Impact Comparison of Synoptic Meteorology and Nationwide/local Emissions on the Seoul Metropolitan Area during High PM Multi-event and Non-event Days

Asian Journal of Atmospheric Environment

Cheol-Hee Kim¹  Jeffrey S. Owen²  Yu Woon Jang²  Il-Soo Park³  Moon-Soo Park³  Sang-Heon Kim³  Chang-Rae Cho³  Chang-Keun Song⁴  Hyeon-Kook Kim⁴ 

[1] Department of Atmospheric Sciences, Pusan National University, Busan, Republic of Korea;Department of Environmental Sciences, Hankuk University of Foreign Studies, Yongin, Republic of Korea;Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin, Republic of Korea;School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea;

关键词: seoul metropolitan area;    high pm10 multi-event days;    synoptic meteorology;    haze and smog;    nationwide/local emission;   

DOI  :  10.5572/ajae.2020.14.3.263

来源: DOAJ

【 摘 要 】

Meteorology and emissions play very important roles in the concentrations of air pollutants during severe haze/smog periods. This study compares the impacts of synoptic meteorology and nationwide/local emissions during high PM10 multi-event and non-event days in the Seoul Metropolitan Area (SMA). The multi-event and non-event cases were selected based on daily mean PM10 concentrations in Seoul from January 2014 to March 2019. The multi-event cases in spring and winter were closely associated with weak synoptic winds, while that in autumn was due to the strong winds at the rear side of a strong cold front, which induced the Asian dust event in northeastern China and Korea. The multi-event case in spring was found to be mainly due to series of migratory anticyclones, while winter case was due to the stagnant system after northerly winds. The surrounding low pressure systems as well as high pressure systems could be important to determine whether the synoptic systems would be stagnant or not. The fractional contributions of SMA emissions to the mean PM10 and PM2.5 concentrations were 24%-35% and 22%-35% for the multi-event cases, respectively. The contributions to the maximum PM10 and PM2.5 concentrations were larger than those to the mean concentrations by 16%-23% and 19%-26% for the multi-event cases, respectively.

【 授权许可】

Unknown