Groundwater chemistry and isotopes reveal vulnerability of granitic aquifer in the White Volta River watershed,West Africa

Bam, Edward; Bansah, Samuel

doi:10.1016/j.apgeochem.2020.104662

Cited by 12 publications

(4 citation statements)

References 116 publications

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“…Previous studies have shown that, while the hydrochemical characteristics of groundwater are affected by natural processes [22][23][24][25] and human activities [26][27][28][29], its governing factors and mechanisms are complex and diverse. Currently, there are various methods for the study of the characteristics and governing factors of groundwater hydrochemistry, such as hydrochemical analysis [30], multivariate statistical analysis [31][32][33][34][35][36], geochemical modeling [37], and a decision tree-based machine learning approach [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

Li,

Liu,

Jiao

et al. 2023

Water

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Uranium extraction through the in situ leaching method stands as a pivotal approach in uranium mining. In an effort to comprehensively assess the repercussions of in situ uranium leaching on groundwater quality, this study collected 12 representative groundwater samples within the Bayan-Uul mining area. The basic statistical characteristics of the water samples showed that the concentrations of SO42− and total dissolved solids (TDS) were relatively high. Through the use of cluster analysis, the water samples were categorized into two distinct clusters. Seven samples from wells W-d, W-u, N01, W10-2, W08-1, W10-1, and W13-1, situated at a considerable distance from the mining area, were grouped together. Conversely, five samples from wells W08-2, W13-2, W01-1, W02-2, and the pumping well located in closer proximity to the mining area, formed a separate cluster. A decision tree-based machine learning approach was employed to discern the influence of various hydrochemical indicators in forming these clusters, with results indicating that SO42− exerts the most substantial influence, followed by Ca2+. The mineral saturation indices from geochemical modeling indicated that, as the distance from the mining area increased, the trend of calcium minerals changed from dissolution to precipitation; iron minerals were in a precipitation state, and the precipitation trend was gradually weakening. In light of these findings, it is clear that in situ uranium leaching significantly impacted the groundwater in the vicinity of the mining area. The prolonged consumption of groundwater sourced near the study area, or its use for animal husbandry, poses potential health risks that demand heightened attention.

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Section: Introductionmentioning

confidence: 99%

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

Li,

Liu,

Jiao

et al. 2023

Water

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“…This is required since groundwater variability could be affected by both climatic and geological factors. The approach would be necessary to reduce groundwater depletion and boost global water and food security [11,12].…”

Section: Introductionmentioning

confidence: 99%

Hydrogeological Analysis of Cretaceous and Tertiary Aquifers in Semiarid Sokoto Basin, Northwestern Nigeria: Implications for Sustainable Groundwater Development

Wali,

Alias,

Harun

et al. 2023

Glob. J. Earth Sci. Eng.

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Groundwater development in arid and semiarid regions is accelerated by expanded irrigation farming, industrialisation, and municipal water supply. This study provides a detailed hydrogeological analysis of sedimentary aquifers of the Sokoto basin, Northwestern Nigeria, for improved water resource development and management. Hydrogeological data, including static water level (Swl), pumping water level (Pwl), pumping test (Pt), and estimated yield (Ey), were analysed. A total of three hundred (300) observations on Swl, Pt, Pwl, Ey, and Hps were derived from boreholes and analysed using Factor analysis (FA) and Regression analysis (RA). Results showed that Gwandu Formation is the most prolific aquifer. Boreholes can yield more than 24000 litres per hour (L/h). This was followed by The Kalambaina limestone aquifer, which has the potential to yield about 15000 (L/h). However, the Taloka Formation is characterised by very poor aquifers in most of the basin, though along the Jega-Dogon Daji axis, boreholes can yield more than 24000 (L/h). Likewise, boreholes tapping the Wurno Formation can produce a maximum yield of 24000 (L/h). Estimated yields from boreholes were less than 1500 (L/h) from the Gundumi aquifer, and the maximum borehole yields were 17760 (L/h) in the Illo aquifer. Statistical modelling showed that all the analysed variables are significant concerning groundwater potentials and variability of borehole yields in the study area. Therefore, future groundwater resource development in the study area should be based on a proper analysis of the geological configurations of the Sokoto basin. This study provides an outlook on the groundwater potentials of the study area and aquifers that can provide a basis for sustainable groundwater development policy. Thus, the study has shown how multivariate and regression analysis can be used to study the hydrogeological conditions of a particular basin. Therefore, it is hoped that this study's findings will inspire other researchers to take a comparable approach.

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“…Particularly in arid and semi-arid areas, groundwater might be the only source of water supply (Konikow et al 2005). However, climate change and human activities have severely affected the quality and ionic composition of groundwater, which has influenced the use of groundwater resources and poses a threat to human health (Bam and Bansah 2020;Ravikumar et al 2011). Therefore, understanding changes in the quality and ionic composition of groundwater, and determining possible pollution sources for the utilization and protection of groundwater resources, are essential.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Hydrochemical Characteristics in a Plain River Network Region: Effects of Dissolved Organic Carbon and Possible Traceability of Pollution Sources

et al. 2021

Preprint

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The chemical composition of groundwater indicates the water quality and provides useful information for identifying pollution sources. The aim of this study was to explore the effects of dissolved organic matter inputs on the ionic composition of groundwater and identify ions that can be used as indicators of pollution sources. Descriptive statistics, a Piper diagram, a Gibbs plot, major ion ratios, and Pearson’s correlation coefficients were used to analyze the chemical data of 40 groundwater samples collected from the shallow aquifer surrounding Lake Taihu. The results showed that the water quality index values of most sampling points were less than 50 (excellent water quality), except for one point in the southeast direction of the lake basin (good water quality). The dominant hydrochemical type of groundwater was Ca–Mg–HCO3 type, and rock dominance was the major mechanism controlling the groundwater chemistry. With an increasing concentration of dissolved organic carbon, the Na+, Mg2+, and HCO3- concentrations all showed a sharp increase followed by a slow increase, while the NO3– concentration initially decreased sharply and then decreased slowly. The K+ concentration was positively correlated with total dissolved nitrogen and phosphorus, nitrate, As, and Cd concentrations (p < 0.05). The Ca2+, Na+, Mg2+, Cl-, HCO3-, and CO32- concentrations were all positively correlated with Pb concentration (p < 0.001). The results indicated that high organic matter inputs can directly or indirectly change the hydrochemical type of groundwater, and K+ can be used as a tracer ion for the sources of As and Cd in groundwater in the study area.

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Groundwater chemistry and isotopes reveal vulnerability of granitic aquifer in the White Volta River watershed,West Africa

Cited by 12 publications

References 116 publications

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

Using Clustering, Geochemical Modeling, and a Decision Tree for the Hydrogeochemical Characterization of Groundwater in an In Situ Leaching Uranium Deposit in Bayan-Uul, Northern China

Hydrogeological Analysis of Cretaceous and Tertiary Aquifers in Semiarid Sokoto Basin, Northwestern Nigeria: Implications for Sustainable Groundwater Development

Groundwater Hydrochemical Characteristics in a Plain River Network Region: Effects of Dissolved Organic Carbon and Possible Traceability of Pollution Sources

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