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Groundwater under Basement Complex areas of southern Kebbi has been characterized in order to determine its suitability for drinking and irrigation use. Water samples were drawn from shallow groundwater (hand-dug shallow wells < 5 m) and deep groundwater (boreholes > 40 m). Physical parameters (i.e., temperature, TDS, pH, and EC), were determined in situ, using handheld meters. Discrete water samples were obtained for determination of chemical parameters. Results from severalsample ANOVA (Kruskal-Wallis test) suggested that heterogeneity in water table appeared to exert significant influence on groundwater chemistry which is characterized by a significant difference in pH, EC TH, Na + , Zn 2+ , Mg 2+ , PO 4 3− , Cl − , HCO 3 − , SO 4 2− , and NO 3 − concentrations. Also, ions including Fe 3+ , Zn 2+ , Mg 2+ , Na + , PO 4 3− , and SO 4 2− are above World Health Organization (2011) and National Standard for Drinking Water Quality (2007) reference guidelines. Most of the groundwater sources are moderately hard. Groundwater classification based on chloride, EC, and TDS revealed water of excellent quality for all types of uses. However, groundwater classification based on nitrate pollution revealed water of poor quality. Rock mineral is the major mechanism controlling water chemistry, as revealed by the Gibbs model. Most of the water sources have positive Scholler index, indicative of overall base exchange reactions in the underlying aquifers. Such condition was well explained by Piper trilinear diagram, which revealed two types of faces: Ca-Mg-HCO 3 and Ca-Mg-SO 4-Cl. The HCA categorized wells into three groups according to their hydrogeochemical physiognomies. Despite the significant difference in ions concentration and chemical indices, groundwater composition is more influenced by rock weathering than anthropogenic inputs. Groundwater evaluation for irrigation use indicates a significant difference in SAR level which is related to poor permeability index in shallow groundwater. Higher values of Kelly's index and magnesium adsorption ratio threatened groundwater suitability for irrigation use in the study area.
Groundwater under Basement Complex areas of southern Kebbi has been characterized in order to determine its suitability for drinking and irrigation use. Water samples were drawn from shallow groundwater (hand-dug shallow wells < 5 m) and deep groundwater (boreholes > 40 m). Physical parameters (i.e., temperature, TDS, pH, and EC), were determined in situ, using handheld meters. Discrete water samples were obtained for determination of chemical parameters. Results from severalsample ANOVA (Kruskal-Wallis test) suggested that heterogeneity in water table appeared to exert significant influence on groundwater chemistry which is characterized by a significant difference in pH, EC TH, Na + , Zn 2+ , Mg 2+ , PO 4 3− , Cl − , HCO 3 − , SO 4 2− , and NO 3 − concentrations. Also, ions including Fe 3+ , Zn 2+ , Mg 2+ , Na + , PO 4 3− , and SO 4 2− are above World Health Organization (2011) and National Standard for Drinking Water Quality (2007) reference guidelines. Most of the groundwater sources are moderately hard. Groundwater classification based on chloride, EC, and TDS revealed water of excellent quality for all types of uses. However, groundwater classification based on nitrate pollution revealed water of poor quality. Rock mineral is the major mechanism controlling water chemistry, as revealed by the Gibbs model. Most of the water sources have positive Scholler index, indicative of overall base exchange reactions in the underlying aquifers. Such condition was well explained by Piper trilinear diagram, which revealed two types of faces: Ca-Mg-HCO 3 and Ca-Mg-SO 4-Cl. The HCA categorized wells into three groups according to their hydrogeochemical physiognomies. Despite the significant difference in ions concentration and chemical indices, groundwater composition is more influenced by rock weathering than anthropogenic inputs. Groundwater evaluation for irrigation use indicates a significant difference in SAR level which is related to poor permeability index in shallow groundwater. Higher values of Kelly's index and magnesium adsorption ratio threatened groundwater suitability for irrigation use in the study area.
Background: Geological formation's variability is responsible for spatial distribution and volume of groundwater stored in the aquifer. Groundwater availability is also determined by topography, geology, and climate, accountable for numerous natural surface indicators and groundwater availability. Objective: This paper evaluates the empirical relations between geology and sporadic groundwater levels over three geographical locations in the Sokoto basin by assessing the variability of static water level, pumping test, pumping water level and estimated yields from boreholes. Method: Hydrogeological data comprising of standing water level (Swl), pumping water level (Pwl), pumping test (Pt), and estimated yield (Ey) were derived from 612 boreholes in the Basement complex section (n=103), central Sokoto basin (n=113) and western Sokoto basin (n=396). The result shows that the Swl, Pt, and Ey were higher in the central Sokoto basin, whereas, Pwl was higher in the western Sokoto basin. Multivariate statistical analysis (Factor Analysis) was further applied to analyse the data. Results: Factor analysis indicates that most of the variability in groundwater availability in the western Sokoto basin is explained by Swl and Pwl as contained in Factor 1. Factor 2 revealed that Pt and Ey are responsible for groundwater variability in the central Sokoto basin. Factor 3, connected to the basement complex, explained 12.57%, had no high positive loadings on any hydrogeological variable. It suggests that most groundwater variability in the Sokoto basin is influenced by the Cretaceous and Tertiary sediments. The Hierarchical Cluster Analysis (HCA) revealed three types of aquifers: those aquifers with high Swl and Pwl in western Sokoto basin; those aquifers with high pumping test in the central Sokoto basin, and those aquifers having high yields comparable to the aquifers in both western and central Sokoto basin. Lastly, the general regression model shows that Swl is the significant hydrogeological parameter influencing groundwater levels. Conclusion: Even with the variability in groundwater conditions, the Sokoto basin sits on very rich aquifers to sustain different water supply programs. However, this study presents only a spatial assessment. Therefore, studies comparing groundwater conditions with geology over broader spatial and temporal scales are recommended.
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