Water Quality Analysis by Multivariate Statistical Analysis in Gazipur Industrial Area, Bangladesh

In the study, selected statistical methods (Descriptive Analysis, Pearson Correlation Matrix Analysis, Cluster Analysis and Principal Component Analysis) were used to determine the surface water quality of Gazipur district area. For this purpose, a total of 20 samples has been collected from different water bodies adjacent to industrial units and pH, Temperature, DO, EC, TDS, Cu, Cd, Ni, Zn, Pb concentrations were determined in each sample. Statistical Analysis revealed that physico-chemical parameters exceeded DoE standardin all samples except Cu and Zn. Pearson Correlation matrix explicit significant positive correlation with Electrical Conductivity and Total Dissolved Solid and Cu with Electrical Conductivity, Total Dissolved Solid. Hierarchical Cluster Analysis showed two clusters indicate similar characteristics of elements. Principal Component analysis extracted three major components: PC1 denotes for EC, TDS, Pb, Cu which indicate industrial sources, PC2 is associated with Cd which is also accumulate from industrial sources and PC3 with contribution of Temperature andPb.