Publication detail

Sustainable and optimized values for municipal wastewater: The removal of biological oxygen demand and chemical oxygen demand by various levels of geranular activated carbon- and genetic algorithm-based simulation

Zahmatkesh, Sasan Gholian-Jouybari, Fatemeh Klemes, Jiri Jaromir Bokhari, Awais Hajiaghaei-Keshteli, Mostafa

Original Title

Sustainable and optimized values for municipal wastewater: The removal of biological oxygen demand and chemical oxygen demand by various levels of geranular activated carbon- and genetic algorithm-based simulation

Type

journal article in Web of Science

Language

English

Original Abstract

Municipal wastewater treatment in Mashhad, Iran, became increasingly concerned with removing hazardous organic matter. Granular activated carbon (GAC) units downstream are necessary to minimize chemical oxygen demand (COD) and biological oxygen demand (BOD) concentrations by 80-94% to meet effluent treatment; secondary treatment from municipal wastewater only reduces 47% of residual COD and BOD. This study analyzes different types of GAC for COD and BOD adsorption at different contact times and dosages. The dosage of GACs is 0.15, 0.2, and 0.25, with a surface area of 644.5 m2/g and a suitable size of 14.89 nm. Using and genetic algorithms-artificial neural networks (GA-ANNs), sustainable and optimization values are determined for municipal wastewater. Despite that, it can find solutions to difficult or impossible problems using traditional methods. Another advantage is that GA-ANN can be used to solve problems that have multiple objectives or constraints. They can be used either in conjunction with the biological process or as a tertiary stage after the advanced wastewater treatment process. GAC = 0.25 also confirmed the effectiveness of COD and BOD removal, removing 91% and 93%, respectively.

Keywords

Artificial neural networks; Biological oxygen demand; Chemical oxygen demand; Granular activated carbon; Sustainable and optimization values; Wastewater

Authors

Zahmatkesh, Sasan; Gholian-Jouybari, Fatemeh; Klemes, Jiri Jaromir; Bokhari, Awais; Hajiaghaei-Keshteli, Mostafa

Released

10. 9. 2023

Publisher

ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

Location

ELSEVIER SCI LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Number

417

State

United Kingdom of Great Britain and Northern Ireland

Pages count

14

URL

https://www.sciencedirect.com/science/article/pii/S0959652623020905?via%3Dihub

BibTex

@article{BUT187619,
  author="Zahmatkesh, Sasan and Gholian-Jouybari, Fatemeh and Klemes, Jiri Jaromir and Bokhari, Awais and Hajiaghaei-Keshteli, Mostafa",
  title="Sustainable and optimized values for municipal wastewater: The removal of biological oxygen demand and chemical oxygen demand by various levels of geranular activated carbon- and genetic algorithm-based simulation",
  journal="Journal of Cleaner Production",
  year="2023",
  number="417",
  pages="14",
  doi="10.1016/j.jclepro.2023.137932",
  issn="0959-6526",
  url="https://www.sciencedirect.com/science/article/pii/S0959652623020905?via%3Dihub"
}