Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning
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 a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
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Sergo Ordzhonikidze Russian State University for Geological Prospecting
2017-08-01
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| Series: | Известия высших учебных заведений: Геология и разведка |
| Subjects: | |
| Online Access: | https://www.geology-mgri.ru/jour/article/view/248 |
| _version_ | 1797878614809640960 |
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| author | V. N. Ekzarian V. V. Rukavitsyn M. V. Zyulyaeva |
| author_facet | V. N. Ekzarian V. V. Rukavitsyn M. V. Zyulyaeva |
| author_sort | V. N. Ekzarian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T02:34:56Z |
| format | Article |
| id | doaj.art-a9a54831291e486ab9765737f3881711 |
| institution | Directory Open Access Journal |
| issn | 0016-7762 2618-8708 |
| language | Russian |
| last_indexed | 2024-04-10T02:34:56Z |
| publishDate | 2017-08-01 |
| publisher | Sergo Ordzhonikidze Russian State University for Geological Prospecting |
| record_format | Article |
| series | Известия высших учебных заведений: Геология и разведка |
| spelling | doaj.art-a9a54831291e486ab9765737f38817112023-03-13T07:51:36ZrusSergo Ordzhonikidze Russian State University for Geological ProspectingИзвестия высших учебных заведений: Геология и разведка0016-77622618-87082017-08-0104727810.32454/0016-7762-2017-4-72-78248Automation of the complex ecological monitoring of the territory of the airport using the method of machine learningV. N. Ekzarian0V. V. Rukavitsyn1M. V. Zyulyaeva2Российский государственный геологоразведочный университетРоссийский государственный геологоразведочный университетРоссийский государственный геологоразведочный университетThe 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.https://www.geology-mgri.ru/jour/article/view/248комплексный экологический мониторингтерритория аэропортаокружающая средамашинное обучение |
| spellingShingle | V. N. Ekzarian V. V. Rukavitsyn M. V. Zyulyaeva Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning Известия высших учебных заведений: Геология и разведка комплексный экологический мониторинг территория аэропорта окружающая среда машинное обучение |
| title | Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| title_full | Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| title_fullStr | Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| title_full_unstemmed | Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| title_short | Automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| title_sort | automation of the complex ecological monitoring of the territory of the airport using the method of machine learning |
| topic | комплексный экологический мониторинг территория аэропорта окружающая среда машинное обучение |
| url | https://www.geology-mgri.ru/jour/article/view/248 |
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