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Predictive empirical modeling of halogenated by-products during raw water pre-chlorination stage: Toward optimized chlorine dosing

Cristina Filomêna Pereira Rosa Paschoalato, Aline Branco de Miranda Lazari, Márcia Maísa de Freitas Afonso, Felipe Alexandre Gonçalves, Guilherme Sgobbi Zagui, Marília Vasconcellos Agnesini, Murilo Daniel de Mello Innocentini, Danilo Vitorino dos Santos, Susana Inés Segura-Muñoz

Research output: Contribution to journalArticlepeer-review

Abstract

Halogenated disinfection by-products (X-DBPs) formed during chlorination pose significant health risks and remain difficult to control during pre-chlorination of raw surface waters. This study presents an empirical polynomial model for predicting X-DBP formation based on three operational parameters: non-purgeable organic carbon (NPOC), chlorine demand (CD), and pH. Raw water from the Pardo River (Brazil) exhibited marked variability, with NPOC ranging from 2.5 to 9.8 mg L−1, pH 7.1–7.5, and required chlorine doses between 5.4 and 12 mg L−1 to maintain 1–2 mg L−1 free residual chlorine. Chloroform, bromodichloromethane, and chloral hydrate were the only X-DBPs consistently detected, with total concentrations from 52 to 487 μg L−1. The model showed strong performance for total X-DBPs (R2 = 0.91, RMSE = 287 μg L−1) and chloral hydrate (R2 = 0.70, RMSE = 58.9 μg L−1), comparable or superior to existing empirical models developed mainly for post-treatment conditions. Maximum allowable chlorine doses (Dmax) were estimated to ensure compliance with guideline limits (10 μg L−1 for CH, 80 μg L−1 for CHCl₃, 100 μg L−1 for THM). Dmax values ranged from 5.2 to 8.5 mg L−1, with doses above 8.5 mg L−1 leading to predicted exceedances. The model provides a practical, field-applicable tool for optimizing chlorine dosing and minimizing toxic by-products during pre-chlorination, particularly in tropical surface waters”.

Original languageEnglish
Article number109425
JournalJournal of Water Process Engineering
Volume81
Early online date30 Dec 2025
DOIs
Publication statusPublished - 31 Jan 2026

Data Availability Statement

Data will be made available on request

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Disinfection by-products
  • Pre-chlorination
  • Predictive model
  • Raw water
  • Trihalomethanes

ASJC Scopus subject areas

  • Biotechnology
  • Safety, Risk, Reliability and Quality
  • Waste Management and Disposal
  • Process Chemistry and Technology

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