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Impact of source water quality on total organic carbon and trihalomethane removal efficiency in a water treatment plant: A case study of Upper Awash, Ethiopia.
Assefa, Emeru; Jabasingh, Anuradha; Mulugeta, Eyobel; Dessalegne, Meseret; Teju, Endale.
Afiliación
  • Assefa E; Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia E-mail: emeru.assefa@aait.edu.et.
  • Jabasingh A; Chemical and Biochemical Engineering, Addis Ababa University, Addis Ababa, Ethiopia.
  • Mulugeta E; Bio and Emerging Technology Institute, Addis Ababa, Ethiopia.
  • Dessalegne M; Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia.
  • Teju E; Department of Chemistry, College of Natural and Computational Sciences, Haramaya University, Haramaya, Ethiopia.
J Water Health ; 22(2): 337-349, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38421628
ABSTRACT
This study addresses the limited understanding of factors affecting the efficiency of water treatment plants in reducing trihalomethane (THM) formation through total organic carbon (TOC) removal, highlighting significant challenges in improving treatment effectiveness. The aim of this study was to examine the influence of water quality on the efficiency of water treatment plants to remove TOC and reduce THM formation. Linear regression and correlation analyses were conducted to examine the relationship between water quality parameters and THM concentrations. The results showed that there was a negative relationship between turbidity, metals, and TOC concentration with TOC removal efficiency. Positive correlations were found between parameters and the formation of THMs in water. Of these parameters, water temperature was observed to have relatively less influence on THM formation. It was observed that seasonal variations in water quality affect the efficiency of TOC removal and THM content in treated water. THM levels in chlorinated water were found to be within the permissible range of the World Health Organization's drinking water quality guidelines. However, it is still important to maintain continuous monitoring and take measures to reduce THMs. The model demonstrated a strong correlation (R2 = 0.906) between predicted and measured THM values.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tibia / Calidad del Agua / Trihalometanos / Ectromelia País/Región como asunto: Africa Idioma: En Revista: J Water Health Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tibia / Calidad del Agua / Trihalometanos / Ectromelia País/Región como asunto: Africa Idioma: En Revista: J Water Health Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article