Evaluating Fine-Scale Winter Nighttime PM2.5 Concentrations and Population Exposure Using SDGSAT-1 Glimmer Imagery
Year: 2024
Type: article
Abstract: A comprehensive understanding of fine particulate matter (PM2.5) distribution is vital for addressing health concerns related to deteriorating air quality. While remotely sensed nighttime light (NTL) observations have proven effective in monitoring PM2.5concentrations, their coarse resolution limits their ability to capture the fine-scale spatial variations within urban environments. To address this limitation, an improved simple spatial random forest model was employed to estimate PM2.5concentrations using SDGSAT-1 Glimmer NTL data. The resultant PM2.5concentration maps, with a resolution of 300 m, were generated for the winter of 2021 (R2= 0.81) and cover four urban agglomerations (UAs) in China. Two population-weighted indicators were utilized to assess the nighttime population exposure to PM2.5. The findings suggest that population exposure to PM2.5is highest in the Beijing-Tianjin-Hebei UA (66.84μg/m3), followed by Chengdu-Chongqing (CC) (62.66μg/m3), Yangtze River Delta (52.04μg/m3), and Guangdong-Hong Kong-Macao Greater Bay Area (33.74μg/m3). Notably, the CC UA exhibits the highest levels of exposure among children ($ \leq $5 years) and the elderly ($ \geq $65 years). These findings provide valuable insights for policymakers to prioritize pollution control strategies and measures.
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,496
OpenAlex ID: W4404577098