Statistical analysis of residual chlorine distribution in Binh Tan District’s water network: insights for urban water management

This study examined the water distribution system in Binh Tan District, Ho Chi Minh City, Vietnam, focusing on residual chlorine levels across seven sampling points. Chlorine decay patterns and relationships between sampling points were investigated using statistical analyses, including reliability testing, correlation analysis, factor analysis and regression modelling. The study identified three principal components that explained 92.558% of the total variance, with strong correlations between specific sampling points. Five regression models were developed, which demonstrated high predictive power (<i>R</i>² ranging from 0.750 to 0.962) and reliability (Cronbach's alpha 0.749-0.967). Hierarchical cluster analysis revealed distinct groupings of sampling points, providing insight into the spatial patterns of chlorine distribution. These findings not only provide insights into water quality management but also offer a transferable modelling framework for optimizing monitoring and chlorination strategies in other urban distribution systems.

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Publication Details

Journal
Royal Society Open Science
Published
2025-08-01
DOI
https://doi.org/10.1098/rsos.251068
Primary Topic
Water Systems and Optimization
Type
article
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article

Statistical analysis of residual chlorine distribution in Binh Tan District’s water network: insights for urban water management

Begmyrat Kulmedov, Erdal Eroǧlu, Nguyen Huy Cuong, Tran Van Loi et al.
Royal Society Open Science
Water Systems and Optimization
article

Statistical analysis of residual chlorine distribution in Binh Tan District’s water network: insights for urban water management

Begmyrat Kulmedov, Erdal Eroǧlu, Nguyen Huy Cuong, Tran Van Loi, Nguyen Hoan Phuong Thy
article en

Abstract

This study examined the water distribution system in Binh Tan District, Ho Chi Minh City, Vietnam, focusing on residual chlorine levels across seven sampling points. Chlorine decay patterns and relationships between sampling points were investigated using statistical analyses, including reliability testing, correlation analysis, factor analysis and regression modelling. The study identified three principal components that explained 92.558% of the total variance, with strong correlations between specific sampling points. Five regression models were developed, which demonstrated high predictive power (<i>R</i>² ranging from 0.750 to 0.962) and reliability (Cronbach's alpha 0.749-0.967). Hierarchical cluster analysis revealed distinct groupings of sampling points, providing insight into the spatial patterns of chlorine distribution. These findings not only provide insights into water quality management but also offer a transferable modelling framework for optimizing monitoring and chlorination strategies in other urban distribution systems.

Royal Society Open ScienceVol. 12(8)
Department of Environment and Natural Resources (PH), Hanoi University of Natural Resources and Environment (VN), Epoka University (AL)
Openalex Percentile: Top 78%
Water Systems and Optimization
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Statistical analysis of residual chlorine distribution in Binh Tan District’s water network: insights for urban water management — Begmyrat Kulmedov, Erdal Eroǧlu, et al. · Royal Society Open Science (2025) | TGRS Research Map | TGRS