Article(id=1314918451018297386, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, 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=1747756800000, receivedDateStr=2025-05-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430588726, onlineDateStr=2026-10-08, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430588726, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430588726, creator=13701087609, updateTime=1791430588726, updator=13701087609, issue=Issue{id=1314918450573701162, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='12', pageStart='6513', pageEnd='7104', issueExtLink='null', onlineDate='null', pubDate='1766160000000', pubDateStr='2025-12-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430588620, creator='13701087609', updateTime=1791431575400, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922589479333965, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922589479333966, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6513, endPage=6525, ext={EN=ArticleExt(id=1314918451207041067, articleId=1314918451018297386, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Impact of physical and chemical processes in the atmospheric boundary layer on ozone pollution in Anhui Province, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Based on multi-source environmental and meteorological observations combined with WRF-Chem numerical simulations, the three-dimensional evolution of a typical ozone (O₃) pollution episode in Anhui Province was comprehensively investigated. The relative contributions of atmospheric physical and chemical processes, including chemical reactions, advective transport, and turbulent mixing, to O₃ concentration changes were quantified. The synergistic influence mechanism of these physical and chemical processes, coupled with diurnal variations in atmospheric boundary layer (ABL) structures on surface O₃ pollution was also revealed. During the pollution episode on June 1~3, 2022, three-quarters of the cities exceeded the national O₃ pollution standard, with O₃ concentrations higher in the north and lower in the south, a pattern controlled by local meteorological conditions. This O₃ pollution episode was influenced by the combined impact of two major source regions: North China Plain and Yangtze River Delta. In the early stage, northwesterly airflow transported O₃ from North China Plain to northern Anhui, where local wind convergence, together with unfavourable meteorological conditions of high temperature and low humidity, triggered severe O₃ pollution. In the later stage, southeasterly winds prevailed, driving the northward transport of O₃ from Yangtze River Delta to Anhui and prolonging the pollution period. The model results indicated that the diurnal variation of O₃ budget showed a bimodal distribution, with turbulent mixing and horizontal transport processes dominating the peaks at 09:00 and 17:00, respectively, and consequently delaying the O₃ concentration peak to 18:00. The influence of regional O₃ transport exhibited a temporal lag effect: during the daytime, transport within the ABL at approximately 500m directly affected surface O₃ concentrations in adjacent areas; whereas at night, transport within the residual layer at approximately 1km dominated, interacting with diurnal ABL variations, thus exacerbating O₃ pollution in distant downstream areas.

, authors=Xiao-yun SUN^{1, 2, *}, Chun-e SHI^{1, 2}, Hao ZHANG^{1, 2}, Zhuang WANG^{1, 2}, Zhao-ye WU³, Fang-tao GAO⁴, Sha XIAO⁴, authorsList=Xiao-yun SUN, Chun-e SHI, Hao ZHANG, Zhuang WANG, Zhao-ye WU, Fang-tao GAO, Sha XIAO, authorCompany=null, correspAuthors=Xiao-yun SUN, 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=1314918453048340524, articleId=1314918451018297386, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=大气边界层理化过程对安徽省臭氧污染的影响, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于多源环境气象观测结合WRF-Chem数值模拟，全面认识安徽省典型臭氧（O₃）污染的三维演变特征，量化化学生成、平流传输和湍流混合等大气物理化学过程对O₃浓度变化的相对贡献，揭示主要理化过程与大气边界层垂直结构昼夜变化对近地面O₃污染的共同作用机制．结果表明：2022年6月1~3日O₃污染过程期间，安徽省O₃浓度呈“北高南低”的分布特征，超标城市比例达 3/4，局地气象条件起关键作用．安徽受“华北-长三角”双污染源叠加影响：污染前期西北气流将华北地区的O₃输送至安徽北部，局地风向辐合及高温低湿的不利气象条件触发此次重污染过程；后期东南风主导，长三角地区高浓度O₃向北传输，导致重污染持续．模式过程分析结果表明O₃浓度净收支日变化呈双峰分布，湍流混合和水平传输过程分别主导了09：00时和17：00时O₃净收支的峰值，并使O₃浓度日变化峰值推迟至18：00时．O₃跨区域传输的影响具有时间滞后性：白天，在边界层内500m左右的传输直接影响邻近地区的近地面O₃浓度；夜间则是由1km左右的残留层传输，与边界层昼夜变化过程相互作用，进而加剧下游远距离地区的O₃污染．

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孙晓芸（1995-），女，江苏扬州人，工程师，博士，主要从事大气环境研究．发表论文20余篇．sunxy6362@126.com.

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孙晓芸（1995-），女，江苏扬州人，工程师，博士，主要从事大气环境研究．发表论文20余篇．sunxy6362@126.com.

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