Simulation of the impact of the emergency control measures on the reduction of air pollutants: a case study of APEC blue
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Serious air pollution motivates governments to take control measures. However, specific emission reduction effects of various temporary emission reduction policies are difficult to evaluate. During the Asia-Pacific Economic Cooperation meeting in Beijing in 2014, the Chinese government implemented a number of emergency emission control measures in the Beijing-Tianjin-Hebei area to maintain the air quality in this region. This gave us an opportunity to quantify the effectiveness of the emission reduction measures separately and identify the efficient policy combinations for the reduction of major pollutants. In this study, we evaluated the impacts of specific emission reduction measures on the concentrations of two major air pollutants (PM2.5 and O3) under eight policy scenarios using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). Comparing these scenarios, we found that the control policies against the primary PM2.5 emission achieved the most significant results. Meanwhile, all the emission control measures raised the ozone concentrations in different degrees, which might be partly attributed to the changes of PM2.5 concentration and the ratio of NOx and VOCs caused by the emission control measures. Our results suggest that, in VOC-sensitive areas like Beijing, emergency control measures focusing on primary PM2.5 emission could lead to significant PM2.5 reduction and relatively small ozone increase, and should be considered as a priority policy. Joint emission control at the regional scale is also important especially under unfavorable meteorological conditions.
KeywordsAPEC blue Emission reduction policy WRF-Chem PM2.5 Ozone North China Plain
This work was funded by the National Natural Science Foundation of China (41571130010, 41821005, 41630748, 41571484, and 41671492). It was also funded by the National Key Research and Development Program of China (2018YFC1902701), and supported by the High-performance Computing Platform of Peking University. Funding for this study was also provided by the undergraduate student research training program of the Ministry of Education.
- Alapaty, K., Niyogi, D., Chen, F., Pyle, P., Chandrasekar, A., & Seaman, N. (2008). Development of the flux-adjusting surface data assimilation system for mesoscale models. Journal of Applied Meteorology and Climatology, 47(9), 2331–2350. https://doi.org/10.1175/2008jamc1831.1.CrossRefGoogle Scholar
- Balzarini, A., Pirovano, G., Honzak, L., Žabkar, R., Curci, G., Forkel, R., et al. (2015). WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties. Atmospheric Environment, 115, 604–619. https://doi.org/10.1016/j.atmosenv.2014.12.033.CrossRefGoogle Scholar
- BMEPB (2014). Beijing Municipal Environmental Protection Bureau (BMEPB), http://www.bjepb.gov.cn/bjhrb/xxgk/jgzn/jgsz/jjgjgszjzz/xcjyc/xwfb/607506/index.html.
- Carvalho, V. S. B., Freitas, E. D., Martins, L. D., Martins, J. A., Mazzoli, C. R., & Andrade, M. d. F. (2015). Air quality status and trends over the metropolitan area of São Paulo, Brazil as a result of emission control policies. Environmental Science & Policy, 47, 68–79. https://doi.org/10.1016/j.envsci.2014.11.001.CrossRefGoogle Scholar
- Chen, Y., Zhao, C., Zhang, Q., Deng, Z., Huang, M., & Ma, X. (2009). Aircraft study of mountain chimney effect of Beijing, China. Journal of Geophysical Research: Atmospheres, 114(D8), doi:doi: https://doi.org/10.1029/2008JD010610.
