Suppr超能文献

基于每小时有机示踪物的中国上海郊区新冠疫情封锁前后细颗粒物源解析:区域传输影响及对城市排放减少的响应洞察

Hourly organic tracers-based source apportionment of PM before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions.

作者信息

Wang Shan, Wang Qiongqiong, Zhu Shuhui, Zhou Min, Qiao Liping, Huang Dandan, Ma Yingge, Lu Yiqun, Huang Cheng, Fu Qingyan, Duan Yusen, Yu Jian Zhen

机构信息

Division of Environment & Sustainability, The Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.

Department of Chemistry, The Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.

出版信息

Atmos Environ (1994). 2022 Nov 15;289:119308. doi: 10.1016/j.atmosenv.2022.119308. Epub 2022 Aug 8.

Abstract

During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM major components and organic molecular markers in a suburban location in Shanghai, China before lockdown (Dec. 28, 2019 to Jan. 23, 2020) and during lockdown (Jan. 24 to Feb. 9, 2020). The NO levels declined sharply by 59% from 44 to 18 ppb during the lockdown, while O rose two times higher to 42 ppb. The PM level dropped from 64 to 49 μg m (-24%). The major components all showed reductions, with the reduction of nitrate most prominent at -58%, followed by organics at -19%, and sulfate at -17%. Positive matrix factorization analysis identifies fourteen source factors, including nine primary sources and five secondary sources. The secondary sources consist of sulfate-rich factor, nitrate-rich factor, and three secondary organic aerosol (SOA) factors, with SOA_I being anthropogenic SOA, SOA_II associated with later generation products of organic oxidation, and SOA_III being biogenic SOA. The combined secondary sources contributed to 69% and 63% (40 and 22 μg m) of PM before and during lockdown, respectively, among which the reductions in the nitrate-rich (-55%) factor was the most prominent. Among primary sources, large reductions (>80%) were observed in contributions from industrial, cooking, and vehicle emissions. Unlike some studies reporting that the restriction during the Covid-19 resulted in enhanced secondary sulfate and SOA formation, we observed decreases in both secondary inorganic and SOA formation despite the overall elevated oxidizing capacity in the suburban site. Our results indicate that the formation change in secondary inorganic and organic compounds in response to substantial reductions in urban primary precursors are different for urban and suburban environments.

摘要

在新冠疫情爆发期间,严格的封锁措施导致与交通相关的排放显著减少,并显著改变了城市和郊区的大气污染特征。在这项工作中,我们比较了中国上海一个郊区在封锁前(2019年12月28日至2020年1月23日)和封锁期间(2020年1月24日至2月9日)对PM主要成分和有机分子标志物的综合在线测量结果。封锁期间,NO水平从44 ppb急剧下降59%至18 ppb,而O升高两倍至42 ppb。PM水平从64 μg m降至49 μg m(-24%)。主要成分均有所减少,其中硝酸盐减少最为显著,为-58%,其次是有机物,为-19%,硫酸盐为-17%。正定矩阵因子分解分析识别出14个源因子,包括9个一次源和5个二次源。二次源由富硫酸盐因子、富硝酸盐因子和3个二次有机气溶胶(SOA)因子组成,其中SOA_I为人为源SOA,SOA_II与有机氧化的后期产物有关,SOA_III为生物源SOA。二次源合计在封锁前和封锁期间分别占PM的69%和63%(40和22 μg m),其中富硝酸盐(-55%)因子的减少最为显著。在一次源中,工业、烹饪和车辆排放的贡献大幅减少(>80%)。与一些研究报告新冠疫情期间的限制导致二次硫酸盐和SOA生成增加不同,尽管郊区站点的氧化能力总体有所提高,但我们观察到二次无机化合物和SOA的生成均有所减少。我们的结果表明,城市一次前体大幅减少时,城市和郊区环境中二次无机和有机化合物的生成变化有所不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572b/9359772/c2cb439778ed/ga1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验