Article(id=1314917455319892580, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, 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=1732723200000, receivedDateStr=2024-11-28, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430351332, onlineDateStr=2026-10-08, pubDate=1752940800000, pubDateStr=2025-07-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430351332, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430351332, creator=13701087609, updateTime=1791430351332, updator=13701087609, issue=Issue{id=1314917454552327005, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='7', pageStart='3553', pageEnd='4144', issueExtLink='null', onlineDate='null', pubDate='1752940800000', pubDateStr='2025-07-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430351150, creator='13701087609', updateTime=1791431931754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924084186669335, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924084186669336, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=3564, endPage=3572, ext={EN=ArticleExt(id=1314917455793848933, articleId=1314917455319892580, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Effects of anthropogenic emission reduction on ozone formation sensitivity in the Yangtze River Delta, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

This study investigated the spatiotemporal variations of ozone (O₃) pollution and O₃ formation sensitivity in the Yangtze River Delta (YRD) with the air quality model CAMx and an optimized photochemical indicator (PH₂O₂/PHNO₃). The critical years of emission reduction strategies (2013, 2017, 2020, and 2030) were selected to simulate and predict changes in ozone concentration and formation sensitivity under different emission scenarios. The results revealed a north-south gradient in O₃ concentrations, with higher levels in northern areas and lower levels in southern areas. The ozone formation sensitivity regimes were divided by an Anqing-Nanjing-Suzhou-Jiaxing line. The northern aeras of the line were governed by a VOCs-limited regime (occupying 43.3% of the total area) and the southern areas were predominantly NO_x-limited (45.3%), with transitional zones covering the remaining area. Under fixed meteorological conditions, continuous reduction in anthropogenic emissions during 2013~2020led to a sustained decline in the daily maximum 8-hour average (MDA8) O₃ concentration, and a shift of the ozone formation regime from VOCs-limited to NO_x-limited. In 2030, O₃ levels in urban hotspots such as Shanghai are likely to increase, despite an overall reduction in regional O₃ levels. The shift towards the NO_x-limited region will continue, increasing by 30.2% from 2013 levels. Only specific cities along the Yangtze River and areas with heavy traffic emissions will remain VOCs-limited. In summary, excluding the impact of climate change, the emission mitigation strategies can effectively decrease the ozone levels in the YRD. Meanwhile it is still necessary to coordinate the reduction rates of NO_x and VOCs in VOCs-limited cities to prevent increases in O₃ levels.

, authors=Yong-yue TENG¹, Su-ya JIN¹, Jia-le ZHENG¹, Pei ZHANG¹, Hao-ran YE¹, Jing-yu AN², Jun-jie TIAN², Cheng HUANG³, Jian-hui JIANG^{1, 4, *}, authorsList=Yong-yue TENG, Su-ya JIN, Jia-le ZHENG, Pei ZHANG, Hao-ran YE, Jing-yu AN, Jun-jie TIAN, Cheng HUANG, Jian-hui JIANG, authorCompany=null, correspAuthors=Jian-hui JIANG, 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=1314917456255222374, articleId=1314917455319892580, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=人为源减排对长三角臭氧生成敏感性的影响, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

对基于空气质量模型CAMx的臭氧（O₃）生成敏感性判断指标（PH₂O₂/PHNO₃）进行优化，研究长三角地区O₃浓度以及O₃生成敏感性的时空格局；选择减排政策的关键时间节点2013、2017、2020和2030年，模拟并预测了不同排放情景下的O₃浓度以及O₃生成敏感性的变化．结果表明，长三角地区O₃浓度分布呈现北高南低的空间分布特征；O₃生成敏感性以安庆-南京-苏州-嘉兴为分界线，分界线以北地区以VOCs限制区为主，占据长三角总面积的43.3%，分界线以南为NO_x限制区为主，占总面积的45.3%，其余为过渡区域．在气象条件不变的前提下，随着前体物排放的持续降低，长三角地区日最大8h O₃平均浓度（MDA8）有所下降，并且区域敏感性逐渐向NO_x限制区转变．在2030年碳达峰情景下，长三角地区平均O₃浓度降低但上海等局部地区O₃出现上升；O₃生成机制持续向NO_x限制转变，NO_x限制区面积占比较2013年增长了30.2%，仅长江沿岸部分城市及交通要道仍保持VOCs限制．在排除气候变化因素影响的前提下，当前减排政策能够降低长三角地区O₃平均MDA8浓度，但处于VOCs限制主导的城市地区仍需要重视NO_x和VOCs的协同减排，避免局部地区出现O₃反升．

, authors=滕永跃¹, 金素雅¹, 郑佳乐¹, 张佩¹, 叶浩然¹, 安静宇², 田俊杰², 黄成³, 姜建惠^{1, 4, *}, authorsList=滕永跃, 金素雅, 郑佳乐, 张佩, 叶浩然, 安静宇, 田俊杰, 黄成, 姜建惠, authorCompany=null, correspAuthors=姜建惠, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=cuHDAiVP4LmVgUW4TlDvDg==, magXml=/asV4Z+IqQTO1wJ4Zsieow==, pdfUrl=null, pdf=fQWO80dVSCsCwG3Iig99Kw==, pdfFileSize=2328099, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=MfMkve7wJ+GMp8kvjforgw==, mapNumber=null, fund=null)}, authors=[Author(id=1314917458851496564, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917455319892580, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=51253903110@stu.ecnu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917458935382646, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917455319892580, authorId=1314917458851496564, language=EN, stringName=Yong-yue TENG, firstName=Yong-yue, middleName=null, lastName=TENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917459015074423, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917455319892580, authorId=1314917458851496564, language=CN, stringName=滕永跃, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.华东师范大学生态与环境科学学院，上海 200241, bio={"content":"

滕永跃（1999-），男，江苏连云港人，华东师范大学硕士研究生，主要从事臭氧生成机制模型研究．51253903110@stu.ecnu.edu.cn.

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滕永跃（1999-），男，江苏连云港人，华东师范大学硕士研究生，主要从事臭氧生成机制模型研究．51253903110@stu.ecnu.edu.cn.

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