基于伴随模式的典型PM<sub>2.5</sub>和O<sub>3</sub>双高污染事件减排措施

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Abstract To investigate PM_2.5 and O₃ co-pollution and its effective control measures, the "source-concentration" sensitivity analysis of a typical co-pollution event in Beijing from April 19 to 25, 2019 was conducted by GRAPES-CUACE adjoint model in this paper. The contribution of local and surrounding precursor emissions to the peak concentrations of 24h average PM_2.5(24-hr PM_2.5) and MDA8O₃ in Beijing was quantitatively assessed, and corresponding emission reduction experiments were conducted using the adjoint model. The results of the adjoint sensitivity analysis indicated that the peak concentrations of 24-hr PM_2.5 and MDA8O₃ in Beijing were jointly influenced by the precursor emissions from both local and surrounding areas. The peak 24-hr PM_2.5 concentrations were mainly contributed by primary PM_2.5 (PPM_2.5) emission sources within the preceding 48h, with the largest contribution from Hebei (49.7%), followed by Shandong (24.4%) and Beijing (20.1%). The formation of O₃ was controlled by VOCs. The primary contribution periods were within the first 30h for NO_x and the first 38h for VOCs. Hebei made the largest contributions, with NO_x and VOCs contributing 27.0% and 23.8%, respectively, followed by Beijing (20.9% and 4.9%). The results of the emission reduction experiments for co-pollution event showed that when the peak 24-hr PM_2.5 concentrations in Beijing met the standard, the reduction percentages of NO_x, VOCs and PPM_2.5 were similar, with the reduction percentages for each province as follows: Hebei (55.8%, 59.1%, and 61.3%), Beijing (60.0%, 47.4%, and 60.4%), Shandong (44.0%, 51.2%, and 61.3%), Tianjin (42.7%, 42.7%, and 42.7%), and Shanxi (44.0%, 40.9%, and 42.7%). The peak MDA8O₃ concentrations initially increased and then decreased during the iterative process, and more NO_x and VOCs needed to be reduced when reaching the standard. The emission reduction percentages for local and surrounding areas were as follows: Hebei (67.8% and 67.1%), Beijing (66.0% and 56.3%), Shandong (57.3% and 59.5%), Tianjin (50.9% and 52.4%), and Shanxi (55.4% and 46.0%).

Key words： adjoint modeling PM_2.5 and O₃ co-pollution sensitivity analysis pollution control Beijing

Received: 22 May 2024

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X513

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	LIU Zhe
	AN Xing-qin
	WANG Chao
	LI Jiang-tao

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LIU Zhe,AN Xing-qin,WANG Chao等. Emission reduction measures for typical PM_2.5 and O₃ co-pollution event based on the adjoint model[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(12): 6559-6568.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I12/6559

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