Studies on PM2.5 source contribution of Foshan base on air quality model
ZHAO Wen-long1,2, LI Yun-peng1, YU Yong-chang3, DENG Si-xin3, GONG Dao-cheng2, GU Ying-gang1, WANG Bo-guang1,2
1. Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China;
2. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China;
3. Foshan Environmental Monitoring Center, Foshan 528000, China
The Model-3/CMAQ chemical transport model was employed to simulate PM2.5 concentration in Foshan during November 2014. The comparison between the modelled and observed concentrations suggested a good performance for PM2.5. Sensitivity analysis was used to investigate the relative importance of local emission sources on ambient PM2.5 in Foshan and the influence of air pollution originated from surrounding areas. The results indicated that local sources dominated the ambient concentration of PM2.5 in Foshan with an average contribution of 64.9% during the whole campaign. For the pollution episodes, the impact of regional sources enhanced significantly, e.g. emissions from Guangzhou accounted for up to 36.8% of PM2.5 at Huchong and Huijingcheng, and sources from Qingyuan contributed 18.5% of PM2.5 at Yundonghai. The influences of various local sources on PM2.5 in Foshan showed distinctive differences. In the pollution episodes, local industrial emissions were estimated to contribute 54.6% of PM2.5 at Huchong while only 28.2%~30.2% for other sites. 28.9% of PM2.5 concentration at Huijingcheng was attributed to vehicle exhaust emissions. In order to improve the air quality in Foshan, effective reduction measures on local sources should be fully implemented, together with inter-cities collaboration and inter-regional prevention and control.
赵文龙, 李云鹏, 余永昌, 邓思欣, 龚道程, 古颖纲, 王伯光. 基于空气质量模型对佛山市PM2.5的来源研究[J]. 中国环境科学, 2017, 37(5): 1716-1723.
ZHAO Wen-long, LI Yun-peng, YU Yong-chang, DENG Si-xin, GONG Dao-cheng, GU Ying-gang, WANG Bo-guang. Studies on PM2.5 source contribution of Foshan base on air quality model. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(5): 1716-1723.
Buonocore J J, Dong X, Spengler J D, et al. Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants [J]. Environment International, 2014,68:200-208.
[6]
Kampa M, Castanas E. Human health effects of air pollution [J]. Environ Pollut, 2008,151(2):362-367.
[7]
Burr M J, Zhang Y. Source apportionment of fine particulate matter over the Eastern U.S. Part I: source sensitivity simulations using CMAQ with the Brute Force method [J]. Atmospheric Pollution Research, 2011,2(3):300-317.
Wu D W, Fung J C H, Yao T, et al. A study of control policy in the pearl river delta region by using the particulate matter source apportionment method [J]. Atmospheric Environment,2013, 76(SI):147-161.
[10]
Kwok R H F, Fung J C H, Lau A K H, et al. Numerical study on seasonal variations of gaseous pollutants and particulate matters in Hong Kong and pearl river delta region [J]. Journal of Geophysical Research-Atmospheres, 2010,115(D16):751-763.
Houyoux M, Vukovich J, Brandmeyer J, et al. Sparse Matrix Operator Kernel Emissions Modeling System (SMOKE): User Manual [Z]. Prepared by MCNC-North Carolina Supercomputing Center, Environmental Programs, Research Triangle Park, NC, 2000.
[19]
Skamarock W C, Klemp J B, Dudhia J, et al. A description of the Advanced Research WRF version 3 [Z]. NCAR Technical Note:NCAR/TN-475+STR, 2008.
[20]
Byun D,Schere K L.Review of the governing equations, computational algorithms, and other components of the Models-3Community Multiscale Air Quality (CMAQ) modeling system [J]. Applied Mechanics Reviews, 2006,59(2):51-77.
[21]
Otte T L, Pleim J E. The meteorology-chemistry interface processor (mcip) for the cmaq modeling system: Updates through mcipv3.4.1 [J]. Geoscientific Model Development,2010,3(1): 243-256.
[22]
Li M, Zhang Q, Kurokawa J, et al. MIX: a mosaic Asian anthropogenic emission inventory for the MICS-Asia and the HTAP projects [J]. Atmospheric Chemistry and Physics Discussions, 2015,15(23):34813-34869.
Carter W P L. Documentation of the SAPRC-99chemical mechanism for VOC reactivity assessment. Report to California Air Resources Board [R]. California:University of California, Riverside, 2000.
[25]
An X, Zhu T, Wang Z,et al. A modeling analysis of a heavy air pollution episode occurred in Beijing [J]. Atmospheric Chemistry and Physics, 2007,7(12):3103-3114.
Zheng J, Zhang L, Che W, et al. A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment [J].Atmospheric Environment,2009,43(32):5112-5122.
Liu X H, Zhang Y, Xing J, et al. Understanding of regional air pollution over China using CMAQ, part II. Process analysis and sensitivity of ozone and particulate matter to precursoremissions [J].Atmospheric Environment, 2010,44(30):3719-3727.
