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Article

Prediction of Trace Metal Distribution in a Tailings Impoundment Using an Integrated Geophysical and Geochemical Approach (Raibl Mine, Pb-Zn Alpine District, Northern Italy)

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Department of Mathematics & Geoscience, University of Trieste, Via Weiss 2, 34128 Trieste, Italy
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Servizio Disciplina Gestione Rifiuti e siti Inquinati, Regione Friuli Venezia Giulia, Via Carducci 6, 34122 Trieste, Italy
3
Servizio Geologico, Regione Friuli Venezia Giulia, Via Sant’Anastasio 3, 34132 Trieste, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Almudena Ordoñez, Rodrigo Alvarez and Eduardo De Miguel
Int. J. Environ. Res. Public Health 2021, 18(3), 1157; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18031157
Received: 31 December 2020 / Revised: 23 January 2021 / Accepted: 25 January 2021 / Published: 28 January 2021
(This article belongs to the Special Issue Mining and the Environment: Challenges and Opportunities)
When mines are decommissioned, tailings piles can act as sources of contamination for decades or even centuries. Tailings, which usually contain high concentrations of metals and trace elements, can be reprocessed for a secondary recovery of valuable elements with an innovative approach to a circular economy. This study offers new results for tailings ponds characterisation and chemical content prediction based on an integrated geophysical-geochemical approach. The study of the Raibl Pb-Zn tailings impoundment was done using bulk chemical analysis on borehole samples, Electrical Resistivity Tomography surveys, and Ground Penetrating Radar measurements. We found valuable and statistically significant correlations between the electrical resistivity of the mining impoundments and the metal distribution, thus providing a practical opportunity to characterise large volumes of metal-bearing tailings. In particular, these results can be useful to aid in the development of environmental monitoring programs for remediation purposes or to implement economic secondary recovery plans. View Full-Text
Keywords: electrical resistivity tomography (ERT); tailings impoundment; trace metals; secondary mining; remediation; ground penetrating radar (GPR); geochemical analyses; environmental contamination electrical resistivity tomography (ERT); tailings impoundment; trace metals; secondary mining; remediation; ground penetrating radar (GPR); geochemical analyses; environmental contamination
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MDPI and ACS Style

Barago, N.; Covelli, S.; Mauri, M.; Oberti di Valnera, S.; Forte, E. Prediction of Trace Metal Distribution in a Tailings Impoundment Using an Integrated Geophysical and Geochemical Approach (Raibl Mine, Pb-Zn Alpine District, Northern Italy). Int. J. Environ. Res. Public Health 2021, 18, 1157. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18031157

AMA Style

Barago N, Covelli S, Mauri M, Oberti di Valnera S, Forte E. Prediction of Trace Metal Distribution in a Tailings Impoundment Using an Integrated Geophysical and Geochemical Approach (Raibl Mine, Pb-Zn Alpine District, Northern Italy). International Journal of Environmental Research and Public Health. 2021; 18(3):1157. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18031157

Chicago/Turabian Style

Barago, Nicolò, Stefano Covelli, Mara Mauri, Sara Oberti di Valnera, and Emanuele Forte. 2021. "Prediction of Trace Metal Distribution in a Tailings Impoundment Using an Integrated Geophysical and Geochemical Approach (Raibl Mine, Pb-Zn Alpine District, Northern Italy)" International Journal of Environmental Research and Public Health 18, no. 3: 1157. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18031157

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