Yao Sen, Zhang Han-Yu, Wang Xiao-Qi, Yang Shu-Shen
School of Energy and Environment, Zhongyuan University of Technology, Zhengzhou 450007, China.
Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Huan Jing Ke Xue. 2021 Feb 8;42(2):534-545. doi: 10.13227/j.hjkx.202006042.
Based on atmospheric monitoring data and the WRF-CAMx model, this study analyzed the characteristics of air pollution and performed a quantitative assessment of PM cross-border transport in the Beijing-Tianjin-Hebei (BTH) region in January 2016. The results showed that the average concentrations of PM, PM, SO, NO, and CO were 89.5 μg·m, 135.61μg·m, 57.55μg·m, 60.79μg·m, and 2.12 mg·m, respectively, indicating severe PM pollution. During the study period, surface-level PM 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 PM pollution and cities with high upwind pollution enhance regional-scale transport to downwind cities. The total inflow, outflow, and net flux of PM in Beijing (Shijiazhuang) in January 2016 were 1582.96 t·d (2036.89 t·d), -1171.09 t·d (-1879.12 t·d), and 411.87 t·d (157.77 t·d), respectively, indicating that PM inputs from surrounding cities per unit time were higher than external inputs to the surrounding cities. Furthermore, net PM flux showed notable vertical evolution; the total net flux of PM in Beijing and Shijiazhuang below 1782 m ranged from 17.86 to 64.18 t·d and -2.95 to 134.81 t·d, respectively, and both peaked 817 m above the ground at 64.18 and 134.81 t·d. Moreover, a significant increase the net PM inflow flux in Zhangjiakou and Shanxi explained the observed net flux peaks in these two cities.
基于大气监测数据和WRF-CAMx模型，本研究分析了2016年1月京津冀（BTH）地区的空气污染特征，并对PM的跨境传输进行了定量评估。结果表明，PM、PM、SO、NO和CO的平均浓度分别为89.5μg·m、135.61μg·m、57.55μg·m、60.79μg·m和2.12mg·m，表明存在严重的PM污染。研究期间，京津冀地区各城市的地面PM以本地排放为主，占45.4%至69.9%。区域传输贡献由京津冀地区内外的传输补充，分别占4.8%至49.7%和4.9%至29.6%。此外，高风速促进了本地PM污染的扩散，上风污染高的城市增强了向顺风城市的区域尺度传输。2016年1月北京（石家庄）PM的总流入、流出和净通量分别为1582.96t·d（2036.89t·d）、-1171.09t·d（-1879.12t·d）和411.87t·d（157.77t·d），表明单位时间内周边城市对PM的输入高于周边城市的外部输入。此外，PM净通量呈现出显著的垂直演变；北京和石家庄1782m以下PM的总净通量分别为17.86至64.18t·d和-2.95至134.81t·d，两者均在离地面817m处达到峰值，分别为64.18和134.81t·d。此外，张家口和山西PM净流入通量的显著增加解释了这两个城市观测到的净通量峰值。
