scholarly journals Gender Differences in Association between Air Pollution and Daily Mortality in the Capital of the Green Lungs of Poland–Population-Based Study with 2,953,000 Person-Years of Follow-Up

2020 ◽  
Vol 9 (8) ◽  
pp. 2351
Author(s):  
Łukasz Kuźma ◽  
Krzysztof Struniawski ◽  
Szymon Pogorzelski ◽  
Hanna Bachórzewska-Gajewska ◽  
Sławomir Dobrzycki
Keyword(s):  
Public Health ◽  
Gender Differences ◽  
Air Pollution ◽  
Air Quality ◽  
Air Pollutant ◽  
World Health ◽  
The European Union ◽  
Daily Mortality ◽  
Male Population ◽  
The Impact

(1) Introduction: air pollution is considered to be one of the main risk factors for public health. According to the European Environment Agency (EEA), air pollution contributes to the premature deaths of approximately 500,000 citizens of the European Union (EU), including almost 5000 inhabitants of Poland every year. (2) Purpose: to assess the gender differences in the impact of air pollution on the mortality in the population of the city of Bialystok—the capital of the Green Lungs of Poland. (3) Materials and Methods: based on the data from the Central Statistical Office, the number—and causes of death—of Białystok residents in the period 2008–2017 were analyzed. The study utilized the data recorded by the Provincial Inspectorate for Environmental Protection station and the Institute of Meteorology and Water Management during the analysis period. Time series regression with Poisson distribution was used in statistical analysis. (4) Results: A total of 34,005 deaths had been recorded, in which women accounted for 47.5%. The proportion of cardiovascular-related deaths was 48% (n = 16,370). An increase of SO2 concentration by 1-µg/m3 (relative risk (RR) 1.07, 95% confidence interval (CI) 1.02–1.12; p = 0.005) and a 10 °C decrease of temperature (RR 1.03, 95% CI 1.01–1.05; p = 0.005) were related to an increase in the number of daily deaths. No gender differences in the impact of air pollution on mortality were observed. In the analysis of the subgroup of cardiovascular deaths, the main pollutant that was found to have an effect on daily mortality was particulate matter with a diameter of 2.5 μm or less (PM2.5); the RR for 10-µg/m3 increase of PM2.5 was 1.07 (95% CI 1.02–1.12; p = 0.01), and this effect was noted only in the male population. (5) Conclusions: air quality and atmospheric conditions had an impact on the mortality of Bialystok residents. The main air pollutant that influenced the mortality rate was SO2, and there were no gender differences in the impact of this pollutant. In the male population, an increased exposure to PM2.5 concentration was associated with significantly higher cardiovascular mortality. These findings suggest that improving air quality, in particular, even with lower SO2 levels than currently allowed by the World Health Organization (WHO) guidelines, may benefit public health. Further studies on this topic are needed, but our results bring questions whether the recommendations concerning acceptable concentrations of air pollutants should be stricter, or is there a safe concentration of SO2 in the air at all.

scholarly journals Public health air pollution impacts of pathway options to meet the 2050 UK Climate Change Act target: a modelling study

2018 ◽  
Vol 6 (7) ◽  
pp. 1-124
Author(s):  
Martin L Williams ◽  
Sean Beevers ◽  
Nutthida Kitwiroon ◽  
David Dajnak ◽  
Heather Walton ◽  
...  
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Air Pollution ◽  
Great Britain ◽  
Road Transport ◽  
Air Pollutant ◽  
Life Years ◽  
The Uk ◽  
The Impact

