Journal of Environmental Biology

Numerical interdependence in pH, acidity and alkalinity of a polluted river water

 

Shashi¹, J. Singh¹ and Anil K. Dwivedi*²

¹Laboratory of Environmental Chemistry and Complexes, Department of Chemistry, Udai Pratap Autonomous

Post Graduate College, Varanasi - 221 002, India

²Pollution and Environmental Assay Research Laboratory (PEARL), Deptartment of Botany,

D.D.U. Gorakhpur University, Gorakhpur - 273 009, India

(Received: October 02, 2006; Revised received: March 24, 2007; Accepted: April 05, 2007)

 

Abstract: Acidity and alkalinity are independent parameters and they directly or indirectly regulate the pH of a medium. These are the prime factors which control the nature of the reactions in a medium. The present study was designed to explore the numerical interdependence of the three parameters and also, to develop the regression models. For physico-chemical analysis of the selected parameters, water quality of a polluted tropical river was analysed fortnightly, for complete one year. Correlation coefficients between pH-acidity and acidity-alkalinity were negative while that between pH and alkalinity were positive. The value calculated by the developed multiple regression models, explain pH, acidity and alkalinity up to 57, 65 and 79% respectively, suggesting their utility and relevance.

Key words: Pollution, River, pH, Acidity, Alkalinity, Regression model

 

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