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Natl Sci Rev. 2020 Mar;7(3):492-495. doi: 10.1093/nsr/nwz184. Epub 2019 Nov 14.
2
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China.中国新冠疫情封锁期间一次排放的二次污染抵消增强
Natl Sci Rev. 2020 Jun 18;8(2):nwaa137. doi: 10.1093/nsr/nwaa137. eCollection 2021 Feb.
3
Chemical characterization and source apportionment of PM and PM in Tianjin, China: Impacts of biomass burning and primary biogenic sources.中国天津 PM 和 PM 的化学特征及来源解析:生物质燃烧和原生生物源的影响。
J Environ Sci (China). 2021 Jan;99:196-209. doi: 10.1016/j.jes.2020.06.027. Epub 2020 Jul 7.
4
Fast sulfate formation from oxidation of SO by NO and HONO observed in Beijing haze.在北京雾霾中观察到,NO 和 HONO 氧化 SO 快速形成硫酸盐。
Nat Commun. 2020 Jun 5;11(1):2844. doi: 10.1038/s41467-020-16683-x.
5
Stronger policy required to substantially reduce deaths from PM pollution in China.需要更强有力的政策来大幅减少中国因 PM 污染导致的死亡。
Nat Commun. 2020 Mar 19;11(1):1462. doi: 10.1038/s41467-020-15319-4.
6
Advancing the prediction accuracy of satellite-based PM concentration mapping: A perspective of data mining through in situ PM measurements.通过现场 PM 测量提升基于卫星的 PM 浓度制图预测精度:数据挖掘视角。
Environ Pollut. 2019 Nov;254(Pt B):113047. doi: 10.1016/j.envpol.2019.113047. Epub 2019 Aug 14.
7
Diagnosing atmospheric stability effects on the modeling accuracy of PM /AOD relationship in eastern China using radiosonde data.利用探空资料诊断大气稳定度对中国东部 PM/AOD 关系模拟精度的影响。
Environ Pollut. 2019 Aug;251:380-389. doi: 10.1016/j.envpol.2019.04.104. Epub 2019 Apr 30.
8
Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes.中国北方地区严重雾霾:人为排放与大气过程的协同作用。
Proc Natl Acad Sci U S A. 2019 Apr 30;116(18):8657-8666. doi: 10.1073/pnas.1900125116. Epub 2019 Apr 15.
9
Air pollution intervention and life-saving effect in China.中国的空气污染干预和救生效果。
Environ Int. 2019 Apr;125:529-541. doi: 10.1016/j.envint.2018.10.045. Epub 2019 Jan 3.
10
Unraveling the relationships between boundary layer height and PM pollution in China based on four-year radiosonde measurements.基于四年的探空测量数据,揭示中国边界层高度与 PM 污染之间的关系。
Environ Pollut. 2018 Dec;243(Pt B):1186-1195. doi: 10.1016/j.envpol.2018.09.070. Epub 2018 Sep 19.

中国六个代表性地区颗粒物中化学形态的特征

Characteristics of Chemical Speciation in PM in Six Representative Regions in China.

作者信息

Bai Kaixu, Wu Can, Li Jianjun, Li Ke, Guo Jianping, Wang Gehui

机构信息

Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, 200241 China.

Institute of Eco-Chongming, 20 Cuiniao Rd., Chongming, Shanghai, 202162 China.

出版信息

Adv Atmos Sci. 2021;38(7):1101-1114. doi: 10.1007/s00376-020-0224-2. Epub 2021 Apr 7.

DOI:10.1007/s00376-020-0224-2
PMID:33840873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8023521/
Abstract

A better knowledge of aerosol properties is of great significance for elucidating the complex mechanisms behind frequently occurring haze pollution events. In this study, we examine the temporal and spatial variations in both PM and its major chemical constituents using three-year field measurements that were collected in six representative regions in China between 2012 and 2014. Our results show that both PM and its chemical compositions varied significantly in space and time, with high PM loadings mainly observed in the winter. By comparing chemical constituents between clean and polluted episodes, we find that the elevated PM mass concentration during pollution events should be largely attributable to significant increases in organic matter (OM) and inorganic aerosols like sulfate, nitrate, and ammonium (SNA), indicative of the critical role of primary emissions and secondary aerosols in elevating PM pollution levels. The ratios of PM/PM are found to be generally high in Shanghai and Guangzhou, while relatively low ratios are seen in Xi'an and Chengdu, indicating anthropogenic emissions were more likely to accumulate in forms of finer particles. With respect to the relative importance of chemical components and meteorological factors quantified via statistical modeling practices, we find that primary emissions and secondary aerosols were the two leading factors contributing to PM variations, though meteorological factors also played important roles in regulating the dispersion of atmospheric PM.

摘要

更好地了解气溶胶特性对于阐明频繁发生的雾霾污染事件背后的复杂机制具有重要意义。在本研究中,我们利用2012年至2014年在中国六个代表性地区收集的为期三年的实地测量数据,研究了颗粒物(PM)及其主要化学成分的时空变化。我们的结果表明,PM及其化学成分在空间和时间上均有显著变化,高PM负荷主要出现在冬季。通过比较清洁时段和污染时段的化学成分,我们发现污染事件期间PM质量浓度的升高主要归因于有机物(OM)以及硫酸盐、硝酸盐和铵(SNA)等无机气溶胶的显著增加,这表明一次排放和二次气溶胶在提高PM污染水平方面起着关键作用。研究发现,上海和广州的PM/PM比值普遍较高,而西安和成都的比值相对较低,这表明人为排放更有可能以细颗粒物的形式积累。通过统计建模方法量化化学成分和气象因素的相对重要性,我们发现一次排放和二次气溶胶是导致PM变化的两个主要因素,尽管气象因素在调节大气PM的扩散方面也起着重要作用。