scholarly journals On implementation of «Clean air» federal project in Omsk

2020 ◽  
pp. 31-45
Author(s):  
A.S. Kriga ◽  
◽  
S.V. Nikitin Nikitin ◽  
E.L. Ovchinnikova ◽  
O.V. Plotnikova ◽  
...  
Keyword(s):  
Air Quality ◽  
Population Health ◽  
Health Risks ◽  
Ambient Air ◽  
Project Implementation ◽  
Ambient Air Quality ◽  
Potential Health ◽  
Air Contamination ◽  
Complex Program ◽  
Clean Air

The first two years of «Clean air» Federal project in Omsk have been completed and preliminary results have been estimated. The present work deals with issues related to implementation of the Complex program aimed at reducing emissions, highlights the sanitary-epidemiologic situation related to air contamination in settlements, and describes activities aimed at optimizing a laboratory network used for monitoring over ambient air quality. It is essential to obtain maximum objective data on population health risks caused by ambient air contamination at the initial stage of the Federal project implementation. Our research goal was to estimate intermediate results in the Federal project implementation taking into account preliminary analysis of sanitary epidemiologic welfare in Omsk related to ambient air contamination. Our research object was ambient air quality in Omsk, potential health risks and population health parameters associated with ambient air contamination over 2009–2019. The examination was performed in accordance with a procedure for health risk assessment under exposure to chemicals (R 2.1.10.1920-04), as well as procedures, approaches, and algorithms stipulated in the normative and methodological documents MR 2.1.6.0158-19, MR 2.1.6.0156-19, with use of geoinformation technologies and statistical procedures. The research allowed substantiating a program for monitoring over ambient air quality taking into account all the existing monitoring systems basing on spatial distribution of total hazard quotient (S) in Omsk residential area and preliminary data obtained via aggregated calculations of ground contaminants concentrations. We suggested a list of control parameters and a procedure for their estimation in order to provide objective and timely monitoring over implementation of the Complex program aimed at reducing emissions into ambient air in Omsk. Implementation of the Complex program was estimated as per results of certain activities accomplished within it in 2019.

scholarly journals On implementation of «Clean air» federal project in Omsk

2020 ◽  
pp. 31-45
Author(s):  
A.S. Kriga ◽  
◽  
S.V. Nikitin ◽  
E.L. Ovchinnikova ◽  
O.V. Plotnikova ◽  
...  
Keyword(s):  
Air Quality ◽  
Population Health ◽  
Health Risks ◽  
Ambient Air ◽  
Project Implementation ◽  
Ambient Air Quality ◽  
Potential Health ◽  
Air Contamination ◽  
Complex Program ◽  
Clean Air

The first two years of «Clean air» Federal project in Omsk have been completed and preliminary results have been estimated. The present work deals with issues related to implementation of the Complex program aimed at reducing emissions, highlights the sanitary-epidemiologic situation related to air contamination in settlements, and describes activities aimed at optimizing a laboratory network used for monitoring over ambient air quality. It is essential to obtain maximum objective data on population health risks caused by ambient air contamination at the initial stage of the Federal project implementation. Our research goal was to estimate intermediate results in the Federal project implementation taking into account preliminary analysis of sanitary epidemiologic welfare in Omsk related to ambient air contamination. Our research object was ambient air quality in Omsk, potential health risks and population health parameters associated with ambient air contamination over 2009–2019. The examination was performed in accordance with a procedure for health risk assessment under exposure to chemicals (R 2.1.10.1920-04), as well as procedures, approaches, and algorithms stipulated in the normative and methodological documents MR 2.1.6.0158-19, MR 2.1.6.0156-19, with use of geoinformation technologies and statistical procedures. The research allowed substantiating a program for monitoring over ambient air quality taking into account all the existing monitoring systems basing on spatial distribution of total hazard quotient (S) in Omsk residential area and preliminary data obtained via aggregated calculations of ground contaminants concentrations. We suggested a list of control parameters and a procedure for their estimation in order to provide objective and timely monitoring over implementation of the Complex program aimed at reducing emissions into ambient air in Omsk. Implementation of the Complex program was estimated as per results of certain activities accomplished within it in 2019.

