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Information × Registration Number 0220U000189, 0119U001463 , R & D reports Title Determination of air pollution by aerosol particles in situ and satellite data, development of elements of the information system of the population popup.stage_title Head Sosonkin M.G., Registration Date 22-01-2020 Organization Main Astronomical Observatory popup.description2 The measurements of aerosol particles (РМ2.5/РМ10), and surface ozone, were provided. Surface atmospheric pollution by РМ2.5/РМ10, aerosol particles was evaluated using the SDL607 and SDL307 mobile laser monitors in selected areas of Kyiv. Profiling of РМ2.5/РМ10, contamination with the help of a mobile point through streets and routes of Kyiv by cars was carried out. The co-executor assessed the level of air pollution by РМ2.5/РМ10, and O3 aerosol particles by determining the mass concentration at the stationary monitoring point. PM particle contamination was also determined using experimental working models of a prototype of a mobile ground-based aerosol sensor based on the Arduino platform. Models of the mobile ground-based aerosol sensor based on the Arduino platform have also been tested to estimate the vertical distribution of aerosol in the atmosphere using the DJI Mavic Pro quadcopter. Seasonal changes in the average monthly РМ2.5/РМ10 concentrations in 2018-2019 were determined. The highest average monthly concentrations of PM10 in January-March were 33 µg/m3 in January-March and 42 µg/m3 in April, and the PM2.5 concentrations in April 30 µg/m3. The spatial-temporal distribution of aerosol particles was modeled on the scale of the territory of Ukraine by means of the GEOS-Chem chemical transport model in order to identify possible areas of aerosol sources of anthropogenic origin that cause aerosol pollution of the atmosphere over Ukraine. Surface ozone monitoring was performed using a Thermo 49I-03 Analyzer ozonometer at the new GAO NAS measurement site. The average monthly mass concentrations of ozone in the atmospheric air in Kyiv in 2019 have a maximum of 1.4 threshold concentration in June. The measurement data can be used to identify relevant human health risks and generate information alerts. Product Description popup.authors Єрьоменко Н.О. Данилевський В.О. Міліневський Г.П. Сімон А.О. Синявський І.І. Сосонкін М.Г. Юхимчук Ю.Ю. popup.nrat_date 2020-04-02 Close