Development and use of Digital Technology when Studying of Environment


Digital classification technology, G-mode, mine water chemical composition.

How to Cite

A.I. Gavrishin. (2019). Development and use of Digital Technology when Studying of Environment. Journal of Advances in Applied & Computational Mathematics, 6, 22–28.


 The aim of the research is to show the possibilities of using digital classification technology in the study of patterns of formation of natural-anthropogenic systems. With the help of the original digital computer classification technology, AGAT-2 identified the types of chemical composition of mine waters in the Eastern Donbass and assessed their impact on the environment. All surveyed periods (20 years, 1966, 1992 and 2015) discovered four main types of composition of mine waters. The first type is the acidic sulphate water with high concentrations of metals Which causes the most heavy environmental pollution. The second type is formed by chloride-sulphate waters, the third by sulfatechloride to a lesser extent enriched with metals. The fourth type is formed by soda water, which may indicate the presence of oil fields in the region. An assessment of pollution of groundwater and surface water is given.


Akopov AS. Simulation. M.: Nauka 2018; p. 389.

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

Buhtojarov VV. Three-stage evolutionary method of forming ensembles of neural networks for solving classification tasks. Software Products and Systems 2012; 4: 101-106.

Coradini A, and 32 colleagues. Identification of spectral units on Phoebe. ICARUS 2008; 193(1): 233-251.

Fomin JA. Pattern recognition: theory and application. M.: PHASIS 2012; p. 429.

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.

Gavrishin AI. Multidimensional Classification Method in the Study of Natural and Anthropogenic Systems. Journal of Advances in Applied & Computational Mathematics 2018; 5: 16-21.

Gavrishin AI. Development and application of digital classification technology. G-method. Modern High Technologies 2019; 7: 25-29.

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.

Hatvani IG, and five colleagues. Analysis of long term water quality changes in the Kis-Balaton Water Protection System with time series- cluster analysis and Wilks’ lambda distribution. Ecol Eng 2011; 37(4): 629-635.

Juravlev YI. On the algebraic approach to solving the problems of recognition or classification. Problems of cybernetics. M.: Science 2005; 33: 5-68.

Katasev AS, Emaletdinova LY. Fuzzy-production cascading model of diagnosing the condition of a complex object. Software Systems and Computational Methods 2013; 1: 69- 81.

Korponai J, and six colleagues. Transition from shallow lake to a wetland: a multi-proxy case study in Zalavari Pond, Lake Balaton, Hungary. Hydrobiologia 2010; 641(1): 225-244.

Kovacs J, and five colleagues. Key question of sampling frequency estimation during system calibration, on the example of the Kis-Balaton Water Protection System’s data series. Georgikon for Agriculture 2011; 14(1): 53-68.

Mokhov AV. The Hydrogeochemical Structure of Water Bodies in Flooded Openings of Coal Mines. Doklady Earth Sciences 2012; 445(1): 903-905.

Orosei R, and six colleagues. Self-affine behavior of Martian topography at kilometer scale from Mars Orbiter Laser Altimeter data. Journal of Geophysical Research 2003; 108(E4) (8023): GDS 4-1 - 4-10.

Ritter A, Munoz-Carpena R, Bosch DD. Agricultural land use and hydrology affect variability of shallow groundwater nitrate concentration in South Florida. Hydrological Processes 2007; 21(18): 2464-2473.

Tossi F, and seven colleagues. G-mode classification of spectroscopic data. Earth, Moon and Planets 2005; 96: 165- 197.

Tutu H, McCarthy TS, Cukrowska EM. The chemical characteristics of acid mine drainage with particular reference to sources, distribution and remediation: the Witwatersrand Basin, South Africa, as a case study. Applied Geochemistry 2008; 23: 3666-3684.

Zakrutkin VE, Sklyarenko GY. The influence of coal mining on groundwater pollution (Eastern Donbass). International multidisciplinary Scientific Geo Conference Surveying Geology and Mining Ecology Management, SGEM 15th. 2015; pp. 927-932.

All the published articles are licensed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.