BackgroundThe UK’sClimate Change Act 2008(CCA; Great Britain.Climate Change Act 2008. Chapter 27. London: The Stationery Office; 2008) requires a reduction of 80% in carbon dioxide-equivalent emissions by 2050 on a 1990 base. This project quantified the impact of air pollution on health from four scenarios involving particulate matter of ≤ 2.5 µm (PM2.5), nitrogen dioxide (NO2) and ozone (O3). Two scenarios met the CCA target: one with limited nuclear power build (nuclear replacement option; NRPO) and one with no policy constraint on nuclear (low greenhouse gas). Another scenario envisaged no further climate actions beyond those already agreed (‘baseline’) and the fourth kept 2011 concentrations constant to 2050 (‘2011’).MethodsThe UK Integrated MARKAL–EFOM System (UKTM) energy system model was used to develop the scenarios and produce projections of fuel use; these were used to produce air pollutant emission inventories for Great Britain (GB) for each scenario. The inventories were then used to run the Community Multiscale Air Quality model ‘air pollution model’ to generate air pollutant concentration maps across GB, which then, combined with relationships between concentrations and health outcomes, were used to calculate the impact on health from the air pollution emitted in each scenario. This is a significant improvement on previous health impact studies of climate policies, which have relied on emissions changes. Inequalities in exposure in different socioeconomic groups were also calculated, as was the economic impact of the pollution emissions.ResultsConcentrations of NO2declined significantly because of a high degree of electrification of the GB road transport fleet, although the NRPO scenario shows large increases in oxides of nitrogen emissions from combined heat and power (CHP) sources. Concentrations of PM2.5show a modest decrease by 2050, which would have been larger if it had not been for a significant increase in biomass (wood burning) use in the two CCA scenarios peaking in 2035. The metric quantifying long-term exposure to O3is projected to decrease, while the important short-term O3exposure metric increases. Large projected increases in future GB vehicle kilometres lead to increased non-exhaust PM2.5and particulate matter of ≤ 10 µm emissions. The two scenarios which achieve the CCA target resulted in more life-years lost from long-term exposures to PM2.5than in the baseline scenario. This is an opportunity lost and arises largely from the increase in biomass use, which is projected to peak in 2035. Reduced long-term exposures to NO2lead to many more life-years saved in the ‘CCA-compliant’ scenarios, but the association used may overestimate the effects of NO2itself. The more deprived populations are estimated currently to be exposed to higher concentrations than those less deprived, the contrast being largest for NO2. Despite reductions in concentrations in 2050, the most socioeconomically deprived are still exposed to higher concentrations than the less deprived.LimitationsModelling of the atmosphere is always uncertain; we have shown the model to be acceptable through comparison with observations. The necessary complexity of the modelling system has meant that only a small number of scenarios were run.ConclusionsWe have established a system which can be used to explore a wider range of climate policy scenarios, including more European and global scenarios as well as local measures. Future work could explore wood burning in more detail, in terms of the sectors in which it might be burned and the spatial distribution of this across the UK. Further analyses of options for CHP could also be explored. Non-exhaust emissions from road transport are an important source of particles and emission factors are uncertain. Further research on this area coupled with our modelling would be a valuable area of research.FundingThe National Institute for Health Research Public Health Research programme.

The Impact of Building Tianfu New Area on Chengdu City Air Quality

2013 ◽  
Vol 726-731 ◽  
pp. 1396-1399 ◽  
Author(s):  
Ping Liu ◽  
Hong Ling Guo
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Positive Measure ◽  
Air Pollutant ◽  
The Government ◽  
And Control ◽  
The Impact

This study analyzed the impact of building Tianfu new area in Sichuan on Chengdu city air quality. The paper insists the characteristics of terrain and climate in Tianfu new area lead to the difficult to convect and diffuse air pollutant, and the trend of air quality deteriorating has already emerged as the activities of a large number of industries and population. Absolutely ,building Tianfu new area will further aggravate this trend. And the paper suggests the government should take positive measure in management and policy to prevent and control air pollution.

scholarly journals Prevalence of Pollutant Gases and the Occurrence of Associated Diseases in Asaba Metropolis, Delta State, Nigeria

2020 ◽  
Vol 5 (1) ◽  
pp. p44
Author(s):  
Prof. Atubi, Augustus O. (Ph.D.) ◽  
Osoyibo, Joseph
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Respiratory Diseases ◽  
Medical Center ◽  
Ambient Air ◽  
Air Pollutant ◽  
World Health ◽  
Distribution Method ◽  
Associated Diseases ◽  
Pollutant Gases

