Sign inSubmit
ArticleMetrics
Research Article · Open access · Published 24 May 2019

Prediction and Remediation of Water Quality in Monitoring Potential of Acid Mine Drainage

Nur Athirah Mohamad Basir1, Wan Zuhairi Wan Yaacob1, Nuur Hani Mohammed1, Mustapha Atta1 & Nur Aishah Zarime1

American Journal of Engineering and Applied Sciences, Volume 12, Issue 2, pp. 173–184 · doi.org/10.3844/ajeassp.2019.173.184

7,011 accesses4,028 downloads0 citations (Crossref)Metrics
Cite Check for updates

Abstract

Acid Mine Drainage (AMD) associated with both active and abandoned mining operations related to sulfide minerals, oxidation of pyrite affording an acidic solution that contains toxic metal ions. Result shows that pH value of water in Kg. Aur, Chini and Sg. Lembing are acidic with value of 2.81, 4.16 and 3.60 respectively. Maximum concentrations of heavy metals in the study area are: Pb (0.2 mg/L), Cd (0.05 mg/L), Zn (5.1 mg/L), Cu (5.2 mg/L), Mn (10.9 mg/L), Cr (0.2 mg/L), Ni (0.2 mg/L), As (0.005 mg/L) and Fe (202.69 mg/L). Prediction of acid formation using acid-base calculations from all samples shows high potential acid production between 22.84-2500.16 kg CaCO3/tonne. The ratio of Neutralization (NP) with Acid Potential (APP) shows a very low value (ratio<1) Sg. Lembing (0.02), Chini (0.08), Selinsing (0.31) and Kg. Aur (0.81). Analysis from the tank experiment after 30 days shows pH of LFS, bentonite, activated carbon and zeolite change to 6.11, 3.91, 2.98 and 2.71 respectively. Three mine sites experiencing AMD are Kg. Aur, Chini and Sg. Lembing. Active neutralization treatment successfully shows LFS has great potential to control AMD based on their ability to neutralize the pH and remove heavy metals in the mine water. Meanwhile, the second adsorbent material is bentonite followed by activated carbon and zeolite.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Mohamad Basir, N. A., Wan Yaacob, W. Z., Mohammed, N. H., Atta, M. & Zarime, N. A. (2019). Prediction and Remediation of Water Quality in Monitoring Potential of Acid Mine Drainage. American Journal of Engineering and Applied Sciences, 12(2), 173–184. https://doi.org/10.3844/ajeassp.2019.173.184

Licence
CC BY 3.0
Issue
Volume 12, Issue 2
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Prediction and Remediation of Water Quality in Monitoring Potential of Acid Mine DrainageAmerican Journal of Engineering and Applied Sciences · Volume 12, Issue 2 · pp. 173–184 · CC BY 3.0Download