TY - JOUR
T1 - Proximal sensor analysis of mine tailings in South Africa: An exploratory study
T2 - An exploratory study
AU - Koch, Jaco
AU - Chakraborty, Somsubhra
AU - Li, Bin
AU - Kucera, Jennifer
AU - Daniell, Angelique
AU - Faul, Cindy
AU - Man, Titus
AU - Pearson, Delaina
AU - Duda, Bogdan
AU - Weindorf, Camille A.
AU - Weindorf, David
AU - Van Deventer, Piet
N1 - Funding Information:
The authors are grateful for financial support from the BL Allen Endowment in Pedology at Texas Tech University which made this research possible.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10
Y1 - 2017/10
N2 - Proximal sensors have rapidly developed in-situ analysis of soil and sediment. Two systems in particular, portable X-ray fluorescence (PXRF) spectrometry and visible near infrared diffuse reflectance spectroscopy (VisNIR DRS), have gained widespread acceptance for agronomic, pedological, and environmental quality assessment, but have scarcely been utilized to investigate mine tailings in South Africa. This study investigated 419 samples across four mines in South Africa using both PXRF and VisNIR DRS. Specifically, the PXRF was used to provide elemental data for comparison to X-ray diffraction (XRD) and energy dispersive X-ray spectroscopy (EDAX) coupled with scanning electron microscopy (SEM) for confirmation of tailings mineralogy. Next, PXRF data was used to model first derivative (1D) VisNIR reflectance spectra. Results revealed many satisfactory calibrations (R2 > 0.70) relative to PXRF analysis with VisNIR DRS predictive models showing fair (RPD 1.4–2.0) to stable, accurate (RPD > 2.0) prediction of multiple elements. Use of better data partitioning methods and considering the target variability is likely to improve model accuracy further. Summarily, this study has established the effectiveness of using VisNIR DRS for the evaluation of mine tailings, justifying further application development with mine-specific models.
AB - Proximal sensors have rapidly developed in-situ analysis of soil and sediment. Two systems in particular, portable X-ray fluorescence (PXRF) spectrometry and visible near infrared diffuse reflectance spectroscopy (VisNIR DRS), have gained widespread acceptance for agronomic, pedological, and environmental quality assessment, but have scarcely been utilized to investigate mine tailings in South Africa. This study investigated 419 samples across four mines in South Africa using both PXRF and VisNIR DRS. Specifically, the PXRF was used to provide elemental data for comparison to X-ray diffraction (XRD) and energy dispersive X-ray spectroscopy (EDAX) coupled with scanning electron microscopy (SEM) for confirmation of tailings mineralogy. Next, PXRF data was used to model first derivative (1D) VisNIR reflectance spectra. Results revealed many satisfactory calibrations (R2 > 0.70) relative to PXRF analysis with VisNIR DRS predictive models showing fair (RPD 1.4–2.0) to stable, accurate (RPD > 2.0) prediction of multiple elements. Use of better data partitioning methods and considering the target variability is likely to improve model accuracy further. Summarily, this study has established the effectiveness of using VisNIR DRS for the evaluation of mine tailings, justifying further application development with mine-specific models.
KW - Mine tailings
KW - Proximal sensors
KW - South Africa
KW - Spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85030460553&partnerID=8YFLogxK
U2 - 10.1016/j.gexplo.2017.06.020
DO - 10.1016/j.gexplo.2017.06.020
M3 - Article
SN - 0375-6742
VL - 181
SP - 45
EP - 57
JO - Journal of Geochemical Exploration
JF - Journal of Geochemical Exploration
ER -