标题：Application de l’analyse en composantes principales(ACP) pour l’évaluation de la qualité des eaux usées industriellesde Salam Gaz – Skhirat (Application of the principal component analysis (PCA) for the assessment of the wastewater industrial qualityof the Salam Gas – Skhirat),
期刊名称：Journal of Materials and Environmental Science
印刷版ISSN：2028-2508
出版年度：2015
卷号：6
期号：2
页码：455-464
出版社：University of Mohammed Premier Oujda
摘要：In order to better understand and manage the quality of wastewater of Salam Gas, the implementation of the ACP for such a task could be beneficial. It is in view of such an application 10 physic-chemical: Temperature (T) , pH, conductivity (Co nd) , turbidity (Turb) , sulfate ions (SO 4 ) , nitrate ions (NO 3 ) , orthophosphate ions (PO 4 ) , Chemical O xygen Demand (DCO ) , the suspended solids (MES) and biological oxygen demand (DBO 5 ) , and 4 metallic trace elements (ETM) : chromium (Cr), copper (Cu) , lead (Pb) and cadmium (Cd),from the analysis of water samples collected between February and April 2012 on 11 sampling campaigns spread over 4 basins treatments EU were analyzed.For physic-chemical parameters, the factorial plane F1 represents 60.54% of the variance; it is expressed to the positive pole by pH, turbidity, COD, BOD5, TSS content ortho phosphates, sulfates and nitrates which have a good correlation there between. However, the plane F2 represents 13.69%, and is defined by the sulfate ions to the positive pole and the negative pole towards its conductivity. Typological struct ure generated by the F1 XF2 map shows the individualization of three different groups according to their hydro - chemical quality.For ETM, the F1 plan represents 83.78% of the variance and describes the overload of water Pb, Cd, Cr and Cu. The plan F2 represent 14, 66%, it describes the enrichment of waters Pb . Thus, the cluster structure generated by the F1XF2 map shows the individualization of two groups according to their degree of contamination.
关键词：Wastewater; physic;chemical parameters; metallic trace elements; principal compo nent analysis.
