Modelling releases from tailings in life cycle assessments of the mining sector: From generic models to reactive transport modelling. (April 2022)
- Record Type:
- Journal Article
- Title:
- Modelling releases from tailings in life cycle assessments of the mining sector: From generic models to reactive transport modelling. (April 2022)
- Main Title:
- Modelling releases from tailings in life cycle assessments of the mining sector: From generic models to reactive transport modelling
- Authors:
- Muller, Stéphanie
Lassin, Arnault
Lai, Frédéric
Thiéry, Dominique
Guignot, Sylvain - Abstract:
- Highlights: Impacts associated with tailings releases are poorly quantified in LCA. Comparison of different approaches to account for releases from tailings. Generic inventory datasets may overestimate tailings releases to environment. Interdisciplinarity is key to develop more complete models to be applied in LCA. Abstract: Extracting mineral ores to produce mineral concentrates and finally metals that enter the value chains of different sectors is a waste intensive activity. In particular, mineral processing activities generate yearly and globally several billion tons of wastes called tailings. Tailings storage is associated with significant environmental risks due to different sources such as releases to groundwater. Yet, these environmental impacts are poorly taken into account in the environmental life cycle assessment of a concentrate or metal production, in particular due to a lack of representative data in the inventory. This paper aims at coupling geochemical modelling geochemical modelling with life cycle assessment to quantify releases from tailings and the associated environmental impacts. In the present work, reactive transport modelling was implemented to quantify more accurately short-term (100-year timeframe) and long-term (10, 000 year-timeframe) tailings releases. Reactive transport modelling allows modelling and estimating the distributions in space and in time of chemical reactions occurring in a specific environment. The resulting tailings releases areHighlights: Impacts associated with tailings releases are poorly quantified in LCA. Comparison of different approaches to account for releases from tailings. Generic inventory datasets may overestimate tailings releases to environment. Interdisciplinarity is key to develop more complete models to be applied in LCA. Abstract: Extracting mineral ores to produce mineral concentrates and finally metals that enter the value chains of different sectors is a waste intensive activity. In particular, mineral processing activities generate yearly and globally several billion tons of wastes called tailings. Tailings storage is associated with significant environmental risks due to different sources such as releases to groundwater. Yet, these environmental impacts are poorly taken into account in the environmental life cycle assessment of a concentrate or metal production, in particular due to a lack of representative data in the inventory. This paper aims at coupling geochemical modelling geochemical modelling with life cycle assessment to quantify releases from tailings and the associated environmental impacts. In the present work, reactive transport modelling was implemented to quantify more accurately short-term (100-year timeframe) and long-term (10, 000 year-timeframe) tailings releases. Reactive transport modelling allows modelling and estimating the distributions in space and in time of chemical reactions occurring in a specific environment. The resulting tailings releases are compared with those calculated through the approach, based on a first order law of kinetics, used in the ecoinvent database. The results from the ecoinvent approach are calculated both with generic and site-specific parameters. These different approaches are applied on the case-study of a polymetallic sulphidic ore from a mine in Northern Europe. The tailings releases obtained through the different approaches differ. Overall, the reactive transport model leads to quantities released at both short-term and long-term timeframes being smaller than those calculated with the ecoinvent approach. As a result, the impacts on ecotoxicological and toxicological categories show differences between two to eight orders of magnitude. Each approach used to model the tailings releases differ in the nature and amount of data needed as well as in the sophistication of the model used. While the approach based on reactive transport modelling is exhaustive and presumably provides a more accurate prediction for the releases from tailings, it also requires massive computational resources and much larger volumes of data, some of which being difficult to obtain on-site. Consequently, a consensus has to be found between the complexity of the model used, the data availability and the expected reliability of the results. … (more)
- Is Part Of:
- Minerals engineering. Volume 180(2022)
- Journal:
- Minerals engineering
- Issue:
- Volume 180(2022)
- Issue Display:
- Volume 180, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 180
- Issue:
- 2022
- Issue Sort Value:
- 2022-0180-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-04
- Subjects:
- Life cycle inventory -- Tailings -- Reactive transport -- Groundwater releases
Mines and mineral resources -- Periodicals
Ressources minérales -- Périodiques
Mines and mineral resources
Periodicals
Electronic journals
622 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08926875 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.mineng.2022.107481 ↗
- Languages:
- English
- ISSNs:
- 0892-6875
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5790.678000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21253.xml