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Adequate supply of fresh and clean drinking water is basic need for all human being on the earth. It is the duty of scientists to test the available water in any locality in and around any area. As a part of society it is a must. The resulting degradation of quality of water in water body creates a condition so that water can not be used for intended beneficial uses including bathing and recreation. The present study is aimed to suggest some effective measures for the river water quality management with correlation studies with the help of statistical regression analysis of ten data points of Gagan river water at Moradabad. The statistical regression analysis has been found to be a highly useful tool for correlating different parameters. Correlation analysis measures the closeness of the relationship between chosen independent and dependent variables. The analysis attempts to establish the nature of the relationship between the variables and thereby provides a mechanism for prediction or forecasting. To find an approach to water quality management through correlation studies between various water quality parameters, the statistical regression analysis for ten data points of Gagan river water of different sites at Moradabad was performed. The comparison of estimated values with W.H.O. standards revealed that water of study area is polluted with reference to a number of physico-chemical parameters studied. Regression analysis suggests that conductivity of river water is an important water quality parameter and it is found to be sigaificantly correlated with eleven parameters namely biological oxygen demand, chloride, free CO2, chemical oxygen demand, pH, phosphate, sulphate, total hardness, total dissolved solids, total solids and total suspended solids out of fifteen water quality parameter studied and it is moderately correlated with other four parameters namely dissolved oxygen, fluoride, magnesium and silica. It may be suggested that Gagan river water quality at Moradabad can be checked effectively by controlling the conductivity of river water. Present study may be treated as one step towards management strategy for lakes. |
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