JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS05] [EE] Contributions of local and long-range transport to air pollutants in mega-cities

2017年5月25日(木) 13:45 〜 15:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:Hongliang Zhang(Louisiana State University)、Jianlin Hu(NUIST Nanjing University of Information Science and Technology)、Sri Harsha Kota(Indian Institute of Technology Guwahati)、Jia Xing(Tsinghua University)

[AAS05-P11] Investigation of relationship between air pollution formation mechanism and synoptic pattern based on three-years observations in megacity Beijing, China

*Hongfei Hao1Ting Yang1Zifa Wang1Haitao Zheng1,2 (1.LAPC,IAP,CAS、2.UCAS)

キーワード:air pollution, synoptic pattern, anticyclone, formation mechanisms

Air pollution is a severe problem in China especially in winter season for the decade years. To investigate the formation mechanisms of air pollution in winter, the relationship between air pollution and synoptic pattern was explored by employed three years (2013-2015) high resolution PM2.5 concentrations, synoptic charts, satellite images, radiosonde data, wind pattern observation, and HYSPLIT Trajectory Model in megacity Beijing, China. The results indicated that haze days (daily PM2.5 concentration > 150 μg/m3) in winter season Beijing is 36, 28 and 35 for 2013, 2014 and 2015, respectively. Consistent air pollution episodes always accompanied with the following synoptic patterns: 1) at 500 hPa, cold air forces were located in the north part and north china Plain was controlled by western wind; 2) at 850 hPa, warm advection frequently occurred above North China plain and Bohai bay, which favored stable synoptic pattern and transportations of air pollutants to Beijing; 3) On surface, Beijing was controlled by back of anticyclone, low pressure or uniform pressure situation, which accounted for 47.3%,18.2% and 34.5% of the serious haze episodes, respectively. The above results also illustrated that air pollution episodes accompanied with anticyclone arose most frequently with maximum daily PM2.5 concentration 258.8 μg/m3. The results will offer beneficial environmental implications for the air pollution forecasting.