A sustainable multi-parametric sensors network topology for river water quality monitoring

The deterioration of water quality due to natural and man-made hazards has affected the life on the Earth. Hence, water quality needs to be monitored regularly. The traditional approaches for monitoring are observed to be more expensive, time consuming with complex infrastructure and are less accurate. Therefore, there is a scope for improvement in monitoring approaches. For the purpose, the paper has presented multi-parametric sensors network topology (MPST). The topology has polyhedron infrastructure to observe the temporal and spatial variations like electrical conductivity, pH, temperature, chloride and dissolved oxygen; in shallow river water. Its main features are energy efficient, in-expensive infrastructure that requires less manpower, sustainable and can cope with varying currents of water. The MPST is tested at Sutlej river, Bassi, Ludhiana in India and the generated results are analyzed on various physical parameters. Further, it is compared with traditional sampling method for the accuracy. From the results, the topology is identified as an economical, scalable and convenient way for river water quality monitoring.