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April 7, 2026Meteorological Applications0 citationsOpen Access

Transport Pathways of Ozone in Beijing–Tianjin–Hebei Based on Causal Networks

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ZSZhenwei SongNYNa YingZXZhigang Xue

Key Points

  • The research aims to identify and analyze the transport pathways of ozone in the Beijing-Tianjin-Hebei region to support air quality management.
  • Constructed ozone transport networks using complex network methods for different seasons.
  • Utilized backward trajectory cluster analysis and potential source contribution analysis for verification.
  • Implemented a nested air quality prediction model to assess transport patterns.
  • Ozone transport networks showed a graph density of 0.62, indicating strong interconnectivity.
  • Beijing was identified as an input city, while Handan and Xingtai served as output cities.
  • Spatial patterns revealed stronger regional transport capacity in winter compared to summer.

Abstract

ABSTRACT In recent years, the Beijing–Tianjin–Hebei (BTH) region has experienced severe ozone (O 3 ) pollution, which constrains further air quality improvement. Identifying O 3 transport pathways is essential for regional joint prevention and control. This study constructed O 3 transport networks for multi‐year, summer, and winter periods using complex network methods, enabling assessment of both direction and intensity at the station level. Reliability was confirmed through backward trajectory cluster analysis, potential source contribution analysis, and a nested air quality prediction model. Results show that O 3 transport in BTH is mainly driven by distinct regional patterns. The network exhibited a graph density of 0.62, an average path length of 1.384, and an average clustering coefficient of 0.627, indicating highly interconnected transport, especially in central and southern areas. Southern stations predominantly showed O 3 output, while northern ones were dominated by input: Beijing acted as an input city, whereas Handan and Xingtai were output (exporting) cities. High‐value input–output stations were also identified in Shijiazhuang and Tianjin, where both in‐ and out‐weighted degrees exceeded 25. Seasonally, regional transport capacity was stronger in winter than in summer. Dense linkages were observed among southern cities. In summer, O 3 in Shijiazhuang and Baoding was mainly influenced by Handan and Xingtai, while in winter, Hengshui and Cangzhou were primarily connected to surrounding cities. Verification analysis showed transport contributions of 58.64% in summer and 53.85% in winter, confirming interregional transport as a major source of O 3 pollution. Shijiazhuang was most affected by Handan and Xingtai in summer (43.72%) and by Hengshui and Cangzhou in winter (26.96%), along with long‐distance inputs from the northwest. These findings align with the identified transport pathways. Additionally, potential O 3 sources were more widely distributed in winter than in summer.

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Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/69d49f44b33cc4c35a227af9https://doi.org/10.1002/met.70154
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