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dc.contributor.editorPires, José Carlos Magalhães
dc.contributor.editorGómez-Losada, Álvaro
dc.date.accessioned2023-06-23T09:53:36Z
dc.date.available2023-06-23T09:53:36Z
dc.date.issued2023
dc.identifierONIX_20230623_9783036578217_150
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/100918
dc.description.abstractAir 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economicsen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQK Pollution controlen_US
dc.subject.othercarbon trading
dc.subject.othergreen innovation efficiency
dc.subject.otherpropensity score matching
dc.subject.otherdifference in differences model
dc.subject.othermeteorology
dc.subject.otherWRF
dc.subject.otherair quality
dc.subject.otherAERMOD
dc.subject.othersource apportionment
dc.subject.otherenvironmental impact assessment
dc.subject.othercondensable particulate matter
dc.subject.otherair quality model
dc.subject.otherPM2.5
dc.subject.otherair pollution
dc.subject.otherparticulate matter
dc.subject.othermicroplastics
dc.subject.othernon-exhaust emissions
dc.subject.otherNORTRIP
dc.subject.otherair pollution transmission
dc.subject.otherindoor–outdoor relation
dc.subject.otherurban canyon
dc.subject.othercomputational fluid dynamics
dc.subject.otherfactors of transmission
dc.subject.othercluster analysis
dc.subject.othermeteorological influence
dc.subject.otherMultiple linear regression
dc.subject.otherNOx influence
dc.subject.otherPearson’s correlation
dc.subject.otherrural trends
dc.subject.othersurface ozone
dc.subject.othermashrabiya
dc.subject.othertotal volatile organic compounds (TVOC)
dc.subject.otherformaldehyde (HCHO)
dc.subject.otherretention period
dc.subject.otherhot desert climate
dc.subject.otheroccupational exposure
dc.subject.otherBayesian spline model
dc.subject.othertime-series
dc.subject.otherpublic transport
dc.subject.otherinhalation
dc.subject.otherair quality plans
dc.subject.otherPM2.5 episodes
dc.subject.otherair pollution policy
dc.subject.otherNO2 concentrations
dc.subject.otherdiff-in-diff-regression
dc.subject.otherurban agglomeration (UA)
dc.subject.otherregional difference
dc.subject.otherdistribution dynamics
dc.subject.otherconvergence
dc.subject.otherUtah
dc.subject.otherenvironmental history
dc.subject.othernational ambient air quality standards
dc.subject.othermachine learning
dc.subject.otheratmospheric pollution
dc.subject.otherself-organizing maps
dc.subject.otherSalvador-BA
dc.subject.otherCOVID-19
dc.subject.otherTehran
dc.subject.otherAQI
dc.subject.otherlandscape architecture
dc.subject.otherurban green space
dc.subject.otherhuman thermal comfort
dc.subject.otherspatial differentiation
dc.subject.otherevidence-based design
dc.subject.otherdispersion model
dc.subject.otherhealth risk assessment
dc.subject.otherindoor air quality
dc.subject.othercook stove
dc.subject.otherbiomass burning
dc.titleAir Quality Characterisation and Modelling
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-7820-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036578217
oapen.relation.isbn9783036578200
oapen.pages296
oapen.place.publicationBasel


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