Current and future prediction of inter-provincial transport of ambient PM2.5 in China,Atmospheric Chemistry and Physics

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Current and future prediction of inter-provincial transport of ambient PM2.5 in China
Atmospheric Chemistry and Physics ( IF 6.3 ) Pub Date : 2022-06-16 , DOI: 10.5194/acp-2022-368
Shansi Wang , Siwei Li , Jia Xing , Yu Ding , Senlin Hu , Shuchang Liu , Yu Qin , Zhaoxin Dong , Jiaxin Dong , Ge Song , Lechao Dong

Abstract. Regional transport is as much important as local sources that contributing to PM_2.5 pollution and causing associated environmental inequality. In the context of future climate change, the effect of the responses of regional transport to the warming meteorology has not been thoroughly investigated. Here we establish cross-province PM_2.5 source-receptor matrix in China in 2015 and two climate pathways in 2050s (SSP585 and SSP126), using Community Multi-scale Air Quality model embedded with the Integrated Source Apportionment Method. Results suggest that across-regional transport contributes 27 % - 56.8 % of PM_2.5 in five severely polluted regions, which is even more important compared to inner transport within the target region (13.2 % - 20.9 %), especially in Chuanyu and Fenwei regions where suffers large PM_2.5 transport (over 50 %) from outside regions. Such results imply that joint-control policy should not only focus on neighboring provinces. Future warming scenario (SSP585) will exacerbate PM_2.5 pollution (2 - 5 µg/m³) and also enhance its regional transport (> 3 %) mostly by modulating the across-regional transport rather than inner regional transport. Such enhancement of regional transport of PM_2.5 can be significantly weaken (approximately by half) under SSP126 pathway, demonstrating the importance of climate change mitigation on weakening the regional transport of PM_2.5 to maximize the co-benefits in both air quality and climate.

更新日期：2022-06-16

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