Article(id=1314923000214937841, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, 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=1754928000000, receivedDateStr=2025-08-12, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431673338, onlineDateStr=2026-10-08, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431673338, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431673338, creator=13701087609, updateTime=1791431673338, updator=13701087609, issue=Issue{id=1314922986466009203, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='3', pageStart='1185', pageEnd='1776', issueExtLink='null', onlineDate='null', pubDate='1773936000000', pubDateStr='2026-03-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791431670061, creator='13701087609', updateTime=1791431955369, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924183251935526, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924183251935527, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1185, endPage=1193, ext={EN=ArticleExt(id=1314923000424653042, articleId=1314923000214937841, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=The impact of land-sea air masses interaction processes on ozone pollution in Shenzhen, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

To better understand the impact of land-sea air masses interaction processes on ozone (O3) pollution in Shenzhen, two typical land-sea interaction processes (long-range air masses transport and sea-land breeze (SLB) circulation) were analyzed based on ten years of observational ozone concentrations, meteorological dataset, meteorological reanalysis data and the HYSPLIT backward trajectory model. Long-range air masses were identified and further categorized into oceanic, coastal, and inland types according to trajectory pathways. The corresponding mean O3 concentrations were (45.5±26.1), (71.3±33.7) and (68.4±30.6)μg/m3, respectively. Among them, coastal air masses exhibited the highest O3 pollution levels, with a frequency of 39%, and showed particularly strong transport potential in autumn, making it a major source of O3 pollution in Shenzhen. In addition, the SLB circulation further influenced O3 concentration in Shenzhen. The annual frequency of SLB days in Shenzhen over the past 10 years was 18.8%, with the highest occurrence in spring and summer. O3 concentrations on SLB days were significantly higher than that on non-SLB days, with an average annual difference of 9.6%, primarily due to low wind speeds, inversions, and recirculation conditions. The difference was most pronounced in autumn (12.28μg/m3) which could be attributed to favorable conditions, including clear and dry weather, lower background wind speeds, and a higher likelihood of SLB development. Overall, O3 pollution in Shenzhen was strongly influenced by land-sea air masses interactions, particularly in autumn, which should be prioritized for mitigation.

, authors=Jing CHEN, Yu-chen LIU, Xiao FU*, authorsList=Jing CHEN, Yu-chen LIU, Xiao FU, authorCompany=null, correspAuthors=Xiao FU, 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=1314923000680505587, articleId=1314923000214937841, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=陆海气团交互过程对深圳市臭氧污染的影响, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

为深入认识陆海交互过程对深圳市臭氧(O3)的作用机制,基于深圳市10a间O3浓度与气象观测数据、气象再分析资料及HYSPLIT后向轨迹模式,分析长距离气团输送和海陆风循环两类典型过程的时空特征及其对O3浓度的影响.结果表明,影响深圳市的长距离输送气团按路径特征可归纳为海洋型、内陆型和沿海型3类,对应的O3浓度平均值分别为(45.5±26.1),(68.4±30.6),(71.3±33.7)μg/m3.其中,沿海型气团的O3污染水平最高,发生频率为39%,尤其在秋季具备较强的输送潜势,是导致深圳市O3污染的重要输送来源.此外,海陆风循环进一步影响了深圳市的O3浓度.深圳市10a间海陆风年均发生频率为18.8%,春、夏季最为常见.海陆风日的低风速、局地逆温和再输送条件均有利于污染物的积聚与回流,其O3浓度显著高于非海陆风日,年均差值可达9.6%.其中秋季差异最为突出,O3平均浓度高出12.28μg/m3,主要与秋季晴朗干燥、背景风速较低、以及海陆风环流更容易建立等条件有关.综合来看,深圳市O3污染受陆海气团交互过程显著调控,秋季应作为重点防控时段.

, authors=陈晶, 刘雨晨, 付晓*, authorsList=陈晶, 刘雨晨, 付晓, authorCompany=null, correspAuthors=付晓, authorNote=

陈晶(1997-),女,内蒙古呼和浩特人,清华大学深圳研究生院博士研究生,研究方向为陆海交互作用下的大气化学及其对臭氧的影响.发表论文1篇..

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* 责任作者,副教授,
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陈晶(1997-),女,内蒙古呼和浩特人,清华大学深圳研究生院博士研究生,研究方向为陆海交互作用下的大气化学及其对臭氧的影响.发表论文1篇..

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陈晶(1997-),女,内蒙古呼和浩特人,清华大学深圳研究生院博士研究生,研究方向为陆海交互作用下的大气化学及其对臭氧的影响.发表论文1篇..

