Water Practice and Technology (Apr 2024)

Assessing water quality in North-East Algeria: a comprehensive study using water quality index (WQI) and PCA

  • Fatma Zohra Guenouche,
  • Amina Mesbahi-Salhi,
  • Rachid Zegait,
  • Sana Chouia,
  • Mohamed Tahar Kimour,
  • Zihad Bouslama

DOI
https://doi.org/10.2166/wpt.2024.073
Journal volume & issue
Vol. 19, no. 4
pp. 1232 – 1248

Abstract

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Ensuring high water quality in Algeria, particularly in Annaba, is crucial for the well-being of its population and the sustainable development of its diverse ecosystems. The study focuses on the Cheffia Dam, Oued El Aneb, and Treat boreholes as crucial sources of drinking water. The water quality index (WQI) is used to assess water quality based on various physico-chemical parameters. The research spans from January to December 2021, analyzing 16 parameters, such as temperature, pH, conductivity, turbidity, total hardness, calcium, magnesium, sodium, potassium, chloride, nitrate, sulfate, phosphate, and iron, this results in a total of 36 samples and 576 analyses. Principal component analysis (PCA) is employed to delve into interrelationships between variables, revealing distinct characteristics for each site. This study, the first of its kind, provides a comprehensive 1-year evaluation of water quality in Annaba. The collected data serve as a valuable resource for future water management decisions, highlighting both temporal and spatial variations. The current study indicates that the analysis of water parameters, adherence to standards, and the application of WQI reveal that the water sources are generally good quality throughout the year with excellent water quality in autumn. However, challenges such as elevated turbidity in Cheffia dam water necessitate targeted interventions. HIGHLIGHTS First-of-its-kind assessment of water quality in Annaba, focusing on key water sources.; Seasonal variations highlight excellent water quality in autumn.; Water quality index offers a standardized measure for accessible assessment.; Principal component analysis (PCA) reveals unique characteristics of water sources.; Model for sustainable water management, emphasizing the importance of monitoring and analysis.;

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