摘要:

Most previous studies treat regional transport of aerosols as a whole, without distinguishing the transport of secondary aerosols and that of their precursors. A new method of quantifying the transport forms of secondary inorganic aerosols (SIA) using the Nested Air Quality Prediction Modeling System was proposed. The contribution of nonlocal emissions to SIA in the receptor region was divided into three parts: (1) SIA chemically formed by nonlocal emissions in their source regions; (2) SIA chemically formed by nonlocal emissions during transport; and (3) SIA chemically formed by nonlocal emissions in the receptor region, representing transport of precursors. In the North China Plain, the transport of precursors and SIA produced during transport are the two main transport forms. Furthermore, the contribution from transport of precursors increased under polluted conditions in most cities. The results indicate that joint control of precursors is paramount for mitigating air pollution. ©2020. The Authors.

附注:

Export Date: 20 August 2020CODEN: GPRLA通讯地址: Li, J.; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesChina; 电子邮件: lijie8074@mail.iap.ac.cn基金资助详情: 2018YFC0213205, 2017YFC0212402基金资助详情: DQGG0103-04, DQGG0106基金资助详情: 41705108, 41907200, 91744203基金资助文本 1: This work is funded by the China National Key R&D Program (Grants 2018YFC0213205 and 2017YFC0212402), the National Research Program for Key Issues in Air Pollution Control (DQGG0103-04 and DQGG0106), and the National Nature Science Foundation of China (Grants 91744203, 41705108, and 41907200). We thank the anonymous reviewers for their constructive suggestions that helped improve the manuscript. Many thanks to Prof. Xu Dao's group for their support with the aerosol components observation data.