基于电力数据优化大气污染物排放清单

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Abstract In order to improve the spatial and temporal resolution of the air pollutant emission inventory in the industrial sector, the method of optimizing the time and spatial distribution in the industrial sector based on the electricity consumption data was proposed, and taken Tangshan city, Hebei province as an example, the basic emission inventory and the optimized emission inventory were input into the WRF-CMAQ model to verify its optimization effect. The results showed that the WRF-CMAQ model well simulated the temporal variation and spatial distribution of pollutant concentrations in Tangshan in January, April, July and October 2019. Compared with the basic emission inventory, the correlation between the annual average simulation value and the monitoring value of PM_2.5 in the optimized emission inventory increased by 3.3%, with the best improvement effect on NO₂. The improvement effect was the most obvious in October, with the DR² of PM_2.5, PM₁₀ and CO exceeded 1.4. The change of PM_2.5 concentration in the optimized emission inventory had more obvious regional characteristics, with high value areas of difference appeared in some areas, such as Qianxi county and Zunhua city. The optimized emission inventory improved the accuracy of spatial simulation to a certain extent, and can better reflect the changes of pollutant emissions in the industrial sector.

Key words： electricity consumption data industrial sector emission inventory temporal profile WRF-CMAQ

Received: 28 November 2022

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	Articles by authors
	ZHOU Wei-qing
	LI Peng
	WU Hua-cheng
	HE Xue-juan
	SUN Shi-da
	BO Yu
	HE Ke-bin

Cite this article:

ZHOU Wei-qing,LI Peng,WU Hua-cheng等. Research on optimizing air pollutant emission inventory based on electricity consumption data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(7): 3350-3359.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I7/3350

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