Innovative Solutions for Air Quality Monitoring and Assessment in Environmental Systems
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 472
Special Issue Editors
Interests: life cycle assessment; air quality modelling; air pollution control; artificial intelligence; climate change impact; decision making analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Efforts to combat air pollution have intensified globally, but persistent challenges necessitate ongoing dedication to improve air quality at both local and regional levels. In this context, the Special Issue “Innovative Solutions for Air Quality Monitoring and Assessment in Environmental Systems” highlights the latest advancements in air quality monitoring and analysis.
The urgency for sophisticated assessment methods is heightened by the complex interactions between pollutants, natural processes, and human activities within environmental systems, such as urban areas, industrial zones, agricultural areas, and natural ecosystems. These interactions are critical for developing effective monitoring and mitigation strategies. Climate change further complicates air quality issues through altering pollutant dispersion patterns and their transport mechanisms by increasing the frequency and severity of extreme weather events.
Topics in this issue include the development of advanced sensors for detecting pollutants such as particulate matter, ground level ozone, and volatile organic compounds (VOCs). The issue also covers the application of artificial intelligence and machine learning to refine air quality models, innovative sampling techniques, real-time monitoring systems, and remote sensing technologies for assessing air pollution at various scales. Additionally, the issue will feature research on understanding the interactions between pollutants and various environmental systems, as well as impact assessments. Reflecting global efforts to achieve net-zero emissions, this Special Issue aims to enhance our understanding of pollutant dynamics and provide evidence-based insights for effective policy and management practices. Researchers and practitioners are invited to submit their original research, reviews, and case studies. By highlighting recent advancements, this Special Issue strives to accelerate progress towards cleaner air and sustainable solutions in the face of evolving environmental challenges.
Dr. Zunaira Asif
Dr. Imran Shahid
Guest Editors
Manuscript Submission Information
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Keywords
- air quality monitoring
- advanced sensors
- artificial intelligence
- machine learning models
- pollutant dispersion
- monitoring systems
- remote sensing technologies
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