Volume No. 4 Issue No.: 1 Page No.: 83-89 July-Sept 2009

 

STATISTICAL REGRESSION ANALYSIS OF WATER QUALITY PARAMETERS: AN APPROACH TO UNDERGROUND DRINKING WATER QUALITY MANAGEMENT

 

Gaurav Kumar Rastogi*, Anju Saxena1 and D.K. Sinha2

1. Department of Chemistry , Sunder Deep Engg. College, Ghaziabad 201001(INDIA)
2. Department of Chemistry, K.G.K. (P.G.) College, Moradabad 244001 (INDIA)

 

Received on : April 15, 2009

 

ABSTRACT

 

To find an approach to underground drinking water quality management through correlation studies among various water quality physico-chemical parameters, the statistical regression analysis of eight data points of water of different IM2 hand pumps at Moradabad, India was performed. Sixteen water quality parameters of all sites were estimated following standard methodology and comparison of evaluated values with drinking water standards prescribed by W.H.O. revealed that water of study area is contaminated with reference to almost all the physico-chemiacl parameters studied.

Regression analysis of these data points suggests that conductivity of underground water is found to be significantly correlated with thirteen out of fifteen parameters studied and its moderate correlation with rest two parameters namely total suspended solids and iron concentration also can not be overlooked. One may suggest that underground drinking water which is contaminated at Moradabad can be checked effectively by controlling the conductivity of water. Present study may be treated one step ahead towards the underground drinking water quality management.

 

Keywords : Physico-chemical Parameters, Water Contamination, Regression Equations, Correlation, Water Quality Management

 

 

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