There is gold in them hills: Predicting potential acid mine drainage events through the use of chemometrics

Cozzolino, D, Chandra, S, Roberts, J, Power, A, Rajapaksha, P, Ball, N, Gordon, R and Chapman, J 2018, 'There is gold in them hills: Predicting potential acid mine drainage events through the use of chemometrics', Science of the Total Environment, vol. 619620, pp. 1464-1472.


Document type: Journal Article
Collection: Journal Articles

Title There is gold in them hills: Predicting potential acid mine drainage events through the use of chemometrics
Author(s) Cozzolino, D
Chandra, S
Roberts, J
Power, A
Rajapaksha, P
Ball, N
Gordon, R
Chapman, J
Year 2018
Journal name Science of the Total Environment
Volume number 619620
Start page 1464
End page 1472
Total pages 9
Publisher Elsevier BV
Abstract Disused mines and mining legacy require significant manpower to ameliorate the contaminated environmental surroundings following their disbanding coupled with extraordinary funding to manage these issues. Water (pH, temperature, dissolved oxygen, conductivity, metals, sulphate) and total suspended solids (TSS) quality are environmental parameters that are affected by legacy mining activity and often require monitoring and rapid response if events (e.g. rainfall) occur which might affect the surrounding areas. In this study, we have monitored a famous mine site in Queensland, Australia for a number of water and sediment parameters known to be associated with acid mine drainage. This study performed analysis of water and sediment over three years, as well as rainfall data. Principal component analysis (PCA) and partial least squares (PLS) regression was undertaken to investigate the data obtained. It was found that the use of PCA can predict the effect of year and site on the environmental influence of the abandoned mine site, based on the combination of chemical properties and meteorological data.
Subject Environmental Chemistry (incl. Atmospheric Chemistry)
Keyword(s) Contamination
Mining
Monitoring
Water quality
DOI - identifier 10.1016/j.scitotenv.2017.11.063
Copyright notice © 2017 Elsevier B.V. All rights reserved.
ISSN 0048-9697
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