10.
Statistical Regression Analysis of Under Ground Water and Quality of
South- West Area of Jaipur City and its Agglomerates
Sonika Sharma, R.C.Chhipa*
Department of chemistry and Centre for Air & Water Modalling, Suresh
Gyan Vihar University, Jaipur-302 025,
Email :
ellwil@yahoo.com, cawm@gyanvihar.org
Abstract:
In this study, the statistical regression
analysis methods is applied to twelve water quality data sets
obtained from the South- West area of Jaipur city and
agglomerates in dry season (April 2010 to May 2010). Total
seven physico–chemical characteristics (Total Dissolved Solids,
Total Hardness, Chloride, Nitrate, Electrical conductivity,
Sodium, and Fluoride ) were analyzed and observed values were
compared with standard values recommended by Indian standard(IS)
. WQI value in this area shows poor water quality due to high
value of TDS and EC. Systematic correlation and regression
study showed significant linear relationship between TDS &EC
(.996). It can be concluded that the Total dissolved solids and
Electrical Conductivity are important physicochemical of
drinking water quality parameters, because they are correlated
with most of the water parameters.
Keywords: Total
Hardness, Total Dissolved Solids, Chloride, Regression equation,
Water Quality Parameter
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