Evaluation of groundwater quality using multivariate, parametric and non-parametric statistics, and GWQI in Ibadan, Nigeria
ABSTRACTAn attempt was made to assess the properties of groundwater in the Ibadan Metropolitan area, Nigeria by applying multivariate statistical methods on samples collected from various parts of the study area. Out of all the physio-chemical features of groundwater, the quality is a major concern...
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Veröffentlicht in: | Ulum al-miyah 2023-12, Vol.37 (1), p.117-130 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | ABSTRACTAn attempt was made to assess the properties of groundwater in the Ibadan Metropolitan area, Nigeria by applying multivariate statistical methods on samples collected from various parts of the study area. Out of all the physio-chemical features of groundwater, the quality is a major concern since the long-term progress of groundwater researches in numerous study fields is reliant on the accessibility to high-quality groundwater. Several quantitative methodologies have been successfully used to analyze groundwater hydrochemistry. One other major way to explaining groundwater quality is multivariate statistical analysis, of which hierarchical cluster analysis (HCA) and principal component analysis (PCA) comprise. The Kruskal–Wallis Test, Pearson Correlation, and the Independent Sample Test were employed in assessing water quality. The groundwater quality index was used to examine the suitability of water for ingestion. pH is significantly correlated with Na+ and Ca2+, (0.480 and 0.257), and negatively correlated with Cl− and HCO3_, (−416 and −0.398). TDS levels correlated with K+ concentration levels (0.228). Na+ significantly correlated with Ca2+ and Mg2+ (0.849 and 0.968). pH, EC, magnesium and chloride, were significantly influenced by the lithology (p |
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ISSN: | 2357-0008 2357-0008 |
DOI: | 10.1080/23570008.2023.2221493 |