Mineralization of REE-Y-Nb-Ta-Zr-Hf in Wuchiapingian coals from the Liupanshui Coalfield, Guizhou, southwestern China: Geochemical evidence for terrigenous input

Liu, Jingjing; Song, Hongjian; Dai, Shifeng; Nechaev, Victor P.; Graham, Ian T.; French, David; Nechaeva, Evgeniya V.

doi:10.1016/j.oregeorev.2019.103190

Cited by 58 publications

(18 citation statements)

References 80 publications

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“…The low temperature ash yields (LTAs) of coal samples correlated significantly positively with the high temperature ash yields (HTAs) (R 2 = 0.99, Figure 3). However, the LTAs are slightly higher than the HTAs, especially sample PSDZ-8 and PSDZ-9, with LTAs of more than 50%, because minerals could be decomposed under high temperature conditions and new minerals could be formed under low temperature environments [49]. The quantitative mineralogical compositions of the Donggou coal LTAs and non-coal samples are presented in Table 2.…”

Section: Mineralogical Compositionsmentioning

confidence: 99%

“…The enrichment and depletion of trace elements in coal are mainly affected by geological factors such as terrigenous clastic material input, volcanic ash eruption, hydrothermal leaching and sedimentary environment [49,[61][62][63]. To a specific coalfield, there is always one or more geological factors influencing the enrichment and depletion of trace elements in coal.…”

Section: Controlling Geological Originmentioning

confidence: 99%

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Mineralogical and Geochemical Characteristics of Lithium and Rare Earth Elements in High-Sulfur Coal from the Donggou Mine, Chongqing, Southwestern China

et al. 2020

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Coal and coal by-products are considered as the potential raw materials for critical elements (e.g., rare earth elements, Li, Ga, Ge, etc.), which have attracted much attention in recent years. The purpose of this study is to investigate the mineralogical and geochemical characteristics, and controlling geological factors of lithium and rare earth elements in the Lopingian (Wujiaping Formation) coal from the Donggou Mine, southeastern Chongqing Coalfield, China. Results indicate that lithium and rare earth elements are significantly enriched in the Donggou coals, which could be new potential alternative sources for critical elements. Concentrations of lithium and rare earth elements in the Donggou coals gradually increase from top to bottom. Lithium is mainly associated with kaolinite, while rhabdophane, florencite, goyazite, and xenotime are the main hosts of rare earth elements. The controlling geological factor is the groundwater leaching of underlying tuff, and to a lesser extent, the terrigenous clastic materials input from the top layer of the Kangdian Upland. This study provides mineralization information for lithium and rare earth elements exploration in coal measures.

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Section: Mineralogical Compositionsmentioning

confidence: 99%

Section: Controlling Geological Originmentioning

confidence: 99%

Mineralogical and Geochemical Characteristics of Lithium and Rare Earth Elements in High-Sulfur Coal from the Donggou Mine, Chongqing, Southwestern China

et al. 2020

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“…Tobelite, although only detected in the roof sample PR-4-T by XRD, is a typical mineral in tonsteins of Permo-Carboniferous coal accumulation area of Northern China [47]. Based on the previously published literature, tobelite is almost exclusively observed in high-rank coals and formed by interaction of already present K-illite and/or kaolinite with nitrogen which released by decomposition of organic matter during rank advance or hydrothermal alteration [48][49][50][51][52][53]. In present study, illite has not been detected by XRD or SEM-EDS, we deduced that tobelite may be formed from the interaction of kaolinite and nitrogen which is similar to the Permian coals in Tongzi Coalfield [51].…”

Section: Silicate Mineralsmentioning

confidence: 99%

Geological Controls on Mineralogy and Geochemistry of the Permian and Jurassic Coals in the Shanbei Coalfield, Shaanxi Province, North China

