Air Quality Characterisation and Modelling

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),...

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Other Authors: Pires, José Carlos Magalhães (Editor), Gómez-Losada, Álvaro (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Air Quality Characterisation and Modelling 
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520 |a 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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650 7 |a Research & information: general  |2 bicssc 
650 7 |a Environmental economics  |2 bicssc 
650 7 |a Pollution control  |2 bicssc 
653 |a carbon trading 
653 |a green innovation efficiency 
653 |a propensity score matching 
653 |a difference in differences model 
653 |a meteorology 
653 |a WRF 
653 |a air quality 
653 |a AERMOD 
653 |a source apportionment 
653 |a environmental impact assessment 
653 |a condensable particulate matter 
653 |a air quality model 
653 |a PM2.5 
653 |a air pollution 
653 |a particulate matter 
653 |a microplastics 
653 |a non-exhaust emissions 
653 |a NORTRIP 
653 |a air pollution transmission 
653 |a indoor-outdoor relation 
653 |a urban canyon 
653 |a computational fluid dynamics 
653 |a factors of transmission 
653 |a cluster analysis 
653 |a meteorological influence 
653 |a Multiple linear regression 
653 |a NOx influence 
653 |a Pearson's correlation 
653 |a rural trends 
653 |a surface ozone 
653 |a mashrabiya 
653 |a total volatile organic compounds (TVOC) 
653 |a formaldehyde (HCHO) 
653 |a retention period 
653 |a hot desert climate 
653 |a occupational exposure 
653 |a Bayesian spline model 
653 |a time-series 
653 |a public transport 
653 |a inhalation 
653 |a air quality plans 
653 |a PM2.5 episodes 
653 |a air pollution policy 
653 |a NO2 concentrations 
653 |a diff-in-diff-regression 
653 |a urban agglomeration (UA) 
653 |a regional difference 
653 |a distribution dynamics 
653 |a convergence 
653 |a Utah 
653 |a environmental history 
653 |a national ambient air quality standards 
653 |a machine learning 
653 |a atmospheric pollution 
653 |a self-organizing maps 
653 |a Salvador-BA 
653 |a COVID-19 
653 |a Tehran 
653 |a AQI 
653 |a landscape architecture 
653 |a urban green space 
653 |a human thermal comfort 
653 |a spatial differentiation 
653 |a evidence-based design 
653 |a dispersion model 
653 |a health risk assessment 
653 |a indoor air quality 
653 |a cook stove 
653 |a biomass burning 
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