Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning
https://doi.org/10.32454/0016-7762-2017-4-72-78
Abstract
The main criteria of the airport territory pollution have been revealed during both studying of the data for the ecological conditions of the various airports of the world and carrying out a number of the field measurements. They have been: atmospheric air analysis, analysis of the ground, surface and waste water, measurements of the noise. The structure of such system, the sources of its data and the functionality have been described. The system of the environmental forecasts formation with machine learning elements has been presented. It includes stations of the automatic environmental monitoring, a subsystem of the information analysis and a subsystem of the processed information publication.
About the Authors
V. N. Ekzarian
Russian State Geological Prospecting University
Russian Federation
Russian Federation
V. V. Rukavitsyn
Russian State Geological Prospecting University
Russian Federation
Russian Federation
M. V. Zyulyaeva
Russian State Geological Prospecting University
Russian Federation
Russian Federation
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Review
For citations:
Ekzarian V.N., Rukavitsyn V.V., Zyulyaeva M.V. Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning. Proceedings of higher educational establishments. Geology and Exploration. 2017;(4):72-78. (In Russ.) https://doi.org/10.32454/0016-7762-2017-4-72-78
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