{"title":"Transport Pathways of Ozone in Beijing–Tianjin–Hebei Based on Causal Networks","authors":"Zhen Song, Na Ying, Zhigang Xue, Weiling Xiang, Hongli Song, Jingxu Wang, Xiangzhe Zhu","doi":"10.1002/met.70154","DOIUrl":null,"url":null,"abstract":"<p>In recent years, the Beijing–Tianjin–Hebei (BTH) region has experienced severe ozone (O<sub>3</sub>) pollution, which constrains further air quality improvement. Identifying O<sub>3</sub> transport pathways is essential for regional joint prevention and control. This study constructed O<sub>3</sub> 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<sub>3</sub> 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<sub>3</sub> 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<sub>3</sub> 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<sub>3</sub> 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<sub>3</sub> sources were more widely distributed in winter than in summer.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":"33 2","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/met.70154","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meteorological Applications","FirstCategoryId":"89","ListUrlMain":"https://rmets.onlinelibrary.wiley.com/doi/10.1002/met.70154","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, the Beijing–Tianjin–Hebei (BTH) region has experienced severe ozone (O3) pollution, which constrains further air quality improvement. Identifying O3 transport pathways is essential for regional joint prevention and control. This study constructed O3 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 O3 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 O3 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, O3 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 O3 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 O3 sources were more widely distributed in winter than in summer.
期刊介绍:
The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including:
applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits;
forecasting, warning and service delivery techniques and methods;
weather hazards, their analysis and prediction;
performance, verification and value of numerical models and forecasting services;
practical applications of ocean and climate models;
education and training.