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This study investigated the effect of ozone and photolysis rate on formic acid formation mechanisms from oxidation of benzene across five major Chinese cities (Beijing, Shanghai, Guangzhou, Xi'an, and Chengdu) between 2014~2023. Combining the spatiotemporal patterns of ozone (maximum 8-hr average from China's National Environmental Monitoring Center), J_(NO2) (derived from solar zenith angle calculations) and the oxidation mechanism of benzene, the effect of ozone and J_(NO2) on formic acid production from the atmospheric oxidation of benzene were modelled. Key findings revealed that formic acid yields from benzene exhibited: (1) strong seasonal correlation with ozone levels across all cities (R² = 0.96); (2) consistent trends with that of J_(NO2) in Beijing, Shanghai, Xi'an, and Chengdu (R² = 0.80~0.94), contrasting with Guangzhou's weak correlation (R² = 0.27); (3) distinct seasonal variations with significant lower production in winter than other seasons in all cities, consistent peak production of formic acid in summer in Beijing, Xi'an, and Chengdu, alternating maxima between spring and summer in Shanghai, and peak formation in autumn in Guangzhou.

, authors=Jia-xue TANG¹, De-xin HUANG¹, Sai-nan WANG^{1, 2, *}, authorsList=Jia-xue TANG, De-xin HUANG, Sai-nan WANG, authorCompany=null, correspAuthors=Sai-nan WANG, 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=1314917524865646645, articleId=1314917523829653555, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=典型城市大气中关键环境因素对苯氧化生成甲酸的贡献, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

利用中国环境监测总站发布的臭氧8h滑动均值的24h最大值数据，以及基于太阳天顶角计算得到的二氧化氮光解速率系数J_（NO2），分析了北京、上海、广州、西安和成都5个典型城市在2014~2023年间臭氧浓度和J_（NO2）的变化特征，结合苯大气氧化生成甲酸过程中的微观反应速率和产物分布信息，模拟估算了O₃和J_（NO2）两个关键环境因素对该过程的影响．结果表明：（1）不同城市不同季节苯生成甲酸的产率均与臭氧浓度变化趋势一致，且相关性较好，相关系数高达0.96；（2）北京、上海、西安和成都甲酸的产率与J_（NO2）的变化趋势相对一致，相关系数处于0.80~0.94之间，而广州仅在个别年份呈现一致的变化趋势，相关系数仅为0.27；（3）各个城市甲酸的总体产量呈现明显季节变化规律，冬季甲酸产量都明显低于其他季节，北京、西安和成都甲酸产量峰值均出现在夏季且年际变化不明显，上海市甲酸产量峰值在春夏季交替出现，而广州市甲酸产量峰值则大多出现在秋季．

, authors=唐嘉雪¹, 黄德新¹, 王赛男^{1, 2, *}, authorsList=唐嘉雪, 黄德新, 王赛男, authorCompany=null, correspAuthors=王赛男, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=W/F7l6/KtJLD/x553Dp5IA==, magXml=dZZk2AL5o8m+oOLYrDDYDQ==, pdfUrl=null, pdf=gSeXCKU2XhWCbW5UJj2zxA==, pdfFileSize=1830587, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Vcv19u3LVC6eOAgxY9v9Dg==, mapNumber=null, fund=null)}, authors=[Author(id=1314917526585311293, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917523829653555, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=3230101076@stu.cuit.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917526694363199, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917523829653555, authorId=1314917526585311293, language=EN, stringName=Jia-xue TANG, firstName=Jia-xue, middleName=null, lastName=TANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610025, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917526782443584, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917523829653555, authorId=1314917526585311293, language=CN, stringName=唐嘉雪, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，四川 成都 610225, bio={"content":"

唐嘉雪（2001-），女，山东威海人，成都信息工程大学硕士研究生，主要从事大气环境化学研究．3230101076@stu.cuit.edu.cn.

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唐嘉雪（2001-），女，山东威海人，成都信息工程大学硕士研究生，主要从事大气环境化学研究．3230101076@stu.cuit.edu.cn.

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