Multivariate statistical analysis of heavy metals in ground water - A case study of Bolaram and Patancheru Industrial Area, Andra Pradesh, INDIA.

This paper deals with the multivariate analysis of heavy metals in ground water to find the distribution and sources of these metals in ground water. The concentration of Be, B, V, Cr, Mn, Fe, Ni, Co, Cu, Zn, As, Rb, Sr, Mo, Ag, Cd, Sb, Pb, Ba in ground water of 20 villages which are in close vicinity of Bolaram and Patancheru industrial area were measured by ICP-MS using NIST-6400 standards. Factor analysis was carried using IBM SPSS Statistics 20 software package. Principal component Analysis coupled with correlation Co-efficient analysis were used to analyze the data and to identify possible sources of these heavy metals. For the pre-monsoon ground water 2008 data set, although six factors were extracted, the first three factors account for the approximately 58.7% of the total variance of the data set. For the post-monsoon 2008 ground water data set, the first three factors account for the approximately 60.1% of the total variance of the dataset. The results shows that the factor 1 have high positive loading on Cr, Mo, Cd, Sb, Ba in pre-monsoon 2008 and V, Mn, Zn, As, Pb, Ba in post-monsoon 2008. The high values obtained are an indication of anthropogenic source for these elements in ground water.