CHANGES OF SPATIAL DISPARITIES IN SATELLITE-DERIVED PM2.5 EXPOSURES OVER 2010–2019 IN CHINA
- 1School of Land Engineering, Chang’an University, Xi'an, Shaanxi, 710064, China
- 2Xi'an Key Laboratory of Territorial Spatial Information, Chang'an University, Xi'an, Shaanxi, 710064, China
- 3School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- 4Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
Keywords: PM2.5, spatiotemporal disparity, satellite remote sensing, exposure, environmental justice, air pollution, China
Abstract. Air pollution, especially fine particulate matter (PM2.5), has attracted extensive attention due to its adverse impacts on public health. Although PM2.5 pollution was significantly reduced in China over time, while little is known how the spatial disparity of PM2.5 exposure has evolved, especially from both absolute and relative perspectives. Here, we estimate the long-term PM2.5 exposures in China based on satellite observations and convolutional neural network, and characterize the spatial disparity of PM2.5 exposure using Theil index and rank-rank relationship. The result shows that both PM2.5 exposure and absolute spatial disparity were substantially reduced between 2010 and 2019. The nation-wide concentrations (Theil index) declined from 48.0µg/m3 (0.13) to 35.5µg/m3 (0.054). The inter-provincial disparities dominate the overall disparity in 2010, while the intra-provincial disparity contributed the most in 2019. However, while absolute disparities have diminished, relative disparities persist. PM2.5 exposures in the least 20th percentile polluted cities have increased over time, while exposures in other regions declined. On average, the more (less) polluted cities in 2010 were still the more (less) polluted cities in 2019 (except for the very most 2 percentile polluted cities), indicating that the population in more polluted cities still experiences more air pollution than others. Spatial pattern of relative disparity changes was also observed. Overall, understanding not only absolute spatial disparity but also relative disparity is required to help formulate targeted policies for an equitable environment, leaving nobody behind.