Unraveling decadal changes in PM2.5 sources and secondary aerosol formation drivers using integrated receptor model and machine learning.
Long-term evaluation of PM2.5 sources and elucidation of the formation mechanisms of secondary aerosols are essential for developing targeted and effective air pollution control strategies under the evolving atmospheric environment. This study conducted PM2.5 sampling and chemical analysis from 2014 to 2024 in Shenzhen...