Guangdong Ecological Meteorological Center, Guangzhou, China.
Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou, China.
Sci Total Environ. 2018 Jun 1;625:1074-1087. doi: 10.1016/j.scitotenv.2017.12.235. Epub 2018 Jan 12.
Transport paths and vertical exchange characteristics are important factors for understanding the long-term transport, dispersion capability for haze prediction. Many previous studies revealed that the Pearl River Delta (PRD) region, one of the major polluted areas in China, is largely affected by the long-range pollution transport. However, mostly of these studies focused on the source apportionment or horizontal transport path of pollutants by using short-term data, and the vertical exchange characteristics had been rarely analyzed. In this study, using HYSPLIT model, the transport paths and the vertical exchange characteristics of haze episodes over four sub-region of Guangdong (GD) Province in southern China of dry season and wet season were analyzed by using 10years data from 2005 to 2014. Three major transport paths can be statistically summarized based on the long-term data. The haze episodes in PRD and North-GD were distinguished by the characteristics of high frequency and long duration, while the West-GD and East-GD are relatively clean. The haze over North-GD and PRD were mainly influenced by the airflows from northern path, which could bring the pollution from Jiangxi, Anhui, and also influenced by the airflows from coastal path, which could bring the pollution of eastern coastal from Zhejiang and Fujian to Guangdong, while regional transport contributions from Guangdong province and adjacent areas can also be clearly observed. The haze pollution from the identified two major transport paths were mainly transported within the mixing layer (>80% trajectories, <500m), whereas the probability of haze trajectories across mixing layer was relatively low and generally associated with much longer transport distance and higher terrain height over Western China. Combing the vertical exchange analysis, results also show that Wuyi Mountains and Nanling Mountains played a role as barrier to obstruct the haze airflows from other regions of China to the Guangdong province.
传输路径和垂直交换特征是理解长期传输和霾预测扩散能力的重要因素。许多先前的研究表明,中国主要污染地区之一的珠江三角洲(PRD)地区在很大程度上受到远程污染传输的影响。然而,这些研究大多集中在使用短期数据的污染物源分配或水平传输路径上,很少分析垂直交换特征。在这项研究中,使用 HYSPLIT 模型,分析了中国南部广东省四个子区域(干季和湿季)的霾事件的传输路径和垂直交换特征,使用了 2005 年至 2014 年的 10 年数据。基于长期数据,可以总结出三条主要的传输路径。PRD 和北广东的霾事件以高频和长时间为特征,而西广东和东广东则相对清洁。北广东和 PRD 的霾主要受北方路径气流的影响,这可能会带来来自江西、安徽的污染,也受沿海路径气流的影响,这可能会带来来自浙江和福建的东部沿海地区的污染,同时也可以明显观察到来自广东省和邻近地区的区域传输贡献。从两个主要传输路径识别出的霾污染主要在混合层内(>80%的轨迹,<500m)传输,而穿过混合层的霾轨迹的概率相对较低,通常与更远的传输距离和更高的地形高度有关,特别是在中国西部。结合垂直交换分析的结果还表明,五岭山脉和南岭山脉起到了阻挡来自中国其他地区的霾气流进入广东省的作用。