Impact of boundary-layer anticyclonic weather system on regional air quality

被引:53
|
作者
Wei, Peng [2 ]
Cheng, Shuiyuan [2 ]
Li, Jianbing [1 ]
Su, Fuqing [3 ]
机构
[1] Univ No British Columbia, Environm Engn Program, Prince George, BC V2N 4Z9, Canada
[2] Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100022, Peoples R China
[3] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
关键词
Air pollution; Anticyclone; FLEXPART model; PM10; WRF model; OZONE CONCENTRATIONS; TRANSPORT; POLLUTION; PATTERNS; CHINA; CLIMATOLOGY; DISPERSION;
D O I
10.1016/j.atmosenv.2011.01.045
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on a Lagrangian particle dispersion model FLEXPART 3-D in conjunction with a Weather Research and Forecasting (WRF) model, this study analyzed the synoptic patterns of the three sections (i.e. front, center, and rear) of a slow-moving anticyclonic weather system that took place during April 22-30, 2002 in northern China. The impacts of anticyclone on regional air quality were also revealed through simulating the transport trajectories of PM10 particles in the anticyclone. The findings indicate that PM10 pollutant transport process within the anticyclone showed the following characteristics: (a) the frontal pressure field played a strong role in removing pollutants from a high concentration zone located before the front, (b) the central part of anticyclone with an evident isobaric pressure field tended to create a pollutant accumulation process, and (c) the rear of the anticyclone system with a southerly warmer advection in the pressure gradient zone formed a stable channel for transporting pollutants. By using air pressure data and PM10 concentration measurements, the quantitative relationship between pressure variability and PK variation in different sections of the anticyclone was established. A linear relationship was assumed between PM10 variation per unit area in the mixing layer and pressure variation within a time interval, and different sections of the anticyclone were associated with different linear regression equations. A parameter called PM10 variation rate was then put forward, which could be easily applied for regional air pollution control and management. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2453 / 2463
页数:11
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