[Spatiotemporal Distribution Characteristics of Air Pollution and Health Risks in Key Cities of China].

Based on the monitoring data of five pollutants in 168 key cities under air pollution prevention and control in China from 2015 to 2020, using the MAKESENS model and the aggregate risk index(ARI), this study quantitatively analyzed the spatial and temporal distribution characteristics of air pollution and health risks in China and the six urban agglomerations. The results showed that:① PM pollution was the most serious pollution in Chinese key cities. Only 15% of the cities' six-year average concentrations of PM reached the National Secondary Standard, followed by that of NO; 77% of the cities' six-year average concentrations of NO reached the National Secondary Standard.

Exposure and Inequality of PM Pollution to Chinese Population: A Case Study of 31 Provincial Capital Cities from 2000 to 2016.

Fine particulate matter (PM) exposure has been linked to numerous adverse health effects, with some disadvantaged subgroups bearing a disproportionate exposure burden. Few studies have been conducted to estimate the exposure and inequality of different subgroups due to a lack of adequate characterization of disparities in exposure to air pollutants in urban areas, and a mechanistic understanding of the causes of these exposure inequalities. Based on a long-term series of PM concentrations, this study analyzed the spatial and temporal characteristics of PM in 31 provincial capital cities of China from 2000 to 2016 using the coefficient of variation and trend analyses.