The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings

被引:219
|
作者
Zhang, J. P. [1 ]
Zhu, T. [2 ]
Zhang, Q. H. [1 ]
Li, C. C. [1 ]
Shu, H. L. [1 ]
Ying, Y. [1 ]
Dai, Z. P. [3 ]
Wang, X. [1 ]
Liu, X. Y. [1 ]
Liang, A. M. [4 ]
Shen, H. X. [4 ]
Yi, B. Q. [5 ]
机构
[1] Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China
[3] Shenzhen Acad Environm Sci, Shenzhen 518001, Peoples R China
[4] CAAC, Meteorol Ctr, N China Air Traff Management Bur, Beijing 100621, Peoples R China
[5] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77845 USA
关键词
DISPERSION MODEL FLEXPART; AEROSOL-SIZE DISTRIBUTION; SELF-ORGANIZING MAPS; ATMOSPHERIC CIRCULATION; BLACK CARBON; OZONE CONCENTRATIONS; PARTICULATE MATTER; OPTICAL-PROPERTIES; CLUSTER-ANALYSIS; SULFUR-DIOXIDE;
D O I
10.5194/acp-12-5031-2012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigated the air pollution characteristics of synoptic-scale circulation in the Beijing megacity, and provided quantitative evaluation of the impacts of circulation patterns on air quality during the 2008 Beijing Summer Olympics. Nine weather circulation types (CTs) were objectively identified over the North China region during 2000-2009, using obliquely rotated T-mode principal component analysis (PCA). The resulting CTs were examined in relation to the local meteorology, regional transport pathways, and air quality parameters, respectively. The FLEXPART-WRF model was used to calculate 48-h backward plume trajectories for each CT. Each CT was characterized with distinct local meteorology and air mass origin. CT 1 (high pressure to the west with a strong pressure gradient) was characterized by a northwestern air mass origin, with the smallest local and southeasterly air mass sources, and CT 6 (high pressure to the northwest) had air mass sources mostly from the north and east. On the contrary, CTs 5, 8, and 9 (weak pressure field, high pressure to the east, and low pressure to the northwest, respectively) were characterized by southern and southeastern trajectories, which indicated a greater influence of high pollutant emission sources. In turn, poor air quality in Beijing (high loadings of PM10, BC, SO2, NO2, NOx, O-3, AOD, and low visibility) was associated with these CTs. Good air quality in Beijing was associated with CTs 1 and 6. The average visibilities (with +/- 1 Sigma) in Beijing for CTs 1 and 6 during 2000-2009 were 18.5 +/- 8.3 km and 14.3 +/- 8.5 km, respectively. In contrast, low visibility values of 6.0 +/- 3.5 km, 6.6 +/- 3.7 km, and 6.7 +/- 3.6 km were found in CTs 5, 8, and 9, respectively. The mean concentrations of PM10 for CTs 1, 6, 5, 8, and 9 during 2005-2009 were 90.3 +/- 76.3 mu g m(-3), 111.7 +/- 89.6 mu g m(-3), 173.4 +/- 105.8 mu g m(-3), 158.4 +/- 90.0 mu g m(-3), and 151.2 +/- 93.1 mu g m(-3), respectively. </br > Analysis of the relationship between circulation pattern and air quality during the emission control period suggests that CTs are the primary drivers of day-to-day variations in pollutant concentrations over Beijing and its vicinity. During the Olympics period, the frequency of CT 6 was twice that of the mean in August from 2000 to 2009. This CT had northerly transport pathways and favorable meteorological conditions (e.g. frequent precipitation) for clean air during the Olympics. Assuming that relationships between CTs and air quality parameters in the same season are fixed in different years, the relative contributions of synoptic circulation to decreases in PM10, BC, SO2, NO2, NOx, CO, and horizontal light extinction during the Olympics were estimated as 19 +/- 14%, 18 +/- 13%, 41 +/- 36%, 12 +/- 7%, 10 +/- 5%, 19 +/- 11%, and 54 +/- 25%, respectively.
引用
收藏
页码:5031 / 5053
页数:23
相关论文
共 50 条
  • [21] Atmospheric ammonia and its impacts on regional air quality over the megacity of Shanghai, China
    Shanshan Wang
    Jialiang Nan
    Chanzhen Shi
    Qingyan Fu
    Song Gao
    Dongfang Wang
    Huxiong Cui
    Alfonso Saiz-Lopez
    Bin Zhou
    Scientific Reports, 5
  • [22] Regional transport dominates air pollution events in all seasons in Beijing in 2020
    Zhang, Zhaolei
    Wang, Siyu
    Wang, Peng
    Zhu, Shengqiang
    Zhang, Hongliang
    Wang, Shuxiao
    ATMOSPHERIC ENVIRONMENT, 2024, 323
  • [23] A modeling study on regional air pollutions transport patterns over the pearl river delta in the fall season
    Wang, XM
    Tang, YH
    Carmichael, G
    MODERN PHYSICS LETTERS B, 2005, 19 (28-29): : 1735 - 1738
  • [24] The impact of periodic air pollution peaks in Beijing on air quality governance in China
    Schwabe, Julian
    Hassler, Markus
    ERDE, 2016, 147 (01): : 53 - 65
  • [25] Analysis of air quality characteristics of Beijing-Tianjin-Hebei and its surrounding air pollution transport channel cities in China
    Xiao, Cuicui
    Chang, Miao
    Guo, Peikun
    Gu, Meifeng
    Li, Yang
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2020, 87 : 213 - 227
  • [26] Impact of Road Fugitive Dust on Air Quality in Beijing, China
    Chen, DongSheng
    Cheng, ShuiYuan
    Zhou, Ying
    Guo, XiuRui
    Fan, ShouBin
    Wang, HaiYan
    ENVIRONMENTAL ENGINEERING SCIENCE, 2010, 27 (10) : 825 - 834
  • [27] Episode analysis of regional contributions to tropospheric ozone in Beijing using a regional air quality model
    Liu, Hailing
    Zhang, Meigen
    Han, Xiao
    Li, Jialin
    Chen, Lei
    ATMOSPHERIC ENVIRONMENT, 2019, 199 : 299 - 312
  • [28] THE IMPACT OF AIR TRANSPORT ON REGIONAL LABOUR MARKETS IN POLAND
    Kalinowski, Slawomir
    ARGUMENTA OECONOMICA, 2016, 37 (02): : 337 - 340
  • [29] The role of aerosol in altering North Atlantic atmospheric circulation in winter and its impact on air quality
    Pausata, F. S. R.
    Gaetani, M.
    Messori, G.
    Kloster, S.
    Dentener, F. J.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2015, 15 (04) : 1725 - 1743
  • [30] Assessing the impact of transport interventions on air quality
    Pitt, J.
    Jones, G.
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER, 2006, 159 (04) : 211 - 217