scholarly journals MODELS DESCRIBING THE ENVIRONMENTAL EFFECTS OF POLLUTANT EMISSIONS BY ROAD TRANSPORT

2021 ◽  
Author(s):  
Xindi Huang ◽  
Nadezhda Yudina
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Gaussian Model ◽  
Pollutant Emissions ◽  
World Health ◽  
Bottom Surface ◽  
Small Scale ◽  
Forecasting Model ◽  
Transfer Model ◽  
The World

Air pollution is the most serious environmental problem facing most industrial cities in the world and in China. The World Health Organization measured the concentration of sulfur dioxide, nitrogen dioxide and total suspended particulate matter in 272 cities in 53 countries around the world, listing the ten most severely polluted cities in the world. The spatial and temporal distribu-tion of air pollutants depends on various factors such as the meteorological field, the source of emissions, the complex bottom surface of the site, the interplay of physical and chemical processes, and has strong non-linear characteristics [5]. Air quality forecasting is commonly used in the field of statistical forecasting methods, according to long-term monitoring data, the creation of a statisti-cal forecasting model, the model is simple, easy to operate business, but no solid physical founda-tion, and another numerical forecasting model based on atmospheric physics and material transfer model although the physical foundation is solid, comprehensive forecast results, but the forecast results are not reliable. Already in the 1950s, the system of meteorology of air pollution was gradu-ally formed, the box model, the Gaussian model, the Lagrange model, the Euler model, the dense gas model and other five types of models appeared. The first Gaussian model allows one to obtain a diffusion model of a local small-scale space and make predictions, then, based on the Gaussian model of the study, a modified model is obtained for other reliefs and weather conditions. There-fore, the modeling accuracy and applicable conditions are difficult to cope with the needs of large-scale complex meteorological conditions of air quality models.

scholarly journals Wildfire air pollution hazard during the 21st century

2017 ◽  
Vol 17 (14) ◽  
pp. 9223-9236 ◽  
Author(s):  
Wolfgang Knorr ◽  
Frank Dentener ◽  
Jean-François Lamarque ◽  
Leiwen Jiang ◽  
Almut Arneth
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Significant Risk ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Anthropogenic Sources ◽  
World Health ◽  
Fire Season ◽  
Worst Case ◽  
The World

Abstract. Wildfires pose a significant risk to human livelihoods and are a substantial health hazard due to emissions of toxic smoke. Previous studies have shown that climate change, increasing atmospheric CO2, and human demographic dynamics can lead to substantially altered wildfire risk in the future, with fire activity increasing in some regions and decreasing in others. The present study re-examines these results from the perspective of air pollution risk, focussing on emissions of airborne particulate matter (PM2. 5), combining an existing ensemble of simulations using a coupled fire–dynamic vegetation model with current observation-based estimates of wildfire emissions and simulations with a chemical transport model. Currently, wildfire PM2. 5 emissions exceed those from anthropogenic sources in large parts of the world. We further analyse two extreme sets of future wildfire emissions in a socio-economic, demographic climate change context and compare them to anthropogenic emission scenarios reflecting current and ambitious air pollution legislation. In most regions of the world, ambitious reductions of anthropogenic air pollutant emissions have the potential to limit mean annual pollutant PM2. 5 levels to comply with World Health Organization (WHO) air quality guidelines for PM2. 5. Worst-case future wildfire emissions are not likely to interfere with these annual goals, largely due to fire seasonality, as well as a tendency of wildfire sources to be situated in areas of intermediate population density, as opposed to anthropogenic sources that tend to be highest at the highest population densities. However, during the high-fire season, we find many regions where future PM2. 5 pollution levels can reach dangerous levels even for a scenario of aggressive reduction of anthropogenic emissions.

