2019
DOI: 10.3390/w11091891
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Hydrogeochemical Assessment of Groundwater Quality of Mokopane Area, Limpopo, South Africa Using Statistical Approach

Abstract: Despite being a finite resource, both the quality and quantity of groundwater are under tremendous pressure due to rapid global changes, viz. population growth, land-use/land-cover changes (LULC), and climate change. The 6th Sustainable Development Goal (SDG) aims to “Ensure availability and sustainable management of water and sanitation for all”. One of the most significant dimensions of the SDG agenda is the emphasis on data and governance. However, the lack of good governance coupled with good observed data… Show more

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Cited by 33 publications
(20 citation statements)
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“…30 High values of EC (2230 mho/cm) were observed in the sampling point of Gw2, which is in an agricultural land area and near a village. The enrichment of salts in Gw2 with the EC values of 2230 and 2500 mho/cm during pre-and post-monsoon seasons shows that it falls under the medium salt enrichment class (EC: 1500-3000 mho/cm) [37].…”
Section: Groundwater Quality Evaluation Based On the Characteristics Of Surface Water Sourcesmentioning
confidence: 93%
“…30 High values of EC (2230 mho/cm) were observed in the sampling point of Gw2, which is in an agricultural land area and near a village. The enrichment of salts in Gw2 with the EC values of 2230 and 2500 mho/cm during pre-and post-monsoon seasons shows that it falls under the medium salt enrichment class (EC: 1500-3000 mho/cm) [37].…”
Section: Groundwater Quality Evaluation Based On the Characteristics Of Surface Water Sourcesmentioning
confidence: 93%
“…Previously, several methods have been developed to predict, monitor and assess water quality. These include using hydrogeochemical analysis [14][15][16][17], the use of various quality indexes [2,18,19], using numerical modeling for scenario development [20,21] and using socio-hydrological approaches to assess the nexus between water and human well-being [22]. All these approaches seek to provide a better understanding of the drivers and interlinkages at work, and to help decision makers take evidence-based actions with regard to improved water resource management.…”
Section: Introductionmentioning
confidence: 99%
“…The most readily used modeling methods include numerical, statistical, deterministic, and stochastic models. However, these models have some limitations, such as inadequate competencies and complex structures, and require exhaustive details about the model development [9][10][11][12]. Moreover, these traditional models showed relatively low prediction accuracies and unbalanced forecasts for various levels of water quality.…”
Section: Introductionmentioning
confidence: 99%