京津冀煤改电对PM<sub>2.5</sub>浓度的影响

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Abstract Based on the Weather Research and Forecasting Model with Chemistry(WRF-Chem) model and combined with the meteorological parameters, the variation of PM_2.5 emission before and after the implementation of the coal-to-electricity policy during the heating period(November 2018 to March 2019) over the BTH region was simulated and analyzed from the aspects of the PM_2.5 concentration reduction and its spatial-temporal variation characteristic. The WRF-Chem model well stimulated the variation of PM_2.5 concentration over the BTH region, and the correlation coefficient between simulated values and observed values in Beijing,Tianjin and Shijiazhuang were 0.66, 0.66 and 0.52, respectively, showing a good correlation. The implementation of the coal-to-electricity policy had an obvious effect on the reduction of PM_2.5 concentration in key areas over the BTH region. The average daily mean reduction of PM_2.5 was 0.2~6.1μg/m³, and the average reduction ratio was 1.2%~7.8%. The variation of the PM_2.5 hourly mean concentration showed that the average reduction of PM_2.5 in December 2018 was 0.4~8.3μg/m³, and the average reduction ratio was 2.3%~7.7%. Particularly, the emission reduction in Daxing District of Beijing reached 8.3μg/m³, while the reduction ratio in Tianjin area reached 7.7%. Under special meteorological conditions, the scope of the coal-to-electricity policy over the BTH region could spread to Shandong, Jiangsu, Henan and the western of Shanxi, and the maximum hourly mean reduction of PM_2.5 was more than 50μg/m³.

Key words： WRF-Chem PM_2.5 coal-to-electricity numerical simulation

Received: 16 July 2021

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X513

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	ZHANG Ru-ting
	CHEN Chuan-min
	WU Hua-cheng
	ZHOU Wei-qing
	LI Peng

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ZHANG Ru-ting,CHEN Chuan-min,WU Hua-cheng等. Impact of the coal-to-electricity policy on PM_2.5 concentration in Beijing-Tianjin-Hebei region[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(3): 1022-1031.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I3/1022

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