Volume No. 5 Issue No.: 4 Page No.: 1029-1035 April-June 2011




Gaurav Kumar Rastogi*1 and D. K. Sinha2

1. Department of Applied Science and Humanities, Sunderdeep Engineering College, Ghaziabad (India)
2. Department of Chemistry, KGK College, Moradabad (India)


Received on : January 08, 2011




It is well established fact that clean water is absolutely essential for healthy living. Adequate supply of fresh and clean water is the basic need for all human beings on the earth, yet it has been observed that millions of people world-wide are deprived of this. Water caused health problems are mostly due to inadequate and incompetent management of water resources. A number of water quality physico-chemical parameters were estimated quantitatively in water samples following methods and procedures as per W.H.O. guidelines. Water Quality Index (W.Q.I.) is regarded as one of the most effective way to communicate water quality in a collective way regarding water quality parameters. The WQI of water samples were also calculated. The Statistical Regression Analysis has been found to be highly useful tool for correlating different parameters. To find an approach to water quality management through correlation studies between various water quality parameters, the statistical regression analysis for twelve data points of underground drinking water of different hand pumps at Moradabad, India was carried out in the year 2009. The comparison of estimated values of different water quality parameters with W.H.O. drinking water standards revealed that water of study area is polluted and quality management is needed. Regression Analysis of the data suggests that conductivity of underground water is significantly correlated with all the eighteen water quality parameters studied. The correlation of calculated values of W.Q.I. with conductivity is also found to be significantly correlated. It may be suggested confidently that the underground drinking water quality of study area can be checked effectively by controlling the conductivity of waters. The present study may be treated one step ahead towards the water quality management.


Keywords : Water Quality Index (W.Q.I.), Correlation, Regression equation, Water quality management, Water quality parameter