scholarly journals APExpose_DE, an air quality exposure dataset for Germany 2010–2019

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alexandre Caseiro ◽  
Erika von Schneidemesser

AbstractExposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the long-term exposure to air pollution. We present the APExpose_DE dataset, a long-term (2010–2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level for Germany (corresponding to the Landkreis or Kreisfreie Stadt in Germany, 402 in total).

Author(s):  
NV Zaitseva ◽  
IG Zhdanova-Zaplesvichko ◽  
MA Zemlyanova ◽  
AN Perezhogin ◽  
DF Savinykh

Summary. Introduction: Within the framework of the Federal Clean Air Project, it is envisaged to implement comprehensive action plans aimed at reducing air pollution and increasing the level of public satisfaction with the environmental situation in a number of industrial centers of the Russian Federation with high and extremely high levels of ambient air pollution. Decree No. 1792 of the Russian Government of December 24, 2019 approved the requirements for compensatory measures aimed at improving ambient air quality, preventing and eliminating adverse health effects of environmental factors. To increase the validity and adequacy of the measures taken, it is necessary to elaborate method approaches for Rospotrebnadzor bodies to designing and conducting studies on establishing the association between air pollution and adverse health outcomes in the population living in industrially contaminated areas. The purpose of our work was to substantiate an algorithm of actions and to demonstrate its efficiency within epidemiological studies focused on establishing and proving the causal relationship between airborne chemicals and observed health consequences in the population. Materials and methods included a set of modern hygienic and epidemiological research methods, assessment of risk and its health damage, in-depth research, and modeling of cause and effect relationships. Results: We proposed approaches and conducted studies to establish the link between industrial air pollution and the diseases diagnosed in the exposed population. Conclusions: The suggested algorithm of actions tested in the city of Bratsk proved to be effective and helped identify risk-attributed health disorders; specify the pollutants requiring development or adjustment of measures to reduce their ambient emissions; clarify and expand the list of target organs and systems for prediction and monitoring; substantiate and fulfil managerial decisions and adequate targeted preventive measures based on health damage criteria.


2019 ◽  
Vol 29 (2) ◽  
Author(s):  
Gregor Feig ◽  
Rebecca M. Garland ◽  
Seneca Naidoo ◽  
Amukelani Maluleke ◽  
Marna Van der Merwe

Ambient air pollution has important impacts on a variety of environmental issues, particularly on human health and ecosystem processes. A key tool for understanding the impacts of atmospheric pollution is through the long term measurement of the ambient concentrations of criteria atmospheric pollutants. Monitoring of ambient pollution concentrations has been conducted in the National Air Quality Priority areas since 2009. During this time period, significant changes in the management of air pollution have occurred, including the adoption of the ambient air quality standards, and the implementation of section 21 emission standards. This paper examines the long term evolution of ambient concentrations for PM, SO2 in the Vaal Triangle Airshed Priority Area 2007-2017 and Highveld Priority Area. These trends will be evaluated against the implementation of management interventions and highlight the variation in the measured concentrations and emerging areas of concern.  


2011 ◽  
Vol 21 (2) ◽  
pp. 132-143 ◽  
Author(s):  
Kota Katanoda ◽  
Tomotaka Sobue ◽  
Hiroshi Satoh ◽  
Kazuo Tajima ◽  
Takaichiro Suzuki ◽  
...  

Author(s):  
Nikolaos Kanellopoulos ◽  
Ioannis Pantazopoulos ◽  
Maria Mermiri ◽  
Georgios Mavrovounis ◽  
Georgios Kalantzis ◽  
...  

