Abstract
PM(2.5) pollution has gradually attracted people's attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM(2.5) concentrations is more complicated, but their relative individual impact on different emission sectors remains unclear. With the aid of the geographic detector model (GeoDetector), this study evaluated the impacts of anthropogenic emissions from different sectors on the PM(2.5) concentrations of major cities in China. The results indicated that the influence of anthropogenic emissions factors with different emission sectors on PM(2.5) concentrations exhibited significant changes at different spatial and temporal scales. Residential emissions were the dominant driver at the national annual scale, and the NO(X) of residential emissions explained 20% (q = 0.2) of the PM(2.5) concentrations. In addition, residential emissions played the leading role at the regional annual scale and during most of the seasons in northern China, and ammonia emissions from residents were the dominant factor. Traffic emissions play a leading role in the four seasons for MUYR and EC in southern China, MYR and NC in northern China, and on a national scale. Compared with primary particulate matter, secondary anthropogenic precursors have a more important effect on PM(2.5) concentrations at the national or regional annual scale. The results can help to strengthen our understanding of PM(2.5) pollution, improve PM(2.5) forecasting models, and formulate more precise government control policy.