Assessment of the Physical and Chemical Potability of Groundwater in Senegal


Authors : FAYE Mamadou; NDOYE Mouhamed; DIOUF Ibrahima; DIOP Mar Codou Guèye

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3QD7DeM

DOI : https://doi.org/10.5281/zenodo.7538003

Abstract : Most of the groundwater in Senegal is not recommended directly for consumption. The diagnosis of groundwater shows that more than 80% of the water withdrawn from different areas of Senegal does not respect the WHO recommendation values. Parameters in excess pose serious health risks, their presence may indicate that the groundwater is poor quality and may be indicative of the existence of other problems that may have harmful effects on health. The main objective of this study is therefore to correlate the physical and chemical parameters of groundwater samples with respect to the different sampling areas and to assess their representativeness. To achieve this objective, we used the method of Principal Component Analysis (PCA) and the Hierarchical Ascending Classification (HAC) of the statistical analysis tool (STATISTICA Application) on the results of physical and chemical analyzes in order to better interpret the different parameters.

Keywords : Physical and Chemical Parameters, Groundwater, Chemometrics, Regions, Principal Component Analysis (PCA), Hierarchical Ascending Classification (HAC).

Most of the groundwater in Senegal is not recommended directly for consumption. The diagnosis of groundwater shows that more than 80% of the water withdrawn from different areas of Senegal does not respect the WHO recommendation values. Parameters in excess pose serious health risks, their presence may indicate that the groundwater is poor quality and may be indicative of the existence of other problems that may have harmful effects on health. The main objective of this study is therefore to correlate the physical and chemical parameters of groundwater samples with respect to the different sampling areas and to assess their representativeness. To achieve this objective, we used the method of Principal Component Analysis (PCA) and the Hierarchical Ascending Classification (HAC) of the statistical analysis tool (STATISTICA Application) on the results of physical and chemical analyzes in order to better interpret the different parameters.

Keywords : Physical and Chemical Parameters, Groundwater, Chemometrics, Regions, Principal Component Analysis (PCA), Hierarchical Ascending Classification (HAC).

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