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京津冀城市群冬季二次PM2.5的时空分布特征
摘要点击 3174  全文点击 2363  投稿时间:2022-05-19  修订日期:2022-07-23
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中文关键词  二次气溶胶  京津冀城市群  时空分布  光化学反应  臭氧(O3)
英文关键词  secondary aerosol  Beijing-Tianjin-Hebei urban agglomeration  temporal and spatial distribution  photochemical reaction  ozone(O3)
作者单位E-mail
姚青 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
yao.qing@163.com 
杨旭 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
 
唐颖潇 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
 
樊文雁 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
 
蔡子颖 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
 
韩素芹 天津市环境气象中心, 天津 300074
中国气象局-南开大学大气环境与健康研究联合实验室, 天津 300074 
 
中文摘要
      二次组分是造成京津冀城市群冬季PM2.5污染的重要因素.采用CO示踪法,估算2017~2021年冬季京津冀城市群二次PM2.5浓度,并分析其时空分布特征,探讨区域二次PM2.5的影响因素.结果表明,2017~2021年冬季京津冀区域PM2.5浓度下降趋势明显,河北中南部一次PM2.5下降幅度最大,二次PM2.5浓度年际波动平稳,北京和天津二次PM2.5占比明显高于其他城市.随着污染程度加剧,一次PM2.5和二次PM2.5质量浓度均有不同程度的增加,二次PM2.5占比呈显著增大趋势.与直接测量结果相比,CO示踪法获得的结果偏低,与冬季CO浓度较高,一次PM2.5浓度高估有关,选取合适的一次气溶胶基准值是改进该方法,获取合理估算值的关键.
英文摘要
      The secondary component is an important factor causing PM2.5 pollution in the Beijing-Tianjin-Hebei urban agglomeration in winter. In this study, the CO tracer method was used to estimate the secondary PM2.5 concentration of the Beijing-Tianjin-Hebei urban agglomeration in the winter of 2017-2021. The temporal and spatial distribution characteristics were analyzed, and the influencing factors of regional secondary PM2.5 were discussed. The results showed that the decreasing trend of PM2.5 concentration in the Beijing-Tianjin-Hebei Region in the winter of 2017-2021 was obvious, and the cities with the largest decline were located in the central and southern part of Hebei Province, mainly contributed by primary PM2.5. There was a good correlation between secondary PM2.5 and PM2.5 in all cities of the Beijing-Tianjin-Hebei urban agglomeration, and the proportion of secondary PM2.5 in Beijing and Tianjin was significantly higher than that in other cities. With the aggravation of pollution degree, the mass concentration of primary PM2.5 and secondary PM2.5 increased in varying degrees, and the proportion of secondary PM2.5 increased significantly. Compared with the direct measurement results, the estimated value obtained by this method was lower as a whole. The selection of appropriate primary aerosol reference value was the key to improving this method and estimating the secondary PM2.5 concentration.

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