Predicting disinfection by-products (DBPs) in supply water within a real water distribution network using an artificial neural network

Predicting disinfection by-products (DBPs) in supply water within a real water distribution network using an artificial neural network

This study develops an artificial neural network (ANN) model using advanced learning algorithm techniques to predict disinfection by-products (DBPs) in supply water. The model is based on real-scale data from the Chattogram water distribution network (WDN), a coastal city in Bangladesh. The research...

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Bibliographic Details
Main Authors: F. Khan, M.F.R. Zuthi, M.S. Rahman, M.A. Akbor, M.D. Hossain, M.N.I. Bhuiyan
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Artificial neural networks
Total trihalomethanes
Water distribution network
Iodide (I-)
Bromide (Br-)
Pipe length
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651325011078
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