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Research Article

Assessment of some bottled natural mineral waters and spring waters in Algeria using multivariate statistical analysis, hydrogeochemical approaches and water quality index (WQI)

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Received 28 Oct 2022, Accepted 28 Jan 2023, Published online: 19 Feb 2023
 

ABSTRACT

In Algeria, the consumption of mineral waters has grown enormously, indicating that these waters have safe quality for drinking use. The objectives of the present study are to evaluate the physicochemical characteristics of 43 bottled mineral waters and to identify the main hydrogeochemical processes governing water chemistry using a combination of geochemical techniques and multivariate statistical approaches. The results revealed that the abundance order of cations and anions (mg/L) are Ca2+> Na+> Mg2+> K+, HCO3> SO42−> Cl> NO3. In addition, the comparison between the obtained results and World Health Organization (WHO) standards showed that the analysed physicochemical parameters (pH, Na+, Cl, SO42−, NO3) are within the acceptable limits of the World Health Organization (WHO) for drinking except TDS, Ca 2+, Mg2+, K+, HCO3, which exceed the WHO permissible limits in few water samples. Hydrogeochemical types in the study area were Ca2+-HCO3, Ca2+-Mg2+-HCO3, Ca-Mg2+-SO42—Cl-, Na+-HCO3 and Na+-Cltypes, with a low mineral and intermediate mineral contents based on Van der Aa’s classification. The Gibbs plot specifies that almost all samples (93%) fall in water–rock interaction dominance. The major hydrogeochemical processes acting are dissolution of carbonate minerals, ion-exchange mechanisms and silicate weathering. Principal component analysis (PCA) was applied to hydrochemical data of mineral water samples. The results suggest that hydrochemistry in the region is affected not only by geogenic processes but also is impacted by anthropogenic activities. The comparative evaluation of the different water quality indices (WQI) shows that there is a difference between indices values for the same water sample, which may be attributed to the weighting methods, aggregation methods, and the limits of classes used in the calculation of each index. The results from this study can provide the basis for local decision-makers to develop suitable water management strategies and protection against any pollution risk.

Acknowledgments

We would like to thank the editor-in-chief and anonymous reviewers for their suggestions and comments to improve the original version of this manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary data

Supplemental data for this article can be accessed online at https://doi.org/10.1080/03067319.2023.2178911

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

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