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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU150582" target="_blank" >RIV/00216305:26210/23:PU150582 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0959652623020905?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0959652623020905?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jclepro.2023.137932" target="_blank" >10.1016/j.jclepro.2023.137932</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20700 - Environmental engineering

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Cleaner Production

ISSN

0959-6526

e-ISSN

1879-1786

Svazek periodika

neuveden

Číslo periodika v rámci svazku

417

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

„“-„“

Kód UT WoS článku

001049110100001

EID výsledku v databázi Scopus

2-s2.0-85164213579