Article(id=1314918387348763073, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, 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=1744300800000, receivedDateStr=2025-04-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430573546, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430573546, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430573546, creator=13701087609, updateTime=1791430573546, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6032, endPage=6044, ext={EN=ArticleExt(id=1314918387617198530, articleId=1314918387348763073, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Exploring the drivers of PM_2.5-O₃ spatial differentiation in 274 Chinese prefecture-level cities, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

In this study, based on the urban statistical yearbook and multi-source remote sensing data—including pollutant concentrations, nighttime light intensity, and land cover—the spatiotemporal distribution characteristics of PM_2.5-O₃ compound pollution across 274 prefecture-level cities in China were examined from an integrated perspective of meteorological, socioeconomic, and urban form factors. The results showed that from 2005 to 2020, PM_2.5 concentrations in Chinese cities followed a 'rise-then-fall' trend, while O₃ exhibited a 'rise-fall- rise' trend. Both the spatial distribution and the synergistic relationship between PM_2.5 and O₃ displayed pronounced regional heterogeneity. High PM_2.5 concentrations were mainly concentrated in the North China Plain, whereas high O₃ concentrations occurred in both the North China Plain and the eastern coastal urban agglomerations. Positive correlations between PM_2.5 and O₃ concentrations were predominant in the humid regions of southern and northeastern China, while negative correlations were more common in the semi-humid and semi-arid regions of northern China. Geodetector analysis revealed that the spatial differentiation drivers of PM_2.5 and O₃ concentrations was primarily shaped by urban form factors, followed by meteorological and socioeconomic conditions. Specifically, PM_2.5 concentrations were strongly influenced by the proportion of ecological space (q=0.627) and agricultural land (q=0.610), whereas O₃ concentrations were significantly affected by the proportion of ecological space (q=0.512) and topography (q = 0.466). The synergistic relationship between PM_2.5 and O₃ was mainly controlled by the single factors such as precipitation (q=0.396) and temperature (q=0.374), with significant enhancement observed under dual-factor interactions, such as temperature-topography (q=0.718) and precipitation-Shannon's evenness index (q=0.708). These findings highlight the nonlinear synergistic effects arising from the coupling of 'urban form constraints' and 'meteorological disturbances' on PM_2.5-O₃ compound pollution, and provide a scientific basis for the precise and coordinated prevention and control of such pollution.

, authors=Bin ZOU¹, Man-man XIE¹, Sha LI^{1, 2, *}, Ning LIU³, Shen-xin LI¹, Ying XIONG⁴, authorsList=Bin ZOU, Man-man XIE, Sha LI, Ning LIU, Shen-xin LI, Ying XIONG, authorCompany=null, correspAuthors=Sha 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=1314918387898216899, articleId=1314918387348763073, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=中国274个地级市PM_2.5-O₃浓度空间分异的驱动因素解析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

结合城市统计年鉴与多源遥感数据（包括污染物浓度、夜间灯光、土地覆盖等）,从气象、社会经济和城市形态多要素综合视角,解析中国274个地级市PM_2.5-O₃复合污染时空分布特征.结果表明:2005~2020年,中国城市PM_2.5浓度呈“先升后降”趋势,而O₃浓度则经历了升高、下降再升高的过程.两者的空间分布及协同关系均呈现显著的区域异质性,PM_2.5高值区主要集中在华北平原,O₃高值区分布于华北平原和东部沿海城市群,PM_2.5~O₃在南方及东北湿润地区多呈正相关,在北方半湿润半干旱地区多呈负相关.地理探测器分析显示,城市尺度PM_2.5和O₃浓度空间分异驱动因子排序均呈现出城市形态>气象>社会经济要素.其中PM_2.5浓度主要受生态空间占比（q=0.627）和农业空间占比（q=0.610）驱动,O₃浓度则受生态空间占比（q=0.512）和地形（q=0.466）影响显著.PM_2.5-O₃协同关系受降水（q=0.396）和温度（q=0.374）等单因子主导驱动,且在温度-地形（q=0.718）、降水-均匀度（q=0.708）等双因子的交互作用下呈现显著增强,表明了“城市形态约束”与“气象条件扰动”对城市PM_2.5-O₃复合污染显著的非线性协同效应.本研究可为PM_2.5-O₃复合污染精准协同防控提供科学依据.

, authors=邹滨¹, 谢曼曼¹, 李莎^{1, 2, *}, 刘宁³, 李沈鑫¹, 熊鹰⁴, authorsList=邹滨, 谢曼曼, 李莎, 刘宁, 李沈鑫, 熊鹰, authorCompany=null, correspAuthors=李莎, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=q3qM4TWH4ht2zKm1zW9vvQ==, magXml=PQQuJChTPVSEa2eTlCuuMg==, pdfUrl=null, pdf=WZvTBUBft2HDXgGHAExc8Q==, pdfFileSize=4183168, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=wEBtm5RFCpGFM8VMTYV8gg==, mapNumber=null, fund=null)}, authors=[Author(id=1314918389966008785, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918387348763073, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=210010@csu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918390054089171, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918387348763073, authorId=1314918389966008785, language=EN, stringName=Bin ZOU, firstName=Bin, middleName=null, lastName=ZOU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Geosciences and Info-physics, Central South University, Changsha 410083, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918390129586644, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918387348763073, authorId=1314918389966008785, language=CN, stringName=邹滨, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中南大学地球科学与信息物理学院，湖南 长沙 410083, bio={"content":"

邹滨（1981-），男，湖南常德人，教授，主要从事环境污染遥感诊断与时空建模研究．发表论文100余篇．210010@csu.edu.cn.

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邹滨（1981-），男，湖南常德人，教授，主要从事环境污染遥感诊断与时空建模研究．发表论文100余篇．210010@csu.edu.cn.

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