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VOL. 6, ISSUE 2 (2024)

Probabilistic analysis of residual chlorine in drinking water

Authors

Abdullah Al- Alfawaz

Abstract

This study aims to analyze the residual chlorine levels in drinking water using probabilistic mathematical methods. By employing statistical models and machine learning algorithms, the study evaluates the spatial and temporal distribution of chlorine concentrations, identifies critical factors influencing residual levels, and provides recommendations for maintaining optimal chlorine concentrations to ensure water safety.

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Pages:52-54

How to cite this article:

Abdullah Al- Alfawaz "Probabilistic analysis of residual chlorine in drinking water". International Journal of Agriculture and Plant Science, Vol 6, Issue 2, 2024, Pages 52-54

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