Hydrogeological characterization of crystalline aquifer in the Hout River Catchment, Limpopo province, South Africa

Abiye, Tamiru; Tshipala, Despina; Leketa, Khahliso; Villholth, Karen G.; Ebrahim, Girma Yimer; Magombeyi, M.; Butler, Michael J.

doi:10.1016/j.gsd.2020.100406

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…From the water balance, the annual groundwater recharge can be estimated using Equation (19) in the approach developed by [42]. According to this equation, all water reaching the water table either leaves the catchment as groundwater, flows to the surface, evaporates, or is stored:…”

Section: Estimation Of Annual Rechargementioning

confidence: 99%

Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of Côte d’Ivoire)

et al. 2022

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Determination of groundwater recharge is a major challenge in areas where rainfall is generally abundant. Variability and uncertainty are inherent in the estimation of recharge, and several methods are therefore recommended for its estimation at a regional level. In this study, we evaluated several methods for estimating recharge: the web GIS-based automated hydrological analysis tool (WHAT), water table fluctuation (WTF), hydrograph analyses, a recession curve displacement method, graphical separation, and empirical formulas. The annual recharge estimated by combining direct recharge and base-flow varied from 84 mm in 2019 to 66.4 mm in 2020. The mean direct recharge was about 44 mm in 2018 and 57.3 mm in 2019, representing about 4% and 5% of the respective rainfall. In 2020, this direct recharge was 43 mm, or about 6% of rainfall, around 25% lower than in 2019. Base-flow separation methods and recession curve displacement generally gave low results, whereas modified empirical formulas gave results close to those of the WTF method and were considered more consistent and reasonable. The regression curve displacement method implemented in the United States geologic survey (USGS) RORA program was found to be unsuitable for the study area. However, the other methods presented more reasonable results and could be used to estimate groundwater recharge in the study area.

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Section: Estimation Of Annual Rechargementioning

confidence: 99%

Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of Côte d’Ivoire)

et al. 2022

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“…Furthermore, there is uncertainty over variations in hydraulic conductivity and storage between sites, as well as the potential of structural controls, principally dykes and faults, on the hydrogeology, which could restrict groundwater flow (Ebrahim et al 2019). Therefore, there is potential to have compartmentalised aquifer units (Abiye et al 2020) that are less dynamic within the same broad geological classification.…”

Section: Hydrogeologymentioning

confidence: 99%

“…There are concerns in both catchments regarding the high abstraction of groundwater (Abiye et al 2020;Busari 2008;DWAF 2004;DWS 2015;Masiyandima et al 2002). Abstraction has the potential to introduce downward trends in hydrographs (Oiro et al 2020) and increase autocorrelation (Wendt et al 2020).…”

Section: Abstraction and Land Usementioning

confidence: 99%

The influence of groundwater abstraction on interpreting climate controls and extreme recharge events from well hydrographs in semi-arid South Africa

et al. 2021

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There is a scarcity of long-term groundwater hydrographs from sub-Saharan Africa to investigate groundwater sustainability, processes and controls. This paper presents an analysis of 21 hydrographs from semi-arid South Africa. Hydrographs from 1980 to 2000 were converted to standardised groundwater level indices and rationalised into four types (C1–C4) using hierarchical cluster analysis. Mean hydrographs for each type were cross-correlated with standardised precipitation and streamflow indices. Relationships with the El Niño–Southern Oscillation (ENSO) were also investigated. The four hydrograph types show a transition of autocorrelation over increasing timescales and increasingly subdued responses to rainfall. Type C1 strongly relates to rainfall, responding in most years, whereas C4 notably responds to only a single extreme event in 2000 and has limited relationship with rainfall. Types C2, C3 and C4 have stronger statistical relationships with standardised streamflow than standardised rainfall. C3 and C4 changes are significantly (p < 0.05) correlated to the mean wet season ENSO anomaly, indicating a tendency for substantial or minimal recharge to occur during extreme negative and positive ENSO years, respectively. The range of different hydrograph types, sometimes within only a few kilometres of each other, appears to be a result of abstraction interference and cannot be confidently attributed to variations in climate or hydrogeological setting. It is possible that high groundwater abstraction near C3/C4 sites masks frequent small-scale recharge events observed at C1/C2 sites, resulting in extreme events associated with negative ENSO years being more visible in the time series.

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“…Analysis of water strike and final static water level shows that over 50% of boreholes in the Johannesburg region and Limpopo crystalline belts occur under semi-confined condition, highlighting the control of lithology and structures in the groundwater occurrence in the area [23,[26][27][28]33,[51][52][53]. The borehole yields of the basement aquifers in the Johannesburg region vary between 1.5 to 6.8 l/s, while in the Limpopo crystalline aquifers, the yield varies between 2.1 to 9.5 l/s [52]. This variation was attributed to the occurrence of geological structures such as faults, joints, folds, and dykes that control recharge and groundwater flow.…”

Section: Hydrogeological Characteristics Of the Main Aquifersmentioning

confidence: 99%

An Overview of Aquifer Physiognomies and the δ18O and δ2H Distribution in the South African Groundwaters

2021

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A comprehensive assessment of the stable isotope distribution in the groundwater systems of South Africa was conducted in relation to the diversity in the aquifer lithology and corresponding hydraulic characteristics. The stable isotopes of oxygen (18O) and hydrogen (2H) in groundwater show distinct spatial variation owing to the recharge source and possibly mixing effect in the aquifers with the existing water, where aquifers are characterized by diverse hydraulic conductivity and transmissivity values. When the shallow aquifer that receives direct recharge from rainfall shows a similar isotopic signature, it implies less mixing effect, while in the case of deep groundwater interaction between recharging water and the resident water intensifies, which could change the isotope signature. As aquifer depth increases the effect of mixing tends to be minimal. In most cases, the isotopic composition of recharging water shows depletion in the interior areas and western arid zones which is attributed to the depleted isotopic composition of the moisture source. The variations in the stable isotope composition of groundwater in the region are primarily controlled by the isotope composition of the rainfall, which shows variable isotope composition as it was observed from the local meteoric water lines, in addition to the evaporation, recharge and mixing effects.

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Hydrogeological characterization of crystalline aquifer in the Hout River Catchment, Limpopo province, South Africa

Cited by 9 publications

References 6 publications

Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of Côte d’Ivoire)

Estimation of Groundwater Recharge in the Lobo Catchment (Central-Western Region of Côte d’Ivoire)

The influence of groundwater abstraction on interpreting climate controls and extreme recharge events from well hydrographs in semi-arid South Africa

An Overview of Aquifer Physiognomies and the δ18O and δ2H Distribution in the South African Groundwaters

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