Mineral matter, major and trace element content of the Afşin–Elbistan coals, Kahramanmaraş, Turkey

Sütcü, Emine Cicioğlu; Karayi̇ǧi̇t, Ali̇ İhsan

doi:10.1016/j.coal.2015.04.007

Cited by 29 publications

(12 citation statements)

References 40 publications

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“…Mixed organic/inorganic affinity (Beaton et al, 1991;Querol et al, 1997a;Sutcu, Karayiğit, 2015) or predominant inorganic affinity of Fe (Gluskoter et al, 1977;Querol et al, 1997bQuerol et al, , 2001aLiu et al, 2001;Zhao et al, 2017Zhao et al, , 2020Životić et al, 2019;Karayiğit et al, 2020) are much more readily reported. The research of Querol et al (2001b) on the mode of occurrence of selected elements in coal indicates organic affinity of only ~5-12% of iron.…”

Section: Resultsmentioning

confidence: 99%

Factors controlling the occurrence and distribution of iron in Bulgarian coals

Zdravkov¹

2020

Rev. Bulg. Geol. Soc.

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Coal of varying age (Upper Carboniferous to Pliocene) and coalification rank (lignite to anthracite) from nineteen coal-bearing basins and deposits, belonging to 8 coal-bearing provinces from Bulgaria, were examined for the occurrence and distribution of Fe. For the majority of the coals, the average Fe concentrations vary from 1.1 to 10.2 wt% and are higher than the World’s average. An exception exists only for Karlovo and Dobrudzha Basins, where slight depletion of Fe (<1 wt%) was established. On contrary, carbonaceous shales from the majority of the basins show Fe depletion in comparison to the Clarke values for clays. Based on the negative correlations with the ash yields, organic affinity of the element can be suggested for most of the studied coals. An exception exists for the Burgas Basin, for which predominantly inorganic affinity of the element can be suggested, whereas for Stanyantsi, Samokov, Bobov Dol, Dobrudzha and Svoge Basins mixed organic/inorganic affinity of Fe can be presumed. The element most probably predominantly occurs in the form of organometallic compounds, especially in the coals that formed in preferentially acidic peat-forming environment. Nevertheless, small contribution from biogenic iron cannot be excluded. The mineral form of Fe is probably mainly associated with sulfides, carbonates, and sulfates, although the presence of Fe oxides, silicates and hydroxides is also established. The analysis of Fe occurrence and its organic/inorganic affinity in Bulgarian coals reveal the following controlling factors: i) Fe concentration within the basin’s provenance; ii) the type (i.e. terrigenous or groundwater) of element supply; and iii) environmental conditions during peat-formation.

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Section: Resultsmentioning

confidence: 99%

Factors controlling the occurrence and distribution of iron in Bulgarian coals

Zdravkov¹

2020

Rev. Bulg. Geol. Soc.

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“…The mode or form of occurrence of trace elements may control po tential hazardous effects to human health (FINKELMAN et al, 2002) and the environment. Numerous studies performed in SE Europe on Greek (CHATZIAPOSTOLOU et al, 2006;GENTZIS et al, 1996GENTZIS et al, , 1997GEORGAKOPOULOS, 2001;FILIPPIDIS et al, 1996;FOSCOLOS et al, 1998;KOUKOUZAS et al, 2010), Bulgarian (KOSTOVA & ZDRAVKOV, 2007;VASSILEV & VASILEVA, 1998VASSILEV et al, 2001VASSI LEVA & VASSILEV, 2005) and Turkish lignites (GÜRDAL, 2011;2001;PALMER et al, 2004;SUTCU & KARAYIGIT, 2015; of similar age and rank as the Kovin lig nite, have focused on the mineral matter and major and trace el ements contents.…”

Section: Introductionmentioning

confidence: 99%

Distribution of major and trace elements in the Kovin lignite (Serbia)

Životić¹,

Cvetković²,

Vulić³

et al. 2019

Geol Cro

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A geochemical and mineralogical study was performed on lignite samples from the Upper Miocene Kovin deposit, hosting three coal seams. The Kovin lignite is characterized by high moisture content, medium to high ash yield, medium to high sulphur content and a relatively low gross and net calorific value. The mineralogical composition, and major and trace element contents were determined by X-ray diffraction, scanning electron microscopy with energy dispersive Xray spectroscopy (SEM-EDS) analyses, and inductively coupled plasma optical emission spectrometry (ICP-OES). The most abundant minerals in all lignite samples from the three coal seams are clays (illite/smectite), silicates (quartz, plagioclase), sulphates (gypsum/anhydrite) and carbonate (calcite). The other iron-rich minerals are sulphides, oxides and hydroxides (pyrite, magnetite, haematite, and limonite). In general, mineral matter in the matrix coal consists of illite/ smectite and quartz, while xylite-rich coals, apart from illite/smectite, have a higher content of sulphates and Fe-oxide/hydroxide minerals. The lignite from the Kovin deposit is enriched in As,

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“…Recently, prompt gamma neutron activation analysis (PGNAA) and X-ray fluorescence spectroscopy (XRF) have been utilized in commercially fast and online analytical equipment installed on coal conveyor belts. 1,2 However, strong drawbacks of large size, price, and potential security exhibited in these techniques has limitations for extensive field application.…”

Section: Introductionmentioning

confidence: 99%

Development of a Rapid Coal Analyzer Using Laser-Induced Breakdown Spectroscopy (LIBS)

Yao

Zhao

et al. 2018

Appl Spectrosc

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Determination of coal quality plays a major role in coal-fired power plants and coal producers for optimizing the utilization efficiency and controlling the quality. In this work, a rapid coal analyzer based on laser-induced breakdown spectroscopy (LIBS) was developed for rapid quality analysis of pulverized coal. The structure of the LIBS apparatus was introduced in detail. To avoid time-consuming and complicated sample preparation, a pulverized feeding machine was designed to form a continuously stable coal particle flow. The standard deviation (SD) of characteristic peaks was used to estimate the spectral valid data in this experiment. Coupled with cluster analysis, artificial neural networks and genetic algorithm are employed as a nonlinear regression method in order to indicate the relationship between coal quality and the corresponding plasma spectra. It is shown that the average absolute error of ash, volatile matter, fixed carbon, and gross calorific value for the validation set is 0.82%, 0.85%, 0.96%, and 0.48 MJ/kg. The average standard deviation of repeated samples is 1.64%, 0.92%, 1.08%, and 0.86 MJ/kg, showing a high sample-to-sample repeatability. This rapid coal analyzer is capable of performing reliable and accurate analysis of coal quality.

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Mineral matter, major and trace element content of the Afşin–Elbistan coals, Kahramanmaraş, Turkey

Cited by 29 publications

References 40 publications

Factors controlling the occurrence and distribution of iron in Bulgarian coals

Factors controlling the occurrence and distribution of iron in Bulgarian coals

Distribution of major and trace elements in the Kovin lignite (Serbia)

Development of a Rapid Coal Analyzer Using Laser-Induced Breakdown Spectroscopy (LIBS)

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