Aerosols and Air Pollution
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 33478
Special Issue Editors
Interests: chemical characterization of PM2.5; source apportionment of particulate matters; black carbon aerosol
Interests: reactive nitrogen oxides; nitrogen containing aerosol; organic nitrogen; particulate matter; emission; secondary formation; source apportionment; modelling; bigdata analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Aerosols significantly affect human health and play an important role in global climate change. Among the 17 Sustainable Development Goals (SDGs) set by the United Nations, two SDGs—which are SDGs 11 (to make cities and human settlements inclusive, safe, resilient, and sustainable) and SDGs 13 (to take urgent action to combat climate change and its impacts)—are closely related to air pollution or aerosols. In《The Sustainable Development Goals Report 2019》, air pollution was emphasized as an unavoidable health hazard and 90% urban residents in 2016 were breathing polluted air that did not meet the WHO air quality guidelines for annual mean levels of PM2.5 of 10 μg/m3. On 22 September 2021, the World Health Organization released new global air quality guidelines (AQGs) of PM2.5, which was lowered from 10 μg/m3 to 5 μg/m3. In summary, air pollution has become a great challenge to achieving sustainable development.
This Special Issue aims to collect new ideas of research on air pollutants and provides an advanced forum for studies related to air pollution, particularly aerosols. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Sources and the chemical characteristics of PM2.5 in urban areas;
- Assessment of health risks from PM2.5;
- Interactions between atmospheric particulate matter and plants;
- Economic losses (e.g., grain reduction) caused by air pollution;
- Satellite remote sensing monitoring of aerosols;
- Response of air pollution to mitigation strategies;
- Assessment of climate effects of aerosols;
- Machine learning predicts air pollution.
We look forward to receiving your contributions.
Dr. Lan Yao
Dr. Xinfeng Wang
Guest Editors
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Keywords
- air quality
- aerosols
- chemical compositions
- source emissions
- remote sensing
- machine learning
- health risks
- climate effects
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