Enhancing Water Quality Prediction in West Bengal Using PS-ANN

This paper investigates the application of Pi-Sigma Artificial Neural Networks (PS-ANN), a higher-order neural network model, to predict and monitor water quality in West Bengal, India.Traditional water quality monitoring methods are limited by their dependency on manual sampling and laboratory analysis, which are neither time-efficient nor scalable.By leveraging machine learning, specifically PS-ANN, we aim to improve the accuracy and responsiveness of water quality index (WQI) predictions.Using historical data from the Kharda Canal in North 24 Parganas-a segment within the Ganga River Basin-this study demonstrates how PS-ANN can model complex nonlinear relationships among water quality parameters.Our findings underscore the model's potential to support realtime monitoring and sustainable water resource management in polluted urban water bodies.