Temporal Variability and Relationship between Surface Concentration of PM2.5 and Aerosol Optical Depth According to Measurements in the Middle Urals

We analyzed the measurements of aerosol parameters in the surface air layer with sets of Panasonic PM 2.5 optical sensors and in throughout the atmospheric column by the photometric method at urban and background observation sites in the Middle Urals for 2016–2019. The features of the intra-annual a...

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Bibliographic Details
Published in:Atmospheric and oceanic optics 2022-12, Vol.35 (Suppl 1), p.S133-S142
Main Authors: Luzhetskaya, A. P., Nagovitsyna, E. S., Omelkova, E. V., Poddubny, V. A.
Format: Article
Language:English
Subjects:
Aerosols
Air
Atmospheric models
Atmospheric Radiation
Boundary layers
Climate
Diurnal variations
Lasers
Meteorological parameters
Normalized difference vegetative index
Optical analysis
Optical Devices
Optical measuring instruments
Optical thickness
Optical Weather
Optics
Parameters
Particulate matter
Photonics
Physics
Physics and Astronomy
Regression models
Relative humidity
Statistical analysis
Statistical models
Temporal variations
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Summary:We analyzed the measurements of aerosol parameters in the surface air layer with sets of Panasonic PM 2.5 optical sensors and in throughout the atmospheric column by the photometric method at urban and background observation sites in the Middle Urals for 2016–2019. The features of the intra-annual and daily variations in the aerosol parameters in the surface air layer and in the atmospheric column are compared; also, the relationships between the PM 2.5 concentration, AOD, and meteorological parameters in two regions are studied. For the first time for the Middle Urals, we constructed the statistical models for estimating the PM 2.5 concentration. Multivariate regression models for estimating the logarithm of PM 2.5 concentration are far superior to the single-factor models. The significant predictors are found to be: boundary layer height (blh, m), ln AOD, normalized difference vegetation index (NDVI), relative air humidity (Hu, %), and pressure ( P , Pa).
ISSN:1024-8560
2070-0393
DOI:10.1134/S1024856023010098