| 基于过程分析的京津冀地区气象条件变化对PM2.5浓度改善的影响 |
| 摘要点击 2326 全文点击 524 投稿时间：2023-10-30 修订日期：2024-02-05 |
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| 中文关键词 京津冀 PM2.5 WRF-CMAQ模型 气象条件 过程分析 |
| 英文关键词 Beijing-Tianjin-Hebei Region PM2.5 WRF-CMAQ model meteorological conditions process analysis |
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| 中文摘要 |
| 自2013年以来,由于大气污染防治行动计划的实施,中国空气质量得到显著改善. 气象条件的变化对空气质量改善的作用十分复杂,包括影响空气污染物的排放、输送、扩散和化学转化等过程,已有研究单纯评估气象条件影响,其影响机制不清. 基于WRF-CMAQ模型及过程分析（PA）工具,评估了2013~2020年气象要素变化对京津冀地区PM2.5浓度改善的影响,并进一步分析了气象条件对于大气污染物在传输、扩散和转化过程中的作用,为深入认识我国环境空气质量改善提供了技术支撑. 结果表明,2013~2017年气象因素使得ρ（PM2.5）降低5.4 μg·m-3,2017~2020年使ρ（PM2.5）升高11.6 μg·m-3. 2013~2017年,气溶胶化学过程、垂直传输和水平传输过程,是影响PM2.5的主要过程； 2017~2020年,主要受到气溶胶化学过程、水平传输和垂直传输影响. |
| 英文摘要 |
| The air quality has significantly improved since the implementation of the Air Pollution Prevention and Control Action Plan in 2013. The effect of meteorological conditions on air quality improvement is complex, including affecting the emission, transport, diffusion, chemical transformation, and other processes of air pollutants. Based on the WRF-CMAQ model and process analysis （PA） tool, this study evaluates the impact of meteorological factor changes on the improvement of PM2.5 concentration in the Beijing-Tianjin-Hebei Region from 2013 to 2020 and further analyzes the role of meteorological conditions on the diffusion, transport, and transformation of atmospheric pollutants. The results provided the technical support for improving air quality in China. The changed meteorological conditions resulted in the PM2.5 concentration decreasing by 5.4 μg·m-3 during the 2013-2017 period and increasing by 11.6 μg·m-3 from 2017-2020. From 2013 to 2017, aerosol chemical processes, vertical transmission, and horizontal transmission processes were the main processes affecting the PM2.5 improvement. Conversely, the change in meteorological conditions contributed little to the reduction of PM2.5 level, which is mainly affected by aerosol chemical processes, horizontal transmission, and vertical transmission. |
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