Methodological Approaches to Optimizing Ambient Air Quality Monitoring Programs within the Framework of the Federal Clean Air Project (on the example of Nizhny Tagil)

2020 ◽  
pp. 38-47
Author(s):  
VB Gurvich ◽  
DN Kozlovskikh ◽  
IA Vlasov ◽  
IV Chistyakova ◽  
SV Yarushin ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Health Risks ◽  
Monitoring Program ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Clean Air ◽  
Methodological Approaches

ntroduction: One of the key socially significant results of implementing the Federal Clean Air Project is the maximum possible mitigation of inhalation health risks by achieving the target rate of reducing emissions (by 20 % against the level of 2017) in a number of cities included in the federal project as priority areas. Materials and methods: Ambient air pollution monitoring as a measure of this accomplishment is indispensable both for verification of applying the model to estimating surface concentrations of pollutants, assessing health risks, and evaluating changes in ambient air quality. For the objectivity of such assessments, it is fundamental to determine the list of priority health-threatening air pollutants, to select monitoring sites that best characterize population exposure to these chemicals, and to plan air quality monitoring programs setting sampling frequency and volume. Results: The article presents the results of implementing methodological approaches adopted by the Russian Federal Service for Surveillance in the Sphere of Consumer Rights and Human Wellbeing (Rospotrebnadzor) to optimize ambient air quality monitoring within the framework of solving the tasks of the Federal Clean Air Project in the city of Nizhny Tagil, Sverdlovsk Region, in 2019. The Nizhny Tagil air quality monitoring program for 2020 has been developed and tested. This program, in conjunction with similar programs carried out by the Russian Federal Hydrometeorology and Environmental Monitoring Service (Roshydromet) and the Ministry of Natural Resources and Environment of the Sverdlovsk Region and taking into account their implementation over the past five years, helps provide implementers of the federal project with air pollution data to address its key challenges. Conclusions: The adopted ambient air quality monitoring program implemented in Nizhny Tagil in 2020 by the Center for Hygiene and Epidemiology in the Sverdlovsk Region meets terms and requirements of the Federal Clean Air Project.

scholarly journals Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique

2019 ◽  
Vol 19 (17) ◽  
pp. 11303-11314 ◽  
Author(s):  
Tuan V. Vu ◽  
Zongbo Shi ◽  
Jing Cheng ◽  
Qiang Zhang ◽  
Kebin He ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Action Plan ◽  
Ambient Air ◽  
Meteorological Conditions ◽  
Assessment Process ◽  
Pollutant Emissions ◽  
Ambient Air Quality ◽  
Clean Air ◽  
The Impact

Abstract. A 5-year Clean Air Action Plan was implemented in 2013 to reduce air pollutant emissions and improve ambient air quality in Beijing. Assessment of this action plan is an essential part of the decision-making process to review its efficacy and to develop new policies. Both statistical and chemical transport modelling have been previously applied to assess the efficacy of this action plan. However, inherent uncertainties in these methods mean that new and independent methods are required to support the assessment process. Here, we applied a machine-learning-based random forest technique to quantify the effectiveness of Beijing's action plan by decoupling the impact of meteorology on ambient air quality. Our results demonstrate that meteorological conditions have an important impact on the year-to-year variations in ambient air quality. Further analyses show that the PM2.5 mass concentration would have broken the target of the plan (2017 annual PM2.5<60 µg m−3) were it not for the meteorological conditions in winter 2017 favouring the dispersion of air pollutants. However, over the whole period (2013–2017), the primary emission controls required by the action plan have led to significant reductions in PM2.5, PM10, NO2, SO2, and CO from 2013 to 2017 of approximately 34 %, 24 %, 17 %, 68 %, and 33 %, respectively, after meteorological correction. The marked decrease in PM2.5 and SO2 is largely attributable to a reduction in coal combustion. Our results indicate that the action plan has been highly effective in reducing the primary pollution emissions and improving air quality in Beijing. The action plan offers a successful example for developing air quality policies in other regions of China and other developing countries.

scholarly journals Assessment of Ambient Air Quality in Urban Centres of Haryana (India) in Relation to Different Anthropogenic Activities and Health Risks

2006 ◽  
Vol 122 (1-3) ◽  
pp. 27-40 ◽  
Author(s):  
C. P. Kaushik ◽  
Khaiwal Ravindra ◽  
Krishan Yadav ◽  
Surender Mehta ◽  
A. K. Haritash
Keyword(s):  
Air Quality ◽  
Health Risks ◽  
Anthropogenic Activities ◽  
Ambient Air ◽  
Ambient Air Quality

scholarly journals Working out ambient air quality measuring programs for socio-hygienic monitoring: practical experience of federal project «Clean air» activity

