Analysis of Different Kinds of Water Pollution in a Delta Region Using Anova
Water Pollution, Delta Region, ANOVA, Water Quality, BOD, Environmental Statistics, Surface Water Quality
Water resources in delta regions face intense pressure from pollution, and the reasons are straightforward: agriculture expands, cities grow, and industries keep cropping up, all adding to the problem. The Cauvery Delta stands out as a prime example—this ecosystem is fragile, constantly dealing with new threats to its water quality. In this study, the spotlight falls on breaking down the main sources of water pollution in the region, using solid statistical techniques to make sense of the data. Researchers pulled water samples reflecting the three primary sources: agricultural runoff, household sewage, and industrial waste. They didn’t stop at just collecting samples—the analysis involved key water quality indicators like pH, Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), and Total Dissolved Solids (TDS). Out of all these, BOD got special attention since it acts as the main signal for organic pollution. The team didn’t just measure these factors; they wanted to see how the numbers stack up across different pollution sources. They used a one-way ANOVA, a statistical tool built for exactly this kind of comparison. The results were clear—pollution levels vary significantly depending on the source, and industrial effluents lead the pack, dumping the largest amount of organic pollutants into the water. These results don’t just add to a stockpile of data; they demonstrate how statistical analysis can play a powerful role in environmental assessment. Ultimately, these insights matter for anyone committed to managing water resources in delta regions. Solid evidence guides better policies and helps communities respond to threats before they spiral out of control.
Registration ID: IJVRA_702457 Published ID: IJVRA2603860
"Analysis of Different Kinds of Water Pollution in a Delta Region Using Anova", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.642-645, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603860.pdf
Paper Reg. ID: IJVRA_702457
Published Paper Id: IJVRA2603860
Research Area: Mathematics All
Country: -, -, India
ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023
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