Published April 2018 | Version v1
Journal article

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

  • 1. The Agri-Chemistry Group, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, 4701 (Australia)

Description

Highlights: • PCA analysis confirms pollution events of Mount Morgan mine. • High negative loadings were shown in DO and pH. • High pH was attributed to the loadings associated with the mine site. • PCA is a powerful tool to discriminate between a polluted and reference site. 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, conductance, 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2017.11.063

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2017.11.063;
PII
S0048969717331212;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
619
Journal Page Range
p. 1464-1472
ISSN
0048-9697
CODEN
STENDL

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.