Air Quality Characterisation and Modelling—2nd Edition
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: 1 July 2025 | Viewed by 881
Special Issue Editors
Interests: CO2 capture; wastewater treatment; microalgal biofuels; process modelling
Special Issues, Collections and Topics in MDPI journals
Interests: air pollution; environmental data science; knowledge discovery from databases; spatial and temporal forecasting; statistics data mining methods; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Air pollution is a mixture of particles and gases, which can reach unsafe concentrations for human health, the environment, vegetation, and materials. It has become one of the main sustainability issues and a concerning topic in atmospheric science. According to the World Health Organization (WHO), 90% of the world’s population lives in highly polluted environments, and about seven million premature deaths are caused every year by outdoor and indoor air pollution. The combination of fast-growing populations, transport, fossil fuels, and biomass burning is leading to pollution levels being especially high in some urban areas. Agriculture and natural phenomena are also an important source of pollution, underscoring the multi-faceted and transboundary nature of air pollution. The monitoring and understanding of the temporal and spatial behaviours of air pollutant concentrations are essential for both the implementation of air quality policies and the definition of effective measures to mitigate air pollution and its effects. Quantifying and monitoring exposure to air pollution in terms of public health are also critical components in policy discussion.
Continuing the success of the first edition of the Special Issue “Air Quality Characterisation and Modelling”, the second edition will present recent research activities concerning the characterization of air pollution and the applied modelling approaches.
Dr. José Carlos Magalhães Pires
Dr. Álvaro Gómez-Losada
Guest Editors
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Keywords
- particulate matter
- African dust
- nitrogen oxides
- ground-level ozone
- development, evaluation and application of models
- statistical models
- data mining and machine-learning-based models
- integrated modelling and assessment
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