Effects of Anthropogenic Emissions from Different Sectors on PM2.5 Concentrations in Chinese Cities

International Journal of Environmental Research and Public Health

Yu Xing¹  Mengxin Zhao²  Feng Wang³  Hongquan Song³  Jie Yang⁴  Wenjie Wang⁴  Xinyu Liu⁴  Changhong Miao⁴  Pengfei Liu⁴ 

[1] Henan Ecological and Environmental Monitoring Center, Zhengzhou 450046, China;Institute of Technology, Technology & Media University of Henan Kaifeng, Kaifeng 475004, China;Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China;Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China;

关键词: PM_2.5 concentrations;    anthropogenic emissions;    emission sectors;    GeoDetector model;    China;   

DOI  :  10.3390/ijerph182010869

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown