2021年京津冀及周边地区重污染过程时空特征及潜在源区分析

王冰冰; 姬亚芹; 杨夏微; 王淼; 肖扬; 石婧雯; 许文举; 林孜

doi:10.13205/j.hjgc.202511009

2021年京津冀及周边地区重污染过程时空特征及潜在源区分析

doi: 10.13205/j.hjgc.202511009

1. 南开大学环境科学与工程学院, 天津 300350;
2. 天津大学温州安全(应急)研究院, 浙江温州 325000

基金项目:

天津市科技计划项目（21JCYBJC00200）

详细信息

作者简介:
王冰冰，wangbingbing822@163.com

通讯作者:
姬亚芹，jiyaqin@nankai.edu.cn

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出版历程
- 收稿日期: 2024-07-01
- 录用日期: 2024-08-21
- 修回日期: 2024-08-02
- 网络出版日期: 2026-01-09

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

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

摘要

摘要: 国家“十四五”规划和2035年远景目标提出，要基本消除重污染天气，持续改善京津冀及周边地区的环境质量。根据2021年京津冀及周边地区大气污染物浓度数据和GDAS（global data assimilation system）气象数据，探究区域重污染时空变化特征，分析典型过程中主要气流轨迹和污染物潜在来源分布。结果表明：时间分布上，1，3月重污染日数最多，8，9月无重污染日；重污染期间首要污染物以PM_2.5、PM₁₀和O₃为主。空间分布上，春、冬季在全域均发生重污染过程，夏、秋季仅局部发生；重度和严重污染天数呈空间显著聚集。典型重污染过程中，春季石家庄市PM₁₀以东部短距离输送和西北方向长距离输送为主，夏季太原市O₃以外来源排放和西北长距离输送为主，秋季鹤壁市PM_2.5以本地源排放和短距离输送为主，冬季开封市PM_2.5主要来自东部短距离输送。因此，应挖掘各重污染过程中首要污染物的分布特征和潜在源区，针对性制定联防联控措施，统筹协调重点区域内大气污染防治工作。
- 京津冀及周边地区 /
- 重污染过程 /
- 空间自相关 /
- 后向轨迹 /
- 潜在源贡献因子 /
- 浓度权重轨迹
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.
- Beijing-Tianjin-Hebei with surrounding areas /
- heavy pollution /
- spatial autocorrelation /
- backward trajectory /
- potential source contribution factor /
- concentration-weighted trajectory

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