Thermal Inversions and Their Influence on the Composition of the Surface Air Layer over Moscow

Lokoshchenko, M. А.; Bogdanovich, A. Yu.; Elansky, N. F.; Lezina, Ye. A.

doi:10.1134/s0001433821060086

Cited by 13 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At about 05:00, the concentrations of all other pollutants and the general level of the ASL pollution begin to rapidly increase up to 08:00–09:00, when they reach their morning maximum. The early start of such a rapid increase in the concentration of most pollutants is caused not only by the activation of urban sources, but also by their accumulation under the surface temperature inversion that usually collapses over the megacity at 06:00–07:00 in summer and 08:00–09:00 in winter [ 22 , 23 ]. Such a seasonal cycle of temperature stratification is probably responsible for the formation of the bimodal structure of the morning maximum of CO (08:00 and 11:00), which is well manifested in individual seasons and weakly pronounced in its average annual values due to time shift.…”

Section: Diurnal Variationsmentioning

confidence: 99%

“…The summer (June–July) minimum pollution level in Moscow is caused by low economic, business, and social activities due to the season of vacations and the departure of Muscovites outside the city, as well as the washing out of some pollutants from the ASL due to the rains common at this time of the year [ 23 ] and the maximum height of the ASL. One more seasonal maximum of the pollutants is formed in August–September due to the increased activity of motor transport after vacations and before the start of the school year.…”

Section: Seasonal Variationsmentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal Variations in the Content of Pollutants in the Moscow Air Basin and Their Emissions

Elansky

Shilkin

Пономарев

et al. 2022

Izv. Atmos. Ocean. Phys.

Self Cite

View full text Add to dashboard Cite

The location of Moscow on a plain within higher latitudes when compared to other megacities creates conditions for the chemical transformation of pollutants in the urban atmosphere and their transport and accumulation. Observational data on surface concentrations of NO, NO 2 , CO, CH 4 , O 3 , nonmethane hydrocarbons (NMHCs), and aerosols (PM 10 ), which were obtained at the Moscow Ecological Monitoring (MEM) network from 2005 to 2020, have been processed and analyzed. Both temporal and spatial parameters characterizing the dynamics of atmospheric pollution of Moscow’s air basin have been calculated. It is noted that the content of most pollutants in the urban air has decreased due to the renewal of the vehicle fleet; the introduction of restrictions on the entry of freight transport in the city; and the modernization of industrial enterprises, treatment facilities, and the gas transmission system. Significant negative trends have been obtained for NMHCs, CO, NO x , and PM 10 (4.3, 4.0, 2.6, and 1.7% y –1 , respectively). An insignificant negative trend has been obtained for O 3 and no negative trend has been found for CH 4 . Total emissions from urban sources of substances determining the air quality have been calculated. Their values also manifest negative trends. The content of ozone almost did not change within such a long period, which suggests a weak sensitivity of the oxidizing properties of the Moscow atmosphere and the rate of ozone generation to variations in the atmospheric content of nitrogen radicals and their high sensitivity to volatile organic compounds.

show abstract

Section: Diurnal Variationsmentioning

confidence: 99%

Section: Seasonal Variationsmentioning

confidence: 99%

Spatiotemporal Variations in the Content of Pollutants in the Moscow Air Basin and Their Emissions

Elansky

Shilkin

Пономарев

et al. 2022

Izv. Atmos. Ocean. Phys.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The temperature stratification in the lower troposphere influences the concentrations of gaseous and particulate pollutants [1,2]. When temperatures are higher at the surface than at altitude, meaning the gradient is adiabatic or super-adiabatic, atmospheric pollutants are dispersed towards higher layers [3].…”

Section: Introductionmentioning

confidence: 99%

Temperature Inversion and Particulate Matter Concentration in the Low Troposphere of Cergy-Pontoise (Parisian Region)

Lagmiri,

Dahech

2024

Atmosphere

View full text Add to dashboard Cite

This study aims to elucidate the influence of meteorological conditions on particle levels in Cergy-Pontoise. It explores the temporal variability of PM10 pollution days by associating them with the vertical temperature profile derived from conventional radiosondes from 2013 to 2022 (regional station). The results indicate that nearly 80% of exceedance days were associated with thermal inversions, primarily observed in winter and typically lasting 1 to 3 days. Analysis of winter thermal inversion characteristics suggests that those linked to pollution primarily occur near the ground, with higher intensity in December (12.1 °C) and lower in February (10.3 °C). Persistent inversions (extended nocturnal by diurnal inversion) account for 91.4% of the total inversions associated with high concentrations. Captive balloon soundings and temperature measurements at different altitudes were conducted during the winter of 2022/2023 to clarify thermal inversion in the Oise Valley at the center of Cergy-Pontoise. The results highlight three nocturnal wind circulation mechanisms in the valley, including downslope flow, circulation influenced by an urban heat island, and mechanical air evacuation under an inversion layer towards the less steep East side of the valley. Analysis of PM with the temperature gradient in the Oise Valley shows a significant correlation, suggesting an increase in concentrations during locally detected inversions and a decrease during atmospheric disturbance.

show abstract

“…In particular, the presence of inversion determines the height of the retarding layer that prevents the scattering of impurities, and the intensity of the inversion affects the lifetime of the retarding layer [1]. Thus, the temperature stratification of the surface layer determines the categories of atmospheric stability and is of great importance in the tasks of environmental monitoring [2].…”

Section: Introductionmentioning

confidence: 99%

Clustering methods usage for the temperature stratification typing of the atmosphere surface layer

Baranov

2023

29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

View full text Add to dashboard Cite

This paper considers the use of various clustering methods to characterize the seasonal features of the temperature stratification of the atmosphere surface layer. As initial data, we used series of observations of temperature profiles in a layer up to 1 km, obtained by a passive microwave profiler MTP-5. Clustering methods with automatic determination of the number of clusters are considered: DBSCAN, Affinity Propagation, MeanShift. It is shown that the DBSCAN method is of little use for identifying typical conditions for continuous series of observations. Affinity Propagation and MeanShift methods give similar results, but require fine tuning of the clustering parameters. The results of the temperature profiles clustering are presented with the identification of cluster centers and their parameters: the average temperature profile gradient and extreme values of the profile curvature.

show abstract

Thermal Inversions and Their Influence on the Composition of the Surface Air Layer over Moscow

Cited by 13 publications

References 8 publications

Spatiotemporal Variations in the Content of Pollutants in the Moscow Air Basin and Their Emissions

Spatiotemporal Variations in the Content of Pollutants in the Moscow Air Basin and Their Emissions

Temperature Inversion and Particulate Matter Concentration in the Low Troposphere of Cergy-Pontoise (Parisian Region)

Clustering methods usage for the temperature stratification typing of the atmosphere surface layer

Contact Info

Product

Resources

About