Mining and mineral-processing wastes have been giving a lot of concern in recent times. This paper has evaluated an integrated multidisciplinary strategy for mining waste characterization, their possible recycling and reuse and Critical Raw Materials (CRMs) recovery. After the in situ sampling campaigns, mining wastes have been characterized and the acquired mineralogical, chemical and spectral information have been used to create a map of mining waste deposits by means of the new multispectral satellite Sentinel-2A classification. The use of Fe-Mn rich wastes in arsenic removal and phosphorus recovery from water was discussed. Furthermore, mycorrhizal-assisted phytoextraction of metals from contaminated soils classified as Class 1-2 and 4 by remote sensing showed a good potential for their possible recovery from biomass: roots bioaccumulation coefficients ranged from 0.25-0.27 (Cr, Cu) to 7 (S) and the highest observed translocation factor was 3 (Sr, P). Results are encouraging and the application of such approach can be important to develop a circular model for sustainable exploitation of mining wastes.

TOWARD A MULTIDISCIPLINARY STRATEGY FOR THE CLASSIFICATION AND REUSE OF IRON AND MANGANESE MINING WASTES

D Guglietta;G Belardi;G Cappai;B Casentini;S Milia;D Passeri;R Salvatori;A Scotti;E Tempesta;S Ubaldini;F Trapasso
2020

Abstract

Mining and mineral-processing wastes have been giving a lot of concern in recent times. This paper has evaluated an integrated multidisciplinary strategy for mining waste characterization, their possible recycling and reuse and Critical Raw Materials (CRMs) recovery. After the in situ sampling campaigns, mining wastes have been characterized and the acquired mineralogical, chemical and spectral information have been used to create a map of mining waste deposits by means of the new multispectral satellite Sentinel-2A classification. The use of Fe-Mn rich wastes in arsenic removal and phosphorus recovery from water was discussed. Furthermore, mycorrhizal-assisted phytoextraction of metals from contaminated soils classified as Class 1-2 and 4 by remote sensing showed a good potential for their possible recovery from biomass: roots bioaccumulation coefficients ranged from 0.25-0.27 (Cr, Cu) to 7 (S) and the highest observed translocation factor was 3 (Sr, P). Results are encouraging and the application of such approach can be important to develop a circular model for sustainable exploitation of mining wastes.
2020
Istituto di Geologia Ambientale e Geoingegneria - IGAG
Istituto sull'Inquinamento Atmosferico - IIA
Istituto di Ricerca Sulle Acque - IRSA
Istituto di Scienze Polari - ISP
recycle
reuse
remediation
metal recovery
remote sensing analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/362219
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