Spatial and Temporal Variability of Pm2.5 Air Polution Level in Kharkiv City
Keywords:
particulate matter, PM2.5, AQI, air pollution, urban area, spatial and temporal variabilityAbstract
Purpose of the study is to determine spatial and temporal variability of PM2.5 air pollution level within urban geosystems with a high anthropogenic pressure (on the example of Kharkiv city).
Methods. Open online monitoring platform «Air Pollution», PM2.5 level was measured with «7bit Pollution Monitor», statistical.
Results. Monitoring of PM2.5 air pollution of Kharkiv was conducted from August 1, 2019 to April 1, 2020 at 6 control points in different districts of the city. Air Pollution open online monitoring platform served as a data source of 28,119 mass concentrations of PM2.5 in the air. Threshold concentrations, recommended by the WHO, were used to determine compliance with hygienic standards for fine dust of less than 2.5 μm. The PM2.5 air pollution level and its degree of threat to public health were assessed in accordance with the International Air Quality Index (AQI) scale. Fine particles pose the greatest health risk. Exceeding the PM2.5 threshold level set by the WHO was detected for 17.4% of studied cases (4,905 out of 28,119 studied cases). In general, according to the AQI scale, in the vast majority of cases, the content of PM2.5 in the air varies from low to moderate. The highest level of PM2.5 in the air was measured at point No. 1 at the address Aptekarskyi Lane 9, which may be due to its location in areas with high traffic. The daily, weekly and seasonal variability of PM2.5 content was determined. Seasonal and daily variations in the content PM2.5 of in the air of Kharkiv depend on changes in weather conditions (precipitation, wind speed, etc.), the level of traffic congestion and the operation mode of potential stationary pollution sources.
Conclusions. The obtained results provide a basis for further study of the correlation of PM2.5 content in the air with the influence of various natural and socio-economic factors of the territory, as well as with the mortality rates.
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