Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network

Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network

The alarming pace of environmental degradation necessitates the treatment of wastewater from the oil industry in order to ensure the long-term sustainability of human civilization. Electrocoagulation has emerged as a promising method for optimizing the removal of chemical oxygen demand (COD) from wa...

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Bibliographic Details
Main Authors: Atef El Jery, Hayder Mahmood Salman, Nadhir Al-Ansari, Saad Sh. Sammen, Mohammed Abdul Jaleel Maktoof, Hussein A. Z. AL-bonsrulah
Format: Article
Language:English
Published: PeerJ Inc. 2023-09-01
Series:PeerJ
Subjects:
Electrochemical
Electrode surface area
Current density
COD
Machine learning
Artificial neural network.
Online Access:https://peerj.com/articles/15852.pdf

Internet

https://peerj.com/articles/15852.pdf

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