Assessment of Water Pollution in an Industrial Area by Using Multi-Variant Analysis – A Case Study from Bollaram Area,Hyderabad,India

Abstract

A number of chemical and pharmaceutical industries have been established since past three decades. Effluents from these industries are being directly discharged into surrounding land, irrigation fields and surface water bodies thereby contaminating the groundwater table.

Application of different multivariate statistical approaches is used to interpret the relationship between the specific process that control the quality of water in surface and ground water in Bollaram industrial town near Hyderabad (India). Thirteen parameters have been monitored on thirty eight sampling points from a survey conducted in surface and ground water. This data was analysed using statistical analysis (CA). Sr, Ba, Co, Ni and Cr were associated and controlled by mixed origin with similar contribution from anthropogenic and geogenic sources whereas Fe, Mn, As, Pb, Zn, B and Co were derived from anthropogenic activities. Statistical analysis showed good results rendering the three different groups for surface water and two groups for ground water of similarity between the sampling sites reflecting the different water quality parameters of the study area. This correlation identified with the processes of salinity, alkalinity and pollution which are considered as lithologically and non-lithologically controlled factors.