Article(id=1314922987682361451, 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=1755792000000, receivedDateStr=2025-08-22, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431670350, onlineDateStr=2026-10-08, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431670350, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431670350, creator=13701087609, updateTime=1791431670350, 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=1202, endPage=1215, ext={EN=ArticleExt(id=1314922987883688044, articleId=1314922987682361451, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Synoptic mechanisms analysis and prediction model development for ozone pollution triggered by approaching tropical cyclones in the Guangdong-Hong Kong-Macao Greater Bay Area, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Based on tropical cyclone (TC) data, reanalysis data, and ozone monitoring data from 2014 to 2024, the synoptic mechanism by which approaching tropical cyclones (ATCs) trigger ozone pollution in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was analyzed. A prediction model was developed using Spearman's rank correlation coefficient and the random forest regression method. The results indicated that: ATCs inducing ozone pollution in the GBA were primarily distributed within a range of 270~1758km, and a clear disparity in intensity was observed on the eastern and western sides of the line connecting Taiwan Island and Luzon Island. The ATCs east of the line all reach typhoon intensity or above, while those west range from tropical depression to severe typhoon intensity. Ozone pollution was induced by ATCs through the generation of subsiding airflows in upper levels, which reduces cloud cover over the GBA, increases downward shortwave radiation, elevates surface temperatures, and reduces relative humidity, precipitation and wind speed. Through SOM clustering analysis, four ozone pollution distribution patterns triggered by ATCs in the GBA were identified: the southwestern pollution pattern, the widespread pollution pattern, the western pollution pattern, and the northeastern pollution pattern. These patterns are associated with the transport and convergence effects of different surface wind fields. Ozone concentrations in the 11cities of the GBA were found to correlate well with tropical cyclone characteristics (radius of 7-level wind circle and proximity rate), as well as significant correlations with surface meteorological factors (such as land-sea wind direction difference and land-sea meridional wind speed difference) and upper-air meteorological factors (such as 200 hPa vertical velocity, 700 hPa meridional wind, 700 hPa specific humidity, and 925 hPa zonal wind). The forecasting model constructed based on 18factors, including tropical cyclone characteristics and surface and upper-air meteorological elements, demonstrates high generalizability and accuracy. The average correlation coefficient between the model's forecast values and the actual monitoring values reached 0.811, the average root mean square error was 30.2μg/m3, and the average TS score for ozone level prediction was 0.668.

, authors=Jun-bin WANG1, 2, Ting-yuan LI1, 2, *, Jing-yang CHEN1, 2, Yu GONG1, 2, Jin SHEN3, authorsList=Jun-bin WANG, Ting-yuan LI, Jing-yang CHEN, Yu GONG, Jin SHEN, authorCompany=null, correspAuthors=Ting-yuan LI, 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=1314922988399587437, articleId=1314922987682361451, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=临近热带气旋引发粤港澳大湾区臭氧污染的气象成因分析及预报模型构建, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于2014~2024年热带气旋资料、再分析资料和臭氧监测数据,分析了临近热带气旋引发粤港澳大湾区臭氧污染的气象成因,并借助Spearman秩相关系数和随机森林回归方法构建了预报模型.结果表明:引发粤港澳大湾区臭氧污染的临近热带气旋主要分布在距离270~1758km的范围内,并且在台湾岛和吕宋岛一线的东西两侧呈现明显的强度差异,东侧的气旋强度均在台风级以上,而西侧的气旋强度在热带低压到强台风级之间.临近气旋通过外围高层的下沉气流,导致粤港澳大湾区云量减少,向下短波辐射增强,地面气温偏高,而相对湿度、降水和风速偏低,进而引发臭氧污染.SOM聚类分析发现,临近热带气旋在粤港澳大湾区会引发西南角污染型、大范围污染型、西部污染型和东北部污染型四种臭氧浓度分布,各种浓度分布与不同地面风场的传输和辐合作用有关.粤港澳大湾区11个地市的臭氧浓度与热带气旋的特征(七级风圈半径和临近率)有较好的相关性,此外还与地面气象要素(海陆风向差和海陆经向风速差等)和高空气象要素(200hPa垂直速度、700hPa经向风、700hPa比湿和925hPa纬向风等)显著相关.基于热带气旋特征及地面和高空气象要素共18个因子构建的预报模型具有较高的泛化性和准确性,模型预报值与实际监测值的平均相关系数达到0.811,平均均方根误差为30.2μg/m3,平均臭氧等级TS评分为0.668.

