Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology

Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology Publisher

Yaghmaeian K¹ ; Silva Martinez S² ; Hoseini M³ ; Amiri H¹

Show Affiliations

1. Department of Environmental Health Engineering, Tehran University of Medical Sciences, Tehran, Iran
2. Centro de Investigacion en Ingenieria y Ciencias Aplicadas, Av. Universidad 1001, Col. Chamilpa, Cuernavaca, Mor., Mexico
3. Department of Environmental Health Engineering, School of Public Health, Shiraz University of Medical Sciences, Shiraz, Iran

Source: Desalination and Water Treatment Published:2016

Abstract

Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value > 0.05) which shows good fit to the model. © 2016 Balaban Desalination Publications. All rights reserved.

2. Response Surface Methodology Modeling to Improve Degradation of Chlorpyrifos in Agriculture Runoff Using Tio2 Solar Photocatalytic in a Raceway Pond Reactor, Ecotoxicology and Environmental Safety (2018)

3. Sustainable Technologies for Removal of Arsenic From Water and Wastewater: A Comprehensive Review, Journal of Molecular Liquids (2025)

Experts (# of related papers)

View all Related Experts

Seyed Jamaledin Shataheri (2)

Kamyar Yaghmaeian (2)

Style	Citing Format
MLA	Yaghmaeian K, et al.. "Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology." Desalination and Water Treatment, vol. 57, no. 57, 2016, pp. 27827-27833.
APA	Yaghmaeian K, Silva Martinez S, Hoseini M, Amiri H (2016). Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology. Desalination and Water Treatment, 57(57), 27827-27833.
Chicago	Yaghmaeian K, Silva Martinez S, Hoseini M, Amiri H. "Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology." Desalination and Water Treatment 57, no. 57 (2016): 27827-27833.
Harvard	Yaghmaeian K et al. (2016) 'Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology', Desalination and Water Treatment, 57(57), pp. 27827-27833.
Vancouver	Yaghmaeian K, Silva Martinez S, Hoseini M, Amiri H. Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology. Desalination and Water Treatment. 2016;57(57):27827-27833.
BibTex	@article{ author = {Yaghmaeian K and Silva Martinez S and Hoseini M and Amiri H}, title = {Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology}, journal = {Desalination and Water Treatment}, volume = {57}, number = {57}, pages = {27827-27833}, year = {2016} }
RIS	TY - JOUR AU - Yaghmaeian K AU - Silva Martinez S AU - Hoseini M AU - Amiri H TI - Optimization of As(Iii) Removal in Hard Water by Electrocoagulation Using Central Composite Design With Response Surface Methodology JO - Desalination and Water Treatment VL - 57 IS - 57 SP - 27827 EP - 27833 PY - 2016 ER -

Science Communicator Platform

Authors

Authors Affiliations

Abstract