TOWARD A MULTIDISCIPLINARY STRATEGY FOR THE CLASSIFICATION AND REUSE OF IRON AND MANGANESE MINING WASTES
Autor: | Emanuela Tempesta, Adalgisa Scotti, Girolamo Belardi, Rosamaria Salvatori, Daniela Guglietta, Barbara Casentini, Stefano Ubaldini, Giovanna Salvatorica Cappai, Vanesa Analia Silvani, Daniele Passeri, Francesca Trapasso, Alicia Margarita Godeas, Stefano Milia |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Waste management
Process Chemistry and Technology chemistry.chemical_element General. Including alchemy General Chemistry Manganese Reuse mining waste reuse Chemistry QD1-65 chemistry Multidisciplinary approach remediation metal recovery recycle remote sensing analysis Environmental Chemistry QD1-999 |
Zdroj: | Chemistry Journal of Moldova (2020). doi:10.19261/cjm.2019.650 info:cnr-pdr/source/autori:D. Guglietta, G. Belardi, G. Cappai, B. Casentini, A. Godeas, S. Milia, D. Passeri, R. Salvatori, A. Scotti, V. Silvani, E. Tempesta, S. Ubaldini, and F. Trapasso/titolo:TOWARD A MULTIDISCIPLINARY STRATEGY FOR THE CLASSIFICATION AND REUSE OF IRON AND MANGANESE MINING WASTES/doi:10.19261%2Fcjm.2019.650/rivista:Chemistry Journal of Moldova (Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume Chemistry Journal of Moldova: General, Industrial and Ecological Chemistry, Vol 15, Iss 1, Pp 21-30 (2020) |
DOI: | 10.19261/cjm.2019.650 |
Popis: | 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. |
Databáze: | OpenAIRE |
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