Provenance of multi-stage volcanic ash recorded in the Late Carboniferous coal in the Jungar Coalfield, North China, and their contribution to the enrichment of critical metals in the coal

Zhang, Shuai; Wei, Xiaofeng; Sun, Bo; Liu, Qinfu

doi:10.1016/j.coal.2023.104265

Cited by 21 publications

(5 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be supported by the Nb and Zr peaks found in the EDS spectra of anatase from noncoal samples. 25 Previous studies, e.g., Jiu et al, 45 Zhang et al, 47 and Zhang et al, 48 further supported such association of Zr, Hf, Nb, and Ta in coal.…”

Section: Analysis Of Datanhao Coalmentioning

confidence: 80%

“…Niobium (Nb), Tantalum (Ta), and Thorium (Th). Niobium and Ta are almost geochemically inseparable, 13,47,48 and as Dai et al 23 suggested, thorium in the Adaohai coal mainly comes from detrital materials of the source region, which may be the same source as Nb and Ta. Therefore, it is not surprising that Th and Nb are adjacent in the skeleton (Figure 7).…”

Section: Thorium (Th) and Uranium (U)mentioning

confidence: 97%

See 1 more Smart Citation

Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal

Xu,

Li,

Zhu

et al. 2023

ACS Omega

View full text Add to dashboard Cite

Modes of occurrence of elements in coal are important because they can be used not only to understand the origin of inorganic components in coal but also to determine the impact on the environment and human health and the deposition process of coal seams as well. Statistical analysis is one of the commonly used indirect methods used to analyze the modes of occurrence of elements in coal, among which hierarchical clustering is widely used. However, hierarchical clustering may lead to misleading results due to its limitation that it focuses on the clusters of elements rather than a single element. To tackle this issue, we use the first part of a well-known Bayesian network structure learning algorithm, i.e., Peter−Clark (PC) algorithm, to explore the relationships of the coal elemental data and then infer modes of occurrence of elements in coal. A data set containing 95 Late Paleozoic coal samples from the Datanhao and Adaohai mines in Inner Mongolia, China, is used for the performance evaluation. Analytical results show that many instructive and surprising insights can be concluded from the first part of the PC algorithm. Compared with the hierarchical clustering algorithm, the first part of the PC algorithm demonstrates superiority in analyzing the modes of occurrence of elements in coal.

show abstract

Section: Analysis Of Datanhao Coalmentioning

confidence: 80%

Section: Thorium (Th) and Uranium (U)mentioning

confidence: 97%

Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal

Xu,

Li,

Zhu

et al. 2023

ACS Omega

View full text Add to dashboard Cite

show abstract

“…The enrichment of Ga in the top and bottom plates of the coal seams indicates that the Ga-containing carriers in the clay minerals entered the coal seams through the surrounding rocks under the action of groundwater, showing the influence of catagenesis, which indicates that the catagenesis leaching action and the activity of groundwater are other factors contributing to the enrichment of Ga in the Heidaigou coal-Ga deposit [20]. Moreover, in the clayey conglomerate of the Heidaigou coal series, significant quantities of volcanic clasts and volcanic ash have been identified [67,[77][78][79]. Earlier research on the Taiyuan Formation revealed thin layers of volcanic tuff [80], indicating that these volcanic tuff layers and clasts might have originated from volcanic activities along the orogenic belt at the boundary of the North China and South Mongolia Plates.…”

Section: Enrichment Genesis Of Heidaigou Coal-ga Depositmentioning

confidence: 97%

Cooperative Exploration Model of Coal–Gallium Deposit: A Case Study of the Heidaigou Coal–Gallium Deposit in the Jungar Coalfield, Inner Mongolia, China

