Predictive models for the formation of emerging disinfection by-products

Argyri Kozari; Voutsa Dimitra

doi:10.1039/d5ew01176k

January 1, 2026Environmental Science Water Research & TechnologyOpen Access

Predictive models for the formation of emerging disinfection by-products

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Key Points

The aim is to develop models that predict the formation of disinfection by-products during water treatment.
Analysis of existing data on disinfection processes
Identification of factors influencing DBP formation
Development of predictive algorithms based on these factors
Identified key variables that significantly contribute to DBP formation
Proposed models demonstrate high predictive accuracy for various water treatment conditions
Findings support improved management of disinfection processes to minimize risks

Implication

Predictive models assess emerging disinfection by-products in drinking water, suggesting risk management strategies.

Abstract

Disinfection is a necessary process during drinking water treatment; however, there is potential risks due to the formation of disinfection by-products (DBPs).

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Cite This Study

Kozari et al. (2026) studied this question.

synapsesocial.com/papers/69cf5d055a333a821460a950 https://doi.org/10.1039/d5ew01176k

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Predictive models for the formation of emerging disinfection by-products

Key Points

Implication

Abstract

Discussion

Cite This Study

Predictive models for the formation of emerging disinfection by-products

Key Points

Implication

Abstract

Discussion

Cite This Study

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