated zone (by resistivity variations) allowed us to delineate preferential pathways for deep infiltrations through alluvial sandy fans. Thus, in this study, the usefulness of resistivity mapping for characterizing the geometry of aquifers clearly brings out the potential zones for recharge and the pathways for moisture to travel in the unsaturated zone.
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