Selection of priority for quotas atmospheric air quality indices within the framework of the federal project "Clean Air" on the example of cities of the Far Eastern Federal District

Introduction. The federal project “Clean Air” currently covers forty one settlement, including the cities of Petrovsk-Zabaikalsky and Ussuriysk, included in 2023. Comprehensive plans to reduce emissions for these cities are in the approval stage, and therefore studies to assess the levels of air pollution and the contribution of industrial emissions to it remain relevant. The purpose of the study was to substantiate the priority air pollutants for quotas in the cities participating in the federal project “Clean Air” Petrovsk-Zabaikalsky and Ussuriysk based on calculated and natural data. Materials and methods. The results of atmospheric air monitoring for 2023–2024 were used. Databases of pollutant emission sources generated for each city were used to carry out consolidated calculations. A hygienic assessment, determination of the frequency of exceeding hygienic standards, and an assessment of the risk to public health were carried out. Based on the data from consolidated volumes, lists of priority pollutants were formed and consolidated dispersion calculations were carried out. Based on the calculated and in-kind data, an assessment of the risk to public health was carried out. The risk values ​​obtained on the basis of the calculated and in-kind data were compared. Visualization of the distribution of concentrations and risk levels was carried out using the ESRI ArcGIS 9.3 geographic information system. Results. The conducted study made it possible to form lists of pollutants that are priority for quotas within the framework of the federal project “Clean Air” for the cities of the Far Eastern Federal District Petrovsk-Zabaikalsky and Ussuriysk, justified from the position of the predicted advers impact on public health based on the results of risk assessment and monitoring conducted by Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. Limitations. The work took into account the results of monitoring conducted by the bodies and institutions of Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing without taking into account the monitoring data of the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. Conclusion. The formed list of priority pollutants for quotas is included in the monitoring programs of the studied cities and will be updated annually in the future as the federal project “Clean Air” is implemented and emissions of priority pollutants are reduced.

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Journal
Hygiene and Sanitation
Published
2025-09-25
DOI
https://doi.org/10.47470/0016-9900-2025-104-8-946-954
Primary Topic
Human Health and Disease
Type
article
Field-Weighted Citation Impact
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article

Selection of priority for quotas atmospheric air quality indices within the framework of the federal project "Clean Air" on the example of cities of the Far Eastern Federal District

Yuliya A. Novikova, Igor O. Myasnikov, В. Н. Федоров, Nadezhda A. Tikhonova et al.
Hygiene and Sanitation
Human Health and Disease
article

Selection of priority for quotas atmospheric air quality indices within the framework of the federal project "Clean Air" on the example of cities of the Far Eastern Federal District

Yuliya A. Novikova, Igor O. Myasnikov, В. Н. Федоров, Nadezhda A. Tikhonova, Aleksei N. Kizeev
article en

Abstract

Introduction. The federal project “Clean Air” currently covers forty one settlement, including the cities of Petrovsk-Zabaikalsky and Ussuriysk, included in 2023. Comprehensive plans to reduce emissions for these cities are in the approval stage, and therefore studies to assess the levels of air pollution and the contribution of industrial emissions to it remain relevant. The purpose of the study was to substantiate the priority air pollutants for quotas in the cities participating in the federal project “Clean Air” Petrovsk-Zabaikalsky and Ussuriysk based on calculated and natural data. Materials and methods. The results of atmospheric air monitoring for 2023–2024 were used. Databases of pollutant emission sources generated for each city were used to carry out consolidated calculations. A hygienic assessment, determination of the frequency of exceeding hygienic standards, and an assessment of the risk to public health were carried out. Based on the data from consolidated volumes, lists of priority pollutants were formed and consolidated dispersion calculations were carried out. Based on the calculated and in-kind data, an assessment of the risk to public health was carried out. The risk values ​​obtained on the basis of the calculated and in-kind data were compared. Visualization of the distribution of concentrations and risk levels was carried out using the ESRI ArcGIS 9.3 geographic information system. Results. The conducted study made it possible to form lists of pollutants that are priority for quotas within the framework of the federal project “Clean Air” for the cities of the Far Eastern Federal District Petrovsk-Zabaikalsky and Ussuriysk, justified from the position of the predicted advers impact on public health based on the results of risk assessment and monitoring conducted by Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. Limitations. The work took into account the results of monitoring conducted by the bodies and institutions of Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing without taking into account the monitoring data of the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. Conclusion. The formed list of priority pollutants for quotas is included in the monitoring programs of the studied cities and will be updated annually in the future as the federal project “Clean Air” is implemented and emissions of priority pollutants are reduced.

Hygiene and SanitationVol. 104(8)
North-West Public Health Research Center (RU)
Openalex Percentile: Top 63%
Human Health and Disease
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