An Integrated MM5-CAMx Modeling Approach for Assessing PM10 Contribution from Different Sources in Beijing, China

被引:33
作者
Huang, Q. [1 ]
Cheng, S. Y. [1 ]
Li, Y. P. [2 ]
Li, J. B. [3 ]
Chen, D. S. [1 ]
Wang, H. Y. [1 ]
机构
[1] Beijing Univ Technol, Coll Environm & Energy Engn, Beijing 100022, Peoples R China
[2] N China Elect Power Univ, Res Acad Energy & Environm Studies, Beijing 102206, Peoples R China
[3] Univ No British Columbia, Environm Engn Program, Prince George, BC V2N 4Z9, Canada
关键词
air quality; CAMx; MM5; PM10; PSAT; SOUTHEASTERN UNITED-STATES; SURFACE-HYDROLOGY MODEL; AIR-QUALITY; SOURCE APPORTIONMENT; PARTICULATE MATTER; METROPOLITAN REGION; SENSITIVITY; SYSTEM; MM5; DISPERSION;
D O I
10.3808/jei.201000166
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, a coupled MM5-CAMx air quality modeling system is proposed for simulating the PM10 (which stands for the suspended particulate matter less than 10 mu m in diameter) concentration in Beijing, China. The PSAT (particulate matter source apportionment technology) technique is used to investigate the PM10 source apportionment in this area. The results indicate that the influence from regions outside of Beijing including Hebei province, Shanxi province, Tianjin city, and Inner Mongolia cannot be ignored, and the total emission source contribution ratio (ESCR) from these regions is 26.65%. Emissions from four local industries in Beijing including stationary emission source, road dust emission source, construction sites dust emission source, and fugitive industrial emission source, which has an ESCR of 59.59%, are main local contributors of PM10. Further analysis shows that these four industry emissions located in the urban area of Beijing are main contribution sources of PM10 pollution in Beijing, with an ESCR of 51.67%. The results obtained can provide useful information for Beijing's PM10-emission control and abatement. They can also be used for further pollution-mitigation plans establishment and providing a solid support for sound air quality management.
引用
收藏
页码:47 / 61
页数:15
相关论文
共 38 条
[31]   Development and application of a computationally efficient particulate matter apportionment algorithm in a three-dimensional chemical transport model [J].
Wagstrom, Kristina M. ;
Pandis, Spyros N. ;
Yarwood, Greg ;
Wilson, Gary M. ;
Morris, Ralph E. .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (22) :5650-5659
[32]   Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China [J].
Wang Hailin ;
Zhuang Yahui ;
Wang Ying ;
Sun Yele ;
Yuan Hui ;
Zhuang Guoshun ;
Hao Zhengping .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2008, 20 (11) :1323-1327
[33]   Characterization of on-road vehicle emission factors and microenvironmental air quality in Beijing, China [J].
Westerdahl, Dane ;
Wang, Xing ;
Pan, Xiaochuan ;
Zhang, K. Max .
ATMOSPHERIC ENVIRONMENT, 2009, 43 (03) :697-705
[34]  
Yarwood G., 2005, DEV CAMX PARTICULATE
[35]   Modeling weekday to weekend changes in emissions and ozone in the Los Angeles basin for 1997 and 2010 [J].
Yarwood, Greg ;
Grant, John ;
Koo, Bonyoung ;
Dunker, Alan M. .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (16) :3765-3779
[36]   Applications of Simulation-Optimization Methods in Environmental Policy Planning Under Uncertainty [J].
Yeomans, J. S. .
JOURNAL OF ENVIRONMENTAL INFORMATICS, 2008, 12 (02) :174-186
[37]   Regional contributions to airborne particulate matter in central California during a severe pollution episode [J].
Ying, Qi ;
Kleeman, Michael .
ATMOSPHERIC ENVIRONMENT, 2009, 43 (06) :1218-1228
[38]   Estimating population exposure to power plant emissions using CALPUFF: a case study in Beijing, China [J].
Zhou, Y ;
Levy, JI ;
Hammitt, JK ;
Evans, JS .
ATMOSPHERIC ENVIRONMENT, 2003, 37 (06) :815-826