ASSESSMENT OF WATER QUALITY OF HINDON RIVER IN GHAZIABAD AND NOIDA, INDIA BY USING MULTIVARIATE ....

The Hindon River is a major tributary of the Ganges in western Uttar Pradesh. Due to industrial, municipal, and agricultural operations, the river is extremely polluted. The water quality of the river Hindon is examined in this study utilising multivariate statistical approaches. Pearson correlation, principal component analysis, and cluster analysis were used to analyse water quality data collected from eight distinct monitoring stations. Three primary components emerged via principal component analysis, accounting for 84 percent of the total variation in the data set. Total Dissolved Solids, Total Hardness, and chloride regulate the first factor, which accounts for 36.85% of total variance. The second component, having a substantial positive loading of temperature and pH, accounts for 28.34% of the entire variation, while the third factor, organic pollution, accounts for 19.71% of the total variance. To categorise sampling stations with a particular resemblance, hierarchical cluster analysis was used, which grouped eight separate sites into two clusters. As a result, the current study has aided in identifying the primary components that contribute to water quality, as well as demonstrating the need of multivariate methodologies for water quality data analysis and elucidation.

Please see the link :- https://www.ikprress.org/index.php/JOGEE/article/view/372