Analysis of a heavy air pollution event in early winter in the Yangtze River Delta
ZHAI Hua, ZHU Bin, ZHAO Xue-ting, PAN Chen
Key Laboratory of Meteorological Disaster, Ministry of Education(KLME), Joint International Research Laboratory of Climate and Environment Change(ILCEC), 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 & Technology, Nanjing 210044, China
Based on the observational atmospheric data, the PM2.5 data, the GDAS data and the reanalysis data from NCEP, this study investigated a severe air pollution event happening in the Yangtze River Delta during the period from December 17 to December 28 in 2015. It was found that the low pressure at the earth surface provides favorable environment for the occurrence and development of this air pollution event, whereas the strong wind and temperature fall brought by the cold air caused the rapid decrease in the concentration of PM2.5. Moreover, the roles of thermal and mechanical factors in this pollution were analyzed. In terms of the thermal factors, the strong mid-to-low level stratification stability, together with intense ground (isothermal) inversion, was conducive to the accumulation of PM2.5 and abundant water vapor. As for the mechanical factors, weak ventilation rate and shallow boundary layer were unfavorable to the pollutant dispersion, leading to the rise in the concentration of PM2.5. In comparison, the thermal factors played a more important role in the increase in PM2.5 than the mechanical factors did. With the aids of the backward trajectory and the distributions of the pollutant emission sources, it was found that the continental air mass from the northwest, which accounted for 46% of all the air masses, had a major influence on this event. As the air mass passes the emission sources in its path, it carried the pollutants from upstream to the Yangtze River Delta. Finally, using PSCF and CWT the main sources of the pollution were found to be concentrated in Anhui, Henan, Shanxi, Shandong, as well as the Yangtze River Delta. That is to say, the air pollution in the Yangtze River Delta was contributed by long-distance transports and the local processes.
翟华, 朱彬, 赵雪婷, 潘晨. 长江三角洲初冬一次重污染天气成因分析[J]. 中国环境科学, 2018, 38(11): 4001-4009.
ZHAI Hua, ZHU Bin, ZHAO Xue-ting, PAN Chen. Analysis of a heavy air pollution event in early winter in the Yangtze River Delta. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(11): 4001-4009.
LI Jun, CHEN Hongbin, Zhanqing L I,et al. Low-Level Temperature Inversions and Their Effect on Aerosol Condensation Nuclei Concentrations under Different Large-Scale Synoptic Circulations[J]. Advances in atmospheric Sciences, 2015,32:898-908.
[18]
Zhang Yang, Ding Aijun, Mao Huiting, et al. Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the North China Plain during[J] 1980e2013. Atmospheric Environment, 2016,124:119-128.
[19]
Ye Xinxin, Song Yu, Cai Xuhui, et al. Study on the synoptic flow patterns and boundary layer process of the severe haze events over the North China Plain in January 2013[J]. Atmospheric Environment, 2016,124:129-145.
Dayan U, Erel Y, Shpund J, et al. The impact of local sources and meteorological factors on nitrogen oxide and particulate matter concentrations:A case study of the Day of Atonement in Israel[J]. Atmospheric Environment, 2011,45(19):3325-3332.
Hopke P K, Gao N, Cheng M D. Combining chemical andmeteorological data to infer source areas of airborne pollutants[J]. Chemometrics and Intelligent Laboratory Systems, 1993,19(2):187-199.
[32]
Han Y J, Kim S R, Jung J H. Long-term measurements of atmospheric PM2.5, and its chemical composition in rural Korea[J]. Journal of Atmospheric Chemistry, 2011,68(4):281-298.
[33]
Payra S, Kumar P, Verma S, et al. Potential source identification for aerosol concentrations over a site in Northwestern India[J]. Atmospheric Research, 2016,169:65-72.
Begum B A, Kim E, Jeong C H, et al. Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode[J]. Atmospheric Environment, 2005,39(20):3719-3724.
[36]
Zeng Y, Hopke P K. A study of the sources of acid precipitation in Ontario, Canada[J]. Atmospheric Environment, 1989,23(7):1499-1509.
[37]
Gao N, Cheng M D, Hopke P K. Potential source contribution function analysis and source apportionment of sulfur species measured at Rubidoux, CA during the Southern California Air Quality Study, 1987[J]. Analytica Chimica Acta, 1993,277(2):369-380.
[38]
Polissar A V, Hopke P K, Paatero P, et al. The aerosol at Barrow, Alaska:Long-term trends and source locations[J]. Atmospheric Environment, 1999,33(16):2441-2458.
[39]
Xu X, Akhtar U S. Identification of potential regional sources of atmospheric total gaseous mercury in Windsor, Ontario, Canada using hybrid receptor modeling[J]. Atmospheric Chemistry and Physics, 10,15(2010-08-03), 2010,10(15):7073-7083.
[40]
Hsu Y K, Holsen T M, Hopke P K. Comparison of hybrid receptor models to locate PCB sources in Chicago[J]. Atmospheric Environment, 2003,37(4):545-562.
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 & Physics Discussions, 2015, 15(23):34813-34869.