Multidisciplinary Research and Data Science for Advancing Air Quality and Environmental Health
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality and Health".
Deadline for manuscript submissions: 15 June 2025 | Viewed by 62
Special Issue Editors
Interests: air quality; data science; machine learning; environmental health; pollution intervention strategies; air quality modelling
Special Issue Information
Dear Colleagues,
Air pollution remains one of the most significant environmental risks to human health. According to the World Health Organization (WHO), approximately 4.2 million premature deaths annually are linked to ambient air pollution, with even lower pollutant levels proving harmful. As cities and regions seek to develop more effective strategies to mitigate these risks, there is an urgent need for multidisciplinary approaches that integrate cutting-edge research and innovative data science techniques.
This Special Issue, titled "Multidisciplinary Research and Data Science for Advancing Air Quality and Environmental Health", seeks contributions that address the complexities of air pollution and its impact on public health. We encourage submissions from diverse fields, including environmental science, public health, and data science, with a focus on the following topics:
- Air quality modelling: Investigating the chemical and physical processes of pollutants and simulating the behavior and interaction of air pollutants at various spatial scales.
- Health impact assessments: Evaluating the direct and indirect health effects of air pollution on vulnerable populations, including the impacts of particulate matter (PM2.5, PM10), nitrogen oxides (NOx), and ozone (O3).
- Exposure and risk assessments: Utilizing advanced data analytics, remote sensing, and machine learning to assess population exposure to pollution and develop risk models that inform public health strategies.
- Policy and intervention studies: Quantifying the effectiveness of air quality policies and interventions, including Clean Air Zones and urban traffic management, and examining the co-benefits of broader environmental strategies like Net Zero initiatives.
This Special Issue aims to integrate multidisciplinary insights and advanced analytical techniques, providing actionable research for cleaner, healthier urban environments. By bridging the gap between research, data science, and policy, we can develop effective strategies to protect public health and advance sustainable urban development.
We look forward to receiving your valuable contributions.
Dr. Yuqing Dai
Dr. Joe Acton
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- air quality
- data science
- multidisciplinary research
- environmental health
- pollution mitigation strategies
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