激光与光电子学进展, 2019, 56 (24): 240101, 网络出版: 2019-11-26   

多波长气溶胶激光雷达观测北京地区持续性雾霾的典型案例 下载: 1201次

Typical Case of Multi-Wavelength Aerosol Lidar Observation of Persistent Hazy Weather in Beijing
作者单位
1 齐鲁工业大学(山东省科学院), 山东省科学院海洋仪器仪表研究所, 山东 青岛 266001
2 中国气象局气象探测中心, 北京 100081
摘要
为了解雾霾天气条件下大气气溶胶的光学特性,利用多波长气溶胶激光雷达在北京海淀气象局的观测数据,反演得到了2017年11月4日至7日持续性雾霾期间大气气溶胶的消光系数、退偏振比和雾霾高度等参数,实现了在雾霾期间对大气的实时监测。结合探空资料数据获取的气象参数,并利用拉格朗日混合单粒子轨迹模式(HYSPLIT)分析了雾霾期间气团的路径来源和走向,分析得出,相对湿度增大、风速低以及逆温层的存在是雾霾形成和持续存在的重要因素。河北一带的污染物输送导致此次北京海淀区的雾霾形成,而西北风为污染物向上扩散消失提供了条件。
Abstract
The extinction coefficient, depolarization ratio, and haze height of atmospheric aerosols during hazy weather are used to realize real-time atmospheric monitoring and study the optical characteristics of aerosols in hazy weather conditions. These characteristics are retrieved based on the observation data obtained from a multi-wavelength aerosol lidar at the Haidian Meteorological Bureau in Beijing, China, from November 4 to 7, 2017. Combining these characteristics with the meteorological parameters obtained from the sounding data, the air mass source and direction during hazy weather conditions are analyzed using the hybrid single particle Lagrangian integrated trajectory (HYSPLIT) model. The analysis concludes that increased relative humidity, low wind speeds, and the presence of an inversion layer are important factors for the formation of hazy weather conditions. The transportation of pollutants through the Hebei Province influences the formation of the haze in Beijing's Haidian District, and haze dissipation is affected by the northwest wind, which provides main conditions for the upward diffusion and disappearance of pollutants.

庄全风, 王一萌, 王章军, 陈超, 李辉, 刘军礼, 刘兴涛, 孟祥谦, 王秀芬. 多波长气溶胶激光雷达观测北京地区持续性雾霾的典型案例[J]. 激光与光电子学进展, 2019, 56(24): 240101. Quanfeng Zhuang, Yimeng Wang, Zhangjun Wang, Chao Chen, Hui Li, Junli Liu, Xingtao Liu, Xiangqian Meng, Xiufen Wang. Typical Case of Multi-Wavelength Aerosol Lidar Observation of Persistent Hazy Weather in Beijing[J]. Laser & Optoelectronics Progress, 2019, 56(24): 240101.

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