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Spatial and Temporal Study of Supernatant Process Water Pond in Tailings Storage Facilities: Use of Remote Sensing Techniques for Preventing Mine Tailings Dam Failures

Author

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  • Carlos Cacciuttolo

    (Civil Works and Geology Department, Catholic University of Temuco, Temuco 4780000, Chile)

  • Deyvis Cano

    (Programa Académico de Ingeniería Ambiental, Universidad de Huánuco, Huánuco 10001, Peru)

Abstract

Considering the global impact on society due to tailings storage facilities (TSFs) accidents, this article describes a study to monitor mine tailings management and prevent mining tailings dam failures, considering the analysis of different TSFs real cases. The spatial and temporal dynamic behavior of the supernatant process water pond of the TSFs is studied as a critical issue, using remote sensing techniques based on multispectral satellite imagery. To understand the current state of the art, a brief description of engineering studies for the control and management of the supernatant process water pond in TSFs is presented. This research considers the main method of the study of practical cases with the use of techniques of multispectral interpretation of satellite images from the Sentinel 2 remote sensor. In addition, the management of tools such as Geographical Information System (GIS) and Google Earth Engine (GEE) is implemented, as well as the application of some spectral indices such as NDWI and the joint use of (i) NDVI, (ii) mNDWI, and (iii) EVI. Real TSF cases are analyzed, including the dam failures of Jagersfontain TSF in South Africa and Williamson TSF in Tanzania. Finally, this article concludes that the size, location, and temporal variability of the supernatant process water pond within a TSF has a direct impact on safety and the possible potential risk of the physical instability of tailings dams.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4984-:d:1094100
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    References listed on IDEAS

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    2. 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.
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    6. Margaret Armstrong & Nicolas Langrené & Renato Petter & Wen Chen & Carlos Petter, 2019. "Accounting for tailings dam failures in the valuation of mining projects," Post-Print hal-02909376, HAL.
    7. Carlos Cacciuttolo Vargas & Alex Marinovic Pulido, 2022. "Sustainable Management of Thickened Tailings in Chile and Peru: A Review of Practical Experience and Socio-Environmental Acceptance," Sustainability, MDPI, vol. 14(17), pages 1-65, August.
    8. Ojeda-Pereira, Iván & Campos-Medina, Fernando, 2021. "International trends in mining tailings publications: A descriptive bibliometric study," Resources Policy, Elsevier, vol. 74(C).
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    10. Araya, Natalia & Ramírez, Yendery & Cisternas, Luis A. & Kraslawski, Andrzej, 2021. "Use of real options to enhance water-energy nexus in mine tailings management," Applied Energy, Elsevier, vol. 303(C).
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    1. Carlos Cacciuttolo & Alex Marinovic, 2023. "Experiences of Underground Mine Backfilling Using Mine Tailings Developed in the Andean Region of Peru: A Green Mining Solution to Reduce Socio-Environmental Impacts," Sustainability, MDPI, vol. 15(17), pages 1-27, August.
    2. Meihong Zhi & Yun Zhu & Ji-Cheng Jang & Shuxiao Wang & Pen-Chi Chiang & Chuang Su & Shenglun Liang & Ying Li & Yingzhi Yuan, 2023. "Analysis of Storage Capacity Change and Dam Failure Risk for Tailings Ponds Using WebGIS-Based UAV 3D Image," Sustainability, MDPI, vol. 15(19), pages 1-18, September.

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