The study examined the prevalence of pollutant gases and occurrence of associated diseases in Asaba Metropolis, Delta State, Nigeria. The study adopted a retrospective cohort and survey research design. The cohort study analyzed the reported air pollution medical cases in Federal Medical Center in Asaba such as respiratory diseases, Asthma, Pneumonia, Tuberculosis, Meningitis and Measles. The survey involved measurement of air pollutant such as NO2, SO2, H2S, CO and VOC to compare with the National Ambient Air Quality Standard (NAAQS) data and the World Health Organization Air Quality Guideline (WHOAQG) in order to ascertain the level of air pollution. As part of the study, a total of two hundred (200) copies of questionnaires were administered in two major communities representing the two LGAs that make up Asaba Metropolis serving as study sites (Asaba and Okpanam). The data were analyzed using simple percentage and frequency distribution method, averaging model and standard deviation, measure of central tendency/dispersion (Mean±SD), Pearson Product Moment Correlation Coefficient (PPMC) and analysis of variance (ANOVA). The results of the study revealed that the highest recorded gas emitted in the area include Volatile and Organic Compounds (VOCs) with 96.4%, Carbon monoxide (CO) was 0.8%, Hydrogen sulfide (H2S) was 0.4% while Sulfur dioxide (SO2) and Nitrogen oxide (NO2) were 1.2% respectively. NO2 exceeded the WHO and NAQS thresholds. The most prevalent air pollution related diseases reported were respiratory diseases which were above 50% of the yearly prevalence and Tuberculosis which was over 30% each year followed closely by Asthma and Pneumonia. The least diseases in terms of prevalence in the study area were Meningitis and Measles. Based on the findings, it was recommended that routine measurements should be made on a continuous basis to ascertain the volume of gaseous pollutants in the urban and rural environments of the study area.

scholarly journals Impacts of household sources on air pollution at village and regional scales in India

2019 ◽  
Vol 19 (11) ◽  
pp. 7719-7742 ◽  
Author(s):  
Brigitte Rooney ◽  
Ran Zhao ◽  
Yuan Wang ◽  
Kelvin H. Bates ◽  
Ajay Pillarisetti ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Chemical Transport ◽  
Ambient Air ◽  
Household Air Pollution ◽  
World Health ◽  
New Delhi ◽  
Computational Domain ◽  
Surveillance Site ◽  
The Impact

Abstract. Approximately 3 billion people worldwide cook with solid fuels, such as wood, charcoal, and agricultural residues. These fuels, also used for residential heating, are often combusted in inefficient devices, producing carbonaceous emissions. Between 2.6 and 3.8 million premature deaths occur as a result of exposure to fine particulate matter from the resulting household air pollution (Health Effects Institute, 2018a; World Health Organization, 2018). Household air pollution also contributes to ambient air pollution; the magnitude of this contribution is uncertain. Here, we simulate the distribution of the two major health-damaging outdoor air pollutants (PM2.5 and O3) using state-of-the-science emissions databases and atmospheric chemical transport models to estimate the impact of household combustion on ambient air quality in India. The present study focuses on New Delhi and the SOMAARTH Demographic, Development, and Environmental Surveillance Site (DDESS) in the Palwal District of Haryana, located about 80 km south of New Delhi. The DDESS covers an approximate population of 200 000 within 52 villages. The emissions inventory used in the present study was prepared based on a national inventory in India (Sharma et al., 2015, 2016), an updated residential sector inventory prepared at the University of Illinois, updated cookstove emissions factors from Fleming et al. (2018b), and PM2.5 speciation from cooking fires from Jayarathne et al. (2018). Simulation of regional air quality was carried out using the US Environmental Protection Agency Community Multiscale Air Quality modeling system (CMAQ) in conjunction with the Weather Research and Forecasting modeling system (WRF) to simulate the meteorological inputs for CMAQ, and the global chemical transport model GEOS-Chem to generate concentrations on the boundary of the computational domain. Comparisons between observed and simulated O3 and PM2.5 levels are carried out to assess overall airborne levels and to estimate the contribution of household cooking emissions. Observed and predicted ozone levels over New Delhi during September 2015, December 2015, and September 2016 routinely exceeded the 8 h Indian standard of 100 µg m−3, and, on occasion, exceeded 180 µg m−3. PM2.5 levels are predicted over the SOMAARTH headquarters (September 2015 and September 2016), Bajada Pahari (a village in the surveillance site; September 2015, December 2015, and September 2016), and New Delhi (September 2015, December 2015, and September 2016). The predicted fractional impact of residential emissions on anthropogenic PM2.5 levels varies from about 0.27 in SOMAARTH HQ and Bajada Pahari to about 0.10 in New Delhi. The predicted secondary organic portion of PM2.5 produced by household emissions ranges from 16 % to 80 %. Predicted levels of secondary organic PM2.5 during the periods studied at the four locations averaged about 30 µg m−3, representing approximately 30 % and 20 % of total PM2.5 levels in the rural and urban stations, respectively.

