Traditional ground-based air sampling measurements of air quality have blind monitoring
areas in the junctions between provinces, cities and urban and rural areas, and they lack the …

Nitrate comprises the largest fraction of fine particulate matter in China during severe haze.
Consequently, strict control of nitrogen oxides (NO x) emissions has been regarded as an …

Machine learning (ML) plays an important role in atmospheric environment prediction,
having been widely applied in atmospheric science with significant progress in algorithms …

Recently, air pollution especially fine particulate matters (PM 2.5) and ozone (O 3) has
become a severe issue in China. In this study, we first characterized the temporal trends of …

Land use regression (LUR) models are widely applied to estimate intra-urban air pollution
concentrations. National-scale LURs typically employ predictors from multiple curated …

Environmental epidemiology studies require models of multiple exposures to adjust for co-
exposure and explore interactions. We estimated spatiotemporal exposure to surface air …

Atmospheric nitrogen dioxide (NO 2) is an important reactive gas pollutant harmful to human
health. The spatiotemporal coverage provided by traditional NO 2 monitoring methods is …

Most current scientific research on NO 2 remote sensing focuses on tropospheric NO 2
column concentrations rather than ground-level NO 2 concentrations; however, ground-level …

Background The negative effect of air pollution on human health is widely reported in recent
literature. It typically involves urbanized areas where the population is concentrated and …

The main objective of the presented study was to verify the potential of the Sentinel-5
Precursor (S-5P) Tropospheric NO2 Column Number Density (NO2 TVCD) to support air …