基于PM<sub>2.5</sub>来源解析的减排方案制定

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Abstract In order to quantify the relationship between variability of mass concentration of ambient PM_2.5 and the reduction in emission sources scenarios, a WRF-NAQPMS/OSAM model was used in this study to simulate the variations in mass concentration of PM_2.5 in Beijing-Tianjin-Hebei and surrounding "2+26" cities in December 2017, and various iterative emission reduction experiments were carried out for cities based on the PM_2.5 source apportionment. The results showed that reducing local emission sources in each city had the most significant effect on overall decrease in PM_2.5 concentrations. Due to the influence of chemical formation, there was a highly non-linear relationship between the emission sources and the PM_2.5 concentrations, which resulted in large uncertainties for the linear-reduction scheme. The changes in PM_2.5 concentrations caused by the emission regulation in each city were mainly composed of the contributions of primary emissions and the secondary chemical generation. A significant linear relationship was observed between the PM_2.5 concentration contributed by chemical formation and the sector source apportionment. With the reduction of emission sources, most of PM_2.5 compositions decreased during the clean periods. However, mass concentration of nitrate, secondary organic compounds, ammonium increased during the pollution periods, which indicated that selection of emission reduction species was vitally important in the iterative emission reduction experiments.

Key words： Beijing-Tianjin-Hebei Region PM_2.5 source apportionment emission inventory iterative emission reduction non-linear relationship

Received: 16 September 2020

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X513

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	XU Yun-fan
	WANG Da-wei
	XIANG Wei-ling
	WANG Zi-fa

Cite this article:

XU Yun-fan,WANG Da-wei,XIANG Wei-ling等. Emission reduction scheme based on source apportionment analysis[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(5): 2048-2055.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I5/2048

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