Tailings Dams: Design, Characterization, Monitoring, and Risk Assessment, 2nd Edition

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Environmental Mineralogy and Biogeochemistry".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 719

Special Issue Editors


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Guest Editor
Geotechnical Engineering Department, Universal Engineering Sciences (UES), Atlanta, GA, USA
Interests: risk assessment for geo-engineering projects; rock mechanics and geotechnical engineering; monitoring and data analytics; artificial intelligence, systems, and probabilistic analyses
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Guest Editor
Department of Mining and Metallurgical Engineering, University of Nevada, Reno, NV 89557, USA
Interests: artificial intelligence; data analysis; image processing; machine learning; robotics; resource estimation; production planning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Large quantities of tailings are produced and accumulated as a result of the mining of mineral resources and the chemical and mechanical separation processes of mineral extraction. These waste materials are need to be reasonably managed to prevent them from entering adjacent environmental ecosystems. The slurry of waste material is often contained in large basins that are constructed by dams; these are called tailing dams, and are among some of the world’s largest engineered structures. In recent years, there has bene an increase in the number mining tailings dam failures and the discharge of vast volumes of tailings into the natural environment, many of which have caused significant harm to infrastructure and human lives. Therefore, there is a current demand for a broader understanding of the physical and mechanical properties of these complex geotechnical structures, an understanding their geometrical design, an analysis of the failure mechanisms, as well as the development of thorough monitoring technologies and management systems.

Subsequent to the successful publication of the 1st Edition of this Special Issue, this 2nd Edition aims to report recent advances in the characterization, design, monitoring, and risk assessment of mine tailings dams, as well as the evaluation of standards and guidelines for these purposes. Topics of interest include, but are not limited to, those covered by the keyword list below.

Dr. Masoud Zare-Naghadehi
Dr. Javad Sattarvand
Guest Editors

Manuscript Submission Information

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Keywords

  • characterization of tailings deposits
  • geotechnical and condition monitoring of tailings dams
  • design issues and parameters of tailings dams
  • geotechnical and managerial risk assessment of tailings projects
  • case histories of failures or good design practices
  • modeling and simulation of tailings flows resulting from dam failure
  • dewatering technologies
  • closure of mine tailings dams
  • standards and guidelines
  • innovative tailings management approaches
  • environmental issues related to active/closed dams (such as dust emission, etc.)

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Published Papers (1 paper)

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34 pages, 9922 KiB  
Systematic Review
Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era
by Carlos Cacciuttolo, Valentina Guzmán, Patricio Catriñir and Edison Atencio
Minerals 2024, 14(5), 446; https://doi.org/10.3390/min14050446 - 24 Apr 2024
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Abstract
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 [...] Read more.
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. Full article
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