Article(id=1314918509629505642, 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=1744128000000, receivedDateStr=2025-04-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430602700, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430602700, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430602700, creator=13701087609, updateTime=1791430602700, 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=6480, endPage=6490, ext={EN=ArticleExt(id=1314918511416279147, articleId=1314918509629505642, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Research on the ozone pollution characteristics and emission reduction strategies in a typical steel industry city, columnId=1234106390126588740, journalTitle=China Environmental Science, columnName=Carbon Emission Control, runingTitle=null, highlight=null, articleAbstract=

This study focused on Handan, a representative steel industry city, where the characteristics of ozone pollution were systematically analyzed based on atmospheric pollutant and meteorological data from 2014 to 2023. The Random Forest model was utilized to investigate the correlation between key meteorological factors and O₃ concentrations, as well as their relative contributions. Furthermore, the WRF-CAMx model, combined with the EKMA curve method, was employed to examine O₃ formation sensitivity and corresponding precursor emission reduction strategies in different districts. The results indicated that the monthly average O₃-8h concentration exhibited distinct seasonal variations (summer > spring > autumn > winter), with the highest levels of exceedance occurring between June and July. Hourly O₃ concentrations followed a unimodal trend, which peaked between 15:00 and 16:00. Correlation analysis revealed that relative humidity (RH), solar radiation (SR), and temperature (T) were significantly correlated with O₃ concentrations, with correlation coefficients of -0.69, 0.68, and 0.58, respectively. Their relative contributions were determined to be (24.90±2.41)%, (18.66±2.30)%, and (25.56±2.02)%. It was found that O₃ pollution was more likely to occur when T > 30℃ and 36% < RH < 56%. The O₃ control zone analysis showed that Handan’s central and western areas were VOCs-controlled, with an optimal VOCs-to- NO_x emission reduction ratio of 1.5:1. The eastern districts were identified as NO_x-controlled, while other areas required coordinated control of both VOCs and NO_x, with an optimal reduction ratio of 1:1.5. These findings provided a scientific basis and policy recommendations for the emission reduction and control of O₃ pollution in industrial cities.

, authors=Xiao-song HOU¹, Shui-yuan CHENG^{1, *}, Xiao XIAO¹, Yuan-ning LI², Xiao-li LIU¹, authorsList=Xiao-song HOU, Shui-yuan CHENG, Xiao XIAO, Yuan-ning LI, Xiao-li LIU, authorCompany=null, correspAuthors=Shui-yuan CHENG, 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=1314918511638577260, articleId=1314918509629505642, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=典型钢铁工业城市O₃污染特征及减排策略研究, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

以典型钢铁工业城市邯郸市为对象,基于2014~2023年大气污染物和气象数据,系统分析了邯郸市O₃污染特征,通过应用随机森林模型,探讨了主要气象要素与邯郸市O₃浓度的相关性及其相对贡献,并采用WRF-CAMx模型结合EKMA曲线法研究了各区县O₃生成敏感性及其前体物减排策略.研究结果表明,邯郸市O₃-8h月均浓度呈明显季节性,表现为夏季>春季>秋季>冬季,浓度超标情况主要集中于6~7月,逐小时O₃平均浓度呈单峰型趋势,15:00~16:00时段达到峰值.O₃浓度与气象要素的相关性分析结果显示,相对湿度（RH）、太阳辐射（SR）和气温（T）与O₃浓度相关系数分别为-0.69、0.68和0.58,其相对贡献率分别为（24.90±2.41）%、（18.66±2.30）%和（25.56±2.02）%.当T>30℃和36%<RH<56%时,易出现O₃污染.O₃主控区结果显示,邯郸市主城区及中西部地区为VOCs控制区,VOCs与NO_x的最佳减排比例为1.5:1;东部三区县为NO_x控制区,其余地区为VOCs与NO_x协同控制区,VOCs与NO_x的最佳减排比例为1:1.5.研究结果为工业城市O₃污染的减排调控提供了科学的数据支撑和政策建议.

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侯晓松（1995-），男，河北衡水人，北京工业大学博士研究生，主要研究方向为区域空气质量管理与调控;减污降碳协同控制;大气污染与气候变化协同应对.发表论文10余篇．houxs@emails.bjut.edu.cn.

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侯晓松（1995-），男，河北衡水人，北京工业大学博士研究生，主要研究方向为区域空气质量管理与调控;减污降碳协同控制;大气污染与气候变化协同应对.发表论文10余篇．houxs@emails.bjut.edu.cn.

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