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Air pollution (e.g., PM2.5) has a negative effect on human health. Recently,the population-weighted annual mean PM2.5 concentration (PWAM) has beenselected as an indicator 11.6.2 in Sustainable Development Goals (SDGs), forvarious countries to perfrom a long-term monitoring of population exposure toPM2.5 in cities. However, few studies have employed this indicator for acity-level analysis and also in a long-time series (e.g., for decades). To fillthis research gap, this study investigates the long-term (2000-2020) variationof population exposure to PM2.5 in Eastern China (including 318prefecture-level cities). Three categories of open geospatial data (includinghigh-resolution and long-term PM2.5 and population data, and administrativeboundary data of cities) are involved for analysis. We found that: 1) Aconsiderable decrease has been observed for the PWAM during 2014-2020. 2) In2020, the PWAM is for the first time lower than the interim target-1 (35{\mu}g/m3) defined by the World Health Organization for 214 prefecture-levelcities in Eastern China, which accounts for 67% of the total population. Theresults indicates a considerable improvement of air quality in Eastern China.More important, this study illustrates the feasibility of using open geospatialdata to monitor the SDG indicator 11.6.2.

Long-term variation of population exposure to PM2.5 in Eastern China: A perspective from SDG 11.6.2