Optimization of Fenton process using response surface methodology and analytic hierarchy process for landfill leachate treatment

2016 ◽  
Vol 104 ◽  
pp. 150-160 ◽  
Author(s):  
Nader Biglarijoo ◽  
Seyed Ahmad Mirbagheri ◽  
Majid Ehteshami ◽  
Simin Moavenzadeh Ghaznavi
Keyword(s):  
Response Surface Methodology ◽  
Analytic Hierarchy Process ◽  
Response Surface ◽  
Landfill Leachate ◽  
Fenton Process ◽  
Leachate Treatment ◽  
Analytic Hierarchy ◽  
Hierarchy Process

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.

scholarly journals Response Surface Methodology (RSM)-Based Prediction and Optimization of the Fenton Process in Landfill Leachate Decolorization

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2284
Author(s):  
Anita Maslahati Roudi ◽  
Sultan Salem ◽  
Amin Maslahati ◽  
Muhammad Imran
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Landfill Leachate ◽  
Color Removal ◽  
Ion Concentration ◽  
Treatment Technique ◽  
Fenton Process ◽  
Variable Response ◽  
Leachate Treatment

As an advanced oxidative processes, the Fenton process is receiving popularity as a wastewater treatment technique that can be used for hazardous landfill leachate. The treatment is simple, yet involves complex interactions between the affecting parameters including reaction time, H2O2/Fe2+ ratio, pH, and iron (II) ion concentration. Hence, the purpose of this present study was to analyze the factors affecting landfill leachate treatment as well as their interaction by means of response surface methodology (RSM) with central composite design. The independent variables were reaction time, H2O2/Fe2+ ratio, iron (II) ion concentration, and pH, and the dependent variable (response) was color-removal percentage. The optimum treatment conditions for pH, H2O2/Fe2+ ratio, Fe2+ concentration, and reaction time were 8.36, 3.32, 964.95 mg/L, and 50.15 min, respectively. The model predicted 100% color removal in optimum conditions, which was close to that obtained from the experiment (97.68%). In conclusion, the optimized Fenton process using the RSM approach promotes efficient landfill leachate treatment that is even higher than that already reported.

Sign in / Sign up

Export Citation Format

Share Document