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Modelling Hazard for Tailings Dam Failures at Copper Mines in Global Supply Chains

Author

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  • Sören Lars Nungesser

    (Industrial Ecology Group, Faculty of Environment and Natural Resources, University of Freiburg, D-79106 Freiburg, Germany)

  • Stefan Pauliuk

    (Industrial Ecology Group, Faculty of Environment and Natural Resources, University of Freiburg, D-79106 Freiburg, Germany)

Abstract

The global mining industry generates several billion tons of waste every year. Much of it is stored in liquid form, known as tailings, in large impoundments. Recent dam failures at tailing ponds with catastrophic outcomes have raised public concern, such that industry initiatives and investors are beginning to address the problem. So far, a lack of publicly available data makes an independent and comprehensive risk assessment challenging. We introduce a simple and transparent hazard indicator built from environmental proxy variables and screen a global sample of 112 copper mines for natural hazards regarding tailings dams. In a second step, material footprints of copper for the European Union and five major economies are estimated and compared using a Multi-Regional Input–Output model, shedding light on the regions of origin. Finally, hazard scores are linked to regional copper footprints to identify hotspots in supply chains of final consumption. The most hazardous mines are located in Chile and Peru including some of the world’s largest copper producers. China and the US have the largest copper ore footprints and per capita values in the US were 25 times larger than in India. The United States’ and European footprints are satisfied by domestic extraction to about 66 and 40 percent respectively. Copper from Poland contributes around 19 and 28 percent to supply chains of German and European final demand respectively and, as a consequence, Poland constitutes the main hazard hotspot for Europe’s copper supply chain.

Suggested Citation

  • Sören Lars Nungesser & Stefan Pauliuk, 2022. "Modelling Hazard for Tailings Dam Failures at Copper Mines in Global Supply Chains," Resources, MDPI, vol. 11(10), pages 1-27, October.
    • Handle: RePEc:gam:jresou:v:11:y:2022:i:10:p:95-:d:946235
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    References listed on IDEAS

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    1. Alexandre Tisserant & Stefan Pauliuk, 2016. "Matching global cobalt demand under different scenarios for co-production and mining attractiveness," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    2. Alexandre Tisserant & Stefan Pauliuk, 2016. "Matching global cobalt demand under different scenarios for co-production and mining attractiveness," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    3. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    4. Guiomar Calvo & Gavin Mudd & Alicia Valero & Antonio Valero, 2016. "Decreasing Ore Grades in Global Metallic Mining: A Theoretical Issue or a Global Reality?," Resources, MDPI, vol. 5(4), pages 1-14, November.
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    Cited by:

    1. Carlos Cacciuttolo & Deyvis Cano, 2023. "Spatial and Temporal Study of Supernatant Process Water Pond in Tailings Storage Facilities: Use of Remote Sensing Techniques for Preventing Mine Tailings Dam Failures," Sustainability, MDPI, vol. 15(6), pages 1-32, March.

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