Modeling study on the comparison of the impacts of two kinds of pollution source in a haze episode occurred over the Yangtze River Delta during late January, 2015
HE Yao1, ZHU Bin1, LI Feng2, KANG Han-qing1, GAO Jin-hui1
1. Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Zhuji Meteorological Administration, Zhuji 311800, China
A haze episode, which occurred over Yangtze River Delta (YRD) from 21 January to 24 January, 2013, was investigated using the WRF-CMAQ model system. The temporal and spatial distribution characteristics and regional transport process of fine particulate matter (PM2.5) were discussed. In addition, the contribution of local accumulation and long-range transport to this haze episode were also analyzed. Results showed that the WRF-CMAQ model could reproduce the temporal and spatial distributions and evolution features of PM2.5. On 21 st, the YRD was in northerly winds prevailed at the ground level, which led to short-term northern input-base pollution. Horizontal flux at the ground level during short-term pollution was larger than that during local accumulation pollution. There was a vertical transport in boundary layer. During 22 nd to 24 st, small wind at surface and temperature inversion led to the local accumulation of pollution. The major source processes in sequence during short-term pollution are local source emission (35.04%), horizontal advection (27.07%), aerosol chemical process (20.91%) and vertical advection (14.07%). Those during local accumulation pollution are local source emission (50.93%), aerosol chemical process (27.05%), vertical advection (17.47%) and horizontal advection (0.34%). The contribution rates of horizontal advection, source emission and aerosol chemical process changed obviously.
贺瑶, 朱彬, 李锋, 康汉青, 高晋徽. 长江三角洲地区PM2.5两种污染来源对比分析[J]. 中国环境科学, 2017, 37(4): 1213-1222.
HE Yao, ZHU Bin, LI Feng, KANG Han-qing, GAO Jin-hui. Modeling study on the comparison of the impacts of two kinds of pollution source in a haze episode occurred over the Yangtze River Delta during late January, 2015. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(4): 1213-1222.
Harmelen T V, Bakker J. Long-term reductions in costs of controlling regional air pollution in Europe due to climate policy[J]. Environmental Science & Policy, 2002,5(4):349-365.
[6]
Chan C K, Yao X. Air pollution in mega cities in China[J]. Atmospheric Environment, 2008,42(1):1-42.
Wu D, 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(76):147-161.
[13]
Kim C H, Park S Y, Kim Y J, et al. A numerical study on indicators of long-range transport potential for anthropogenic particulate matters over northeast Asia[J]. Atmospheric Environment, 2012,58(4):35-44.
Zhang L, Wang T, Lv M, et al. On the severe haze in Beijing during January 2013:Unraveling the effects of meteorological anomalies with WRF-Chem[J]. Atmospheric Environment, 2015,104:11-21.
[21]
Fu X, Cheng Z, Wang S, et al. Local and Regional Contributions to Fine Particle Pollution in Winter of the Yangtze River Delta, China[J]. Aerosol & Air Quality Research, 2016,16:1067-1080.
[22]
Xu J, Yan F, Xie Y, et al. Impact of meteorological conditions on a nine-day particulate matter pollution event observed in December 2013,Shanghai, China[J]. Particuology, 2015,20:69-79.
Davis R E, Kalkstein L S. Using a spatial synoptic climatological classification to assess changes in atmospheric pollution concentrations[J]. Physical Geography, 1990,11(4):320-342.
[29]
Byun D W, Ching J K S. Science Algorithms of the EPA Models-3Community Multiscale Air Quality (CMAQ) Modeling System[J]. Environmental Protection Agency Office of Research & Development, 1999.
[30]
Wu Q Z, Wang Z F, Gbaguidi A, et al. A numerical study of contributions to air pollution in Beijing during CAREBeijing- 2006[J]. Atmospheric Chemistry & Physics, 2011,11(12):5997- 6011.
[31]
Draxler R R, Hess G D. An overview of the HYSPLIT_4modeling system of trajectories, dispersion, and deposition[J]. Australian Meteorological Magazine, 1998,47(4):295-308.