2020 ◽  
Vol 99 (11) ◽  
pp. 1196-1202
Author(s):  
Svetlana V. Kleyn ◽  
Nina V. Zaitseva ◽  
Irina V. May ◽  
Stanislav Yu. Balashov ◽  
Sergey Yu. Zagorodnov ◽  
...  
Keyword(s):  
Air Quality ◽  
Monitoring Program ◽  
Ambient Air ◽  
Human Society ◽  
Monitoring Networks ◽  
Potential Health ◽  
Protection Measures ◽  
Atmospheric Air ◽  
Study Results ◽  
Clean Air

Introduction. Ensuring the safety of the environment is an indispensable condition for the sustainable development of human society. The Federal project “Clean Air” set this goal. Imprving air quality is most relevant for large industrial cities, including in the town of Krasnoyarsk. The monitoring for both atmospheric air quality and chemicals that form the most significant risks to public health must aim at the spatial characteristics of exposure levels to assess the effectiveness and results of air protection measures. Material and methods. To solve the mentioned problems, we used data from field studies of atmospheric air quality for 2014-2018, summary calculations of dispersion of pollutants, the results of their linked analysis, health risk assessment, cluster analysis, and geoinformation systems, implemented the MP 2.1.6.0157-19 algorithm. Results. For each post, a monitoring program has been formed. A list of substances to be controlled for characterizing this cluster has been determined. As a result, the city monitoring program included 23 unique substances for the full monitoring program and 13 substances for reconnaissance assessment. Monitoring studies of atmospheric air quality, including priority substances that create an unacceptable level of potential health effects, cover more than 99% of the pilot area population. Conclusions. The study results showed the relevance and timeliness of interagency efforts in managing atmospheric air quality in the territories. A shared observation network of Hydrometeorological Research Center of Russian Federation (Hydrometcenter of Russia), Rospotrebnadzor, and regional atmospheric air quality monitoring networks with maximum resource savings, without duplication of studies, will allow for representative data collection and the formation of a joint information base. All this will provide good management decisions regarding air protection measures and measures of hygienic and medical-preventive nature.

scholarly journals Effect of Cement Industry on Ambient Air Quality and Potential Health Risk: A Case Study from Riyadh, Saudi Arabia

2021 ◽  
Vol 4 (Vol4) ◽  
pp. 14-23
Author(s):  
Kamel Al-Zboon
Keyword(s):  
Air Quality ◽  
Health Risk ◽  
Hazard Quotient ◽  
Ambient Air ◽  
Cement Industry ◽  
Ambient Air Quality ◽  
Allowable Limit ◽  
Potential Health ◽  
Aermod Model

This study aimed to determine the cement industry's impact on ambient air quality inside and around a Saudi Arabian cement plant. Air quality has assessed in terms of several indicators: carbon dioxide, carbon monoxide, nitrogen dioxide, sulfur dioxide, PM10, PM2.5, ozone, and volatile organic compounds. AERMOD model was used to predict the concentrations of pollutants in the surrounding area. Results obtained revealed that the concentration of all impurities is within the standard limits for ambient air quality. In comparison with OSHA guidelines, only PM10 concentration exceeded the allowable limit. The higher concentrations of pollutants are recorded at the site closest to the plant site (S1, a housing compound located 0.8km ESE from the plant). Concentrations at the other monitoring sites decreased significantly. Except for PM10, the calculated hazard quotient (HQ) of all pollutants was <1which indicated no health effects are expected. The HQ of emissions can be ranked as: PM10> PM2.5>CO2>O3>CO>VOCs>NOx>SO2>H2S. The hazardous index (HI) was: 3.59, 2.76, 2.18, and 2.67 for S1, S2 (located 17km NNE), S3 (located 10.6km SE), and S4 (located 6.4km SSW), respectively. The affected organs can be ranked based on health risk calculation as respiratory system>cardiovascular system>Eye irritation>Allergy infection>Nervous system>Development>Hematology >Alimentary endocrine. The cancer risk factor was shallow and ranged from 4.04x10-6 for S4 to 1.88x10-5 for S1, which indicated a very low-risk potential. In terms of emissions concentrations, AERMOD predicted higher concentrations than the actual monitoring data for all measured parameters.

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