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唐仁茂, 李德俊, 柳草, 熊洁, 江鸿. 一次重雾霾天气成因及湿清除特征分析[J]. 气候与环境研究, 2017, 22(6): 699-707. DOI: 10.3878/j.issn.1006-9585.2017.16187
引用本文: 唐仁茂, 李德俊, 柳草, 熊洁, 江鸿. 一次重雾霾天气成因及湿清除特征分析[J]. 气候与环境研究, 2017, 22(6): 699-707. DOI: 10.3878/j.issn.1006-9585.2017.16187
Renmao TANG, Dejun LI, Cao LIU, Jie XIONG, Hong JIANG. Characteristic Analysis of a Muti-Day Pollution Event and Wet Removal of Aerosols[J]. Climatic and Environmental Research, 2017, 22(6): 699-707. DOI: 10.3878/j.issn.1006-9585.2017.16187
Citation: Renmao TANG, Dejun LI, Cao LIU, Jie XIONG, Hong JIANG. Characteristic Analysis of a Muti-Day Pollution Event and Wet Removal of Aerosols[J]. Climatic and Environmental Research, 2017, 22(6): 699-707. DOI: 10.3878/j.issn.1006-9585.2017.16187

一次重雾霾天气成因及湿清除特征分析

Characteristic Analysis of a Muti-Day Pollution Event and Wet Removal of Aerosols

  • 摘要: 为了深入了解发生在武汉地区一次重雾霾天气过程的气象条件、污染源和污染物的湿清除特征,本文利用空气质量监测资料、地面观测资料和遥感火点监测资料和实测雨滴谱资料,详细分析了这次过程。结果表明:此次持续10 d的重雾霾天气过程发生在高压天气系统和静风条件下,辐射降温形成的稳定逆温边界层结构有利于污染气溶胶的积累和雾霾的形成和发展,尤其是来自南方持续不断的湿平流使雾霾天气得以长时间持续和发展,整个雾霾天气期间能见度均小于2 km,最低能见度不足50 m。2014年11月23~24日降水过程对此类污染物有明显的清除效果,清除率最高的是颗粒物污染,NO2、SO2和CO次之,最差的是O3,通过与Scott(1982)按平均碰并系数EE=0.65)得到的清除率和雨强的关系比较,武汉地区稳定性降水对气溶胶的平均碰并系数可取0.25~0.35。

     

    Abstract: Based on an air pollution index, conventional pollution observations, surface meteorological observations and satellite remote sensing data, the relationships between air pollution, large-scale circumfluence and boundary layer meteorology associated with this event were comprehensively analyzed. Additionally, characteristics of wet removal during precipitation were investigated by Laser Precipitation Monitor data. The results showed that:1) Stable atmospheric stratification and weak winds caused by the steady and uniform high-pressure field contributed to the occurrence, development, maintainability, and reinforcement of the pollution event. The remote transport of pollutants had a significant impact on ambient air quality of Wuhan Area; 2) Wet removal of aerosols occurred during the precipitation event. For example, the washout rate of particle pollutants was the highest, following by that of NO2, SO2, and CO, and the washout rate of O3 was the smallest. By comparing the parameterization of the washout rate with the average scavenging coefficient E (Scott, 1982) and that of Wuhan, it was found the E value was around 0.25 to 0.35 in Wuhan area.

     

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