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 Global Air Quality: An Inter-Disciplinary Approach to Exposure Assessment for Burden of Disease Analyses

Atmosphere ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Gavin Shaddick ◽  
James M. Salter ◽  
Vincent-Henri Peuch ◽  
Guilia Ruggeri ◽  
Matthew L. Thomas ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Atmospheric Composition ◽  
World Health ◽  
Sources Of Information ◽  
Integration Model ◽  
Country Level ◽  
The World ◽  
Development Goals ◽  
Health Organization

Global assessments of air quality and health require comprehensive estimates of the exposures to air pollution that are experienced by populations in every country. However, there are many countries in which measurements from ground-based monitoring are sparse or non-existent, with quality-control and representativeness providing additional challenges. While ground-based monitoring provides a far from complete picture of global air quality, there are other sources of information that provide comprehensive coverage across the globe. The World Health Organization developed the Data Integration Model for Air Quality (DIMAQ) to combine information from ground measurements with that from other sources, such as atmospheric chemical transport models and estimates from remote sensing satellites in order to produce the information that is required for health burden assessment and the calculation of air pollution-related Sustainable Development Goals indicators. Here, we show an example of the use of DIMAQ with the Copernicus Atmosphere Monitoring Service Re-Analysis (CAMSRA) of atmospheric composition, which represents the best practices in meteorology and climate monitoring that were developed under the World Meteorological Organization’s Global Atmosphere Watch programme. Estimates of PM2.5 from CAMSRA are integrated within the DIMAQ framework in order to produce high-resolution estimates of air pollution exposure that can be aggregated in a coherent fashion to produce country-level assessments of exposures.

scholarly journals Impact of Air Pollution on Respiratory Health in Children With Developmental Coordination Disorder

2020 ◽  
Vol 11 (4) ◽  
pp. 6391-6394
Author(s):  
Ganapathy Sankar U ◽  
Monisha R
Keyword(s):  
Air Pollution ◽  
Risk Factor ◽  
Air Quality ◽  
Quality Index ◽  
Respiratory Health ◽  
Significant Risk ◽  
Air Quality Index ◽  
World Health ◽  
Vehicular Pollution ◽  
The World

Air pollution is regarded as a significant global public health risk factor in cities around the world. It is considered as one of the highest-ranking environmental health challenges in the world, particularly in developing countries like India. Air pollution is a significant risk factor for the development of various lung disorders. World Health Organization (WHO) defined air pollution as the impurity in the environment in and around by the physical, chemical, or biological agent, which has changed the natural characteristics of the atmosphere. The environmental factors related to air pollution induces the risk of allergic asthmatic reaction and emergency intervention. According to the respiratory health investigation people who are exposed to vehicular pollution for a longer duration, are in a risk to develop asthma. The air pollutants rates were measured by using the application real-time air quality index in which the air quality rate is evaluated. We piloted ten children with DCD of age about 5 - 10 years were analysed with wrights’ peak flow meter. Results of the study predicted that there is a decrease in peak expiratory flow rate with the predicted value (.000) and increase in the shortness of breath questionnaire with the predicted value (.077) on comparing over air quality index. This study concludes that there is an impact of air pollution among children with DCD.

scholarly journals 6.D. Workshop: Climate change, energy issues and air pollution – as a triad of health priorities

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Air Pollution ◽  
Air Quality ◽  
Water Resources ◽  
Health Sector ◽  
World Health ◽  
Health Priorities ◽  
The World ◽  
Energy Issues

Abstract As well known, climate change changes weather patterns, producing far-reaching effects on the environment, the economy and society as a whole, endangering global livelihoods, health, food and energy security, and water resources. Climate change, although globally threating to the human population and biocenosis, yet has some positive sides if the unity achieved through the Green Deal (GD) can be named so. It is difficult to prioritize among many present-day challenges and many health threats. This document strongly confirms the path to be navigated. What is the role of health professionals and what is the possible contribution of public health? This European Commission document envisages Europe as the first climate-neutral continent while strengthening its economy, taking care of and improving its inhabitants' health. The GD insists on the care for nature and a clear view that no one should be left out and left behind. This workshop points out that, even we have large regulatory framework on clean air, air pollution in the European Union continues to be the top environmental threat to health, leading to approx. 400,000 early deaths annually and high health costs. Over 20 of the 27 EU countries fail to keep air quality standards, which for key pollutants are already less strict than what the World Health Organization (WHO) recommends. There were several possible scenarios, out of which two were considered: one based on collaboration and the other, on conflict. Several dimensions were examined to address both cooperation instruments and the consequences of non-cooperation: Energy production (e.g., conventional versus renewable) and use; water resources and food security; the environment (air quality) and the impact on health; Population and migration flow. The Energy issues in the world demand new innovative ways of providing us with energy. Innovations sometimes go faster than the health sector can study the disadvantages for health. The burden of disease might change due to new forms of energy. It is important to note that health sector has an opportunity to not only prevent further damage from the air pollution and climate crises, but also to improve health outcomes by decarbonizing, building climate resilience, and amplifying the message around the interdependency between climate change and human health. This workshop will present a framework, co-developed by WHO and Health Care Without Harm, for climate-resilient, sustainable health facilities. Key messages The public health sector should consider the GD as an argument for achieving goals at national levels, and align national public health policies with the goals of this document. Achieving goals requires the education process for healthcare professionals covering all of topics of climate change, energy and air pollution to a much greater extent than before.

