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The paper discusses the algorithms for developing a network for automated monitoring of the city's atmospheric air quality, which provides for independent monitoring to fulfill the eleventh sustainable development indicator for Ukraine. The study considers the implementation of automated monitoring of atmospheric conditions through real-time sensors that provide indicative measurements of various air pollution parameters. The possibility of using the “Oxygen” air quality monitoring station is considered. This station allows for monitoring and recording key atmospheric indicators, such as humidity, temperature, dust concentrations (PM10 and PM2.5), as well as levels of CO, NO2, and NH3. The functionality of the “Oxygen” station not only provides real-time air quality data but also enables the archiving of large datasets for forecasting and assessing pollution indices and health risks. This can be managed through a personal account on the EcoCity website. Experimental research was conducted by measuring the peak concentrations of CO, NH3, PM10, and PM2.5 in the air using an air quality monitoring station. During the study, the TLV were not exceeded, although there was a periodic excess of NO2 concentration. The data show a harmful effect, mostly of transport vehicles, on the environmental and public healthy in the studied area.

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Management of an Automated Air Quality Monitoring System to Achieve Sustainable Development Goals

  • 会议论文

  • 发表日期：

    2025年

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  • Serhii Kolomiіets,
  • Viktoriia Khrutba,
  • Oksana Kobzysta,
  • Anna Kolomiіets,
  • Valentyna Shevchenko

摘要

The paper discusses the algorithms for developing a network for automated monitoring of the city's atmospheric air quality, which provides for independent monitoring to fulfill the eleventh sustainable development indicator for Ukraine. The study considers the implementation of automated monitoring of atmospheric conditions through real-time sensors that provide indicative measurements of various air pollution parameters. The possibility of using the “Oxygen” air quality monitoring station is considered. This station allows for monitoring and recording key atmospheric indicators, such as humidity, temperature, dust concentrations (PM10 and PM2.5), as well as levels of CO, NO2, and NH3. The functionality of the “Oxygen” station not only provides real-time air quality data but also enables the archiving of large datasets for forecasting and assessing pollution indices and health risks. This can be managed through a personal account on the EcoCity website. Experimental research was conducted by measuring the peak concentrations of CO, NH3, PM10, and PM2.5 in the air using an air quality monitoring station. During the study, the TLV were not exceeded, although there was a periodic excess of NO2 concentration. The data show a harmful effect, mostly of transport vehicles, on the environmental and public healthy in the studied area.