Enhancing drinking water safety: Real-time prediction of trihalomethanes in a water distribution system using machine learning and multisensory technology

Enhancing drinking water safety: Real-time prediction of trihalomethanes in a water distribution system using machine learning and multisensory technology

Prolonged exposure to high concentrations of trihalomethanes (THMs) may generate human health risks due to their carcinogenic and mutagenic properties. Therefore, monitoring THMs in drinking water distribution systems (DWDS) is essential. This study focused on the statistical modelling of THMs forma...

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Bibliographic Details
Main Authors: Antonio J. Aragón-Barroso, David Ribes, Francisco Osorio
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Ecotoxicology and Environmental Safety
Subjects:
THMs
Model
Prediction
Monitoring
Multisensory device
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325005792
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