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Air Quality Characterisation and Modelling
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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.
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Keywords
- AERMOD
- Air Pollution
- air pollution policy
- air pollution transmission
- Air quality
- air quality model
- air quality plans
- AQI
- atmospheric pollution
- Bayesian spline model
- biomass burning
- carbon trading
- Cluster analysis
- computational fluid dynamics
- condensable particulate matter
- Convergence
- cook stove
- COVID-19
- diff-in-diff-regression
- difference in differences model
- dispersion model
- distribution dynamics
- Economics
- Economics, finance, business & management
- Environmental economics
- environmental history
- environmental impact assessment
- Environmental science, engineering & technology
- evidence-based design
- factors of transmission
- formaldehyde (HCHO)
- green innovation efficiency
- Health risk assessment
- hot desert climate
- human thermal comfort
- indoor air quality
- indoor–outdoor relation
- inhalation
- landscape architecture
- Machine learning
- mashrabiya
- meteorological influence
- Meteorology
- Microplastics
- multiple linear regression
- national ambient air quality standards
- NO2 concentrations
- non-exhaust emissions
- NORTRIP
- NOx influence
- occupational exposure
- particulate matter
- Pearson’s correlation
- PM2.5
- PM2.5 episodes
- pollution control
- propensity score matching
- Public transport
- Reference, information & interdisciplinary subjects
- regional difference
- Research & information: general
- retention period
- rural trends
- Salvador-BA
- self-organizing maps
- Source apportionment
- spatial differentiation
- surface ozone
- Technology, engineering, agriculture
- Tehran
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
- thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
- time-series
- total volatile organic compounds (TVOC)
- urban agglomeration (UA)
- urban canyon
- urban green space
- Utah
- WRF
Links
DOI: 10.3390/books978-3-0365-7820-0Editions