scholarly journals Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ram Kumar Singh ◽  
Martin Drews ◽  
Manuel De la Sen ◽  
Prashant Kumar Srivastava ◽  
Bambang H. Trisasongko ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Global Economy ◽  
Respiratory Diseases ◽  
Environmental Pollutants ◽  
Atmospheric Pollutants ◽  
Geospatial Technology ◽  
The World ◽  
Community Transmission ◽  
Global Threat

AbstractThe new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections.

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.

CAMS-Net: The Clean Air Monitoring and Solutions Network

2021 ◽  
Author(s):  
Daniel Westervelt ◽  
Celeste McFarlane ◽  
Faye McNeill ◽  
R (Subu) Subramanian ◽  
Mike Giordano ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Low Cost ◽  
Air Monitoring ◽  
Quality Data ◽  
Calibration Methods ◽  
The World ◽  
Clean Air

<p>There is a severe lack of air pollution data around the world. This includes large portions of low- and middle-income countries (LMICs), as well as rural areas of wealthier nations as monitors tend to be located in large metropolises. Low cost sensors (LCS) for measuring air pollution and identifying sources offer a possible path forward to remedy the lack of data, though significant knowledge gaps and caveats remain regarding the accurate application and interpretation of such devices.</p><p>The Clean Air Monitoring and Solutions Network (CAMS-Net) establishes an international network of networks that unites scientists, decision-makers, city administrators, citizen groups, the private sector, and other local stakeholders in co-developing new methods and best practices for real-time air quality data collection, data sharing, and solutions for air quality improvements. CAMS-Net brings together at least 32 multidisciplinary member networks from North America, Europe, Africa, and India. The project establishes a mechanism for international collaboration, builds technical capacity, shares knowledge, and trains the next generation of air quality practitioners and advocates, including domestic and international graduate students and postdoctoral researchers. </p><p>Here we present some preliminary research accelerated through the CAMS-Net project. Specifically, we present LCS calibration methodology for several co-locations in LMICs (Accra, Ghana; Kampala, Uganda; Nairobi, Kenya; Addis Ababa, Ethiopia; and Kolkata, India), in which reference BAM-1020 PM2.5 monitors were placed side-by-side with LCS. We demonstrate that both simple multiple linear regression calibration methods for bias-correcting LCS and more complex machine learning methods can reduce bias in LCS to close to zero, while increasing correlation. For example, in Kampala, Raw PurpleAir PM2.5 data are strongly correlated with the BAM-1020 PM2.5 (r<sup>2</sup> = 0.88), but have a mean bias of approximately 12 μg m<sup>-3</sup>. Two calibration models, multiple linear regression and a random forest approach, decrease mean bias from 12 μg m<sup>-3 </sup>to -1.84 µg m<sup>-3</sup> or less and improve the the r<sup>2</sup> from 0.88 to 0.96. We find similar performance in several other regions of the world. Location-specific calibration of low-cost sensors is necessary in order to obtain useful data, since sensor performance is closely tied to environmental conditions such as relative humidity. This work is a first step towards developing a database of region-specific correction factors for low cost sensors, which are exploding in popularity globally and have the potential to close the air pollution data gap especially in resource-limited countries. </p><p> </p><p> </p>

scholarly journals Poor Air Quality and Its Association with Mortality in Ho Chi Minh City: Case Study

