Real Time Water Quality Analysis Framework using Monitoring and Prediction Mechanisms

Water Quality Analysis (WQA) is remaining a crucial task for government officials, especially for countries such as India, owing to the emergence of water related health issues and their causal effects. The analysis of water quality at real time would certainly be helpful to human beings as it would create awareness about the water quality during climatic changes (rain conditions). This paper proposes a real time water quality analytic framework (WQAF) combining the real-time monitoring and prediction mechanisms. WQAF approach monitors water quality parameters at predefined water quality monitoring sites; it predicts the water quality parameter values using prediction algorithms such as Random Forest (RF) or Linear Regression (LR) when monitoring sites are not accessible; and, it utilizes Google Maps for specifying the quality of water at real-time to the user of WQAF. The working model of WQAF approach was experimented at the IoT Cloud research laboratory of IIIT Kottayam. Experimental results revealed the water quality of a chosen location in a google map using measurements or predictions.