scholarly journals European atmosphere in 2050, a regional air quality and climate perspective under CMIP5 scenarios

2013 ◽  
Vol 13 (15) ◽  
pp. 7451-7471 ◽  
Author(s):  
A. Colette ◽  
B. Bessagnet ◽  
R. Vautard ◽  
S. Szopa ◽  
S. Rao ◽  
...  
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Air Quality ◽  
Regional Scale ◽  
Air Pollutant ◽  
External Factors ◽  
Pollutant Emissions ◽  
Reference Scenario ◽  
Regional Air Quality ◽  
The Impact

Abstract. To quantify changes in air pollution over Europe at the 2050 horizon, we designed a comprehensive modelling system that captures the external factors considered to be most relevant, and that relies on up-to-date and consistent sets of air pollution and climate policy scenarios. Global and regional climate as well as global chemistry simulations are based on the recent representative concentration pathways (RCP) produced for the Fifth Assessment Report (AR5) of the IPCC (Intergovernmental Panel on Climate Change) whereas regional air quality modelling is based on the updated emissions scenarios produced in the framework of the Global Energy Assessment. We explored two diverse scenarios: a reference scenario where climate policies are absent and a mitigation scenario which limits global temperature rise to within 2 °C by the end of this century. This first assessment of projected air quality and climate at the regional scale based on CMIP5 (5th Coupled Model Intercomparison Project) climate simulations is in line with the existing literature using CMIP3. The discrepancy between air quality simulations obtained with a climate model or with meteorological reanalyses is pointed out. Sensitivity simulations show that the main factor driving future air quality projections is air pollutant emissions, rather than climate change or intercontinental transport of pollution. Whereas the well documented "climate penalty" that weights upon ozone (increase of ozone pollution with global warming) over Europe is confirmed, other features appear less robust compared to the literature, such as the impact of climate on PM2.5. The quantitative disentangling of external factors shows that, while several published studies focused on the climate penalty bearing upon ozone, the contribution of the global ozone burden is somewhat overlooked in the literature.

scholarly journals European atmosphere in 2050, a regional air quality and climate perspective under CMIP5 scenarios

2013 ◽  
Vol 13 (3) ◽  
pp. 6455-6499 ◽  
Author(s):  
A. Colette ◽  
B. Bessagnet ◽  
R. Vautard ◽  
S. Szopa ◽  
S. Rao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Climate Model ◽  
Regional Climate ◽  
Regional Scale ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Reference Scenario ◽  
Regional Air Quality ◽  
The Impact

Abstract. To quantify changes in air pollution in Europe at the 2050 horizon, we designed a comprehensive modelling system that captures the external factors considered to be most relevant and relies on up-to-date and consistent sets of air pollution and climate policy scenarios. Global and regional climate as well as global chemistry simulations are based on the recent Representative Concentrations Pathways (RCP) produced for the Fifth Assessment Report (AR5) of IPCC whereas regional air quality modelling is based on the updated emissions scenarios produced in the framework of the Global Energy Assessment. We explored two diverse scenarios: a reference scenario where climate policies are absent and a mitigation scenario which limits global temperature rise to within 2 °C by the end of this century. This first assessment of projected air quality and climate at the regional scale based on CMIP5 (5th Climate Model Intercomparison Project) climate simulations is in line with the existing literature using CMIP3. The discrepancy between air quality simulations obtained with a climate model or with meteorological reanalyses is pointed out. Sensitivity simulations show that the main factor driving future air quality projections is air pollutant emissions, rather than climate change or long range transport. Whereas the well documented "climate penalty" bearing upon ozone over Europe is confirmed, other features appear less robust compared to the literature: such as the impact of climate on PM2.5. The quantitative disentangling of each contributing factor shows that the magnitude of the ozone climate penalty has been overstated in the past while on the contrary the contribution of the global ozone burden is overlooked in the literature.

scholarly journals Analysis of air pollution exposure in the area of Iasi county – a warning signal for lung health and the risk of developing COPD

