Multidimensional Classification Method in the Study of Natural and Anthropogenic Systems
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Keywords

Criterion Z2, Classification, G- method, Taxonomic structure, Modeling, Mine water, Eastern Donbass.

How to Cite

A.I. Gavrishin. (2018). Multidimensional Classification Method in the Study of Natural and Anthropogenic Systems. Journal of Advances in Applied &Amp; Computational Mathematics, 5, 16–21. https://doi.org/10.15377/2409-5761.2018.05.3

Abstract

 In this article the problem of build and use classification of multivariate observations; this issue has played a leading role in the knowledge of the world around us. When studying natural- anthropogenic systems have the greatest value probably-statistical simulation methods of objects, phenomena and processes. Among classification technologies to focus on situations of constructing classifications if there is no a priori information about the taxonomic structure of the observations. In the work described the rationale for the original statistical criterion Z2 and G-classification methods of multivariate observations. This used quantity conversion method dependent traits in an equivalent number of independent. G-method lets you select homogeneous classes and sub-classes of observations, evaluate differences between taxons, determine the informative signs and much more. The application of the classification shown in the case study method regularities of formation of chemical composition of mine waters in the Eastern Donbass. It is four main types of changes in the composition of mine waters: the first type has the most significant impact on environmental degradation in the region; the second and third types reflects the influence composition of groundwater chloride in the composition of mine water; the fourth type is the soda water, which may indicate the presence of the region's oil and gas fields.
https://doi.org/10.15377/2409-5761.2018.05.3
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References

Gavrishin AI. Hydrogeochemical studies using mathematical statistics and computing. M.: Nedra 1974; 146 p.

Bagrov AA. On an equivalent number of independent data. Works of Hydrometeorological Center 1969; 44: PP 3-11.

Gavrishin AI. The Methodological Aspect of Development and Application Multivariate Classification G-Mode for Analyses Geochemical Trend // Journal of Advances in Applied & Computational Mathematics 2014; 1(1): 21-27. https://doi.org/10.15377/2409-5761.2014.01.01.4

Gavrishin AI. Mine Waters of the Eastern Donbass and Their Effect on the Chemistry of Groundwater and Surface Water in the Region // Water Resources. 2018; 45(5): 785-794. https://doi.org/10.1134/S0097807818050081

M.Fulchignoni, M.A.Barucci, E.F.Tedesco. A classification of G-mode and the three-parameter asteroids taxonomic classification techniques using a common data set. Planetary and Space science 1995; 43: 691-694. https://doi.org/10.1016/0032-0633(94)00195-W

Tossi F, Orosei R, Coradini A. and 21 colleagues. Correlations between VIMS and RADAR data over the surfer of Titan: Implications for Titans surface properties. // Icarus 2010; 208(1): 366-384. https://doi.org/10.1016/j.icarus.2010.02.003

Coradini A, Tossi F, Adriani A. and 32 colleagues. Identification of spectral units on Phoebe. // Icarus 2008; 193(1): 233-251. https://doi.org/10.1016/j.icarus.2007.07.023

Gavrishin AI, Coradini A. The origin and the formation laws of groundwater and mine water chemistry in the Eastern Donets Basin. // Water Resources 2009; 36(5): 38-547. https://doi.org/10.1134/S0097807809050066

Sakrutkin VE, Sklyarenko GY. The influence of coal mining on groundwater pollution (Eaestern Donbass). International Multidisciplinary Scientific GeoConference Surveying and Mining Ecology Management, SGEM, 15th, PP 927-932.

Borisova VE, Serbinovskaya AM. Alternative methods of mine waters purification in Eastern Donbass. In the collection "Science. Education. Culture ". Novocherkassk: SRSTU 2016; 153-156.

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Copyright (c) 2018 A.I. Gavrishin