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工业排放对臭氧污染的贡献:采用臭氧生成路径追踪方法确定

The contribution of industrial emissions to ozone pollution: identified using ozone formation path tracing approach.

作者信息

Zhan Junlei, Ma Wei, Song Boying, Wang Zongcheng, Bao Xiaolei, Xie Hong-Bin, Chu Biwu, He Hong, Jiang Tao, Liu Yongchun

机构信息

Beijing, 100029 China Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology.

Shijiazhuang, 050026 China Hebei Chemical & Pharmaceutical College.

出版信息

NPJ Clim Atmos Sci. 2023;6(1):37. doi: 10.1038/s41612-023-00366-7. Epub 2023 May 16.

Abstract

Wintertime meteorological conditions are usually unfavorable for ozone (O) formation due to weak solar irradiation and low temperature. Here, we observed a prominent wintertime O pollution event in Shijiazhuang (SJZ) during the Chinese New Year (CNY) in 2021. Meteorological results found that the sudden change in the air pressure field, leading to the wind changing from northwest before CNY to southwest during CNY, promotes the accumulation of air pollutants from southwest neighbor areas of SJZ and greatly inhibits the diffusion and dilution of local pollutants. The photochemical regime of O formation is limited by volatile organic compounds (VOCs), suggesting that VOCs play an important role in O formation. With the developed O formation path tracing (OFPT) approach for O source apportionment, it has been found that highly reactive species, such as ethene, propene, toluene, and xylene, are key contributors to O production, resulting in the mean O production rate (P) during CNY being 3.7 times higher than that before and after CNY. Industrial combustion has been identified as the largest source of the P (2.6 ± 2.2 ppbv h), with the biggest increment (4.8 times) during CNY compared to the periods before and after CNY. Strict control measures in the industry should be implemented for O pollution control in SJZ. Our results also demonstrate that the OFPT approach, which accounts for the dynamic variations of atmospheric composition and meteorological conditions, is effective for O source apportionment and can also well capture the O production capacity of different sources compared with the maximum incremental reactivity (MIR) method.

摘要

由于太阳辐射较弱且温度较低,冬季的气象条件通常不利于臭氧(O)的形成。在此,我们观测到2021年春节期间石家庄(SJZ)出现了一次显著的冬季O污染事件。气象结果表明,气压场的突然变化导致风向从春节前的西北风转变为春节期间的西南风,促进了石家庄西南邻区空气污染物的积累,并极大地抑制了当地污染物的扩散和稀释。O形成的光化学机制受挥发性有机化合物(VOCs)限制,这表明VOCs在O形成中起着重要作用。利用已开发的用于O源解析的O形成路径追踪(OFPT)方法,发现乙烯、丙烯、甲苯和二甲苯等高活性物种是O生成的关键贡献者,导致春节期间的平均O生成率(P)比春节前后高出3.7倍。工业燃烧已被确定为P的最大来源(2.6±2.2 ppbv h),与春节前后相比,春节期间的增量最大(4.8倍)。石家庄应实施严格的工业控制措施以控制O污染。我们的结果还表明,考虑大气成分和气象条件动态变化的OFPT方法对于O源解析是有效的,并且与最大增量反应性(MIR)方法相比,还能很好地捕捉不同源的O生成能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fb1/10186276/f333291addcf/41612_2023_366_Fig1_HTML.jpg

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