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withdrawn from different areas of Senegal does not respect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withdrawn from different areas of Senegal does not respect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).
