AUTOMATED AIR POLLUTION RESEARCH SYSTEM

Igor Olenych, S. Babiak

Abstract


Air pollution is becoming a serious environmental problem and a threat to human health. Therefore, there is an urgent need for an effective system of environmental monitoring and detection of various types of atmospheric pollution, which could not only provide accurate real-time data on air quality but also carry out their analysis. The automated air pollution monitoring system based on the Arduino UNO R4 WiFi microcontroller and sensors of solid microparticles HM-3301 and carbon dioxide MH-Z19B was developed in the work. The Wi-Fi transfer of measured sensor data at 2-minute intervals to a remote server for storage in the MySQL database and further analysis has been implemented. The proposed air quality monitoring system additionally receives information from the web resource https://www.weatherapi.com about temperature, humidity, wind direction and speed in the given area. Data on air pollution and meteorological conditions in the city of Novoyavorivsk from 14.11.2023 to 14.01.2024 were used for the analysis.

The possibility of reducing the negative impact of anomalous emissions of sensor data by averaging the values of the concentration of solid microparticles in the air for 60 minutes has been demonstrated. The possible sources of pollution in the city of Novoyavorivsk were identified based on the analysis of the daily distribution of air pollution and data on the direction and speed of the wind. It was found that the main source of atmospheric pollution is the combustion products of energy carriers for heating houses in the cold season. The correlation dependence of the concentration of PM1, PM2.5, PM10 solid microparticles and CO2 molecules in the atmosphere on temperature and wind speed was established. Coefficients of pairwise linear correlation and parameters of the regression line were determined to develop correlation models that take meteorological factors into account for air quality forecasting. The automated air pollution research system proposed in the work can be useful for regions not covered by the global atmospheric monitoring system, as well as for scientific research and solving environmental problems.

Key words: air pollution monitoring, meteorological factors, correlation, regression line, forecasting.


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DOI: http://dx.doi.org/10.30970/eli.26.6

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