Assessment Of Surface Water Quality Using Multivariate Statistical Techniques: A Case Study Of The Ooty Lake, Nilgiris, Tamil Nadu

Abstract

Multivariate statistical strategies, along with principal aspect evaluation (pca), factor analysis (fa) and discriminant analysis (da), had been applied for the evaluation of a huge complicated water exceptional information set. The applicability of multivariate gear for the lake watershed control is the major attention of this examine. For this study, the lake water samples had been gathered from the ooty lake for five years (2013 - 2017) in season-wise particularly submit monsoon season (pom), pre monsoon season (prm), southwest monsoon season (swm) and northeast monsoon season (nem). All of the lake water samples were tested for numerous physiochemical parameters in subject and laboratory. The statistical evaluation become performed through the usage of statistical bundle for social technology (spss version 14) software. The correlation evaluation suggests that the calcium positively correlated with different physiochemical parameters in pom season in addition in prm season the parameter like ec and tds had been surprisingly correlated with different parameters. In swm season sodium and chloride and in nem the organic parameters were fairly correlated with all lake water excellent parameters. From the component analysis, the three kinds of pollution are diagnosed in the lake namely domestic wastewater pollutants, agricultural pollutants, and natural pollution. From this evaluation, the herbal relationships among lake water best parameters had been hooked up.