The possible temperature influence on the microparticle concentration in the near-surface layer of the Earth is presented. As input data we used either temperature variation instrumental observations as well as less than 2.5 μm (PM2.5) microparticle mass concentrations in the subsurface layer of the atmosphere. The measurements were held during the summer period of 2021 and 2022 years in the midlatitude Mikhnevo Geophysical Observatory of IDG RAS. While data processing and analysis, a strong correlation between the daily mean temperature values and PM2.5 concentrations was established. The maximum value of the Pearson linear correlation coefficient between the considered values was obtained in July. A high correlation is observed both for individual monthly correlations and for summer periods in general.
A numerical-theoretical model for estimating atmospheric pollution for the case of concentration decreasing with height is presented. The model gives an explicit expression of characteristics through each other. Some values of parameters calculated are provided with the model verification by comparing the calculated concentrations of fine particles and measured variations in dust PM2.5 mass concentrations.
This paper presents the analysis of the data on suspended PM2.5 particle concentrations changing during the time periods before and after the stay-at-home restrictions aimed at preventing spread of COVID-19 in Moscow. The data used for this analysis were obtained at the Mosecomonitoring network stations and the Center of Geophysical Monitoring of Moscow at IDG RAS.
The emission of microparticles into the atmosphere during rock mass breaking by blasting in open-pits is one of the factors which determine the ground-level air pollution in the vicinity of the open-pits. The results of instrumental observations over the development of dust and gas clouds occurring from large-scale explosions at the limestone pit in Lipetsk region are presented. A numerical model has been developed to substantiate the function of the boundary layer for the fine dust reaching the monitoring stations.
The study of the near-surface electric field strength variations was conducted on the basis of experimental data obtained at the Geophysical Monitoring Center of IDG RAS in Moscow and the Geophysical Observatory ‘Mikhnevo’. This paper features the results of analysis of electric field variations in Moscow and in GO ‘Mikhnevo’ registered for the period 2015 - 2019, and specifics of daily electric field strength variations depending on the season.
The first particulate matter PM2.5 and PM10 measurement results obtained in Moscow Geophysical monitoring center of IDG RAS are presented. The results are compared with the data from open sources - Mosecomonitoring and independent station network of Luftdaten project.
We present the full-scale observational data of the near-ground electric field potential gradient in the megacity area and outside of its influence zone. The megapolis influence is manifested in an increase of signal amplitudes which is associated with the aerosol particles concentration difference. The obtained data analysis allows the technogenic aerosol megacity pollution level estimation. It is proposed to use the ratio of the averaged electric field potential gradient amplitudes at measurement sites as an integral pollution level indicator. Analytical expressions reflecting the integral pollution level indicator and the near-ground layer aerosol particle concentration relation are obtained.
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