In order to analyze the characteristic of PM2.5 concentrations and assess the effect of the temporary control measures during the APEC meeting, the variation of PM2.5 concentration and its components before-, during- and after-APEC were analyzed and the role of meteorological conditions and pollution control measures to the improvement of air quality were explored. Then CAMx-PSAT model was used to quantitatively analyze the effect of improving the air quality of the pollution control measures for different sources in different regions. Different scenarios were defined to compare the situations between the control measures implemented or not during the APEC meeting. The results showed that the average daily PM2.5 concentration in Beijing during the APEC was lower than the National Environmental Standard Ⅱ (75μg/m3), PM2.5 pollutants were mainly emitted from the local emission sources, of which vehicle exhaust was the main pollution source, accounting for 36.1%. PM2.5 concentrations in Beijing decreased by 43.0% because of the implementation of the temporary control measures during the APEC meeting. The stringent control measures implemented in Beijing and its surrounding areas dominantly contributed for "APEC blue".
贾佳, 郭秀锐, 程水源. APEC期间北京市PM2.5特征模拟分析及污染控制措施评估[J]. 中国环境科学, 2016, 36(8): 2337-2346.
JIA-Jia, GUO Xiu-rui, CHENG Shui-yuan. Numerical study on the characteristics of PM2.5 in Beijing and the assessment of pollution control measures during APEC. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(8): 2337-2346.
Fann N, Risley D. The public health context for PM2.5 and ozone air quality trends[J]. Air Quality, Atmosphere & Health, 2013, 6(1):1-11.
[2]
Ji D, Li L, Wang Y, et al. The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation[J]. Atmospheric Environment, 2014,92: 546-556.
[3]
Zhou Y, Cheng S Y, Liu L, et al. A Coupled MM5-CMAQ Modeling System for Assessing Effects of Restriction Measures on PM10 Pollution in Olympic City of Beijing, China[J]. Journal of Environmental Informatics, 2012,19(2):120-127.
[4]
Sheng L, Lu K, Ma X, et al. The air quality of Beijing-Tianjin-Hebei regions around the Asia-Pacific Economic Cooperation (APEC) Meeting[J]. Atmospheric Pollution Research, 2015,6(6):1066-1072.
Chen Z, Zhang J, Zhang T, et al. Haze observations by simultaneous lidar and WPS in Beijing before and during APEC, 2014[J]. Science China Chemistry, 2015,9(58):1385-1392.
[8]
Huang K, Zhang X, Lin Y. The "APEC Blue" phenomenon: Regional emission control effects observed from space[J]. Atmospheric Research, 164-165(2015):65-75.
The evaluation of emission control to PM concentration during Beijing APEC in 2014[J]. Atmospheric Pollution Research (2015), http://dx.doi.org/10.1016/j.apr.2015.10.010.
[12]
Liu Y, He K B, Li S S, et al. A statistical model to evaluate the effectiveness of PM2.5 emissions control during the Beijing 2008 Olympic Games[J]. Environment International, 2012,1(44): 100-105.
Wang S X, Zhao M, Xing J, et al. Quantifying the Air Pollutants Emission Reduction during the 2008 Olympic Games in Beijing[J]. Environ. Sci. Technol., 2010,44,2490-2496.
[15]
周颖.区域大气污染源清单建立与敏感源筛选研究及示范应用[D]. 北京:北京工业大学, 2012.
[16]
Wang J, Wang S, Voorhees AS, et al., Assessment of short-term PM2.5-related mortality due to different emission sources in the Yangtze River Delta, China[J]. Atmospheric Environment, 2015, 123:440-448.
[17]
Wang L T, Wei Z, Yang J, et al. The 2013severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications[J]. Atmospheric Chemistry and Physics, 2014,14:3151-3173.
Cheng S Y, Lang J L, Zhou Y, et al. A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China[J]. Atmospheric Environment, 2013,79:308-316.
Li L, Cheng S Y, Li J B, et al. Application of MM5-CAMx-PSAT modeling approach for investigating emission source contribution to atmospheric SO2 pollution in Tangshan, Northern China[J]. Mathematical Problems in Engineering, 2013a,1-12.
Zhao X J, Jiang H, Wang L T, et al. Quantifying the source of haze pollution in southern Hebei cities using CMAQ model[J]. Acta Scientiae Cirumstantiae, 2012,32(10):2559-2567.
Wang H, Xu J, Zhang M, et al. A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern hina[J]. Atmospheric Environment, 2014,98:146-157.
[29]
Zhang R, Li Q, Zhang R. Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013[J]. Science China Earth Sciences, 2014,57(1):26-35.
[30]
贺克斌,杨复沫,段凤魁,等.大气颗粒物与区域复合污染[M]. 北京:科学出版社, 2011.
[31]
KIM K W, KIM Y J, OH S J. Visibility impairment during Yellow Sand periods in the urban atmosphere of Kwangju, Korea[J]. Atmospheric Environment, 2001,35(30):5157-5167.
[32]
Castro L M, Pio C A, Harrison R M, et al. Carbonaceous aerosol in urban and rural European atmospheres: estimation of secondary organic carbon concentrations[J]. Atmospheric Environment, 1999,33(17):2771-2781.
[33]
Yang H N, Chen J, Wen J J, et al. Composition and sources of PM2.5 around the heating periods of 2013 and 2014 in Beijing: Implication for efficient mitigation measures[J]. Atmospheric Environment, 2015:1-9.
[34]
Huang K H, Zhang X Y, Lin Y F. The "APEC Blue" phenomenon: Regional emission control effects observed from space[J]. Atmospheric Research, 2015:164-165.
Li X, Wang L, Ji D, et al. Characterization of the size-segregated water-soluble inorganic ions in the Jing-Jin-Ji urban agglomeration: Spatial/temporal variability, size distribution and sources[J]. Atmospheric Environment, 2013,77(7):250-259.
[37]
Lv B L, Zhang B, Bai Y Q, et al. A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012[J]. Atmospheric Environment, 2015,9: Available online.