WAYS TO OPTIMIZE THE DETERMINATION OF DRINKING WATER QUALITY THROUGH CORRELATION ANALYSIS
DOI:
https://doi.org/10.34132/Keywords:
water, water quality, drinking water, express indicators, correlation analysis, regression equations, hardness, manganese, sulfates, nitrates, nitrites, pH, water pollution, human healthAbstract
Based on the conducted correlation analysis, interdependence has been established between various chemical components and water quality indicators. Specifically, correlations have been identified among the levels of nitrates, nitrites, sulfates, manganese, and the pH of water, as well as their influence on water hardness.
To confirm these dependencies, a comparison of analytical and practical results was carried out. Laboratory studies were utilized to verify the correlation equations derived from the analysis. The obtained results allow the conclusion to be drawn regarding the effectiveness of using the mentioned chemical parameters for predicting water quality.
In perspective, these data could serve as a foundation for developing operational methods for determining indicators of drinking water quality. Such an approach can be employed in creating predictive models that would enhance the monitoring systems for water quality. This is particularly crucial in ensuring the safety and quality of water supply for consumers. These scientific approaches contribute to the improvement of water supply systems and ensuring access to safe drinking water for the population.
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