L’INTERET DES METHODES D’ANALYSES STATISTIQUES DANS LA GESTION DU SUIVI DE LA QUALITE PHYSICOCHIMIQUE DE L’EAU DE LA RIVE DROITE DU FLEUVE SENEGAL

Abstract

In order to better understand and manage the quality of surface water, is often undertaking long and tedious analysis campaigns. These usually generate enough data whose interpretation is not always easy. Application of Principal Component Analysis (PCA) for such a task could be beneficial . It is in the context of such an application as 26 physico-chemical parameters: The potential hydrogen (pH) , electrical conductivity (EC), total dissolved solids (TDS), temperature (T°), turbidity (Turb) Total Hardness (TH), bicarbonate (HCO3 -), sulfate (SO4 2-), nitrate (NO3 -), nitrite (NO2 -), chloride (Cl-), orthophosphate (PO4 3-), sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), oxidizability permanganate (MO) , aluminum (Al) , ammonium (NH4 +), silica (SiO2), zinc (Zn), lead (Pb), copper (Cu), manganese (Mn), iron (Fe) and fluorine (F-), derived from the analysis of water samples collected during the months of June, July, August and September 2012, of eight (8) locations at the right bank of the Senegal River.....