, authors=王俊彬1, 2, 李婷苑1, 2, *, 陈靖扬1, 2, 龚宇1, 2, 沈劲3, authorsList=王俊彬, 李婷苑, 陈靖扬, 龚宇, 沈劲, authorCompany=null, correspAuthors=李婷苑, authorNote=

王俊彬(1996-),男,广东揭阳人,工程师,博士,主要研究方向为污染气象学、气候学.发表论文11篇..

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* 责任作者,高级工程师,
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王俊彬(1996-),男,广东揭阳人,工程师,博士,主要研究方向为污染气象学、气候学.发表论文11篇..

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王俊彬(1996-),男,广东揭阳人,工程师,博士,主要研究方向为污染气象学、气候学.发表论文11篇..

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临近热带气旋引发粤港澳大湾区臭氧污染的气象成因分析及预报模型构建
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王俊彬 1, 2 , 李婷苑 1, 2, * , 陈靖扬 1, 2 , 龚宇 1, 2 , 沈劲 3
中国环境科学 | 臭氧污染与控制 2026,46(3): 1202-1215
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中国环境科学 |臭氧污染与控制 2026 , 46 (3) : 1202 -1215
临近热带气旋引发粤港澳大湾区臭氧污染的气象成因分析及预报模型构建
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王俊彬1, 2 , 李婷苑1, 2, * , 陈靖扬1, 2, 龚宇1, 2, 沈劲3
作者信息
  • 1.广东省生态气象中心(珠三角环境气象预报预警中心),广东 广州 510640
  • 2.广东省南岭森林大气环境与碳中和野外科学观测研究站,广东 广州 511443
  • 3.广东省生态环境监测中心,生态环境部区域空气质量监测重点实验室,广东省环境保护大气二次污染研究重点实验室,广东 广州 510308
通讯作者:
* 责任作者,高级工程师,
作者简介:

王俊彬(1996-),男,广东揭阳人,工程师,博士,主要研究方向为污染气象学、气候学.发表论文11篇..

Synoptic mechanisms analysis and prediction model development for ozone pollution triggered by approaching tropical cyclones in the Guangdong-Hong Kong-Macao Greater Bay Area
Jun-bin WANG1, 2 , Ting-yuan LI1, 2, * , Jing-yang CHEN1, 2, Yu GONG1, 2, Jin SHEN3
Affiliations
  • 1.Guangdong Ecological Meteorological Center, Pearl River Delta Center for Environmental Meteorology Prediction and Warning, Guangzhou 510640, China
  • 2.Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou 511443, China
  • 3.Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Key Laboratory of Regional Air Quality Monitoring of Ministry of Ecology and Environment, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China
出版时间: 2026-03-20
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基于2014~2024年热带气旋资料、再分析资料和臭氧监测数据,分析了临近热带气旋引发粤港澳大湾区臭氧污染的气象成因,并借助Spearman秩相关系数和随机森林回归方法构建了预报模型.结果表明:引发粤港澳大湾区臭氧污染的临近热带气旋主要分布在距离270~1758km的范围内,并且在台湾岛和吕宋岛一线的东西两侧呈现明显的强度差异,东侧的气旋强度均在台风级以上,而西侧的气旋强度在热带低压到强台风级之间.临近气旋通过外围高层的下沉气流,导致粤港澳大湾区云量减少,向下短波辐射增强,地面气温偏高,而相对湿度、降水和风速偏低,进而引发臭氧污染.SOM聚类分析发现,临近热带气旋在粤港澳大湾区会引发西南角污染型、大范围污染型、西部污染型和东北部污染型四种臭氧浓度分布,各种浓度分布与不同地面风场的传输和辐合作用有关.粤港澳大湾区11个地市的臭氧浓度与热带气旋的特征(七级风圈半径和临近率)有较好的相关性,此外还与地面气象要素(海陆风向差和海陆经向风速差等)和高空气象要素(200hPa垂直速度、700hPa经向风、700hPa比湿和925hPa纬向风等)显著相关.基于热带气旋特征及地面和高空气象要素共18个因子构建的预报模型具有较高的泛化性和准确性,模型预报值与实际监测值的平均相关系数达到0.811,平均均方根误差为30.2μg/m3,平均臭氧等级TS评分为0.668.