- Cheng, N., Chen, Z., Sun, F., Sun, R., Dong, X., Xie, X., et al. (2018). Ground ozone concentrations over Beijing from 2004 to 2015: variation patterns, indicative precursors and effects of emission-reduction. Environmental Pollution, 237, 262–274. https://doi.org/10.1016/j.envpol.2018.02.051.CrossRefGoogle Scholar
- Ding, A. J., Fu, C. B., Yang, X. Q., Sun, J. N., Petäjä, T., Kerminen, V. M., et al. (2013). Intense atmospheric pollution modifies weather: a case of mixed biomass burning with fossil fuel combustion pollution in eastern China. Atmospheric Chemistry and Physics, 13(20), 10545–10554. https://doi.org/10.5194/acp-13-10545-2013.CrossRefGoogle Scholar
- Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J. F., Pfister, G. G., Fillmore, D., et al. (2010). Description and evaluation of the model for ozone and related chemical tracers, version 4 (MOZART-4). Geoscientific Model Development, 3(1), 43–67. https://doi.org/10.5194/gmd-3-43-2010.CrossRefGoogle Scholar
- Fan, S. B., Tian, L. D., Zhang, D. X., & Guo, J. J. (2016). Evaluation on the effectiveness of vehicle exhaust emission control measures during the APEC conference in Beijing. Huan Jing Ke Xue, 37(1), 74–81.Google Scholar
- Gao, M., Liu, Z., Wang, Y., Lu, X., Ji, D., Wang, L., et al. (2016). Distinguishing the roles of meteorology, emission control measures, regional transport, and co-benefits of reduced aerosol feedbacks in “APEC blue”. Atmospheric Environment, 167, 476–486. https://doi.org/10.1016/j.atmosenv.2017.08.054.CrossRefGoogle Scholar
- Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., & Geron, C. (2006). Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature). Atmospheric Chemistry and Physics, 6(11), 3181–3210. https://doi.org/10.5194/acp-6-3181-2006.CrossRefGoogle Scholar
- Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., et al. (2012). The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions. Geoscientific Model Development, 5(6), 1471–1492. https://doi.org/10.5194/gmd-5-1471-2012.CrossRefGoogle Scholar
- Li, J., Xie, S. D., Zeng, L. M., Li, L. Y., Li, Y. Q., & Wu, R. R. (2015). Characterization of ambient volatile organic compounds and their sources in Beijing, before, during, and after Asia-Pacific Economic Cooperation China 2014. Atmospheric Chemistry and Physics, 15(14), 7945–7959. https://doi.org/10.5194/acp-15-7945-2015.CrossRefGoogle Scholar
- Li, M., Zhang, Q., Streets, D. G., He, K. B., Cheng, Y. F., Emmons, L. K., et al. (2014). Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms. Atmospheric Chemistry and Physics, 14(11), 5617–5638. https://doi.org/10.5194/acp-14-5617-2014.CrossRefGoogle Scholar
- Lin, X., Trainer, M., & Liu, S. C. (1988). On the nonlinearity of the tropospheric ozone production. Journal of Geophysical Research: Atmospheres, 93(D12), 15879–15888, doi:doi: https://doi.org/10.1029/JD093iD12p15879.
- Liu, F., Zhang, Q., Tong, D., Zheng, B., Li, M., Huo, H., et al. (2015a). High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010. Atmospheric Chemistry and Physics, 15(23), 13299–13317. https://doi.org/10.5194/acp-15-13299-2015.CrossRefGoogle Scholar
- Liu, H., He, J., Guo, J., Miao, Y., Yin, J., Wang, Y., et al. (2017). The blue skies in Beijing during APEC 2014: a quantitative assessment of emission control efficiency and meteorological influence. Atmospheric Environment, 167, 235–244. https://doi.org/10.1016/j.atmosenv.2017.08.032.CrossRefGoogle Scholar
- Liu, J., Xie, P., Wang, Y., Wang, Z., He, H., & Liu, W. (2015b). Haze observation and control measure evaluation in Jing-Jin-Ji (Beijing, Tianjin ,Hebei) area during the period of the Asia-Pacific Economic Cooperation (APEC) meeting. Bulletin of the Chinese Academy of Sciences, doi:10.16418/j.Google Scholar
- Pang, J., Wu, J., Ma, Z., Liang, L. N., & Zhang, T. T. (2015). Air pollution abatement effects of replacing coal with natural gas for central heating in cities of China. China Environmental Science, 35(1), 55–61.Google Scholar
- Stauffer, D. R., & Seaman, N. L. (1990). Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: experiments with synoptic-scale data. Monthly Weather Review, 118(6), 1250–1277. https://doi.org/10.1175/1520-0493(1990)118<1250:Uofdda>2.0.Co;2.CrossRefGoogle Scholar
- Wang, F., Guo, J., Wu, Y., Zhang, X., Deng, M., Li, X., et al. (2014). Satellite observed aerosol-induced variability in warm cloud properties under different meteorological conditions over eastern China. Atmospheric Environment, 84, 122–132. https://doi.org/10.1016/j.atmosenv.2013.11.018.CrossRefGoogle Scholar
- Xing, J., Wang, S. X., Jang, C., Zhu, Y., & Hao, J. M. (2011). Nonlinear response of ozone to precursor emission changes in China: a modeling study using response surface methodology. Atmospheric Chemistry and Physics 11 (10):5027-5044Google Scholar
- Zou, Y., Deng, X. J., Zhu, D., Gong, D. C., Wang, H., Li, F., et al. (2015). Characteristics of 1 year of observational data of VOCs, NOx and O3 at a suburban site in Guangzhou, China. Atmospheric Chemistry and Physics 15 (12):6625-6636Google Scholar