Zongwei Ma

TL;DR: A comprehensive assessment of soil heavy metal pollution derived from mines in China is provided, while identifying policy recommendations for pollution mitigation and environmental management of these mines.

TL;DR: Li et al. as discussed by the authors developed a two-stage spatial statistical model using the MODIS Collection 6 aerosol optical depth (AOD) and assimilated meteorology, land use data, and PM2.5 concentrations from China's recently established ground monitoring network.

TL;DR: A national-scale geographically weighted regression model was developed to estimate daily PM2.5 concentrations in China with fused satellite AOD as the primary predictor and confirmed satellite-derived AOD in conjunction with meteorological fields and land use information can be successfully applied to extend the ground PM 2.5 monitoring network in China.

TL;DR: It is recommended that priority areas for future national air pollution control policies be adjusted to better reflect the spatial hotspots of health burdens, and satellite-based exposure and health impact assessments can be a useful tool for tracking progress on both air quality and population health burden reductions.

TL;DR: The results show that heavy metal pollution may pose high potential health risks to local residents, especially in the village closest to the mine (V1), mainly due to Pb, Cd and Hg.