Article(id=1314917626921443338, 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=1739548800000, receivedDateStr=2025-02-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430392245, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430392245, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430392245, creator=13701087609, updateTime=1791430392245, 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=4762, endPage=4775, ext={EN=ArticleExt(id=1314917627168907275, articleId=1314917626921443338, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=The characteristics of the ozone and its precursors in the autumn of 2018 and 2022 in Dongguan, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

This study investigated the characteristics of O₃ and its precursors in Dongguan during the autumns of 2018 and 2022. By integrating observational data, backward trajectory analysis, and box model simulations, we examined the changes in O₃ and precursor concentrations, O₃ formation pathways, and the evolution of control regimes during both polluted and clean periods, which provided insights into ozone pollution mitigation. The average O₃ concentration in Dongguan was higher in autumn 2022 than in 2018, whereas both the average concentrations of nitrogen oxides (NO_x) and volatile organic compounds (VOCs) decreased in 2022. Alkanes accounted for the largest proportion of total VOCs (TVOCs) in both autumn periods, while aromatics and alkenes contributed the most to ozone formation potential (OFP). Notably, the contribution of biogenic VOCs (specifically isoprene) to OFP increased from 6.0% in 2018 to 12.1% in 2022. Comparative studies between polluted and clean periods revealed that TVOC concentrations during polluted periods in 2018 (73.7×10^-9) and their growth rates (148.5%) were significantly higher than those in 2022 (26.1×10^-9 and 67.0%), driven primarily by alkanes and aromatics. In 2018, the OFP growth rate of alkanes was highest during the polluted periods, whereas aromatics dominated in 2022. Box model simulations revealed that the enhancement of O₃ formation rates (16.6×10^-9/h) was notably higher in the polluted periods of 2018 than in 2022 (1.8×10^-9/h), mainly due to increased production of RO₂ and HO₂ radicals from high concentrations of alkanes and aromatics. Additionally, the marked decline in TVOC concentrations during the polluted periods of 2022 suggests a shift in O₃ formation from a VOC-limited regime to a transitional regime, highlighting the need for joint control of TVOCs and NO_x. The results of VOCs emission reduction indicated that O₃ was most sensitive to reductions in the top 10 OFP-contributing species, with relative incremental reactivities (RIR) of 0.85%/% in 2018 and 0.81%/% in 2022, which was more effective than reducing alkenes (0.74%/% in 2018 and 0.37%/% in 2022), aromatics (0.44%/% in 2018and 0.49%/% in 2022), and the top 10species with the highest concentrations (0.20%/% in 2018and 0.37%/% in 2022).

, authors=Su-xia YANG¹, Bin YUAN², Xiao-bing LI², Zi-ming YE¹, Ji-zhang HUANG^{1, *}, authorsList=Su-xia YANG, Bin YUAN, Xiao-bing LI, Zi-ming YE, Ji-zhang HUANG, authorCompany=null, correspAuthors=Ji-zhang HUANG, 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=1314917627433148430, articleId=1314917626921443338, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=东莞市2018年和2022年秋季臭氧及前体物特征研究, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

聚焦珠三角地区东莞市2018年与2022年秋季大气状况，综合运用观测数据、后向轨迹传输模型及盒子模式，探讨了O₃浓度变化成因、前体物浓度与活性、污染期与清洁期O₃生成途径及控制区演变，为臭氧污染防控提供了策略依据．研究结果表明：（1）2022年秋季东莞O₃浓度均值高于 2018年，然而同期氮氧化物（NO_x）和挥发性有机物（VOCs）均值浓度下降；（2）总挥发性有机物（TVOCs）中烷烃浓度在两个年份的秋季占比均是最高，芳香烃和烯烃对O₃生成潜势（OFP）贡献最高，天然源VOCs（异戊二烯）的OFP贡献呈现增加趋势，从2018年秋季的6.0%增至2022年秋季的12.1%；（3）臭氧污染期与清洁期的对比研究表明，2018年臭氧污染期TVOCs的总浓度（73.7×10^-9）与增长率（148.5%）均显著高于2022年（26.1×10^-9和67.0%），其中的主要贡献组分是烷烃和芳香烃，2018年污染期OFP 相对增长率最大的是烷烃，2022年污染期则是芳香烃．2018年污染期臭氧的本地臭氧生成速率增加值（16.6×10^-9/h）明显高于2022年（1.8×10^-9/h），这与2018年污染期高浓度的烷烃和芳香烃促进RO₂和HO₂自由基生成有关．此外，随着2022年污染期TVOCs浓度的显著下降，东莞市臭氧的生成已经由VOCs控制区向过渡区转移，相应的臭氧污染治理措施也应该注重TVOCs和NO_x的同步管控；（4）2018年和2022年的秋季VOCs组分减排实验表明O₃对OFP占比前10物种减排敏感性最高，RIR分别为0.85%/%和0.81%/%，优于单独针对烯烃（0.74%/%和0.37%/%）、芳香烃（0.44%/%和0.49%/%）和浓度占比前10物种（0.20%/%和0.37%/%）的减排效果．

, authors=杨素霞¹, 袁斌², 李小兵², 叶子铭¹, 黄继章^{1, *}, authorsList=杨素霞, 袁斌, 李小兵, 叶子铭, 黄继章, authorCompany=null, correspAuthors=黄继章, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=fYLPPH6kikWqX0Sr/0OX1Q==, magXml=cMV0IDDx4XfJYsA3YND12A==, pdfUrl=null, pdf=LFcbIKrH+oczScstuWM0oQ==, pdfFileSize=4022383, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=PlF6CrWSKhdv/rrksn797Q==, mapNumber=null, fund=null)}, authors=[Author(id=1314917989695185467, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917626921443338, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=yang_sx18@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917989758100029, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917626921443338, authorId=1314917989695185467, language=EN, stringName=Su-xia YANG, firstName=Su-xia, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Guangzhou Research Institute of Environment Protection Co., Ltd., Guangzhou 510620, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917989854569022, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917626921443338, authorId=1314917989695185467, language=CN, stringName=杨素霞, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.广州市环境保护科学研究院有限公司，广东 广州 510620, bio={"content":"

杨素霞（1986-），女，河南安阳人，工程师，博士，研究方向为大气环境、大气复合污染成因与防治．发表论文 20余篇．yang_sx18@163.com.

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杨素霞（1986-），女，河南安阳人，工程师，博士，研究方向为大气环境、大气复合污染成因与防治．发表论文 20余篇．yang_sx18@163.com.

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