Air Quality Characterisation and Modelling

Edited by
May 2023
296 pages
  • ISBN978-3-0365-7821-7 (Hardback)
  • ISBN978-3-0365-7820-0 (PDF)

This book is a reprint of the Special Issue Air Quality Characterisation and Modelling that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities

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 7 million premature deaths are caused yearly by outdoor and indoor air pollution. The combination of fast-growing populations, transport, fossil fuels, and biomass burning leads to pollution levels being especially high in some urban areas. Agriculture and natural phenomena are also important sources 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 is also a critical component in policy discussion. This reprint presents recent research activities concerning the characterization of air pollution and the applied modelling approaches.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
carbon trading; green innovation efficiency; propensity score matching; difference in differences model; meteorology; WRF; air quality; AERMOD; source apportionment; environmental impact assessment; condensable particulate matter; air quality model; PM2.5; air pollution; particulate matter; microplastics; non-exhaust emissions; NORTRIP; air pollution transmission; indoor–outdoor relation; urban canyon; computational fluid dynamics; factors of transmission; cluster analysis; meteorological influence; Multiple linear regression; NOx influence; Pearson’s correlation; rural trends; surface ozone; mashrabiya; total volatile organic compounds (TVOC); formaldehyde (HCHO); retention period; hot desert climate; occupational exposure; Bayesian spline model; time-series; public transport; particulate matter; inhalation; air quality; air quality plans; PM2.5 episodes; air quality; air pollution policy; NO2 concentrations; diff-in-diff-regression; urban agglomeration (UA); air quality; regional difference; distribution dynamics; convergence; air pollution; air quality; Utah; environmental history; national ambient air quality standards; machine learning; atmospheric pollution; self-organizing maps; Salvador-BA; COVID-19; air pollution; Tehran; AQI; landscape architecture; urban green space; human thermal comfort; spatial differentiation; evidence-based design; dispersion model; health risk assessment; particulate matter; indoor air quality; cook stove; biomass burning

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