Spatial and temporal characteristics of heavy-polluted weather and potential source areas in Beijing-Tianjin-Hebei with the surrounding area in 2021

WANG Bingbing; JI Yaqin; YANG Xiawei; WANG Miao; XIAO Yang; SHI Jingwen; XU Wenju; LIN Zi

doi:10.13205/j.hjgc.202511009

Volume 43 Issue 11

Nov. 2025

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2025 > 43(11): 73-83

WANG Bingbing, JI Yaqin, YANG Xiawei, WANG Miao, XIAO Yang, SHI Jingwen, XU Wenju, LIN Zi. Spatial and temporal characteristics of heavy-polluted weather and potential source areas in Beijing-Tianjin-Hebei with the surrounding area in 2021[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(11): 73-83. doi: 10.13205/j.hjgc.202511009

Citation:

WANG Bingbing, JI Yaqin, YANG Xiawei, WANG Miao, XIAO Yang, SHI Jingwen, XU Wenju, LIN Zi. Spatial and temporal characteristics of heavy-polluted weather and potential source areas in Beijing-Tianjin-Hebei with the surrounding area in 2021[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(11): 73-83. doi: 10.13205/j.hjgc.202511009

Citation:

WANG Bingbing, JI Yaqin, YANG Xiawei, WANG Miao, XIAO Yang, SHI Jingwen, XU Wenju, LIN Zi. Spatial and temporal characteristics of heavy-polluted weather and potential source areas in Beijing-Tianjin-Hebei with the surrounding area in 2021[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(11): 73-83. doi: 10.13205/j.hjgc.202511009

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Spatial and temporal characteristics of heavy-polluted weather and potential source areas in Beijing-Tianjin-Hebei with the surrounding area in 2021

doi: 10.13205/j.hjgc.202511009

1. College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China;
2. Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China

Received Date: 2024-07-01
Accepted Date: 2024-08-21
Rev Recd Date: 2024-08-02

Available Online: 2026-01-09

Abstract

Abstract

China’s National 14th Five-Year Plan and the 2035 Vision proposes eliminating heavily polluted weather and continuously improving the environmental quality of Beijing-Tianjin-Hebei with the surrounding area （BTHSA）. The air pollutant concentration and GDAS data in BTHSA in 2021 were adopted to explore heavy pollution's spatial and temporal characteristics. Then， they were used to analyze the distribution of the airflow trajectories and the primary pollutants’ potential source during the typical heavy pollution processes. The results indicated that： in terms of temporal distribution， BTHSA had no heavy pollution days in August and September， while January and March had the largest day number. Besides， the main primary pollutants were PM_2.5，PM₁₀， and O₃ during heavy pollution days. Regarding spatial distribution， heavy pollution occurred in the entire region of BTHSA in spring and winter， and only in some areas in summer and autumn. The number of heavily polluted and severely polluted days showed significant spatial aggregation. The analysis of typical heavy pollution processes displayed that： in spring， PM₁₀ in Shijiazhuang was influenced by short-range transport from the east and long-range transport airflow trajectories from the northwest. In summer， O₃ in Taiyuan was dominated by emissions from external sources and long-distance transport from the northwest. In autumn， PM_2.5 in Hebi was due to local source emissions and short-range transport. In winter， PM_2.5 in Kaifeng mainly came from short-range transport from the east. Therefore， countermeasures were proposed including tapping the distribution characteristics and potential source areas of primary pollutants in each heavy pollution process， targeting the development of joint prevention and control measures， and coordinating the prevention and control of air pollution in key regions.

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References(44)

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