Development of Statistical Relationship for Various Groundwater Quality Parameters

Abstract

Groundwater quality is complex function of its allied and constituents parameters. Such parameters are varied in nature according to the prevailing geohydrology, topography, geological features, natural establishments, water bodies like rivers, ocean and their reactions to groundwater etc. Detailed study of such groundwater quality needs the analytical results of  temporal monitoring of such parameters, however the need of precision in results varies according the scope of research but it is quite obvious to know the tentative  temporal picture of such groundwater quality parameters and it is very tedious, time consuming  and cumbersome task to collect the all groundwater quality parameters for all locations in all seasons and for the long period, therefore in such regard statistics has given an essential tool of regression model to co-relate the groundwater quality parameters under the consideration. Such model or statistical relationship include to focus on Independent and dependent parameters and such methodology allows to measure a single parameter (Independent parameter) on the field during monitoring and concentration of  remaining parameters can be obtained by the feeding the independent variable’s concentration in developed regression relationship, however it is quite possible to variate the field and modeled concentration but the results can be accepted on the base of co-efficient of co-relation among parameters. An attempt is made here for developing the statistical relationship among the groundwater parameters under study considerations (pH, TDS, Hardness, Chlorides, Electrical Conductivity) where TDS is taken as independent variable and various relationships have been developed on the base of TDS.     

Keywords: TDS, Correlation, Chlorides, Hardness, Regression