Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications

作者:Yin, Xiaohong; Huang, Zhijiong; Zheng, Junyu*; Yuan, Zibing; Zhu, Wenbo; Huang, Xiaobo; Chen, Duohong
来源:Atmospheric Research, 2017, 186: 63-71.
DOI:10.1016/j.atmosres.2016.11.007

摘要

As one of the most populous and developed provinces in China, Guangdong province (GD) has been experiencing regional haze problems. Identification of source contributions to ambient PM2.5 level is essential for developing effective control strategies. In this study, using the most up-to-date emission inventory and validated numerical model, source contributions to ambient PM2.5 from eight emission source sectors (agriculture, biogenic, dust, industry, power plant, residential, mobile and others) in GD in 2012 were quantified. Results showed that mobile sources are the dominant contributors to the ambient PM2.5 (24.0%) in the Pearl River Delta (PRD) region, the central and most developed area of GD, while industry sources are the major contributors (21.5% similar to 23.6%) to those in the Northeastern GD (NE-GD) region and the Southwestern GD (SW-GD) region. Although many industries have been encouraged to move from the central GD to peripheral areas such as NE-GD and SW-GD, their emissions still have an important impact on the PM2.5 level in the PRD. In addition, agriculture sources are responsible for 17.5% to ambient PM2.5 in GD, indicating the importance of regulations on agricultural activities, which has been largely ignored in the current air quality management. Super-regional contributions were also quantified and their contributions to the ambient PM2.(5) in GD are significant with notable seasonal differences. But they might be overestimated and further studies are needed to better quantify the transport impacts.