Citation
Abstract
The improper disposal of mining tailings is a severe threat to the surrounding environment because it comprises high concentrations of heavy metals contamination. Any precious metal extraction (mining) produces millions of tons of waste; iron ore extraction is common globally, unlike other metal extraction. The iron ore tailings contain heavy metals such as Arsenic (As), Cobalt (Co), Manganese (Mn), Lead (Pb), Copper (Cu), and Zinc (Zn). This study focuses on extracting hazardous metals such as As, Co, Mn, Pb, Cu, and Zn from the disposed waste and improving its geotechnical properties. Nine samples were collected from Tasik Chini Iron ore mine, Pekan district, state of Pahang, Malaysia. The initial data were prepared for elemental analysis by following ICP-OES analysis. The results showed that As, Co, Mn, Pb, Cu, and Zn concentrations exceeded the standard guidelines. The sustainable electrokinetic remediation techniques (EKR) method was applied to extract these metals from iron ore tailings specimens. A comprehensive approach of EKR shows an outstanding result where the highest removal efficiency of As was 68.4 , Co 64.5, Mn 67.8, Pb 67.1, and Cu was 64.1 and Zn 64.9 with the voltage gradient of 100 and 150 V for 4 and 8 hours constantly. Increasing the voltage gradient could be a cost-effective long-term solution for the remediation of iron ore tailings. The existing method was experienced as an effective and green technique for extracting heavy metals and recycling mining waste materials.
Download File
Full text not available from this repository.
Official URL or Download Paper: https://jet.utem.edu.my/jet/article/view/6412
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | Faculty of Forestry and Environment |
Publisher: | Universiti Teknikal Malaysia |
Keywords: | Mining; Metal; Geotechnical; Electrokinetic Remediation Technique; ICP-OES Analysis |
Depositing User: | Ms. Zaimah Saiful Yazan |
Date Deposited: | 04 Sep 2024 04:23 |
Last Modified: | 04 Sep 2024 04:23 |
URI: | http://psasir.upm.edu.my/id/eprint/110181 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |