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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/acp-2016-911
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
25 Nov 2016
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Chemistry and Physics (ACP).
Detecting critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China by using an adjoint model
Shixian Zhai1, Xingqin An2, Tianliang Zhao1, Zhaobin Sun3,4, Qing Hou2, and Chao Wang2 1Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
2State Key Laboratory of Severe Weather, Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
3Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
4Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, China Meteorological Administration, Beijing, 100089, China
Abstract. Air pollutant sources and regional transport are important issues in air quality control. The GRAPES-CUACE (Global-Regional Assimilation and Prediction System coupled with CMA Unified Atmospheric Chemistry Environment) aerosol adjoint model was applied in detecting the emission sources of a haze episode in Beijing during Nov. 19–21, 2012. Two high PM2.5 peaks were measured respectively at 05:00 and 23:00 Beijing Time on Nov. 21st 2012, which were set as the objective functions for the aerosol adjoint model. The sensitive emission regions of the first PM2.5 peak were tracked to the west and south to Beijing with 2–3 day cumulative transport of air pollutants to Beijing, while the sensitive emission regions of the second peak were mainly located at the south to Beijing, where southeasterly moist air transport lead to the hygroscopic growth of particles and pollutant convergence in front of the Tai-hang Mountains in the daytime of Nov. 21st. The temporal variations of the sensitivity coefficients for the two PM2.5 concentration peaks in Beijing revealed that the response time of Beijing haze pollution to the local emissions was about 1–2 hours and to the surrounding emissions was about 7–8 hours. The contribution of surrounding emissions accounted for 67.3 % and 61.0 % for the first and second PM2.5 pollution peaks respectively. The adjoint results were compared with the forward sensitivity simulations set of the Models-3/CMAQ system. Two modeling approches were well comparable in the assessments of atmospheric pollution control schemes for critical emission regions. The adjoint methods had higher computational efficiency than the forward sensitivity simulations.

Citation: Zhai, S., An, X., Zhao, T., Sun, Z., Hou, Q., and Wang, C.: Detecting critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China by using an adjoint model, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-911, in review, 2016.
Shixian Zhai et al.
Shixian Zhai et al.
Shixian Zhai et al.

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Short summary
The GRAPES-CUACE aerosol adjoint model was developed and applied in detecting PM2.5 sources for haze events in Eastern China (EC), the response time of Beijing PM2.5 pollution peaks to local and surrounding emissions is quantized for regional transport of air pollution over the EC. The adjoint results consisted well with the Models-3/CMAQ assessments. The adjoint method is powerful in simulating the receptor-source relationship and can be utilized in dynamic aiir quality control schemes design.
The GRAPES-CUACE aerosol adjoint model was developed and applied in detecting PM2.5 sources for...
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