Труды сотрудников ИВМ СО РАН

[Текст] : доклад, тезисы доклада / О. Э. Якубайлик, А. А. Кадочников, А. В. Токарев // Обработка пространственных данных в задачах мониторинга природных и антропогенных процессов : труды Всероссийской конференции. - Новосибирск : Институт вычислительных технологий Сибирского отделения РАН, 2017. - С. 44-48 . - ISBN 978-5-905569-08-1
Аннотация: Рассматриваются функциональные возможности, архитектурные особенности, пользовательский интерфейс геоинформационной веб-системы экологического мониторинга г. Красноярска, которая создается в сервис-ориентированной архитектуре. Реализован сбор данных с автоматизированных постов наблюдений за состоянием атмосферного воздуха, разработан оригинальный прибор для измерения уровня загрязнения атмосферы мелкодисперсной пылью PM 2.5.Оценка уровня загрязнения атмосферы осуществляется на основе индекса качества атмосферы AQI.

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Держатели документа:
Сибирский федеральный университет
Федеральный исследовательский центр "Красноярский научный центр Сибирского отделения Российской академии наук

Доп.точки доступа:
Якубайлик, О.Э.; Yakubailik O.E.; Кадочников, А.А.; Kadochnikov A.A.; Токарев, А.В.; Tokarev A.V.; Обработка пространственных данных в задачах мониторинга природных и антропогенных процессов(2017 ; 29.08 - 31.08 ; Бердск)
Нет сведений об экземплярах (Источник в БД не найден)

/ O. E. Yakubaylik, A. A. Kadochnikov, A. V. Tokarev // CEUR Workshop Proceedings : CEUR-WS, 2017. - Vol. 2033: 2017 All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes, SDM 2017 (29 August 2017 through 31 August 2017, ) Conference code: 132851. - С. 44-48 . -
Аннотация: The functionality, architectural features, the user interface of the geoinformation web-system of environmental monitoring of Krasnoyarsk is discussed. This system is created in service-oriented architecture. Data collection from the automated stations to monitor the state of atmospheric air has been implemented. An original device to measure the level of contamination of the atmosphere by fine dust PM2.5 has developed. Assessment of the level of air pollution is based on the quality index AQI atmosphere.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of Siberian Branch of Russian Academy of Sciences, Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Yakubaylik, O. E.; Kadochnikov, A. A.; Tokarev, A. V.

/ N. Shaparev [et al.] // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2018. - Vol. 363: 2nd International Conference on Cognitive Robotics (22 November 2017 through 25 November 2017, ) Conference code: 136885, Is. 1, DOI 10.1088/1757-899X/363/1/012034 . -
Аннотация: The functionality, architectural features, the user interface of the geoinformation web-system of environmental monitoring of Krasnoyarsk is discussed. This system is created in service-oriented architecture. Data collection from the automated stations to monitor the state of atmospheric air has been implemented. An original device to measure the level of contamination of the atmosphere by fine dust PM2.5 has developed. Assessment of the level of air pollution is based on the quality index AQI atmosphere. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Institute of Computational Modeling SB RAS, Krasnoyarsk, Russian Federation
National Research Tomsk State University, Tomsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Shaparev, N.; Tokarev, A.; Yakubailik, O.; Soldatov, A.

/ O. E. Yakubailik, A. A. Kadochnikov, A. V. Tokarev // Optoelectron. Instrum. Data Proc. - 2018. - Vol. 54, Is. 3. - P243-249, DOI 10.3103/S8756699018030056. - Cited References:12 . - ISSN 8756-6990. - ISSN 1934-7944РУБ Physics, Multidisciplinary

Аннотация: This paper touches upon the experience of research and development of hardware and software for air pollution monitoring of industrial cities, carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences. Functional possibilities, architectural features, and user interface of the distributed web geographic information system of ecological monitoring of the city of Krasnoyarsk, which is being developed in service-oriented architecture, are discussed. Data are collected from automated posts for observing the state of atmospheric air and services of aggregation and representation of information in the form of interactive graphs and thematic maps in the web interface. An original device is developed for measuring the pollution level of the atmosphere with fine dust (PM2.5), the data from which is fed in real time to the system via a cellular network. A system is formed for integral assessment of the pollution level of the atmosphere based on Air Quality Index (AQI) calculations.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Akademgorodok 50,Bldg 44, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Pr Svobodnyi 79, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Yakubailik, O. E.; Kadochnikov, A. A.; Tokarev, A. V.; Yakubailik, Oleg

: статья / Олег Эдуардович Якубайлик, Алексей Анатольевич Кадочников, Алексей Владимирович Токарев // Автометрия. - 2018. - Т. 54, № 3. - С. 39-46, DOI 10.15372/AUT20180305 . - ISSN 0320-7102
   Перевод заглавия: Geoinformational web system and instrumental measurement of operational estimation of atmospheric pollution

