Mapping drinking water contamination in Gazipur City restaurants using WQI and multivariate analysis

Groundwater is a primary drinking water source in many regions of Bangladesh, necessitating continuous monitoring to ensure safety. This study evaluates groundwater quality in Gazipur City by analyzing 173 water samples collected in 2019 from restaurants across 18 zones. Fourteen physicochemical parameters, including pH, turbidity, total dissolved solids (TDS), electrical conductivity (EC), and major ions, were assessed. Hierarchical cluster analysis grouped the zones into three clusters based on water quality similarities. Three water quality index (WQI) models - integrated WQI (IWQI), assigned weight WQI (AWWQI), and weighted arithmetic WQI (WAWQI) - were applied to assess drinking water suitability. The results showed that 31% (IWQI) and 49% (WAWQI) of samples were unsuitable for drinking. Pearson correlation analysis revealed strong positive correlations among TDS, EC, and color, while negative correlations were observed between pH and color, and fluoride and nitrate. Factor analysis identified industrial effluents, agricultural runoff, and rock-water interactions as major contamination sources. Additionally, microbial analysis confirmed bacterial contamination, with 47% of samples contaminated by <i>Escherichia coli</i> and 64% by total coliform. With rapid urbanization and increasing population density, groundwater pollution is likely to worsen. Therefore, effective monitoring and management strategies are essential to ensure the provision of safe drinking water in Gazipur City restaurants.

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Publication Details

Journal
Water Science & Technology
Published
2025-07-01
DOI
https://doi.org/10.2166/wst.2025.094
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
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article

Mapping drinking water contamination in Gazipur City restaurants using WQI and multivariate analysis

Md. Habibur Rahman Bejoy Khan, Amimul Ahsan, Md. Rahadujjaman, Rakibul Hasan et al.
1 links
Water Science & Technology
Water Quality and Pollution Assessment
article

Mapping drinking water contamination in Gazipur City restaurants using WQI and multivariate analysis

Md. Habibur Rahman Bejoy Khan, Amimul Ahsan, Md. Rahadujjaman, Rakibul Hasan, Md. Rezaul Karim, Md Shahriar Hossain
article en

Abstract

Groundwater is a primary drinking water source in many regions of Bangladesh, necessitating continuous monitoring to ensure safety. This study evaluates groundwater quality in Gazipur City by analyzing 173 water samples collected in 2019 from restaurants across 18 zones. Fourteen physicochemical parameters, including pH, turbidity, total dissolved solids (TDS), electrical conductivity (EC), and major ions, were assessed. Hierarchical cluster analysis grouped the zones into three clusters based on water quality similarities. Three water quality index (WQI) models - integrated WQI (IWQI), assigned weight WQI (AWWQI), and weighted arithmetic WQI (WAWQI) - were applied to assess drinking water suitability. The results showed that 31% (IWQI) and 49% (WAWQI) of samples were unsuitable for drinking. Pearson correlation analysis revealed strong positive correlations among TDS, EC, and color, while negative correlations were observed between pH and color, and fluoride and nitrate. Factor analysis identified industrial effluents, agricultural runoff, and rock-water interactions as major contamination sources. Additionally, microbial analysis confirmed bacterial contamination, with 47% of samples contaminated by <i>Escherichia coli</i> and 64% by total coliform. With rapid urbanization and increasing population density, groundwater pollution is likely to worsen. Therefore, effective monitoring and management strategies are essential to ensure the provision of safe drinking water in Gazipur City restaurants.

Water Science & TechnologyVol. 92(1)
Swinburne University of Technology (AU), Islamic University of Technology (BD)
Sustainable cities and communities
Openalex Percentile: Top 84%
Water Quality and Pollution Assessment
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