A review of element partitioning in coal preparation

Arnold, Brent L.

doi:10.1016/j.coal.2023.104296

Cited by 16 publications

(8 citation statements)

References 43 publications

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“…Note that Cd and Zn in the Datanhao coal show an obvious association in the results (Figure ) of the PC-skeleton algorithm (Table ), consistent with the modes of occurrence of Cd and Zn in coal and other geologic materials . Zinc in coal generally occurs in sulfides such as pyrite and sphalerite, and cadmium in coal is also primarily found in sphalerite. ,− …”

Section: Results and Discussionsupporting

confidence: 66%

“…Tian et al found that Zn and Cd are strongly associated with pyrite by a combination of float-sink and low-temperature ashing. Recent studies, e.g., Arnold et al, Jiu et al, and Li et al, further supported such association of Cd and Zn in coal.…”

Section: Results and Discussionmentioning

confidence: 85%

“…Based on the results of SEM and EMPA, Minkin et al 49 suggested that arsenic in coal occurs mainly in pyrite. Dai et al, 11 Hower et al, 50 Arbuzov et al, 51 and Arnold 44 also concluded that arsenic in coal is mainly in pyrite and a portion is associated with organic matter. These observations are again consistent with the association of As and Hg shown in the skeleton ( Figure 6 ).…”

Section: Results and Discussionmentioning

confidence: 99%

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

Xu,

Li,

Zhu

et al. 2023

ACS Omega

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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.

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Section: Results and Discussionsupporting

confidence: 66%

Section: Results and Discussionmentioning

confidence: 85%

Section: Results and Discussionmentioning

confidence: 99%

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

Xu,

Li,

Zhu

et al. 2023

ACS Omega

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“…Coal is the primary source of energy worldwide and plays a crucial role in industrial production [1,2]. To ensure safe production, efficient management, and emergency response in coal mines, it is of great significance to establish a reliable and efficient underground communication system [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…1 -The signal could not be connected at T4 and T5. N/A means that the test project does not need to be completed.…”

mentioning

confidence: 99%

Modeling and Optimization of Wireless Signal Transmission Characteristics of Mine Roadway Based on 3D Ray-Tracing Method

Li,

Ding,

et al. 2024

Applied Sciences

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The mine roadway is a special restricted space where wireless signals cannot freely propagate. The research on the transmission characteristics of wireless signals in mine roadways is of great significance for establishing a safe and reliable underground communication system. In this context, the transmission characteristics of wireless signals with a frequency of 700 MHz in the roadway are studied using the three-dimensional (3D) ray-tracing method. The calculation of the vertical dimension of the roadway is increased, and a roadway model is established to more comprehensively reflect the transmission characteristics of the signal in the roadway. The results show that the field strength in the near-source region is high, the attenuation is fast, and the fluctuation is strong, while the waveform in the far-source region gradually stabilizes and decays. The signal strength is related to the number of reflections; the more reflections, the weaker the signal strength. When the transmitting end is close to the edge of the roadway wall, the signal attenuation is faster and the fluctuation amplitude is stronger. The signal strength in the roadway is affected by the cross-sectional size of the rectangular roadway, and the larger the length and width dimensions, the better the waveguide can be formed in the roadway. The simulation results of wireless signal transmission in the roadway are compared with the measured results from a coal mine in Ganhe, Huozhou, and the results show that the model established by the 3D ray-tracing method can predict the field strength distribution of wireless signal. This study provides a theoretical foundation and practical guidance for improving the reliability and quality of wireless signal transmission in mine tunnels. Future research directions can further optimize algorithms, enhance transmission rates, and improve interference resistance to meet the needs of wireless communication in mine tunnels.

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Mineralogical compositions and distributions of trace and rare earth elements in Eocene carbonaceous sediments of Western India: implications for paleoenvironment during peat accumulation

Kumar,

Banerjee,

Mustapha

et al. 2024

Environ Earth Sci

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A review of element partitioning in coal preparation

Cited by 16 publications

References 43 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

Modeling and Optimization of Wireless Signal Transmission Characteristics of Mine Roadway Based on 3D Ray-Tracing Method

Mineralogical compositions and distributions of trace and rare earth elements in Eocene carbonaceous sediments of Western India: implications for paleoenvironment during peat accumulation

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