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陆海气团交互过程对深圳市臭氧污染的影响
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陈晶 , 刘雨晨 , 付晓 *
中国环境科学 | 臭氧污染与控制 2026,46(3): 1185-1193
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中国环境科学 |臭氧污染与控制 2026 , 46 (3) : 1185 -1193
陆海气团交互过程对深圳市臭氧污染的影响
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陈晶 , 刘雨晨, 付晓*
作者信息
  • 清华大学深圳国际研究生院,广东 深圳 518055
通讯作者:
* 责任作者,副教授,
作者简介:

陈晶(1997-),女,内蒙古呼和浩特人,清华大学深圳研究生院博士研究生,研究方向为陆海交互作用下的大气化学及其对臭氧的影响.发表论文1篇..

The impact of land-sea air masses interaction processes on ozone pollution in Shenzhen
Jing CHEN , Yu-chen LIU, Xiao FU*
Affiliations
  • Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
出版时间: 2026-03-20
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为深入认识陆海交互过程对深圳市臭氧(O3)的作用机制,基于深圳市10a间O3浓度与气象观测数据、气象再分析资料及HYSPLIT后向轨迹模式,分析长距离气团输送和海陆风循环两类典型过程的时空特征及其对O3浓度的影响.结果表明,影响深圳市的长距离输送气团按路径特征可归纳为海洋型、内陆型和沿海型3类,对应的O3浓度平均值分别为(45.5±26.1),(68.4±30.6),(71.3±33.7)μg/m3.其中,沿海型气团的O3污染水平最高,发生频率为39%,尤其在秋季具备较强的输送潜势,是导致深圳市O3污染的重要输送来源.此外,海陆风循环进一步影响了深圳市的O3浓度.深圳市10a间海陆风年均发生频率为18.8%,春、夏季最为常见.海陆风日的低风速、局地逆温和再输送条件均有利于污染物的积聚与回流,其O3浓度显著高于非海陆风日,年均差值可达9.6%.其中秋季差异最为突出,O3平均浓度高出12.28μg/m3,主要与秋季晴朗干燥、背景风速较低、以及海陆风环流更容易建立等条件有关.综合来看,深圳市O3污染受陆海气团交互过程显著调控,秋季应作为重点防控时段.

陆海交互  /  长距离传输  /  海陆风  /  臭氧污染

To better understand the impact of land-sea air masses interaction processes on ozone (O3) pollution in Shenzhen, two typical land-sea interaction processes (long-range air masses transport and sea-land breeze (SLB) circulation) were analyzed based on ten years of observational ozone concentrations, meteorological dataset, meteorological reanalysis data and the HYSPLIT backward trajectory model. Long-range air masses were identified and further categorized into oceanic, coastal, and inland types according to trajectory pathways. The corresponding mean O3 concentrations were (45.5±26.1), (71.3±33.7) and (68.4±30.6)μg/m3, respectively. Among them, coastal air masses exhibited the highest O3 pollution levels, with a frequency of 39%, and showed particularly strong transport potential in autumn, making it a major source of O3 pollution in Shenzhen. In addition, the SLB circulation further influenced O3 concentration in Shenzhen. The annual frequency of SLB days in Shenzhen over the past 10 years was 18.8%, with the highest occurrence in spring and summer. O3 concentrations on SLB days were significantly higher than that on non-SLB days, with an average annual difference of 9.6%, primarily due to low wind speeds, inversions, and recirculation conditions. The difference was most pronounced in autumn (12.28μg/m3) which could be attributed to favorable conditions, including clear and dry weather, lower background wind speeds, and a higher likelihood of SLB development. Overall, O3 pollution in Shenzhen was strongly influenced by land-sea air masses interactions, particularly in autumn, which should be prioritized for mitigation.

land-sea interaction  /  long range transport  /  sea-land breeze  /  ozone pollution
陈晶, 刘雨晨, 付晓. 陆海气团交互过程对深圳市臭氧污染的影响. 中国环境科学, 2026 , 46 (3) : 1185 -1193 .
Jing CHEN, Yu-chen LIU, Xiao FU. The impact of land-sea air masses interaction processes on ozone pollution in Shenzhen[J]. China Environmental Science, 2026 , 46 (3) : 1185 -1193 .
  • 深圳市基础研究面上项目(JCYJ20220530143007016)
  • 广东省自然科学基金面上项目(2025A1515012215)
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  • 接收时间:2025-08-12
  • 首发时间:2026-10-08
  • 出版时间:2026-03-20
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  • 收稿日期:2025-08-12
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深圳市基础研究面上项目(JCYJ20220530143007016)
广东省自然科学基金面上项目(2025A1515012215)
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    清华大学深圳国际研究生院,广东 深圳 518055

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* 责任作者,副教授,
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