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基于WRF-CMAQ的晋城市PM2.5与O3复合污染协同控制

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利用WRF-CMAQ模式对晋城市一次复合污染事件进行了模拟和源解析。通过设计49组不同比例的VOCs和NOx减排情景,并结合EKMA曲线评估其前体物的科学减排比例。结果显示工业源和交通源是晋城市VOCs和NOx的主要来源。O3污染主要由NOx控制,而PM2。5污染则主要由VOCs控制。不考虑极端减排情景,仅针对O3污染时,最佳的VOCs/NOx减排比例为1∶2;仅针对PM2。5污染时,最佳减排比例为2∶1。综合考虑PM25和O3的协同治理时,最佳前体物VOCs/NOx减排比为2∶1。
Coordinated control of PM2.5 and O3 compound pollution in Jincheng City based on the WRF-CMAQ model
This study used the WRF-CMAQ model to simulate and conduct source apportionment for a case of compound pollution in Jinzhong City.By designing 49 different scenarios of VOCs and NOx emission reductions and combining them with EKMA curves to evaluate the scientific reduction ratios of their precursors.The results revealed that industrial and traffic sources are the main contributors to VOCs and NOx in Jincheng City.O3 pollution is mainly influenced by NOx levels,whereas PM2.5 pollution is primarily controlled by VOCs.Considering non-extreme reduction scenarios,for O3 pollution control alone,the optimal VOCs/NOx reduction ratio is 1∶2;for PM2.5 pollution control alone,the optimal reduction ratio is 2∶1.When considering the coordinated control of both PM2 5 and O3 pollution,the best precursor reduction ratio of VOCs to NOx is 2∶1.

PM2.5O3collaborative controlWRF-CMAQEKMA curve

李晨、张芝娟、陈曦、叶翠平

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太原理工大学环境与生态学院,山西晋中 030600

太原理工大学大气复合污染识别与控制山西省重点实验室,山西晋中 030600

PM2.5 O3 协同控制 WRF-CMAQ EKMA曲线

2024

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
年,卷(期):2024.44(12)