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Assessment and Management of River Water Quality through Statistical Technique : An Approach

Author(s): Navneet Kumar and D. K. Sinha

Fresh and clean water is the substance most essential to human life. Water is a prime natural resource, a basic human need and a precious national asset. 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 thirteen data points of Gagan river water in and around 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. To find an approach to water quality management through correlation studies between various water quality parameters, the statistical regression analysis for thirteen data points of Gagan river water of different sites in and around 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 significantly correlated with ten parameters out of sixteen water quality parameters studied and it is moderately correlated with other five parameters. It may be suggested that Gagan river water quality in and around Moradabad can be checked effectively by controlling the conductivity of river water.

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Citations : 4270

International Journal of Chemical Sciences received 4270 citations as per google scholar report

Indexed In

  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Geneva Foundation for Medical Education and Research

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