基于空气质量模式和数学规划模型的城市PM<sub>2.5</sub>达标策略——以临汾为例

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Abstract In order to further reduce PM_2.5 concentration and improve air quality, it is necessary to formulate a more scientific control strategy, while taking into account the reduction of pollutants and the cost-effectiveness of emission reduction. Based on the regional atmospheric environment model RegAEMS and mathematical planning model, this article used a multi-objective genetic algorithm to explore the optimal control strategy for urban atmospheric PM_2.5 pollution. The method was applied to the PM_2.5 concentration compliance plan of Linfen (14types of industry sources and 17regional sources), to achieve the largest pollutant emissions and dual-objective optimization with the least cost of abatement. The results showed that to achieve PM_2.5 concentration target (75 μg/m³) under heavy pollution weather conditions where the average concentration of PM_2.5 was close to 200 μg/m³, the maximum allowable emission of pollutants in Linfen was 356.7t/d, and the minimum emission reduction cost was 336million yuan. The emission reduction of NO_x、SO₂、NH₃、VOCs and primary PM are 98.1, 49.9, 44.3, 155.7 and 105.5t/d, and the emission reduction costs were 11.7, 6.8, 6.2, 5.5 and 35million yuan. The industries with the greatest potential for reducing VOCs、NO_x、PM_2.5、NH₃ and SO₂ were coking、mobile、dust、agricultural and civil combustion sources, accounting for 21.6%、14.1%、11%、8.6% and 3.8% of the emission reduction of the 5pollutants in all industries. The steel industry had the highest emission reduction cost (39%). Xiangfen had the largest emission reduction and the highest emission reduction cost(72.18million yuan).

Key words： dual-objective planning PM_2.5 control strategy genetic algorithm least-cost optimization maximum emission reduction

Received: 10 January 2021

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X513

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	YANG Dan-dan
	YANG Dan-dan
	WANG Ti-jian
	WANG Ti-jian
	LI Shu
	LI Shu
	SHU Lei
	SHU Lei
	XUE Zhi-gang
	XUE Zhi-gang
	CHAI Fa-he
	CHAI Fa-he

Cite this article:

YANG Dan-dan,YANG Dan-dan,WANG Ti-jian等. Urban PM_2.5 compliance strategy based on air quality and mathematical planning model[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(8): 3493-3501.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I8/3493

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