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首页> 外文期刊>The Science of the Total Environment >The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors
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The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors

机译：京津冀地区冬季异常污染事件特征及其与气象因子的关系

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摘要

Despite the implementation of strict air pollution control measures in recent years, severe haze events were still encountered in the Beijing-Tianjin-Hebei (Jing-Jin-Ji) region during the winter 2016. In this work, seasonal differences in correlations between air pollution and geographic terrain, atmospheric dynamical and thermal structures, and PBL height over the Jing-Jin-Ji region in history and recent years were investigated and a comprehensive model of atmospheric factors affecting winter air pollution formation was proposed. We found that the distribution of PM2.5concentration closely correlated with the topography feature of China and the difference in haze pollution intensity between winter and other seasons was the most significant in the Jing-Jin-Ji region. The “semi-enclosed” terrain along with the enhanced winter “downdraft” strongly inhibited the diffusion and convection of air pollutants in this region. Meanwhile, seasonal variations of the vertical thermal structure over the Jing-Jin-Ji region, i.e., the anomalous pattern of “upper warming and bottom cooling” structure in the middle troposphere, and the “weak wind zone” were more distinct in winter 2016 than historical record, providing an important precondition for the frequent occurrence of thermal inversion layers and severe pollution episodes in the lower troposphere. In addition, abnormally low PBL heights occurred in the Jing-Jin-Ji region during severe pollutant episodes in winter 2016, with mean postmeridian PBL height in December of only 869.4 m, the minimum value since 2013. PM2.5concentration was not only closely related to PBL height but also the “warm cover” structure in the middle troposphere. The stronger the structure was, the lower the PBL height became, and severer the pollution event was encountered, accompanying water vapor accumulation and intensification of the thermal inversion layer in the lower troposphere. All above observations revealed the mutual feedback correlations between air pollutants concentration and meteorological factors.
机译：尽管近年来实施了严格的空气污染控制措施，但北京-天津-河北（京津冀）地区在2016年冬季仍遇到严重的霾霾事件。在这项工作中，空气污染之间的相关性存在季节性差异研究了京津冀地区历史和近年来的地理地形，大气动力和热力结构以及PBL高度，并提出了影响冬季空气污染形成的大气因素综合模型。我们发现，PM2.5浓度的分布与中国的地形特征密切相关，而京津冀地区冬季和其他季节的霾污染强度差异最大。 “半封闭”地形和增强的冬季“向下气流”强烈抑制了该区域空气污染物的扩散和对流。同时，京津冀地区垂直热力结构的季节变化，即对流层中部“上暖和下冷”结构的异常模式和“弱风区”在2016年冬季更为明显。比历史记录要高，这是对流层下层热反转层频繁发生和严重污染事件的重要前提。此外，在2016年冬季的严重污染事件发生期间，京津冀地区出现了异常低的PBL高度，12月的子午后PBL平均高度仅为869.4 m，这是2013年以来的最小值。PM2.5浓度不仅密切相关PBL高度，也包括对流层中部的“暖盖”结构。结构越强，PBL高度就越低，遇到的污染事件越严重，伴随着对流层下层水汽的积聚和热转化层的强化。以上所有发现揭示了空气污染物浓度与气象因素之间的相互反馈关系。

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