Estimation of optimum conditions for cadmium removal from contaminated soil using electro-kinetic remediation

Other Title(s)

تقدير الظروف المثلى لإزالة الكادميوم من التربة الملوثة باستخدام الطريقة الكهروحركية

Author

Husayn, Ahmad Ala

Source

al-Nahrain Journal for Engineering Sciences

Issue

Vol. 20, Issue 5 (31 Dec. 2017), pp.1124-1129, 6 p.

Publisher

Nahrain University College of Engineering

Publication Date

2017-12-31

Country of Publication

Iraq

No. of Pages

6

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Abstract EN

The aim of this laboratory study is to estimate the best initial pH of purging solution for cadmium clean-up from an artificially contaminated soil using electro-kinetic cell.

An efficiency enhancement scheme was employed involving pH control and injection wells as a part of the investigative program.

Seven tests were performed at different pH controlled in the anode, cathode and injection wells start from 2 to 8.

Sandy loam soil was contaminated with cadmium concentration equal to 2000 mg/kg and an initial moisture content equal to 30%.

The duration of remediation was seven days with a potential gradient of 1.2 V/cm.

The experimental results showed that the best removal efficiency was 62.8% at pH=3

American Psychological Association (APA)

Husayn, Ahmad Ala. 2017. Estimation of optimum conditions for cadmium removal from contaminated soil using electro-kinetic remediation. al-Nahrain Journal for Engineering Sciences،Vol. 20, no. 5, pp.1124-1129.
https://search.emarefa.net/detail/BIM-849180

Modern Language Association (MLA)

Husayn, Ahmad Ala. Estimation of optimum conditions for cadmium removal from contaminated soil using electro-kinetic remediation. al-Nahrain Journal for Engineering Sciences Vol. 20, no. 5 (2017), pp.1124-1129.
https://search.emarefa.net/detail/BIM-849180

American Medical Association (AMA)

Husayn, Ahmad Ala. Estimation of optimum conditions for cadmium removal from contaminated soil using electro-kinetic remediation. al-Nahrain Journal for Engineering Sciences. 2017. Vol. 20, no. 5, pp.1124-1129.
https://search.emarefa.net/detail/BIM-849180

Data Type

Journal Articles

Language

English

Notes

Record ID

BIM-849180