Article(id=1314918376850420054, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, 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=1741708800000, receivedDateStr=2025-03-12, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430571043, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430571043, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430571043, creator=13701087609, updateTime=1791430571043, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5950, endPage=5958, ext={EN=ArticleExt(id=1314918377043358039, articleId=1314918376850420054, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Characteristics and source analysis of atmospheric volatile organic compounds pollution in Wuhan urban area based on photochemical loss, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=
Assessment of photochemical losses is essential for characterizing VOC pollution and apportioning its sources. Continuous online monitoring of VOCs was conducted in urban Wuhan from September 8 to 18, 2021, capturing two ozone pollution episodes with active photochemical reactions. The parameterized method based on photochemical age was employed to correct observed VOC concentrations (Ob) for photochemical losses, deriving initial concentrations (In) for pollution characterization. Source apportionment was performed using the Positive Matrix Factorization (PMF) model. Results indicate that alkenes exhibited the highest photochemical loss concentrations and ozone formation potential (OFP) among VOC categories, identifying them as key species governing ozone pollution. PMF analysis based on initial and observed values identified six major emission sources with concentration contributions (initial, observed) as follows: vehicle emissions (16.5%, 17.7%), industrial chemical emissions (14.7%, 13.7%), biogenic sources (4.6%, 4.0%), combustion sources (20.2%, 33.1%), LPG/NG usage (21.1%, 18.9%), and solvent use (22.9%, 12.6%). The PMF results were significantly influenced by photochemical reactions, underscoring the necessity of employing initial VOC concentrations in source apportionment to avoid underestimating contributions from solvent use, LPG/NG sources, biogenic emissions, and industrial chemical sources.
, authors=Han YUE
1, Ke HU
2, An-xiong CHEN
2, Hai-qun GONG
2, Hai-rong CHENG
1, *, authorsList=Han YUE, Ke HU, An-xiong CHEN, Hai-qun GONG, Hai-rong CHENG, authorCompany=null, correspAuthors=Hai-rong CHENG, 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=1314918377324376408, articleId=1314918376850420054, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于光化学损失的武汉城区大气挥发性有机物污染特征和来源解析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=
对VOCs的污染特征和来源解析需要对VOCs的光化学损失进行评估.选取2021年9月8~18日在武汉城区开展VOCs连续在线监测,期间发生两次臭氧高污染过程,光化学反应较为活跃.利用光化学年龄的参数化方法对VOCs观测浓度(Ob)进行光化学损失矫正获取VOCs初始浓度(In),并分析VOCs的污染特征,使用正交矩阵因子模型(PMF)进行来源解析.研究结果表明,各类VOCs中光化学损失浓度和臭氧生成潜势(OFP)最高的均为烯烃,烯烃是控制臭氧污染的关键组分.基于初始值和测量值进行PMF源解析得到的6个主要排放源浓度贡献(初始值,观测值)为:机动车排放源(16.5%,17.7%)、化工排放源(14.7%,13.7%)、植物源(4.6%,4.0%)、燃烧源(20.2%,33.1%)、LPG/NG使用源(21.1%,18.9%)和溶剂使用源(22.9%,12.6%).PMF源解析结果受光化学反应影响显著,因此进行源解析时应考虑VOCs初始值,避免低估溶剂使用源,LPG/NG源,植物源,化工排放源等的贡献.
, authors=乐翰
1, 胡柯
2, 陈安雄
2, 龚海群
2, 成海容
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乐翰(1998-),男,湖北咸宁人,武汉大学硕士研究生,主要从事大气挥发性有机物来源解析研究.yuehan98@whu.edu.cn.
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乐翰(1998-),男,湖北咸宁人,武汉大学硕士研究生,主要从事大气挥发性有机物来源解析研究.yuehan98@whu.edu.cn.
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