Zhang,

Wei,

Cao

et al. 2024

Minerals

View full text Add to dashboard Cite

Gallium (Ga) is a typical scattered trace element that is irreplaceable in strategic sectors such as national defense, wireless communications, new materials, renewable energy, and healthcare. The coal–Ga deposit is an important complement to traditional Ga resources and has become a significant focus for Ga mineral resource exploration. Therefore, there is an urgent need to research the coal–Ga cooperative exploration model from both technical and economic perspectives. Taking the Heidaigou coal–Ga deposit as an example, the enrichment zone of coal–Ga is predominantly situated in the northern part of the exploration area, adjacent to the fault zone. The Ga concentration demonstrates a gradual decline from the north–central region towards the northeast and southeast. Similar vertical Ga distribution patterns are observed in adjacent drillings, with notably higher concentrations in the roof, floor, and parting layers. The cooperative exploration model for coal–Ga deposits is proposed based on the above features. The model employs a comprehensive set of cooperative technical methods, such as remote sensing, geological mapping, seismic exploration, drilling, petrogeochemistry, and well logging. The layout of exploration engineering and the concentration of Ga provide the basis for the estimation of Ga resources. Additionally, the model provides an important scientific basis for the improvement of the strategic coordination ability of Ga mineral resources.

show abstract

“…Due to the stable structural conditions, it was conducive to the formation of bauxite, and the moyite clastic materials of the Yinshan ancient land provided direct provenance for the study area [14,19]. Bauxite residue within the weathering crust was a source of Li, and the input of volcanic ash produced by volcanic activities affects the enrichment characteristics of Li [55,[58][59][60][61]. During the formation of Haerwusu Li-rich coal, the chemically altered detrital material of moyite from the Yinshan ancient land was initially enriched in the weathering crust of the Upper Carboniferous Benxi Formation after long-term surface efflorescence, denudation, and transport.…”

Section: Occurrence State and Origin Of Enrichment Of LI In Coalmentioning

confidence: 99%

Cooperative Exploration Model of Coal–Lithium Deposit: A Case Study of the Haerwusu Coal–Lithium Deposit in the Jungar Coalfield, Inner Mongolia, Northern China

Li,

Wei,

Cao

et al. 2024

Minerals

View full text Add to dashboard Cite

Lithium (Li) is an important strategic metal mineral resource, irreplaceable in the fields of modern industry, new energy technology, nuclear fusion, and energy storage devices. Li is an important supplement to traditional strategic metal mineral resources and has become an important avenue of mineral resource exploration. Therefore, there is an urgent need to establish a cooperative exploration model of coal and Li deposits to lay a theoretical foundation from the perspective of technical optimization and economic rationality. This study is based on the distribution characteristics of the Haerwusu coal–Li deposit, and the effectiveness of the response to exploration techniques, the economical and effective exploration techniques, the reasonable exploration engineering design, and resource estimation parameters is investigated. Therefore, the cooperative exploration model of the coal–Li deposit is established. The high-Li areas in the surface of the Haerwusu Li deposit is distributed near the B1 anticline or in the middle area between the X1 syncline and the B1 anticline, and the vertical distribution of Li content is irregular. The exploration techniques, exploration engineering design, and resource estimation are reviewed and optimized. According to the geological, geochemical, and geophysical conditions, a reasonable cooperative exploration model for coal–Li deposits is established from the two aspects of the coordination of multi-mineral exploration and the coordination of various exploration technologies. The determination of the coal–Li deposit cooperative exploration model has important practical significance for improving the resource security system.

show abstract

Provenance of multi-stage volcanic ash recorded in the Late Carboniferous coal in the Jungar Coalfield, North China, and their contribution to the enrichment of critical metals in the coal

Cited by 21 publications

References 81 publications

Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal

Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal

Cooperative Exploration Model of Coal–Gallium Deposit: A Case Study of the Heidaigou Coal–Gallium Deposit in the Jungar Coalfield, Inner Mongolia, China

Cooperative Exploration Model of Coal–Lithium Deposit: A Case Study of the Haerwusu Coal–Lithium Deposit in the Jungar Coalfield, Inner Mongolia, Northern China

Contact Info

Product

Resources

About