Empirical modeling of turbidity removal in a dissolved air flotation system: application of artificial neural networks

Empirical modeling of turbidity removal in a dissolved air flotation system: application of artificial neural networks

Dissolved air flotation (DAF) is a physical separation process that uses air microbubbles to remove suspended material dispersed in a liquid phase. Even though DAF is considered a well-established unit operation, modeling it is difficult due to the complexity of the phenomena involved, resulting in...

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Bibliographic Details
Main Authors: Ana Cláudia Oliveira e Souza, Newton Libanio Ferreira, Flávio Vasconcelos da Silva
Format: Article
Language:English
Published: IWA Publishing 2021-11-01
Series:Water Supply
Subjects:
artificial neural networks
dissolved air flotation
process modeling
water treatment
Online Access:http://ws.iwaponline.com/content/21/7/3946

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