Preprints
https://doi.org/10.5194/acp-2022-368
https://doi.org/10.5194/acp-2022-368
16 Jun 2022
 | 16 Jun 2022
Status: this preprint has been withdrawn by the authors.

Current and future prediction of inter-provincial transport of ambient PM2.5 in China

Shansi Wang, Siwei Li, Jia Xing, Yu Ding, Senlin Hu, Shuchang Liu, Yu Qin, Zhaoxin Dong, Jiaxin Dong, Ge Song, and Lechao Dong

Abstract. Regional transport is as much important as local sources that contributing to PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 can be significantly weaken (approximately by half) under SSP126 pathway, demonstrating the importance of climate change mitigation on weakening the regional transport of PM2.5 to maximize the co-benefits in both air quality and climate.

This preprint has been withdrawn.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Shansi Wang, Siwei Li, Jia Xing, Yu Ding, Senlin Hu, Shuchang Liu, Yu Qin, Zhaoxin Dong, Jiaxin Dong, Ge Song, and Lechao Dong

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-368', Anonymous Referee #1, 05 Jul 2022
  • RC2: 'Comment on acp-2022-368', Anonymous Referee #2, 20 Aug 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-368', Anonymous Referee #1, 05 Jul 2022
  • RC2: 'Comment on acp-2022-368', Anonymous Referee #2, 20 Aug 2022
Shansi Wang, Siwei Li, Jia Xing, Yu Ding, Senlin Hu, Shuchang Liu, Yu Qin, Zhaoxin Dong, Jiaxin Dong, Ge Song, and Lechao Dong
Shansi Wang, Siwei Li, Jia Xing, Yu Ding, Senlin Hu, Shuchang Liu, Yu Qin, Zhaoxin Dong, Jiaxin Dong, Ge Song, and Lechao Dong

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Latest update: 07 Oct 2024
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This preprint has been withdrawn.

Short summary
Future warming meteorological conditions may enhance the influence of regional transport on PM2.5 pollution. Our results prove that climate-friendly policy could lead to considerable co-benefits in mitigating the regional transport of PM2.5 in future. Meanwhile, climate change will exert larger impacts on across-regional (long-distance) transport than inner (neighboring provinces) regional transport, highlighting the significance of multi-regional cooperation in the future.
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