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 ◽  
...  

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.

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Szu-Ying Chen* ◽  
Da-Chen Chu ◽  
Jui-Huan Lee ◽  
YA-RU YANG ◽  
Chang-Chuan Chan

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

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

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

2016 ◽  
Vol 571 ◽  
pp. 855-861 ◽  
Author(s):  
Xi Chen ◽  
Li-wen Zhang ◽  
Jia-ju Huang ◽  
Feng-ju Song ◽  
Luo-ping Zhang ◽  
...  

2017 ◽  
Vol 580 ◽  
pp. 1-8 ◽  
Author(s):  
Grzegorz Dziubanek ◽  
Anna Spychała ◽  
Ewa Marchwińska-Wyrwał ◽  
Monika Rusin ◽  
Ilona Hajok ◽  
...  

2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache

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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