Pneumologia ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 166-173
Author(s):  
Ioana Buculei ◽  
Mona-Elisabeta Dobrin ◽  
Anda Tesloianu ◽  
Cristina Vicol ◽  
Radu-Adrian Crișan Dabija ◽  
...  
Keyword(s):  
Risk Factors ◽  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
World Health ◽  
Annual Reports ◽  
Chronic Obstructive ◽  
The World ◽  
High Concentrations ◽  
The Impact

Abstract Air pollution is a major threat to public health, and the effects of pollution are perceived in all countries of the world, by all social categories, regardless of age. Chronic obstructive pulmonary disease (COPD) has a growing prevalence worldwide and an increasing number of risk factors that exacerbate symptoms and accelerate disease progression. Exposure to air pollution is one of the less studied and less investigated risk factors for COPD. Depending on the size and chemical nature of the pollutant, it can overcome the defence mechanism of the respiratory system and enter the lung tissues, thus causing some respiratory diseases. The World Health Organisation (WHO) reports that six major air pollutants have been identified, namely particulate matter (PM), ground-level ozone, carbon monoxide, sulphur dioxide, nitrogen dioxide and lead. The severe impact of PM exposure is demonstrated by the link between exposure to high concentrations of PM and certain severe diseases such as silicosis, lung cancer, cardiovascular disease and COPD. In Iași County, Romania, air quality measurements are performed by six automatic air quality monitoring stations, and the data obtained are used to create annual reports and these are also available online. Due to the high concentrations of air pollutants, the city of Iași is one of the three topmost polluted cities in Romania. A future assessment on the impact of air pollution on the health of the inhabitants of these cities and the implementation of new methods to improve air quality is needed.

scholarly journals Using proxies to explore ensemble uncertainty in climate impact studies: the example of air pollution

2015 ◽  
Vol 15 (20) ◽  
pp. 28361-28393
Author(s):  
V. E. P. Lemaire ◽  
A. Colette ◽  
L. Menut
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Eastern Europe ◽  
Climate Model ◽  
Climate Impact ◽  
Northern Italy ◽  
Air Pollutant ◽  
Mitigation Measures ◽  
Training Dataset ◽  
The Impact

Abstract. Because of its sensitivity to unfavorable weather patterns, air pollution is sensitive to climate change so that, in the future, a climate penalty could jeopardize the expected efficiency of air pollution mitigation measures. A common method to assess the impact of climate on air quality consists in implementing chemistry-transport models forced by climate projection. However, the computing cost of such method requires optimizing ensemble exploration techniques. By using a training dataset of deterministic projection of climate and air quality over Europe, we identified the main meteorological drivers of air quality for 8 regions in Europe and developed simple statistical models that could be used to predict air pollutant concentrations. The evolution of the key climate variables driving either particulate or gaseous pollution allows concluding on the robustness of the climate impact on air quality. The climate benefit for PM2.5 was confirmed −0.96 (±0.18), −1.00 (±0.37), −1.16 ± (0.23) μg m−3, for resp. Eastern Europe, Mid Europe and Northern Italy and for the Eastern Europe, France, Iberian Peninsula, Mid Europe and Northern Italy regions a climate penalty on ozone was identified 10.11 (±3.22), 8.23 (±2.06), 9.23 (±1.13), 6.41 (±2.14), 7.43 (±2.02) μg m−3. This technique also allows selecting a subset of relevant regional climate model members that should be used in priority for future deterministic projections.

scholarly journals Comparison of Metropolitan Cities for Mortality Rates Attributed to Ambient Air Pollution Within the Context of SDGs Using the AirQ Model

2021 ◽  
Author(s):  
Ahmet Cihat Kahraman ◽  
Nüket Sivri
Keyword(s):  
Air Pollution ◽  
Ambient Air ◽  
Mortality Rates ◽  
Ambient Air Pollution ◽  
World Health ◽  
Marmara Region ◽  
The European Union ◽  
Limit Values ◽  
Metropolitan Cities ◽  
The Impact

