ASSESSMENT OF THAMIRABARANI RIVER SEDIMENT CONTAMINATION USING POLLUTION INDICATORS AND MULTIVARIATE STATISTICAL METHODS

The current research was designed to assess degree of sediment contamination by heavy metal in the Thamirabarani River by using pollution indicators and multivariate statistical methods. Between September 2020 and August 2021, seasonal basis sediment samples are collected from five distinct locations and subjected to standardised analysis. These statistical techniques, including Two-way ANOVA, Pearson Correlation Index, PCA and CA., were demonstrated the research. The quality of sediment needs to be better understanding about the statistical methods. Three factors that account for 95.4% of the data’s total variation were found using PCA.The sediment’s heavy metal contamination were distributed in the following sequence Fe > Mn > Cu > Zn > Al > Cd > Ni. The contamination was evaluated pollution indicators method such EF, CF, Igeo and PLI. Estimated EF values show that there is a noticeable enrichment of pollutants in copper (Cu). Therefore, river water can be used for irrigation securely, but it need to go through a lot of processing is necessary before for home uses in order to avoid negative public health effects.