Geochemistry of apatite in Late Permian coals, Bowen Basin, Australia

Davis, Brooke A.; Rodrigues, Sandra; Esterle, Joan; Nguyen, Ai Duc; Duxbury, Alexander J.; Golding, Suzanne D.

doi:10.1016/j.coal.2021.103708

Cited by 6 publications

(1 citation statement)

References 44 publications

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“…Moreover, according to other researchers, fluorine in coal generally occurs in clay minerals, such as kaolinite, montmorillonite, illite, mica, and fluorapatite. 62 − 67 These observations support the association of F with SiO 2 and F with P 2 O 5 of Datanhao coal in the skeleton shown in Figure 6 .…”

Section: Results and Discussionsupporting

confidence: 72%

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: 72%

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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Rare Earth and Critical Element Chemistry of the Volcanic Ash-fall Parting in the Fire Clay Coal, Eastern Kentucky, USA

Liu

Dai

Berti

et al. 2023

Clays and clay miner.

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In the search for rare earth and other critical elements in coal measures, the coals are emphasized with lesser consideration for the accompanying rocks. In this investigation, the focus is on a lanthanide-rich, 315–317 Ma (after Machlus et al., Chemical Geology, 539, art. no. 119485, 2020) volcanic ash-fall trachyandesite to trachyte tonstein which occurs in association with the Middle Pennsylvanian Duckmantian-age Fire Clay coal in eastern Kentucky. The tonstein was deposited largely during peat accumulation, although it is known to occur at the base of the coal or within the underclay. The mineralogy is dominated by kaolinite with illite and quartz as minor to major minerals. A number of accessory minerals, as detected by X-ray diffraction + Siroquant XRD software and scanning and transmission electron microscopy (S/TEM), include REE-bearing phosphates (apatite, crandallite, florencite, monazite), and Y-bearing zircon. The highest rare earth element + Y concentrations occur in the weathered tonsteins, probably due to the concentration of these minerals after weathering of kaolinite from the rock.

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2023

Inorganic Geochemistry of Coal

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Geochemistry of apatite in Late Permian coals, Bowen Basin, Australia

Cited by 6 publications

References 44 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

Rare Earth and Critical Element Chemistry of the Volcanic Ash-fall Parting in the Fire Clay Coal, Eastern Kentucky, USA

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