Present: ارايه پوستري
COI code: ICSAU05_1084
Paper Language: English
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Authors Heavy Metal Extraction by EDTA Washing: Optimization using Central Composite DesignArsalan Rasulifard - M.Sc. Student, Department of Civil Engineering, Urmia University, Urmia, I.R. Iran
Kazem Badv - Professor, Department of Civil Engineering, Urmia University, Urmia, I.R. Iran
Abstract:The occurrences of heavy metal contaminated sites and soils and the need for devising solutions have become global issues of serious concern. Soil washing, one of the few permanent treatment alternatives to remove metal contaminants from soils, requires an evaluation of its efficiency in simultaneously removing different metals. In this study, we employed ethylenediaminetetraacetic acid (EDTA), recognized as the most effective synthetic chelating agent, to extract Pb, Zn, and Cd from polluted soil. We then employed response surface methodology approach using faced centered central composite design for modeling, evaluating and optimizing the influence of EDTA concentration (25–175 mM), pH (4-7) and washing time (30-90 min) on Pb, Zn, and Cd ions extracted into the EDTA solution. The optimization process showed that the extraction efficiencies were 54.4, 44.9, and 82.65 % in Zinc Specialized Industrial Complex soil for Pb, Zn, and Cd, respectively.
Keywords:Soil washing, EDTA, Optimization, Heavy metals, Central composite design
COI code: ICSAU05_1084
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Rasulifard, Arsalan & Kazem Badv, 2017, Heavy Metal Extraction by EDTA Washing: Optimization using Central Composite Design, 5th international congress of structure, architecture and urban development, تهران, دبيرخانه دايمي كنفرانس, https://www.civilica.com/Paper-ICSAU05-ICSAU05_1084.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Rasulifard, Arsalan & Kazem Badv, 2017)
Second and more: (Rasulifard & Badv, 2017)
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Type: state university
Paper No.: 11319
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