Article(id=1314917664473047357, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1738684800000, receivedDateStr=2025-02-05, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430401198, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430401198, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430401198, creator=13701087609, updateTime=1791430401198, updator=13701087609, issue=Issue{id=1314917567911788907, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='9', pageStart='4737', pageEnd='5328', issueExtLink='null', onlineDate='null', pubDate='1758297600000', pubDateStr='2025-09-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430378177, creator='13701087609', updateTime=1791431890195, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923910001418489, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923910001418490, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4861, endPage=4871, ext={EN=ArticleExt(id=1314917665555177790, articleId=1314917664473047357, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Carbonaceous aerosols concentration and optical properties in Chengdu, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Based on observational data of carbonaceous aerosols collected in Chengdu from June 15, 2020 to April 15, 2022, this study analyzed the temporal variation characteristics of their concentrations and optical properties, and explored the influence of different pollution processes on carbonaceous aerosol levels. The results show that the diurnal variations of carbonaceous aerosol components exhibited distinct bimodal patterns, primarily influenced by traffic rush hours and the development of the planetary boundary layer. The mass concentrations of total carbon (m_TC), elemental carbon (m_EC), and organic carbon (m_OC) peaked in winter, with average values of 8.8 ± 6.4, 2.8 ± 2.1, and 6.0 ± 4.5 μg/m³, respectively, and were lowest in summer. During winter, the mean values of the mass ratio of OC to EC (m_OC/m_EC:2.8 ± 0.9), the absorption Ångström exponent (α:1.5), and the contribution of brown carbon (BrC) to total absorption at 370nm (P_ErC:34 ± 19%) all reached their seasonal maxima. Statistical analysis of the relationship between carbonaceous aerosol components and pollution levels indicates that air pollution in Chengdu is mainly driven by the accumulation and aging of primary emissions under stagnant meteorological conditions. As pollution becomes more severe, the proportion of primary components in carbonaceous aerosols increases. Firework emissions during the Spring Festival were found to increase the contribution of BrC, while emissions and accumulation from motor vehicles led to an increased contribution of black carbon (BC). The relative contribution of BC can serve as an indicator of primary emission accumulation and subsequent aging processes during pollution events. This study provides valuable data support for expanding the carbonaceous aerosol database in Chengdu and for understanding the formation mechanism of wintertime compound pollution in the region.

, authors=Xin-ru MAO^{1, 3}, Yue LI¹, Xuan LIU⁵, Yi-hang JIANG⁴, Liang YUAN^{1, 2, *}, authorsList=Xin-ru MAO, Yue LI, Xuan LIU, Yi-hang JIANG, Liang YUAN, authorCompany=null, correspAuthors=Liang YUAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917666435981634, articleId=1314917664473047357, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=成都地区含碳气溶胶浓度及其光学特性, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于2020年6月15日~2022年4月15日在成都地区含碳气溶胶的观测数据，分析了该地区含碳气溶胶浓度及其光学特性的变化特征，并探讨了不同污染过程对含碳气溶胶浓度的影响．结果表明：各类含碳气溶胶日变化受到交通高峰和边界层发展的影响，呈现出早晚“双峰型”分布特征．总碳（m_TC）、元素碳（m_EC）和有机碳（m_OC）质量浓度均在冬季最高，分别为（8.8 ± 6.4）、（2.8 ± 2.1）和（6.0 ± 4.5）μg/m³，夏季最低．冬季m_OC/m_EC、吸收系数的波长指数（α）及棕碳（BrC）对370nm总吸收系数的贡献（P_BrC）均值均在冬季达到最高，分别为（2.8±0.9）%、1.5和（34±19）%，结合针对成都地区含碳气溶胶组分随污染物浓度变化的统计结果可知，该地区污染的形成主要由一次排放污染物在静稳天气下的堆积与老化过程导致；污染加重时，含碳气溶胶中的一次排放成分占比增加．春节烟花爆竹燃放会导致BrC对含碳气溶胶的贡献增加，受机动车排放与累积过程影响则会造成黑碳（BC）的贡献增加．BC在含碳气溶胶中的贡献可为污染过程中一次排放累积和二次老化生成提供一定参考．本研究对于扩充成都地区含碳气溶胶数据库及该地区冬季复合污染形成机制的探索提供数据支持．

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毛鑫茹（2000-），女，四川成都人，硕士研究生，研究方向为大气物理与大气气溶胶．xinru0503@outlook.com.

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