Smart Sensor-Based Analysis of Turbidity Variations during Waste Water Treatment: A Review
R. Kannan *
Department of Agriculture, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
E. Maheshwar Reddy
CSE, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
R. Govinda Reddy
CSE, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
K. Satya Prakash
CSE, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
R. Lingeshwar
Electronic Computer Engineering, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
R. Janarthanan
Information Technology, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, India.
T. Seenivasa Moorthy
Department of Biotechnology, Kalasalingam Academy of Research and Education (KARE), Krishnankoil-626126, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
Turbidity, a measure of water clarity, serves as a critical indicator of wastewater quality. Turbidity in wastewater is determined by a variety of physical, chemical, and biological factors that impact the concentration and nature of suspended particles. This comprehensive review assesses various methods for measuring turbidity, including nephelometry, spectrophotometry, and transmissometry, examining their respective applications, advantages, and limitations. Additionally, the review discusses key factors that influence turbidity levels, such as industrial effluent, weather events, and the efficiency of treatment processes. Turbidity monitoring is necessary for maximising treatment processes, environmental compliance, and detecting changes in wastewater quality resulting from outside influences. This review not only provides a comprehensive overview of the current state of wastewater management but also highlights key research gaps, including real-time monitoring challenges, sensor development, and the need for advanced correlations with other water quality parameters. Furthermore, it explores future directions in wastewater management, emphasising the importance of environmental compliance and sustainability.
Keywords: Turbidity, nephelometry, spectrophotometry, transmissometry, water quality monitoring, smart sensors