2024年阳泉市大气PM2.5传输特征及潜在源区分析

    Transport characteristics and potential source regions of atmospheric PM2.5 in Yangquan city, China, 2024

    • 摘要:
      目的 探究山西省阳泉市供暖季与非供暖季大气PM2.5的传输路径和潜在源区。
      方法 收集2024年1月1日至2024年12月31日的逐小时PM2.5监测数据和全球资料同化系统气象数据, 采用后向轨迹聚类、潜在源贡献因子和浓度权重轨迹方法分析大气PM2.5污染的输送路径及潜在源区。
      结果 阳泉市2024年全年大气PM2.5M(P25, P75)为33.3(19.9, 52.2) μg/m3, 供暖季浓度高于非供暖季, 供暖季研究区域的气团传输以西北方向为主要来源, 源自蒙古国的长距离跨境传输污染贡献占比最高, 河南省中部及东部为最核心的潜在源贡献区, 非供暖季来自东北向气团占比最高; 安徽省中部加权浓度权重轨迹(weighted concentration weighted trajectory, WCWT)值最高, 为45.0~50.0 μg/m3
      结论 阳泉市供暖季和非供暖季大气PM2.5的传输来源和潜在源区不同, 应针对不同季节的主导污染源进行精准化防控。

       

      Abstract:
      Objective To investigate the transport pathways and potential source areas of atmospheric PM2.5 during the heating and non-heating periods in Yangquan city, Shanxi province.
      Methods Hourly PM2.5 monitoring data and global data assimilation system data were collected from January 1 to December 31, 2024. Backward trajectory clustering analysis, potential source contribution function analysis and concentration weighted trajectory analysis were applied to explore transportation paths and potential source regions of atmospheric PM2.5 pollution.
      Results The M (P25, P75) of atmospheric PM2.5 throughout the year was 33.3 (19.9, 52.2) μg/m3. The concentration during the heating period was higher than that during the non-heating period. During the heating period, air mass transport in the study area was predominantly from the northwest, with the long-distance cross-border transport pollution from Mongolia contributing the most, and the central and eastern parts of Henan province were the most core potential source contribution areas. During the non-heating period, air masses from the northeast accounted for the highest proportion, while the central part of Anhui Province had the highest weighted concentration weighted trajectory(WCWT) value of 45.0-50.0 μg/m3.
      Conclusion The transport sources and potential source areas of atmospheric PM2.5 in Yangquan city differ between the heating and non-heating periods. Precise prevention and control measures should be implemented targeting the dominant pollution sources in different seasons.

       

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