
Open access
Date
2022-04-05Type
- Journal Article
Citations
Cited 10 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
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Abstract
Worldwide, an issue of copper production is the generation of mine waste with varying characteristics. This waste can pollute natural environments, and in particular, the heavy metal emissions of the tailings may pose long-term consequences. Currently, life cycle assessments of mine tailings are hampered by both limited data availability in the metal production value chain and lack of appropriate methodologies. We collect data from 431 active copper mine sites using a combination of information available from the market research and technical handbooks to develop site-specific life cycle inventories for disposal of tailings. The approach considers the influences of copper ore composition and local hydrology for dynamically estimating leached metals of tailings at each site. The analysis reveals that together, copper tailings from the large (i.e., porphyry) and medium-size copper deposits (i.e., volcanogenic massive sulfide and sediment-hosted) contribute to more than three quarters of the total global freshwater ecotoxicity impacts of copper tailings. This strongly correlates with hydrological conditions, leading to high infiltration rates. The generated inventories vary locally, even within single countries, showcasing the importance of site-specific models. Our study provides site-specific, dynamic emission models and thus improves the accuracy of tailing's inventories and toxicity-related impacts. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000543233Publication status
publishedExternal links
Journal / series
Environmental Science & TechnologyVolume
Pages / Article No.
Publisher
American Chemical SocietySubject
site-specific inventory models; ore mining; mine tailings; ecotoxicity impacts; tailings geochemistry; metal production; mineral processing; life cycle assessmentOrganisational unit
03732 - Hellweg, Stefanie / Hellweg, Stefanie
Funding
812580 - European Training Network for the remediation and reprocessing of sulfidic mining waste sites (EC)
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Show all metadata
Citations
Cited 10 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
Altmetrics