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  4. Risk Management Model for Tailings Storage Facilities in Chile: An Approach from Geological and Mining Engineering and the Regulatory Framework
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Risk Management Model for Tailings Storage Facilities in Chile: An Approach from Geological and Mining Engineering and the Regulatory Framework

Journal
Mining
ISSN
2673-6489
Date Issued
2025-11-25
Author(s)
Leslie Vinet
Facultad de Ingeniería  
VALDÉS GONZÁLEZ, HÉCTOR MOISÉS  
Facultad de Ingeniería  
CALDERON NETTLE, MAURICIO ROBERTO  
Facultad de Ingeniería  
Type
text::journal::journal article
DOI
10.3390/mining5040080
URL
https://hdl.handle.net/123456789/12005
Abstract
<jats:p>Despite technological advancements in mining, Chile lacks comprehensive risk management models for tailings storage facilities (TSFs), which hinders the prevention and mitigation of structural and environmental risks. This study aims to develop an integrated risk management model for TSFs in Chile, combining geological and mining engineering with an updated regulatory framework to enhance safety and reduce environmental impacts. The research adopts a mixed-methods approach. Qualitatively, it draws on 10 semi-structured interviews with engineers, geologists, academics, and professionals from the Chilean mining industry, selected through purposive sampling, to explore how and why the current risk management model should be improved. Quantitatively, it analyzes data from 303 surveys assessing the existing regulatory framework, a proposed new regulatory decree for Chile, and key variables to be considered in TSF risk management. The results present a new model that integrates geochemical and geotechnical characterization, process variables, in situ sensors, remote sensing, and artificial intelligence to generate dynamic risk indicators and early warning systems throughout the life cycle of the facility, including closure and liability valuation. Its multiscale design, adaptable to seismic and hydrogeological conditions and suitable for small- and medium-scale mining, overcomes existing static and fragmented approaches, enabling more effective decision-making with a focus on environmental and community safety. The study concludes that the model provides a robust and coherent tool for TSF risk management by integrating technical expertise, the current regulatory framework, and the management of key variables that enhance the ability to anticipate and mitigate structural and environmental risks.</jats:p>
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