Assessing Variations in Water Quality Parameters: An Analysis of Variance Study for Environmental Monitoring

• Published in: 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) pp. 84 - 89
• Main Authors: Teggi, Pralhad P., N., Harivinod, N., Muralikrishna S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18-10-2024
• Subjects: Analysis of variance; Biochemical oxygen demand; Conductivity; Environmental Management; Lakes; Monsoons; One-Way ANOVA; Oxygen; Pollution; Seasonal Variability; Sustainable development; Turbidity; Vartur Lake; Water Quality Assessment; Water resources
• DOI: 10.1109/DISCOVER62353.2024.10750656

Due to escalating environmental concerns associated with water quality degradation, this study focuses on comprehensively assessing water quality parameters-pH, Turbidity, Conductivity, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Nitrate, and Chloride-collected from Varthur Lake in Bangalore. Using histograms and box plots, we preliminarily explored the changes in various parameters. Subsequently, we conducted an in-depth and detailed seasonal analysis using one-way ANOVA with three seasons (monsoon, winter, and summer) as independent variables and water quality parameters as dependent variables. Our findings underscore significant variations across seasons, elucidating critical insights into the dynamics of water quality fluctuations. Furthermore, the study highlights the importance of water quality assessment in developing environmental management strategies, especially amid growing concerns about water quality deterioration.