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暴雨灾害  2020, Vol. 39 Issue (3): 259-268    DOI: 10.3969/j.issn.1004-9045.2020.03.006
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漯河一次持续性重污染过程成因及传输特征分析
武威1,2, 顾佳佳1,2, 鲍玉辉1,2
1. 河南省漯河市气象局, 漯河 462300;
2. 河南省漯河市雾霾监测预警工程技术研究中心, 漯河 462300
Analysis of causes and transport characteristic of a continuous heavy pollution weather event in Luohe
WU Wei1,2, GU Jiajia1,2, BAO Yuhui1,2
1. Luohe Meteorological Office of Henan Province, Luohe 462300;
2. Luohe monitoring and early warning engineering for fog-haze technology research center in Henan, Luohe 462300
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摘要 利用常规气象资料、颗粒物观测数据、NCEP 1°×1°分析资料、GDAS 1°×1°数据、激光雷达资料等,对2018年11月下旬河南漯河一次连续重污染天气过程成因与污染物传输特征进行了分析。结果表明:(1)本次污染与天气形势关系密切,前期受静稳纬向环流和地面均压场影响,有利污染积累;中期高空槽与地面变性高压引导弱冷空气东移南下,产生滞留效应,污染物迅速增加;后期因低层东路冷空气扩散与静稳形势恢复,污染继续积累增长,形成连续性重污染。(2)PM2.5造成重污染时因辐射逆温持续稳定,导致污染加剧;PM10重污染时因逆温层减弱消失,有利污染物输送沉降;混合重污染时因近地层湍流混合加强形成逆温,污染持续发展。(3)本次重污染天气主要有5条传输路径,西南路径和偏东路径污染比例较高,其轨迹短,高度在900 hPa以下,对PM2.5近距离输送作用明显;西北路径和偏北路轨迹长,起始高度在700-600 hPa之间,高空中远距离输送以PM10为主。(4)受静稳条件和近地层高湿影响,高消光带维持在600 m以下,较低边界层抑制垂直扩散,导致污染细颗粒物与沙尘积累并长时间共存。(5)本次重污染是本地污染累积和高空外源污染输送共同影响。除漯河本地污染贡献较高外,高潜在源区主要集中河南西南部、东北部以及与山东交界处,这也是本次持续性污染发展的重要原因。(6)重污染时地面偏北风占主导,其他方向风速较小,有利形成污染辐合以及污染物二次转化并加剧污染。
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作者相关文章
武威
顾佳佳
鲍玉辉
关键词持续性污染   输送路径   潜在源区   轨迹聚类分析   逆温层     
Abstract: Using conventional meteorological observations, particulate matter observation data, NCEP reanalysis with 1°×1° resolution, GDAS data with 1°×1° resolution, lidar measurements and other data, we have investigated the cause and transport characteristics related to a continuous heavy pollution weather event occurred in Luohe of Henan Province in late November 2018. The main results are as follow. (1) This pollution event is closely related to synoptic situation. In its early stage it was influenced by the stable zonal circulation and surface uniform pressure field, which was beneficial to the accumulation of pollutant. In its middle stage, the weak cold air moved eastward and southward under the control of the upper-level trough and surface transported high, causing the fast increase of pollutants because of detention effect. In its late stage, with the diffusion of low-level easterly cold air and the restore of stable situation, the pollutants continued to accumulate, which led to the continuous heavy pollution. (2) During the heavy pollution caused by PM2.5, the pollution was exacerbated due to the stability and continuance of radiation inversion. During the heavy pollution caused by PM10, the inversion layer disappeared, which was conducive to the transport and deposition of pollutants. During the heavy pollution caused by PM2.5 and PM10, the turbulence near the ground strengthened and formed inversion, resulting in the continuance pollution. (3) There are 5 major transport paths in this event. The pollution from the southwest and easterly paths has a high proportion, whose length is short and height is below 900 hPa. Both the two paths play a significant role in the short distance transport of PM2.5. The pollution from the northwest and northerly paths has a great length, whose initial altitude is between 700 hPa and 600 hPa, showing that the long distance transportation in the upper-level is mainly PM10. (4) Affected by stable conditions and high humidity in the surface layer, the high extinction zones maintain below 600 m, and the shallow boundary layer inhibits vertical diffusion, leading to the accumulation and long time coexisting of fine aerosol particles and dust. (5) This heavy pollution event is the result of the combined influence of local pollution accumulation and upper-level transport. Besides the high contribution of local pollution in Luohe, the high potential source areas are mainly concentrated in the southwest and northeast parts of Henan and the junction of Henan and Shandong, which is an important reason for the development of continuous pollution. During the heavy pollution, the surface northerly winds dominate, while the wind speed of other wind directions is small, which is conducive to the convergence and secondary conversion of pollutants and the pollution aggravating.
Key wordscontinuous pollution   transport path   potential sources   trajectory clustering analysis   inversion layer   
收稿日期: 2019-10-18;
基金资助:河南省气象局预报员专项(KY201932);国家重点研发计划(2017YFC0212402);漯河市气象局环境气象科技创新团队;河南省气象局环境气象创新团队
作者简介: 武威,主要从事短期和短临天气预报。E-mail:ww-0824@163.com
引用本文:   
武威, 顾佳佳, 鲍玉辉 .2020. 漯河一次持续性重污染过程成因及传输特征分析[J]. 暴雨灾害, 39(3): 259-268.
WU Wei, GU Jiajia, BAO Yuhui .2020. Analysis of causes and transport characteristic of a continuous heavy pollution weather event in Luohe[J]. Torrential Rain and Disasters, 39(3): 259-268.
 
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