Statistical Approach for Water Management in Goa.

Abstract

Water quality is a critical resource for life on Earth, but pollution, climate change, and over-exploitation threaten its quality. A study at Salulim Dam in Goa statistically analysed raw and treated water parameters to determine suitability for human consumption. The results showed better water quality than BIS standards, with seasonal variations in turbidity and pH. However, the monsoon season requires additional treatment to address low pH and high turbidity. The treatment process throughout the year maintained water quality, adhering to BIS standards. Traditional methods of collection and testing were subject to human errors and delays in decision-making. Tools used in this study are descriptive statistics, Canadian Water Quality Index (CCMEWQI),box plots, control charts, ‘t’-statistics and one-way ANOVA . IoT could provide real-time statistical data, enabling informed decisions by policymakers, stakeholders, and the public.