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 750
Author(s):  
Hoang Ngoc Khue Vu ◽  
Quang Phuc Ha ◽  
Duc Hiep Nguyen ◽  
Thi Thu Thuy Nguyen ◽  
Thoai Tam Nguyen ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Air Pollutants ◽  
Ambient Air ◽  
Air Quality Modeling ◽  
World Health ◽  
Ho Chi Minh City ◽  
Annual Average ◽  
Quality Modeling ◽  
Concentration Of Air Pollutants

Along with its rapid urban development, Ho Chi Minh City (HCMC) in recent years has suffered a high concentration of air pollutants, especially fine particulate matters or PM2.5. A comprehensive study is required to evaluate the air quality conditions and their health impact in this city. Given the lack of adequate air quality monitoring data over a large area of the size of HCMC, an air quality modeling methodology is adopted to address the requirement. Here, by utilizing a corresponding emission inventory in combination with The Air Pollution Model-Chemical Transport Model (TAPM-CTM), the predicted concentration of air pollutants is first obtained for PM2.5, NOx, and SO2. Then by associating the pollutants exposed with the mortality rate from three causes, namely Ischemic Heart Disease (IHD), cardiopulmonary, and lung cancer, the impact of air pollution on human health is obtained for this purpose. Spatial distribution has shown a high amount of pollutants concentrated in the central city with a high density of combustion vehicles (motorcycles and automobiles). In addition, a significant amount of emissions can be observed from stevedoring and harbor activities, including ferries and cargo handling equipment located along the river. Other sources such as household activities also contribute to an even distribution of emission across the city. The results of air quality modeling showed that the annual average concentrations of NO2 were higher than the standard of Vietnam National Technical Regulation on Ambient Air Quality (QCVN 05: 2013 40 µg/m3) and World Health Organization (WHO) (40 µg/m3). The annual average concentrations of PM2.5 were 23 µg/m3 and were also much higher than the WHO (10 µg/m3) standard by about 2.3 times. In terms of public health impacts, PM2.5 was found to be responsible for about 1136 deaths, while the number of mortalities from exposure to NO2 and SO2 was 172 and 89 deaths, respectively. These figures demand some stringent measures from the authorities to potentially remedy the alarming situation of air pollution in HCM City.

scholarly journals EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010

2017 ◽  
Vol 10 (9) ◽  
pp. 3255-3276 ◽  
Author(s):  
Augustin Colette ◽  
Camilla Andersson ◽  
Astrid Manders ◽  
Kathleen Mar ◽  
Mihaela Mircea ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Boundary Conditions ◽  
Radiative Forcing ◽  
Regional Scale ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Mitigation Measures ◽  
Modelling Experiment ◽  
Technical Features

Abstract. The EURODELTA-Trends multi-model chemistry-transport experiment has been designed to facilitate a better understanding of the evolution of air pollution and its drivers for the period 1990–2010 in Europe. The main objective of the experiment is to assess the efficiency of air pollutant emissions mitigation measures in improving regional-scale air quality. The present paper formulates the main scientific questions and policy issues being addressed by the EURODELTA-Trends modelling experiment with an emphasis on how the design and technical features of the modelling experiment answer these questions. The experiment is designed in three tiers, with increasing degrees of computational demand in order to facilitate the participation of as many modelling teams as possible. The basic experiment consists of simulations for the years 1990, 2000, and 2010. Sensitivity analysis for the same three years using various combinations of (i) anthropogenic emissions, (ii) chemical boundary conditions, and (iii) meteorology complements it. The most demanding tier consists of two complete time series from 1990 to 2010, simulated using either time-varying emissions for corresponding years or constant emissions. Eight chemistry-transport models have contributed with calculation results to at least one experiment tier, and five models have – to date – completed the full set of simulations (and 21-year trend calculations have been performed by four models). The modelling results are publicly available for further use by the scientific community. The main expected outcomes are (i) an evaluation of the models' performances for the three reference years, (ii) an evaluation of the skill of the models in capturing observed air pollution trends for the 1990–2010 time period, (iii) attribution analyses of the respective role of driving factors (e.g. emissions, boundary conditions, meteorology), (iv) a dataset based on a multi-model approach, to provide more robust model results for use in impact studies related to human health, ecosystem, and radiative forcing.

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