scholarly journals Long-Term Exposure to Urban Air Pollution and Mortality in a Cohort of More than a Million Adults in Rome

2013 ◽  
Vol 121 (3) ◽  
pp. 324-331 ◽  
Author(s):  
Giulia Cesaroni ◽  
Chiara Badaloni ◽  
Claudio Gariazzo ◽  
Massimo Stafoggia ◽  
Roberto Sozzi ◽  
...  
Keyword(s):  
Air Pollution ◽  
Urban Air Pollution ◽  
Urban Air

Long-term urban air pollution exposures and chronic kidney disease in the elderly population in Taiwan

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Szu-Ying Chen* ◽  
Da-Chen Chu ◽  
Jui-Huan Lee ◽  
YA-RU YANG ◽  
Chang-Chuan Chan
Keyword(s):  
Chronic Kidney Disease ◽  
Air Pollution ◽  
Kidney Disease ◽  
Elderly Population ◽  
Urban Air Pollution ◽  
The Elderly ◽  
Urban Air

scholarly journals Impact of Geocoding Methods on Associations between Long-term Exposure to Urban Air Pollution and Lung Function

2013 ◽  
Vol 121 (9) ◽  
pp. 1054-1060 ◽  
Author(s):  
Bénédicte Jacquemin ◽  
Johanna Lepeule ◽  
Anne Boudier ◽  
Caroline Arnould ◽  
Meriem Benmerad ◽  
...  
Keyword(s):  
Air Pollution ◽  
Lung Function ◽  
Urban Air Pollution ◽  
Urban Air

Long-Term Exposure to Urban Air Pollution and Myocardial Infarction

Epidemiology ◽  
2006 ◽  
Vol 17 (4) ◽  
pp. 383-390 ◽  
Author(s):  
Mats Rosenlund ◽  
Niklas Berglind ◽  
G??ran Pershagen ◽  
Johan Hallqvist ◽  
Tage Jonson ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Air Pollution ◽  
Urban Air Pollution ◽  
Urban Air

Long-term exposure to urban air pollution and lung cancer mortality: A 12-year cohort study in Northern China

2016 ◽  
Vol 571 ◽  
pp. 855-861 ◽  
Author(s):  
Xi Chen ◽  
Li-wen Zhang ◽  
Jia-ju Huang ◽  
Feng-ju Song ◽  
Luo-ping Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Air Pollution ◽  
Cohort Study ◽  
Cancer Mortality ◽  
Urban Air Pollution ◽  
Lung Cancer Mortality ◽  
Northern China ◽  
Urban Air

scholarly journals A take-home message from COVID-19 on urban air pollution reduction through mobility limitations and teleworking

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Alba Badia ◽  
Johannes Langemeyer ◽  
Xavier Codina ◽  
Joan Gilabert ◽  
Nacho Guilera ◽  
...  
Keyword(s):  
Air Pollution ◽  
Large Scale ◽  
Transport Model ◽  
Urban Air Pollution ◽  
Urban Air ◽  
Mobility Limitations ◽  
Chemistry Transport Model ◽  
Work From Home ◽  
Effective Contribution

AbstractThe rigorous traffic limitations during COVID-19 have forced many people to work from home, reaching an outstanding degree of teleworking and reduction in air pollution. This exceptional situation can be examined as a large-scale pilot test to determine the potential of improving urban air quality through teleworking. Based on observed traffic reductions during the COVID-19 lockdown in Barcelona, we formulate socio-occupational scenarios, with various configurations of teleworking, and simulate them using the chemistry transport model WRF-Chem with multi-layer urban scheme. By intensifying teleworking to 2, 3, and 4 days a week, averaged NO2 concentrations are reduced by 4% (−1.5 μg m−3), 8% (−3 μg m−3), and 10% (−6 μg m−3), respectively, while O3 increases moderately (up to 3 μg m−3). We propose that teleworking be prioritized and promoted as an effective contribution towards reduction of long-term urban air pollution and short-term pollution peaks.

Long-term exposure to urban air pollution and the relationship with life expectancy in cohort of 3.5 million people in Silesia

2017 ◽  
Vol 580 ◽  
pp. 1-8 ◽  
Author(s):  
Grzegorz Dziubanek ◽  
Anna Spychała ◽  
Ewa Marchwińska-Wyrwał ◽  
Monika Rusin ◽  
Ilona Hajok ◽  
...  
Keyword(s):  
Air Pollution ◽  
Life Expectancy ◽  
Urban Air Pollution ◽  
Urban Air ◽  
The Relationship

An Urban Air Pollution Early Warning System Based on PM2.5 Prediction Applied in Ploiesti City

2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache
Keyword(s):  
Air Pollution ◽  
Early Warning ◽  
Urban Areas ◽  
Early Warning System ◽  
Urban Air Pollution ◽  
Warning System ◽  
Air Pollutant ◽  
Pollution Level ◽  
Urban Air ◽  
Prediction Approach

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.

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