Air Pollution in China

Edited by
February 2023
516 pages
  • ISBN978-3-0365-6605-4 (Hardback)
  • ISBN978-3-0365-6604-7 (PDF)

This book is a reprint of the Special Issue Air Pollution in China that was published in

Chemistry & Materials Science
Environmental & Earth Sciences

In China, serious air pollution has been apparent since the 1990s, and this is complicated due to human activities and partly due to natural factors. It is worth mentioning that local air pollution has greatly improved in the past 5 years, mainly due to the progress of institutional and technical measures since the 2010s. However, the appearance of air pollution in China is changing, as the compound pollution of photochemical pollution and aerosol pollution has been formed, and air pollution control has entered a new phase. In order to record the Chinese atmospheric environment’s development with the passage of time and to identify what we are going to face in the future, we invite papers in our latest Special Issue, “Air Pollution in China”, which will focus on air pollution trends throughout China or in each region of China over the past 30 years, the effects of countermeasures, analysis of the latest atmospheric environment, etc.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
PM2.5; PCA; backward trajectories; chemical composition; source; air pollution; China; particulate matter; precipitation scavenging; scavenging efficiency; scavenging rate; East Asian upper-level jet; atmospheric particulate matter; ozone; surface meteorological variables; statistical analysis; particulate matter; emission intensity; meteorological conditions; environmental management; Xi’an; VOCs; photochemical reactivities; ozone; SOA; air pollution; new urbanization; energy-intensive industries agglomeration; NOx emissions; intermediary effect model; transmission mechanism; PM2.5; spatio-temporal heterogeneity; socio-economic driving factors; convolution neural network; Moran’s I; LISA aggregation graph; haze; spatial autocorrelation; haze prediction; multilayer long short-term memory; PM2.5; PM10; air pollution; spatio-temporal variations; Sichuan Basin; back-trajectory; PM2.5; ozone; cluster analysis; health risk; atherogenesis; flow-mediated dilation; carotid intima-media thickness; air-pollution (PM2.5); modernizing China; atmospheric ozone pollution; spatiotemporal characteristics; precursors; influencing factors; prevention and control countermeasures; PM2.5; principal component analysis; green space; gray space; neighborhood; PM2.5; explosive growth; chemical compositions; diameter; threshold; carbon emission trading schemes; carbon price; China; difference-in-difference; market value; homogeneous charge compression ignition; surrogate diesel fuel; ignition delay; n-butanol; NOx emission; aerosol optical depth; MERRA-2; South China Sea; climate; northwest China; AQI; primary pollutant; CNEMC; Pearson correlation; CNN; MODIS; PM2.5; haze forecast; aerosol optical depth; air pollution; volatile organic compounds; Jinghong city; ozone formation potentials; source identity; health risk; COVID-19; pandemic prevention and control levels; air quality; PM2.5; O3; North China Plain; ozone; temporal and spatial distribution; pollution analysis; PM2.5; Sichuan Basin; spatial distribution; spatial disparity; synoptic patterns; meteorological conditions; coal-to-gas/electricity; air quality; PSM-DID model; Beijing–Tianjin–Hebei; size-fractionated PM; chemical characteristics; source apportionment; ground level (20 m); urban canopy (380 m); sensitive morphological parameters; PM2.5; CFD; neighborhoods; Beijing; air pollution index; diffuse fraction; sunshine duration; clearness index; air pollution; random forest; feedforward artificial neural network with back-propagation; decision tree; Ningxia; COVID-19; air pollution; lockdown; air quality zonal modeling; China; military parade; air quality; emission control and reduction measures; weather situation; Olympic Sports Center