Literature DB >> 33525581

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

Nicolò Barago1, Stefano Covelli1, Mara Mauri2, Sara Oberti di Valnera3, Emanuele Forte1.   

Abstract

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.

Entities:  

Keywords:  electrical resistivity tomography (ERT); environmental contamination; geochemical analyses; ground penetrating radar (GPR); remediation; secondary mining; tailings impoundment; trace metals

Year:  2021        PMID: 33525581      PMCID: PMC7908430          DOI: 10.3390/ijerph18031157

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Residual pollution load of soils impacted by the Aznalcóllar (Spain) mining spill after clean-up operations.

Authors:  E Galán; I González; J C Fernández-Caliani
Journal:  Sci Total Environ       Date:  2002-03-08       Impact factor: 7.963

2.  Predicting spatial distribution of heavy metals in an abandoned phosphogypsum pond combining geochemistry, electrical resistivity tomography and statistical methods.

Authors:  Marco D Vásconez-Maza; Marcos A Martínez-Segura; María C Bueso; Ángel Faz; M Cristina García-Nieto; María Gabarrón; José A Acosta
Journal:  J Hazard Mater       Date:  2019-04-15       Impact factor: 10.588

  2 in total

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