Ambient air pollution accounts for an estimated 4.2 million deaths worldwide. Particulate matter (PM)2.5 particles are believed to be the most harmful, as when inhaled they can penetrate deep into the lungs. The aim of this study was to examine the relationship between PM2.5 daily air concentrations and pediatric emergency department (ED) visits for respiratory diseases in a Greek suburban area. All pediatric ED visits for asthma-, pneumonia- and upper respiratory infection (URI)-related complaints were recorded during the one-year period. The 24-h PM2.5 air pollution data were prospectively collected from twelve fully automated air quality monitoring stations. The mean annual concentration of PM2.5 was 30.03μg/m3 (World Health Organization (WHO) Air Quality Guidelines (AQG) Annual mean concentration: 10 μg/m3). PM2.5 levels rose above the WHO Air Quality Guidelines (AQG) 24-h concentrations (25 μg/m3)), 178 times (48.6% of the study period). When PM2.5 levels were above the daily limit, an increase of 32.44% (p < 0.001) was observed in daily pediatric ED visits for respiratory diseases and the increase was much higher during spring (21.19%, p = 0.018). A 32% (p < 0.001) increase was observed in URI-related visits, when PM2.5 levels were ≥ 25 μg/m3, compared to the mean daily visits when PM2.5 levels were < 25 μg/m3. Air pollution levels were associated with increased pediatric ED visits for respiratory-related diseases.


Author(s):  
Mona Elbarbary ◽  
Artem Oganesyan ◽  
Trenton Honda ◽  
Geoffrey Morgan ◽  
Yuming Guo ◽  
...  

There is an established association between air pollution and cardiovascular disease (CVD), which is likely to be mediated by systemic inflammation. The present study evaluated links between long-term exposure to ambient air pollution and high-sensitivity C reactive protein (hs-CRP) in an older Chinese adult cohort (n = 7915) enrolled in the World Health Organization (WHO) study on global aging and adult health (SAGE) China Wave 1 in 2008–2010. Multilevel linear and logistic regression models were used to assess the associations of particulate matter (PM) and nitrogen dioxide (NO2) on log-transformed hs-CRP levels and odds ratios of CVD risk derived from CRP levels adjusted for confounders. A satellite-based spatial statistical model was applied to estimate the average community exposure to outdoor air pollutants (PM with an aerodynamic diameter of 10 μm or less (PM10), 2.5 μm or less (PM2.5), and 1 μm or less (PM1) and NO2) for each participant of the study. hs-CRP levels were drawn from dried blood spots of each participant. Each 10 μg/m3 increment in PM10, PM2.5, PM1, and NO2 was associated with 12.8% (95% confidence interval; (CI): 9.1, 16.6), 15.7% (95% CI: 10.9, 20.8), 10.2% (95% CI: 7.3, 13.2), and 11.8% (95% CI: 7.9, 15.8) higher serum levels of hs-CRP, respectively. Our findings suggest that air pollution may be an important factor in increasing systemic inflammation in older Chinese adults.


Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 678
Author(s):  
Adeeba Al-Hurban ◽  
Sawsan Khader ◽  
Ahmad Alsaber ◽  
Jiazhu Pan

This study aimed to examine the trend of ambient air pollution (i.e., ozone (O3), nitrogen monoxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulfur dioxide (SO2), carbon monoxide (CO), benzene (C6H6) and particulate matter with an aerodynamic diameter smaller than 10 microns (PM10), and non-methane hydrocarbons (NMHCs) at 10 monitoring stations located in the main residential and industrial areas in the State of Kuwait over 6 years (2012–2017). We found that the SO2 level in industrial areas (0.065 ppm) exceeded the allowable range of SO2 in residential areas (0.030 ppm). Air pollution variables were defined by the Environmental Public Authority of Kuwait (K-EPA). In this study, integrated statistical analysis was performed to compare an established air pollution database to Kuwait Ambient Air Quality Guidelines and to determine the association between pollutants and meteorological factors. All pollutants were positively correlated, with the exception of most pollutants and PM10 and O3. Meteorological factors, i.e., the ambient temperature, wind speed and humidity, were also significantly associated with the above pollutants. Spatial distribution mapping indicated that the PM10 level remained high during the southwest monsoon (the hot and dry season), while the CO level was high during the northeast monsoon (the wet season). The NO2 and O3 levels were high during the first intermonsoon season.


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