Abstract In the present study, the air pollution dynamics of the metropolitan cities of Balıkesir, Bursa, İstanbul, Kocaeli, Sakarya and Tekirdağ in the Marmara Region, which is the geographical region with the highest urban and industrial activity in Turkey, were examined for the time period between 2016 and 2019. Annual changes in the cities in terms of air pollution, which was examined with a focus on the PM2.5 parameter as indicated by United Nations (UN) Sustainable Development Goals (SDGs), differences in the cities by years, and the seasonal changes in air pollution in the cities were investigated. Additionally, mortality rates attributed to air pollution were calculated with the AirQ+ software based on integrated exposure-response function recommended by the World Health Organization (WHO) and the UN using city-scale statistics of fatal disease cases that can be attributed to air pollution. It was determined that all cities in the Marmara Region study area exceeded the limit PM2,5 values specified by the European Union (EU) in the years 2016, 2017 and 2018 while only Kocaeli and Tekirdağ were below the limit values in 2019. The limit values specified by the WHO were exceeded in all cities in each year. A total of 46.920 premature deaths attributed to the exceedance of WHO limit values were calculated for the years 2016, 2017, 2018 and 2019 with 11.895, 13.853, 11.748 and 9.429, respectively.Determining national limit values for the PM2.5 parameter, which is among the most important factors of air pollution, and monitoring it in a sustainable manner using a sufficient number of well-equipped stations is of great importance. This way, national, regional and urban action plans regarding the impact of air pollution on human health, as indicated by UN SDGs, can be prepared.

scholarly journals Impacts of Household Sources on Air Pollution at Village and Regional Scales in India

2018 ◽  
Author(s):  
Brigitte Rooney ◽  
Ran Zhao ◽  
Kelvin H. Bates ◽  
Ajay Pillarisetti ◽  
Sumit Sharma ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Chemical Transport ◽  
Ambient Air ◽  
Household Air Pollution ◽  
World Health ◽  
New Delhi ◽  
Computational Domain ◽  
Surveillance Site ◽  
The Impact

Abstract. Approximately 3 billion people worldwide cook with solid fuels, such as wood, charcoal, and agricultural residues. These fuels are often combusted in inefficient cookstoves, producing carbonaceous emissions. Between 2.6 and 3.8 million premature deaths occur as a result to exposure to fine particulate matter from the resulting household air pollution (Health Effects Institute, 2018a; World Health Organization, 2018). Household air pollution also contributes to ambient air pollution; the magnitude of this contribution is uncertain. Here, we simulate the distribution of the two major health-damaging outdoor air pollution species (PM2.5 and O3) using state-of-the-science emissions databases and atmospheric chemical transport models to estimate the impact of household combustion on ambient air quality in India. The present study focuses on New Delhi and the SOMAARTH Demographic, Development, and Environmental Surveillance Site (DDESS) in the Palwal District of Haryana, located about 80 km south of New Delhi. The DDESS covers an approximate population of 200 000 within 52 villages. The emissions inventory used in the present study was prepared based on a national inventory in India (Sharma et al., 2015, 2016), an updated residential sector inventory prepared at the University of Illinois, updated cookstove emissions factors from Fleming et al. (2018b), and PM2.5 speciation from cooking fires from Jayarathne et al. (2018). Simulation of regional air quality was carried out using the U.S. Environmental Protection Agency Community Multiscale Air Quality modeling system (CMAQ), in conjunction with the Weather Research and Forecasting modeling system (WRF) to simulate the meteorological inputs for CMAQ, and the global chemical transport model GEOS-Chem to generate concentrations on the boundary of the computational domain. Comparisons between observed and simulated O3 and PM2.5 levels are carried out to assess overall airborne levels and to estimate the contribution of household cooking emissions. Observed and predicted ozone levels over New Delhi during September 2015, December 2015, and September 2016 routinely exceeded 150 μg m−3, as compared with the 8-hour Indian standard of 100 μg m−3, and, on occasion, exceeded 200 μg m−3. PM2.5 levels are predicted over the SOMAARTH headquarters (September 2015 and September 2016), Bajada Pahari (a village in the surveillance site, September 2015, December 2015, and September 2016), and New Delhi (September 2015, December 2015, and September 2016). Predicted levels vary depending on the time of year but, on the whole, tend to be somewhat less than those observed. The predicted fractional impact of residential emissions on PM2.5 levels varies from about 0.30 in SOMAARTH HQ and Bajada Pahari to about 0.10 in New Delhi. Predicted levels of secondary organic PM2.5 during the periods studied at the three locations averaged about 5 μg m−3, representing approximately 10 % of total PM2.5 levels, accentuating the dominant role played by primary carbonaceous emissions in all three locations.

Sign in / Sign up

Export Citation Format

Share Document