УДК

519.6 + 004.4

504.05

Аннотация: Рассматривается опыт исследований и разработок программных и аппаратных средств для мониторинга загрязнения атмосферы промышленного города, выполненных в Институте вычислительного моделирования СО РАН. Обсуждаются функциональные возможности, архитектурные особенности, пользовательский интерфейс распределённой геоинформационной веб-системы экологического мониторинга г. Красноярска, которая создаётся в сервис-ориентированной архитектуре. Реализованы сбор данных с автоматизированных постов наблюдений за состоянием атмосферного воздуха, сервисы агрегации и представления информации в виде интерактивных графиков и тематических карт в веб-интерфейсе. Разработан оригинальный прибор для измерения уровня загрязнения атмосферы мелкодисперсной пылью (PM2.5), данные с которого в реальном времени поступают в систему через сотовую сеть. Сформирована система интегральной оценки уровня загрязнения атмосферы, основанная на вычислениях индекса качества атмосферы (AQI).
This paper touches upon the experience of research and development of software and hardware for monitoring atmospheric pollution of industrial cities, carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences. Functional possibilities, architectural features, and user interface of the distributed geoinformation web-system of ecological monitoring of the city of Krasnoyarsk, which is being developed in service-oriented architecture, are discussed. Data are collected from automated posts for observing the state of atmospheric air and services of aggregation and representation of information in the form of interactive graphs and thematic maps in the web interface. An original device is developed for measuring the pollution level of the atmosphere with fine dust (PM2.5), the data from which is fed in real time to the system via a cellular network. A system is formed for integral assessment of the pollution level of the atmosphere based on Atmospheric Quality Index (AQI) calculations.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский федеральный университет

Доп.точки доступа:
Якубайлик, Олег Эдуардович; Yakubailik O.E.; Кадочников, Алексей Анатольевич; Kadochnikov A.A.; Токарев, Алексей Владимирович; Tokarev A.V.

/ O. E. Yakubailik, A. A. Kadochnikov, A. V. Tokarev // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2018. - Vol. 211: International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 (5 July 2018 through 11 July 2018, ) Conference code: 143586, Is. 1, DOI 10.1088/1755-1315/211/1/012080 . -
Аннотация: Experience of research and development of hardware and software for air pollution monitoring of industrial cities carried out at the Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences is presented. The functional possibilities, architectural features, and user interface of a distributed web geographic information system of ecological monitoring of the city of Krasnoyarsk, which is being developed in a service-oriented architecture, are discussed. Data from automated posts for observing the atmospheric air are collected. The services developed for data aggregation and information web presentation in the form of interactive graphs and thematic maps are discussed. An original device has been developed for measuring fine dust (PM2.5) pollution in the atmosphere to feed the data in real time to the system via a cellular network. A system for integral assessment of pollution in the atmosphere based on Air Quality Index (AQI) calculations has been created. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Science, Akademgorodok 50/44, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Yakubailik, O. E.; Kadochnikov, A. A.; Tokarev, A. V.

/ A. V. Tokarev, N. Ya. Shaparev // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2019. - Vol. 537: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019 (4 April 2019 through 6 April 2019, ) Conference code: 149243, Is. 6, DOI 10.1088/1757-899X/537/6/062055 . -
Аннотация: This study examines the state of the atmosphere in Krasnoyarsk in terms of sustainable development, and based on atmospheric pollution indexes API-5, AQI. The data presented in state reports on the state of the environment from 2007 to 2017, as well as monitoring data obtained from automated observation posts located in the city territory were used. © 2019 IOP Publishing Ltd. All rights reserved.

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Держатели документа:
Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, 660036, Russian Federation
Institute of Computational Modeling, SB RAS, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Tokarev, A. V.; Shaparev, N. Ya.

/ N. Shaparev, A. Tokarev, O. Yakubailik // Int. J. Sustain. Dev. World Ecol., DOI 10.1080/13504509.2019.1699879. - Cited References:23 . - Article in press. - ISSN 1350-4509. - ISSN 1745-2627РУБ Green & Sustainable Science & Technology + Ecology

Аннотация: The article deals with the state of the atmosphere of Krasnoyarsk (Russia) over the period 2007-2017 in the indicators of sustainable development adopted by the UN, developed in the USA and Russia. For this purpose, data from annual State reports on the state of the environment and recordings from automated city monitoring stations are used. The dynamics of gross emissions of pollutants into the city atmosphere, the annual state of air quality and air quality in real time in 2018 are analyzed. The dependence of the Air Quality Index on weather conditions is investigated.

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Держатели документа:
Inst Computat Modeling SB RAS, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Natl Res Tomsk State Univ, Tomsk, Russia.

Доп.точки доступа:
Shaparev, N.; Tokarev, A.; Yakubailik, O.

/ A. Tokarev, N. Shaparev // Proceedings of SPIE - The International Society for Optical Engineering : SPIE, 2019. - Vol. 11208: 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2019 (30 June 2019 through 5 July 2019, ) Conference code: 156374. - Ст. 112082Y, DOI 10.1117/12.2539111 . -
Аннотация: In this paper, we calculated the air quality index (AQI) for 2018 based on data from automated observation posts located in the city of Krasnoyarsk. The influence of individual components (pollutants) on the index value is analyzed. © 2019 SPIE.

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Держатели документа:
Institute of Computational Modeling SB RAS, Krasnoyarsk, 660036, Russian Federation
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, 660036, Russian Federation
National Research Tomsk State University, Tomsk, 634050, Russian Federation

Доп.точки доступа:
Tokarev, A.; Shaparev, N.