Application of multivariate statistical analysis and a geographic information system to trace element contamination in the Chungnam Coal Mine area, Korea

Hwang, Chun Kil; Cha, Jongmun; Kim, Kyoung-Woong; Lee, Hyun-Koo

doi:10.1016/s0883-2927(01)00053-1

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…Along with the scanning electron microscope, electron microprobe methods have also been employed to determine the composition of particular minerals in coal polished sections (Patterson et al, 1994;Zodrow and Cleal, 1999) as well as to investigate the relationship between the organic constituents and the mineral matter in coal Ward et al, 2006). Many studies also explored the influence of mineral matter to coal utilization (Chang et al, 2004;Keller et al, 2014;Maldonado-Hódar et al, 1995) and examined the effect of trace element present in coal to the environment (Cabon et al, 2007;Clemens et al, 2000;Finkelman, 1995;Hwang et al, 2001;Kolker and Finkelman, 1998;Kolker et al, 2009).…”

Section: Work On Mineral Matter On Coalmentioning

confidence: 99%

Mineral Matter in Coal

Susilawati¹

2015

buletin sdg

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The term “mineral matter” in coal is defined as all inorganic, non-combustible material that is in or associated with coal which include discrete crystalline mineral particles, dissolved ions and other inorganic components in the pore water or surface water of the coal, and inorganic elements combined within the organic compounds of the coal macerals. The minerals existing in coal are aresult of processes that occur throughout the entire history of coal formation. Its distribution is influenced by biological, hydrological and geochemical factors. Quartz and the clay minerals are the most widespread and abundant mineral found in coal. Another common minerals are feldspars and carbonate in the form of siderite, calcite and dolomite and sulfide minerals such as pyrite. Coal mineral matter analysis and characterization are useful for various reasons, particularly to take as much as benefit from coal utilization and to avoid any negative influence of coal inorganic components to the environment.

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Section: Work On Mineral Matter On Coalmentioning

confidence: 99%

Mineral Matter in Coal

Susilawati¹

2015

buletin sdg

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“…Chork and Salminen, 1993) or contamination studies (e.g. Hwang et al, 2001). Some studies use PCA to detect human influence on water or soil chemistry (Fitzpatrick et al, 2007).…”

Section: Factor Analysis Of Geochemical Datamentioning

confidence: 99%

“…Possible sources for carbonate in this catchment are debris from carbonate rocks, carbonate from loess and autochthonous production of carbonate in the lake. The factor scores were plotted as points and not interpolated, since this is the most objective approach (Hwang et al, 2001).…”

Section: Interpretation and Spatial Distribution Of Loadingsmentioning

confidence: 99%

Environmental conditions in the Donggi Cona lake catchment, NE Tibetan Plateau, based on factor analysis of geochemical data

IJmker

Stauch

Hartmann

et al. 2012

Journal of Asian Earth Sciences

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“…Along with the development of machine learning, multivariate analytical technology has been applied in some different areas of the geochemical research, the fourth paradigm for the research is becoming a more and more powerful tool to find a solution among the mass data. The multivariate analysis has been used to study the water characteristics [29], source [30,31], groundwater pathway [32][33][34], etc. By using the method of multivariate technology, it is possible to disclose the leaching mechanism from the view of trace element occurrence and leaching behavior.…”

Section: Introductionmentioning

confidence: 99%

Leaching Mechanisms of Trace Elements from Coal and Host Rock Using Method of Data Mining

Shan¹

2022

Artificial Intelligence

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Coal and host rock, including the gangue dump, are important sources of toxic elements, which have high-contaminating potential to surface and groundwater. Surface water in the coal mine area and groundwater in the active or abandoned coal mines have been observed to be polluted by trace elements, such as arsenic, mercury, lead, selenium, cadmium. It is helpful to control pollution caused by the trace elements by understanding the leaching behavior and mechanism. The leaching and migration of the trace elements are controlled mainly by two factors, trace elements’ occurrence and the surrounding environment. The traditional method to investigate elements’ occurrence and leaching mechanism is based on the geochemical method. In this research, the data mining method was applied to find the relationship and patterns, which is concealed in the data matrix. From the geochemical point of view, the patterns mean the occurrence and leaching mechanism of trace elements from coal and host rock. An unsupervised machine learning method, principal component analysis was applied to reduce dimensions of data matrix of solid and liquid samples, and then, the re-calculated data were clustered to find its co-existing pattern using the method of Gaussian mixture model.

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Application of multivariate statistical analysis and a geographic information system to trace element contamination in the Chungnam Coal Mine area, Korea

Cited by 13 publications

References 5 publications

Mineral Matter in Coal

Mineral Matter in Coal

Environmental conditions in the Donggi Cona lake catchment, NE Tibetan Plateau, based on factor analysis of geochemical data

Leaching Mechanisms of Trace Elements from Coal and Host Rock Using Method of Data Mining

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