Water Quality Parameters Modeling of Thamirabarani River

An extensive water quality analysis of the water quality of the Thamirabarani River located in the Tirunelveli and Thoothukudi districts of Tamil Nadu, India, is conducted. This investigation focuses on 28 exclusive water parameters divided into physical, chemical, and biological parameters, including ammonia, biological oxygen demand, pH, and significant indicators. The dataset utilized for this analysis is sourced from the Tamil Nadu Pollution Control Board. This study employs machine learning algorithms inclusive of prediction and classification algorithms. Multiple-Linear Regression, Polynomial Regression, Elastic Net regression, Support Vector Machine, k-Nearest Neighbors and Random Forest are used to classify the 5 Designated Best Use classes. These algorithms iterate through various combinations of considered water parameters until convergence for providing accurate insights into their interrelationships. The random forest produces 77% accuracy which is high compared to other algorithms. The outcomes of this research hold significance for policymakers and environmentalists, offering valuable insights into the water quality of the Thamirabarani River.