热带气旋  /  粤港澳大湾区  /  臭氧污染  /  气象成因  /  随机森林

Based on tropical cyclone (TC) data, reanalysis data, and ozone monitoring data from 2014 to 2024, the synoptic mechanism by which approaching tropical cyclones (ATCs) trigger ozone pollution in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was analyzed. A prediction model was developed using Spearman's rank correlation coefficient and the random forest regression method. The results indicated that: ATCs inducing ozone pollution in the GBA were primarily distributed within a range of 270~1758km, and a clear disparity in intensity was observed on the eastern and western sides of the line connecting Taiwan Island and Luzon Island. The ATCs east of the line all reach typhoon intensity or above, while those west range from tropical depression to severe typhoon intensity. Ozone pollution was induced by ATCs through the generation of subsiding airflows in upper levels, which reduces cloud cover over the GBA, increases downward shortwave radiation, elevates surface temperatures, and reduces relative humidity, precipitation and wind speed. Through SOM clustering analysis, four ozone pollution distribution patterns triggered by ATCs in the GBA were identified: the southwestern pollution pattern, the widespread pollution pattern, the western pollution pattern, and the northeastern pollution pattern. These patterns are associated with the transport and convergence effects of different surface wind fields. Ozone concentrations in the 11cities of the GBA were found to correlate well with tropical cyclone characteristics (radius of 7-level wind circle and proximity rate), as well as significant correlations with surface meteorological factors (such as land-sea wind direction difference and land-sea meridional wind speed difference) and upper-air meteorological factors (such as 200 hPa vertical velocity, 700 hPa meridional wind, 700 hPa specific humidity, and 925 hPa zonal wind). The forecasting model constructed based on 18factors, including tropical cyclone characteristics and surface and upper-air meteorological elements, demonstrates high generalizability and accuracy. The average correlation coefficient between the model's forecast values and the actual monitoring values reached 0.811, the average root mean square error was 30.2μg/m3, and the average TS score for ozone level prediction was 0.668.

tropical cyclone  /  the Guangdong-Hong Kong-Macao Greater Bay Area  /  ozone pollution  /  synoptic mechanisms  /  random forest model
王俊彬, 李婷苑, 陈靖扬, 龚宇, 沈劲. 临近热带气旋引发粤港澳大湾区臭氧污染的气象成因分析及预报模型构建. 中国环境科学, 2026 , 46 (3) : 1202 -1215 .
Jun-bin WANG, Ting-yuan LI, Jing-yang CHEN, Yu GONG, Jin SHEN. Synoptic mechanisms analysis and prediction model development for ozone pollution triggered by approaching tropical cyclones in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. China Environmental Science, 2026 , 46 (3) : 1202 -1215 .
  • 广东省基础与应用基础研究基金项目(2023A1515110536)
  • 广东省科技计划项目(2024B1212040006)
  • 中国气象局青年创新团队项目(CMA2023QN13)
  • 广东省气象局科学技术研究项目(GRMC2023Q37; GRMC2025M09)
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2026年第46卷第3期
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  • 接收时间:2025-08-22
  • 首发时间:2026-10-08
  • 出版时间:2026-03-20
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  • 收稿日期:2025-08-22
基金
广东省基础与应用基础研究基金项目(2023A1515110536)
广东省科技计划项目(2024B1212040006)
中国气象局青年创新团队项目(CMA2023QN13)
广东省气象局科学技术研究项目(GRMC2023Q37; GRMC2025M09)
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    1.广东省生态气象中心(珠三角环境气象预报预警中心),广东 广州 510640
    2.广东省南岭森林大气环境与碳中和野外科学观测研究站,广东 广州 511443
    3.广东省生态环境监测中心,生态环境部区域空气质量监测重点实验室,广东省环境保护大气二次污染研究重点实验室,广东 广州 510308

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