Hemant Pathak*,Deepak Pathak
Sagar Lake located in Sagar city, Madhya Pradesh, India has been subjected to domestic and agricultural wastewater discharges from many decades. An attempt has been made to find the seasonal quality of water in Sagar lake, in order to adopt a statistical model to examine water quality. As a result of eutrophication, quality of lake water has been continuously degraded, this result in increased content of nitrates in soil frequently which leads to undesirable changes in vegetation composition and many plant species. The physicochemical characteristics of water samples from six sampling points during three seasons were analyzed in order to determine the contaminants in lake water. Results were analyzed by using correlation analysis, multi-regression analysis and statistical modeling. The obtained results were compared with water quality standards and standard values recommended by World Health Organization (WHO), and it was found that most of the water samples were highly polluted by sewage. To minimize the complexity and dimensionality of large set of data a Systematic calculation of correlation coefficient between water quality parameters has been applied. The significant correlation has been further verified by using significance level. The results of this study clearly demonstrate the usefulness of multivariate statistical analysis in hydro chemical investigation.
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