The application of an adjoint model in tracking influential haze source areas of pollution episodes
WANG Chao1, AN Xing-qin1, ZHAI Shi-xian2, SUN Zhao-bin3,4
1. Institude of Atmospheric Composition, Chinese Academy of Meteorological Science, Beijing 100081, China;
2. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China;
3. Institude of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;
4. Enviromental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing 100089, China
The aerosol adjoint module of the atmospheric chemical modeling system GRAPES-CUACE (Global-Regional Assimilation and Prediction System coupled with the CMA Unified Atmospheric Chemistry Environment) was used for sensitivity analysis of a high concentration PM2.5 pollution episode (Nov. 27th~Dec. 2nd, 2015) in Beijing, showing the superiority of the adjoint model in terms of tracking influential haze source areas and sensitive emission periods. The results indicated that the PM2.5 peak concentration at the objective time point in Beijing was the combined effects of local and surrounding emissions from this air pollution episode. According to time cumulative sensitivity coefficients, local emissions played a primary role within 23hours ahead of the objective time point. In addition, local emissions had a quicker effect on the PM2.5 peak concentration with maximum hourly contribution of 9.4μg/m3around 5hours prior to the objective time point. The contribution from surrounding emissions presented a pattern of periodic fluctuation, and its three peak values of hourly sensitivity coefficients appeared around 9hours, 29hours and 43hours ahead of the objective time point, with values of 6.66, 6.24 and 1.74μg/m3, respectively. The pollutant from surrounding emissions was continuously transported to Beijing within 1~57hours ahead of the objective time point by southerly winds. It was found that the effects of different surrounding emissions on PM2.5 peak concentration varied in terms of influence time period and degree. The accumulative contribution of Beijing, Tianjin, Hebei and Shanxi emissions accounted for 31%, 9%, 56% and 4%, respectively, within 72hours ahead of the objective time point. Based on hourly sensitivity coefficients, the main contribution time periods of Tianjin, Shanxi and Hebei emissions were 1~33, 17~33 and 1~57hours prior to the objective time point, respectively. The peak values of hourly sensitivity coefficients of Tianjin and Shanxi emissions were 2.10 and 0.71μg/m3 around 9 and 27hours ahead of the objective time point, respectively. The hourly sensitivity coefficients of Hebei emissions appeared a periodic fluctuation of three peak values of 4.55, 5.31 and 1.59μg/m3, respectively.
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WANG Chao, AN Xing-qin, ZHAI Shi-xian, SUN Zhao-bin. The application of an adjoint model in tracking influential haze source areas of pollution episodes. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(4): 1283-1290.
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