| 2016年1月京津冀地区大气污染特征与多尺度传输量化评估 |
| 摘要点击 2684 全文点击 729 投稿时间：2020-06-04 修订日期：2020-08-02 |
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| 中文关键词 大气污染特征 气象-空气质量模式(WRF-CAMx) PM2.5传输矩阵 PM2.5传输通量 京津冀地区 |
| 英文关键词 air pollution characteristics meteorology-air quality coupling model system (WRF-CAMx) PM2.5 transport matrix PM2.5 transport flux Beijing-Tianjin-Hebei region |
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| 中文摘要 |
| 基于大气环境监测数据和WRF-CAMx模式，分析了2016年1月京津冀城市的大气污染特征，开展了PM2.5跨界传输量化评估研究.结果表明，2016年1月京津冀地区PM2.5、PM10、SO2、NO2和CO的平均浓度分别为89.5μg·m-3、135.61μg·m-3、57.55μg·m-3、60.79μg·m-3和2.12mg·m-3，其中PM2.5污染较为严峻.研究期间，京津冀城市近地面PM2.5以本地排放为主，贡献率为45.4%~69.9%；区域传输贡献为辅，其中来自京津冀区域内和区域外的传输贡献率分别为4.8%~49.7%和4.9%~29.6%.高风速会促进本地PM2.5污染的扩散，同时位于其上风向污染较高的城市，在高风速和强下风向频率和的作用下，会进一步增强对下风向城市的区域传输贡献.北京（石家庄） PM2.5总流入、流出和净通量（t·d-1）分别为1582.96（2036.89）、-1171.09（-1879.12）和411.87（157.77），表明两城市接受外来输入影响均高于向外传输的影响.PM2.5净通量呈现显著的垂直分布特征，离地1782 m高度范围内北京和石家庄PM2.5总净通量强度范围分别是17.86~64.18 t·d-1和-2.95~134.81t·d-1，均在距地面817 m左右达到峰值，强度分别为64.18t·d-1和134.81t·d-1，而张家口和山西的净流入通量的显著增加是导致两城市PM2.5总净通量强度达到峰值的主要原因. |
| 英文摘要 |
| Based on atmospheric monitoring data and the WRF-CAMx model, this study analyzed the characteristics of air pollution and performed a quantitative assessment of PM2.5 cross-border transport in the Beijing-Tianjin-Hebei (BTH) region in January 2016. The results showed that the average concentrations of PM2.5, PM10, SO2, NO2, and CO were 89.5 μg·m-3, 135.61μg·m-3, 57.55μg·m-3, 60.79μg·m-3, and 2.12 mg·m-3, respectively, indicating severe PM2.5 pollution. During the study period, surface-level PM2.5 in each city of BTH region was dominated by local emissions, which accounted for 45.4% to 69.9%. The regional transport contribution was supplemented by transport from within and outside of the BTH region, accounting for 4.8% to 49.7% and 4.9% to 29.6%, respectively. In addition, high wind speeds promoted the diffusion of local PM2.5 pollution and cities with high upwind pollution enhance regional-scale transport to downwind cities. The total inflow, outflow, and net flux of PM2.5 in Beijing (Shijiazhuang) in January 2016 were 1582.96 t·d-1 (2036.89 t·d-1), -1171.09 t·d-1 (-1879.12 t·d-1), and 411.87 t·d-1 (157.77 t·d-1), respectively, indicating that PM2.5 inputs from surrounding cities per unit time were higher than external inputs to the surrounding cities. Furthermore, net PM2.5 flux showed notable vertical evolution; the total net flux of PM2.5 in Beijing and Shijiazhuang below 1782 m ranged from 17.86 to 64.18 t·d-1 and -2.95 to 134.81 t·d-1, respectively, and both peaked 817 m above the ground at 64.18 and 134.81 t·d-1. Moreover, a significant increase the net PM2.5 inflow flux in Zhangjiakou and Shanxi explained the observed net flux peaks in these two cities. |
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