Public databases of tailings storage facilities fall short of full risk disclosure

Massignan, Rafaela Shinobe; Sánchez, Luis Enrique

doi:10.1016/j.exis.2024.101420

The Extractive Industries and Society

2024

DOI: 10.1016/j.exis.2024.101420

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Public databases of tailings storage facilities fall short of full risk disclosure

Rafaela Shinobe Massignan,

Luis Enrique Sánchez

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2024

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“…Many mining countries around the world have begun to implement risk assessments for the TSFs in their territories regarding socio-environmental issues, but more efforts are needed, as well as strategies to disclose risks to society [125][126][127]. A sustainable alternative future technological trend of the Industry 4.0 paradigm could involve the application of smart sensor monitoring systems to monitor mine tailings and help reduce the risk of failures as low as reasonably practicable (ALARP).…”

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confidence: 99%

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Cacciuttolo,

Guzmán,

Catriñir

et al. 2024

Minerals

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The recent tailings storage facility (TSF) dam failures recorded around the world have concerned society in general, forcing the mining industry to improve its operating standards, invest greater economic resources, and implement the best available technologies (BATs) to control TSFs for safety purposes and avoid spills, accidents, and collapses. In this context, and as the era of digitalization and Industry 4.0 continues, monitoring technologies based on sensors have become increasingly common in the mining industry. This article studies the state of the art of implementing sensor technologies to monitor structural health and safety management issues in TSFs, highlighting advances and experiences through a review of the scientific literature on the topic. The methodology applied in this article adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and utilizes scientific maps for data visualization. To do so, three steps were implemented: (i) a quantitative bibliometric analysis, (ii) a qualitative systematic review of the literature, and (iii) a mixed review to integrate the findings from (i) and (ii). As a result, this article presents the main advances, gaps, and future trends regarding the main characteristics of the sensor technologies applied to monitor TSF structural health and safety management in the era of digitalization. According to the results, the existing research predominantly investigates certain TSF sensor technologies, such as wireless real-time monitoring, remote sensors (RS), unmanned aerial vehicles (UAVs), unmanned survey vessels (USVs), artificial intelligence (AI), cloud computing (CC), and Internet of Things (IoT) approaches, among others. These technologies stand out for their potential to improve the safety management monitoring of mine tailings, which is particularly significant in the context of climate change-related hazards, and to reduce the risk of TSF failures. They are recognized as emerging smart mining solutions with reliable, simple, scalable, secure, and competitive characteristics.

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mentioning

confidence: 99%

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Cacciuttolo,

Guzmán,

Catriñir

et al. 2024

Minerals

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Public databases of tailings storage facilities fall short of full risk disclosure

Cited by 1 publication

References 15 publications

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

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