Shangguan

Zhuang

et al. 2020

Minerals

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Coal as the source of critical elements has attracted much attention and the enrichment mechanisms are of significant importance. This paper has an opportunity to investigate the mineralogical and geochemical characteristics of the Permian and Jurassic bituminous coals and associated non-coals from two underground coal mines in the Shanbei Coalfield (Northeast Ordos basin), Shaanxi Province, North China, based on the analysis of X-ray diffraction (XRD), inductively coupled plasma atomic-emission spectrometry (ICP-AES/MS), and scanning electron microscopy-energy-dispersive X-ray spectroscopy (SEM-EDS). The Jurassic and Permian coals have similar chemical features excluding ash yield, which is significantly higher in the Permian coals. Major mineral matters in the Jurassic coals are quartz, kaolinite, and calcite. By contrast, mineral assemblages of the Permian coals are dominated by kaolinite; and apatite occurring in the middle section’s partings. The Jurassic coals are only enriched in B, whereas the Permian coals are enriched in some trace elements (e.g., Nb, Ta, Th, and REY). Boron has a mixed inorganic and organic association which may be absorbed by organic matter from fluid (or groundwater) or inherited from coal-forming plants. Additionally, climatic variation also plays an important role. As for the Permian coals, kaolinite and apatite as the major carriers of elevated elements; the former were derived from the sedimentary source region (the Yinshan Oldland and the Benxi formation) and later precipitated from Ca-, and P-rich solutions. We deduced that those elevated elements may be controlled by the source rock and diagenetic fluid input. The findings of this work offered new data to figure out the mechanism of trace element enrichment of coal in the Ordos basin.

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“…Here, x j can be assigned with Al 2 O 3 because aluminum is a stable element during peat accumulation, diagenetic and epigenetic processes relative to other major elements (such as Na, Mg, Si, K, Ca) [21][22][23][24][25][26][27][28][29][30], although Al is somewhat mobile in some very specific geological conditions [11,25].…”

Section: Improved Additive Log-ratio Transformationmentioning

confidence: 99%

Towards Consistent Interpretations of Coal Geochemistry Data on Whole-Coal versus Ash Bases through Machine Learning

Peng

et al. 2020

Minerals

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Coal geochemistry compositional data on whole-coal basis can be converted back to ash basis based on samples' loss on ignition. However, the correlation between the concentrations of elements reported on whole-coal versus ash bases in many cases is inconsistent. Traditional statistical methods (e.g., correlation analysis) for compositional data on both bases may sometimes result in misleading results. To address this issue, we hereby propose an improved additive log-ratio data transformation method for analyzing the correlation between element concentrations reported on whole-coal versus ash bases. To verify the validity of the method proposed in this study, a data set which contains comprehensive analyses of 106 Late Paleozoic coal samples from the Datanhao mine and Adaohai Mine, Inner Mongolia, China, is used for the validity testing. A prediction model was built for performance evaluation of two methods based on the hierarchical clustering algorithm. The results show that the improved additive log-ratio is more effective in prediction for occurrence modes of elements in coal than the previously reported stability method, and therefore can be adopted for consistent interpretations of coal geochemistry compositional data on whole-coal vs. ash bases.

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Mineralization of REE-Y-Nb-Ta-Zr-Hf in Wuchiapingian coals from the Liupanshui Coalfield, Guizhou, southwestern China: Geochemical evidence for terrigenous input

Cited by 58 publications

References 80 publications

Mineralogical and Geochemical Characteristics of Lithium and Rare Earth Elements in High-Sulfur Coal from the Donggou Mine, Chongqing, Southwestern China

Mineralogical and Geochemical Characteristics of Lithium and Rare Earth Elements in High-Sulfur Coal from the Donggou Mine, Chongqing, Southwestern China

Geological Controls on Mineralogy and Geochemistry of the Permian and Jurassic Coals in the Shanbei Coalfield, Shaanxi Province, North China

Towards Consistent Interpretations of Coal Geochemistry Data on Whole-Coal versus Ash Bases through Machine Learning

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