Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Introduction: The relevance of this study is determined by the importance of taking disease prevention and control measures on the basis of complete, reliable, and high-quality information. Method approaches to organizing environmental quality monitoring have been substantiated recently. Objective: To assess organization of environmental quality monitoring and laboratory testing in the populated areas of the Russian Arctic for compliance with modern requirements. Materials and methods: We scrutinized ambient air, water, and soil quality monitoring programs programs for the year 2023 in seven regions of the Russian Arctic. The analysis and visualization were carried out using Microsoft Excel and ESRI ArcGIS 9.3, respectively. Results: In 2023, environmental quality was monitored at 865 sites in 297 settlements of the Russian Arctic. Ambient air quality was monitored at 49 sites in 30 settlements, soil – at 251 sites in 106 settlements, water in the centralized water supply system – at 565 sites, including 280 sites in the distribution network. Two to 12 quality indicators were determined in ambient air, 2 to 20 in soil, and 9 to 31 in water from centralized water supply systems. Discussion: The coverage of the areas under study with environmental quality monitoring varies significantly: from 9 settlements in the Arctic territories of the Krasnoyarsk Krai to 88 in the Murmansk Region. The pronounced difference in the scope of environmental quality monitoring, on the one hand, impedes objective comparison of environmental conditions between the regions and, on the other hand, makes it impossible to link adverse environmental factors with human health effects due to the limited data collected. Conclusion: This is the first comprehensive analysis of organization of ambient air, water, and soil quality monitoring in seven regions of the Russian Arctic. We have prepared recommendations for updating environmental quality monitoring programs taking into account modern requirements.
Introduction: The relevance of this study is determined by the importance of taking disease prevention and control measures on the basis of complete, reliable, and high-quality information. Method approaches to organizing environmental quality monitoring have been substantiated recently. Objective: To assess organization of environmental quality monitoring and laboratory testing in the populated areas of the Russian Arctic for compliance with modern requirements. Materials and methods: We scrutinized ambient air, water, and soil quality monitoring programs programs for the year 2023 in seven regions of the Russian Arctic. The analysis and visualization were carried out using Microsoft Excel and ESRI ArcGIS 9.3, respectively. Results: In 2023, environmental quality was monitored at 865 sites in 297 settlements of the Russian Arctic. Ambient air quality was monitored at 49 sites in 30 settlements, soil – at 251 sites in 106 settlements, water in the centralized water supply system – at 565 sites, including 280 sites in the distribution network. Two to 12 quality indicators were determined in ambient air, 2 to 20 in soil, and 9 to 31 in water from centralized water supply systems. Discussion: The coverage of the areas under study with environmental quality monitoring varies significantly: from 9 settlements in the Arctic territories of the Krasnoyarsk Krai to 88 in the Murmansk Region. The pronounced difference in the scope of environmental quality monitoring, on the one hand, impedes objective comparison of environmental conditions between the regions and, on the other hand, makes it impossible to link adverse environmental factors with human health effects due to the limited data collected. Conclusion: This is the first comprehensive analysis of organization of ambient air, water, and soil quality monitoring in seven regions of the Russian Arctic. We have prepared recommendations for updating environmental quality monitoring programs taking into account modern requirements.
Introduction. This article suggests an alternative solution to the task of quantifying and describing health harm under exposure to non-carcinogenic risk factors. Materials and methods. We have developed and tested a methodical approach that includes five subsequent steps; it is eligible for posterior quantification of non-carcinogenic health risks represented by additional diseases cases associated with poor ambient air quality. The approach relies on unified and validated methods for assessing exposure and health risks, mathematical parameterization of cause-effect relations within the "environment – public health" system, and calculation of additional incidence as well as combined assessment of all the obtained results. Results. According to calculated data, which were also verified by instrumental observations of ambient air quality, the existing hygienic standards are violated as per 27 chemicals in residential areas. Elevated hazard quotients are identified for 26 chemicals (up to 98.7HQac; up to 62.7HQch). Additive effects of the analyzed chemicals crated elevated hazard indices (HI) in residential areas that could be ranked as "alerting" (3<HI≤6) and "high" (HI>6) for respiratory organs, the cardiovascular and hematopoietic systems, liver, kidneys, eyes, development, the immune, reproductive, endocrine, and other systems. The identified levels of airborne exposure annually cause approximately 80.9 thousand additional diseases among the total population (71.0‰; 4.15% of the total incidence); 23 chemicals are considered priority risk factors (contributions vary between 0.25 and 65.0%). We have identified certain regularity for some disease classes: higher levels of additional incidence associated with ambient air quality are established in zones with higher airborne health risks. Thus, in zones where airborne risks for respiratory organs are HIch≤1, we identified no additional incidence as per such diseases; in zones with 1<HIch≤3 (with population being 800 people), additional incidence reaches 1.57‰ for the total population; 3<HIch≤6 (more than 100 thousand people), 3.25‰; HIch>6 (more than 1.09 million people), 5.0‰. Limitations. The suggested approaches have been obtained by calculation. Their results might differ from those obtained by targeted in-depth investigations aimed at creating an evidence base of health harm under adverse environmental conditions that do not conform to hygienic standards. The parameters of mathematical models within "the environment – public health" system have been obtained for a limited range of exposure to pollutants in ambient air and a limited list of airborne health risk factors. Conclusion. The suggested methodical approaches to posterior assessment of non-carcinogenic health risks allows quantifying these health risks as additional diseases associated with poor quality of the environment; they enlarge the results of health risk assessment and make them more precise, validate and support them with hygienic significance. They can be utilized within optimization of social and hygienic monitoring and assessment of effectiveness of implemented prevention activities.
Introduction. Air pollution over 2021 was associated with about 6.7 thousand additional deaths and almost 1.1 million additional cases of illness among the Russian population. Conducting an atmospheric air quality assessment for the subsequent selection of priority measures aimed at reducing its negative impact on public health is the main task of the Clean Air federal project. The aim of the study is to assess the management of monitoring and air quality in the cities of Komsomolsk-on-Amur, Petrovsk-Zabaykalsky, and Ussuriysk before the implementation of the federal project “Clean Air”. Materials and methods. The monitoring programs for atmospheric air quality, the results of laboratory studies for 2021 were used. The number, location of observation posts, volumes, frequency of sampling, a list of indicators, the total number of samples, the number of samples exceeding the MPC, average annual, maximum one-time concentrations of pollutants were analyzed. Results. In Komsomolsk-on-Amur, atmospheric air quality monitoring was carried out at 4 stationary and 3 route posts, Ussuriysk – 1 mobile and 1 stationary post, Petrovsk-Zabaikalsky – 1 stationary post. All studied cities are characterized by systematic excesses of hygienic standards for specific indicators. The level of air pollution in the city of Komsomolsk-on-Amur is assessed as very high, in the cities of Ussuriysk and Petrovsk-Zabaikalsky – low. Despite the low level of air pollution, these towns are characterized by systematic excesses of hygienic standards of some indicators. Limitations. The study analyzed the management of monitoring and the results of laboratory studies of atmospheric air only in the cities of Komsomolsk-on-Amur, Ussuriysk, Petrovsk-Zabaykalsky. Conclusion. The existing monitoring system in the Ussuriysk, Komsomolsk-on-Amur and Petrovsk-Zabaykalsky cities fails to allow an objective assessing of the quality of atmospheric air and its impact on public health. To objective evaluation of the impact of atmospheric air quality on the health of the population of the studied cities, measures to optimize the monitoring system were proposed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.