STATISTICAL METHODS IN THE PREDICTION OF SPONTANEOUS COMBUSTION OF COAL

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The article presents the results of statistical analysis of data obtained from the results of exploration activities, the number of coal deposits with the aim of establishing the degree of danger of spontaneous combustion of coal. The objective of the research was that, using geological data about coal seam, make a prediction of spontaneous combustion of coal. The authors developed an original technique, which is based on ranking the data model, and the idea consisting in the classification data «close» to the reference groups of observations. Obtained at each point of observation (borehole) data on the degree of samovozgoraemost coals allow to show the spatial distribution of different degree of danger of spontaneous combustion of coal within the mine field, private field, etc. through the use of GIS software, such as ArcGIS family.



Keywords

Statistical analysis, the spontaneous combustion of coal, geological factors, the ranking model, the reference group, the standards, the reference point, the hub, the danger of spontaneous combustion.

Issue number: 3
Year: 2016
ISBN:
UDK: 552.574
DOI:
Authors: Smirnova O. S., Golynskaya F. A.

About authors: Golynskaya F.A., Candidate of Geological and Mineralogical Sciences, Associate Professor, National University of Science and Technology «MISiS», 119049, Moscow, Russia, e-mail: ud@msmu.ru, Smirnova O.S., Candidate of Physical and Mathematical Sciences, Lomonosov Moscow State University, Moscow, Russia.

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ral law «On ratification of the Kyoto Protocol to the framework Convention of United Nations on climate change» on November 4, 2004 № 128-FZ).
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