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Given the ozone (O₃) pollution events in the Pearl River Delta (PRD) region frequently occur in autumn and the increasing application of objective weather classification methods in urban agglomeration pollution studies, this study employed the Self-Organizing Map (SOM) method to classify the sea level pressure fields in the PRD and to investigate the impacts of different weather patterns on severe autumn O₃ pollution. The results indicated that 15weather patterns identified from sea level pressure fields could be categorized into four groups based on O₃ pollution levels: heavy pollution, moderate pollution, light pollution, and clean. Among them, heavy and moderate pollution weather patterns exhibited distinct seasonal distributions, with the weak cold high-pressure combined with typhoon and subtropical high pattern (T12) (The average O₃ concentration was 118.2 μg/m³, with an exceedance rate of 22.4%) was associated with the most severe O₃ pollution. Autumn O₃ exceedance days under heavy pollution patterns were generally accompanied by high solar radiation (554.1kJ/m² above the mean), high temperature (3.1℃ above the mean), and low relative humidity (9.2% below the mean), which were highly favorable for O₃ formation. Using the circulation field of heavy pollution weather patterns with autumn O₃ exceedance day as a reference, the study found that the number of days favorable for O₃ exceedance during 2015~2024 was significantly correlated with autumn O₃ concentration. Furthermore, the number of favorable days under similar circulation conditions showed a significant increasing trend during 1995~2060 (with an average growth rate of 0.14d/a).

, authors=Yun-wei LI¹, Yan-xing WU¹, Jing-wen ZHANG¹, Run LIU^{1, 2, *}, authorsList=Yun-wei LI, Yan-xing WU, Jing-wen ZHANG, Run LIU, authorCompany=null, correspAuthors=Run LIU, 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=1314922987728494709, articleId=1314922987145486451, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于SOM方法的珠三角秋季臭氧污染天气型特征分析, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于珠三角地区臭氧（O₃）污染事件呈秋季高发的特征，结合近年来客观天气分型方法在城市群污染分析中的应用，利用自组织映射神经网络（SOM）方法对珠三角海平面气压场进行客观天气分型，并探讨不同天气型对O₃严重污染的影响．结果表明，基于海平面气压场划分的15种天气型可按照O₃污染程度归为4类（重污染型、中污染型、轻污染型和清洁型），其中重污染与中污染天气型具有显著的季节分布特征．弱冷高压叠加台风副高型（T12）（O₃平均浓度为118.2μg/m³，O₃超标率为22.4%）对应最严重的O₃污染．秋季O₃超标日对应的重污染天气型通常伴随高太阳辐射（较均值高554.1kJ/m²）、高温（较均值高3.1℃）和低湿（较均值低9.2%）等气象条件，极有利于O₃生成．以秋季出现O₃超标天下的重污染天气型环流场为基准进行识别发现，2015~2024年有利于发生O₃超标的识别日数与秋季O₃浓度呈显著正相关，且1995~2060年类似基准场下有利于发生O₃超标的识别日数呈显著上升趋势（年均增加0.14d）．

, authors=李韵唯¹, 吴燕星¹, 张靖雯¹, 刘润^{1, 2, *}, authorsList=李韵唯, 吴燕星, 张靖雯, 刘润, authorCompany=null, correspAuthors=刘润, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=MS2sipwMQg8xYFBNVjm0qA==, magXml=fTqMVJdlrCNbzf9eEUUarw==, pdfUrl=null, pdf=txxrIP/mXwqsBV1bxh/KTg==, pdfFileSize=3753226, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=CaN4UUNPPENeBKk9F9UaHw==, mapNumber=null, fund=null)}, authors=[Author(id=1314922988177285245, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922987145486451, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1043454971@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314922988248588415, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922987145486451, authorId=1314922988177285245, language=EN, stringName=Yun-wei LI, firstName=Yun-wei, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.College of Environmental and Climate Research, Jinan University, Guangzhou 511443, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314922988311502976, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922987145486451, authorId=1314922988177285245, language=CN, stringName=李韵唯, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.暨南大学环境与气候学院，广东 广州 511443, bio={"content":"

李韵唯（2001-），女，山东济宁人，暨南大学硕士研究生，主要研究方向为天气型对臭氧污染的影响．发表论文1篇．1043454971@qq.com.

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李韵唯（2001-），女，山东济宁人，暨南大学硕士研究生，主要研究方向为天气型对臭氧污染的影响．发表论文1篇．1043454971@qq.com.

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