Assessment of effective parameters in landfill leachate treatment and optimization of the process using neural network, genetic algorithm and response surface methodology

2017 ◽  
Vol 106 ◽  
pp. 89-103 ◽  
Author(s):  
Nader Biglarijoo ◽  
Seyed Ahmad Mirbagheri ◽  
Majid Bagheri ◽  
Majid Ehteshami
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Landfill Leachate ◽  
Effective Parameters ◽  
Leachate Treatment

Batch growth of Kluyveromyces lactis cells from deproteinized whey: Response surface methodology versus Artificial neural network—Genetic algorithm approach

2016 ◽  
Vol 109 ◽  
pp. 305-311 ◽  
Author(s):  
Fábio Coelho Sampaio ◽  
Tamara Lorena da Conceição Saraiva ◽  
Gabriel Dumont de Lima e Silva ◽  
Janaína Teles de Faria ◽  
Cristiano Grijó Pitangui ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Kluyveromyces Lactis ◽  
Genetic Algorithm Approach ◽  
Artificial Neural ◽  
Batch Growth

A Systematic Review on Fenton Optimization for Leachate Treatment Via Response Surface Methodology from 2005 to 2015

2021 ◽  
Vol 47 (3) ◽  
pp. 409-416
Author(s):  
Larissa Granjeiro Lucena ◽  
Nathália Aquino de Carvalho ◽  
Inalmar Dantas Barbosa Segundo ◽  
Maria Marcella Medeiros Melo ◽  
Arthur Marinho Cahino ◽  
...  
Keyword(s):  
Systematic Review ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Landfill Leachate ◽  
Synergistic Effects ◽  
Molar Ratio ◽  
Fenton Process ◽  
Leachate Treatment ◽  
Variable Content ◽  
Treatment Application

The high polluting potential and variable content of the landfill leachate makes it a significant source of environmental contamination. Advanced oxidation processes (AOPs) such as Fenton process, arises as leachate treatment. Application of response surface methodology (RSM) from previous literatures evaluates the synergistic effects of independent variables to optimize the Fenton process. This paper presents systematic review on articles published from 2005 to 2015 reported on optimum conditions of Fenton treatment landfill leachate treatment using RSM. Papers were selected from different database according to defined inclusion criteria and then, evaluated. The best conditions identified were: pH around 3, [H2O2]/[Fe2+] molar ratio from 2.38 to 24.00, [H2O2]/[CODraw leachate] mass ratio around 1 and reaction time from 30 min to 331.2 min. All models presented R2 > 0.75, indicating a good correlation between the experimental data and the values predicted by the models.

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