4.7 Article

Parametrization of groundwater quality of the Quaternary aquifer in N'Djamena (Chad), Lake Chad Basin: application of numerical and multivariate analyses

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 10, 页码 12300-12320

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SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-10622-5

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Numerical index; Multivariate statistics; Parametrization; Quaternary aquifer; N'Djamena; Lake Chad Basin

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The urban groundwater in the Quaternary aquifer of the Lake Chad basin in N'Djamena has been the subject of numerous hydrochemical studies, but the results are often not presented in a way that enables effective decision-making by water quality managers. This study aimed to contribute to improved management of local groundwater resources by evaluating water quality and its suitability for various uses. The research showed that the chemical composition of the groundwater is influenced by both geogenic and anthropogenic factors and their proximity to the Chari-Logone rivers, and highlighted the high spatial variability of groundwater quality in N'Djamena.
The urban groundwater of the Quaternary aquifer of the Lake Chad basin in N'Djamena has been subject to many hydrochemical studies. However, the results are often not presented in a way that enables water quality managers to make an appropriate decisions, which restrict development and poverty reduction efforts. The objective of the present study was to contribute the improved management of the local groundwater resources. A total of 85 groundwater samples were interpreted using hydrochemical techniques associated with integrated numerical indices and multivariate statistical analysis. The hydrochemical results coupled with the relative residence time of water have shown that the chemical composition of these waters is linked to geogenic and anthropogenic factors and to their proximity to the Chari-Logone rivers. These investigations showed that the groundwater quality in N'Djamena is characterized by a high spatial variability. This study also assessed the suitability of groundwater for user needs and identified areas which are more/less favorable for a specific use. The evaluation of water quality and its suitability for human consumption is also a problem of optimizing data acquisition strategy, and this study used the correlation between water quality index (WQI) and electrical conductivity (EC) to orientate future data acquisition strategies. This parametrization can assist the decision makers and water management professionals in evaluating groundwater availability and setting up a robust water quality management plan in areas with similar hydrogeological and climatic conditions.

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