Geoenvironmental Study of Gold Mining Tailings in a Circular Economy Context: Santa Barbara, Minas Gerais, Brazil

Lemos, Mariana; Valente, Teresa Maria Fernandes; Reis, Amélia; Fonsceca, R.; Dumont, J. M.; Ferreira, Gaspar; Delbem, Itamar Daniel

doi:10.1007/s10230-021-00754-6

Cited by 8 publications

(16 citation statements)

References 38 publications

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“…S6). Such detailed information is essential to assess the metallurgical potential for reuse and the impacts associated with the disposal of these tailings 6,9 .…”

Section: Resultsmentioning

confidence: 99%

“…These models aim to add new value to tailings by identifying the proper destination of potentially hazardous materials 12 Studies using a combination of characterization techniques are the starting point to add value and increased knowledge to these wastes 13 . The integration of analytical techniques such as specific chemical analysis for solids, mineralogical and particle size distribution, and density determination, can be found in a number of publications 6,[13][14][15][16][17][18][19] (demonstrating that this characterization stage is critical to evaluating and understanding the waste deposits.…”

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confidence: 99%

“…In addition to these reviews and methodologies, the state-of-the-art shows success in recovering gold from mining tailings through different procedures 6,34,[40][41][42] . Nevertheless, dams and tailings deposits have environmental impact due the potentially hazardous substances they contain 43 .…”

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confidence: 99%

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Geochemistry and mineralogy of auriferous tailings deposits and their potential for reuse in Nova Lima Region, Brazil

Lemos

Valente

Reis

et al. 2023

Sci Rep

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Since the mid-nineteenth century, gold ores, mainly hosted in sulfides, have been processed at metallurgical plants located in Nova Lima, Brazil. The generated wastes have been accumulated over the years in tailings dams or in piles. These materials represent wasted from old circuits, as well as from plants still in production. In this study, geochemical, mineralogical, 3D modelling, and metallurgical analyses wastes were carried out to evaluate potential reuse of these wastes. The performed characterization detected residues of very fine grain size containing sulfides and oxides. The wastes show high grades of Au hosted in different minerals. In addition to Au, samples contain S, Fe, Zn, Pb, Sc, Si, and As. The 3D modelling for spatial definition of Au was performed using ordinary kriging with dimensional variograms. The results indicated the occurrence of Au enrichment zones and allowed to reveal the most attractive tailing deposits in terms of Au content. Metallurgical tests showed recovery of 70% of Au and suggested other potential reuse of the wastes, such as aggregates for the civil construction sector and recovery of other metals. The present work highlights the importance of an integrative characterization within the scope of the circular economy and the value of tailings in the production chain of the mineral sector.

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“…S6). Such detailed information is essential to assess the metallurgical potential for reuse and the impacts associated with the disposal of these tailings 6,9 .…”

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Geochemistry and mineralogy of auriferous tailings deposits and their potential for reuse in Nova Lima Region, Brazil

Lemos

Valente

Reis

et al. 2023

Sci Rep

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“…Pier-Luc Labonté-Raymond et al have studied the impact of climate change on the drainage system of tailings ponds 8 . MG Lemos et al identified the chemical, mineralogical and metallurgical properties of gold tailings located in the Santa Barbara mine 9 . Baker K E et al applied process safety management tools to the tailings storage and transportation system, and visually characterized the possible hazards and control measures to prevent accidents 10 .…”

Section: Introductionmentioning

confidence: 99%

Propagation network of tailings dam failure risk and the identification of key hazards

Zhen

et al. 2022

Sci Rep

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The tailings dam system is complex, and the dam structure changes continuously over time, which can make it difficult to identify key hazards of failure and characterize the accident formation process. To solve the above problems, based on complex network theory, the paper uses the identified hazards and the relationship between hazards to construct the propagation network of tailings dam failure risk (PNTDFR). The traditional analysis methods of network centrality usually focus on one aspect of the information of the network, while it cannot take into account to absorb the advantages of different methods, resulting in the difference between identified key nodes and real key hazards. To find the key hazards of tailing dam failure, based on the characteristics of multi-stage propagation of failure risk, the paper proposes a multi-stage collaborative hazard remediation method (MCHRM) to determine the importance of hazard nodes by absorbing the advantages of different centrality methods under different hazard remediation (deletion) ratios. The paper applies the above methods to Feijão Dam I. It can be found that when the priority remediation range is increased to 45%, the key hazards obtained by the MCHRM will cover all the causes of accidents proposed by the Dam I failure investigation expert group. Besides, the paper compares the monitoring data, daily inspection results and safety evaluation information of key hazards with the ‘Grading standards of hazard indicators’, and obtains the formation process of the Dam I failure and 30 key hazards in trigger state.

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“…Pier-Luc Labonté-Raymond et al have studied the impact of climate change on the drainage system of tailings ponds [8] . MG Lemos et al identi ed the chemical, mineralogical and metallurgical properties of gold tailings located in the Santa Barbara mine [9] . Baker K E et al applied process safety management tools to the tailings storage and transportation system and visually characterized the possible hazards and control measures to prevent accidents [10] .…”

Section: Introductionmentioning

confidence: 99%

Propagation Network of Tailings Dam Failure Risk: An Empirical Research and The Identification of Key Hazard Node

Zhen¹,

Ma²,

Zhao³

2021

Preprint

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The tailings dam system is complex, and the dam structure changes continuously over time, which makes it difficult to identify hazards and analyze the causes of failure accidents. This paper uses hazards to represent the nodes, and the relationship between hazards to represent the edges. Based on the complex network theory, the propagation network of tailings dam failure risk is constructed. The traditional identification methods usually focus on one aspect of the information of the network, while it cannot take into account to absorb the advantages of different methods, resulting in the lack of information, which will lead to a certain difference between identified key hazards and real key hazards. In order to solve this problem, by absorbing the advantages of different methods under different hazard remediation (deleted) ratios, combined with the characteristics of multi-stage propagation of tailings dam failure risk, this paper proposes a multi-stage collaborative hazard remediation method (MCHRM) to determine the importance of hazard nodes. When the important nodes of this network that affect the network efficiency are found, by consulting the monitoring data, daily inspection results and safety evaluation information of each hazard before the dam failure, we can determine the real cause of the accident from the above important nodes according to the grading standards of hazard indicators. In the application example of Feijão Dam I, this article compares the key hazards obtained by the above methods with the conclusions of the accident investigation team. It can be found that the above method has a very good effect on finding the key causes of tailings dam failure.

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Geoenvironmental Study of Gold Mining Tailings in a Circular Economy Context: Santa Barbara, Minas Gerais, Brazil

Cited by 8 publications

References 38 publications

Geochemistry and mineralogy of auriferous tailings deposits and their potential for reuse in Nova Lima Region, Brazil

Geochemistry and mineralogy of auriferous tailings deposits and their potential for reuse in Nova Lima Region, Brazil

Propagation network of tailings dam failure risk and the identification of key hazards

Propagation Network of Tailings Dam Failure Risk: An Empirical Research and The Identification of Key Hazard Node

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