Article(id=1314917843464970607, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, 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=1736179200000, receivedDateStr=2025-01-07, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430443874, onlineDateStr=2026-10-08, pubDate=1755619200000, pubDateStr=2025-08-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430443874, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430443874, creator=13701087609, updateTime=1791430443874, updator=13701087609, issue=Issue{id=1314917704910340427, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='8', pageStart='4145', pageEnd='4736', issueExtLink='null', onlineDate='null', pubDate='1755619200000', pubDateStr='2025-08-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430410840, creator='13701087609', updateTime=1791431909627, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923991341555972, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923991345750277, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917704910340427, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4152, endPage=4162, ext={EN=ArticleExt(id=1314917843695657328, articleId=1314917843464970607, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Characteristics and source analysis of VOCs concentration in a typical petrochemical parks in Northwest China, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

To clarify the concentration characteristics and sources of volatile organic compounds (VOCs) in a typical northwestern petrochemical park during summer, continuous monitoring of 116 VOCs was conducted from June to July 2024. The measured VOC (MVOCs) concentrations were obtained, and the initial VOC (InVOCs) and consumed VOC (CVOCs) concentrations were calculated. Whereafter, the positive matrix factorization (PMF) was used to analyze the sources of MVOCs and InVOCs, the principal component analysis (PCA) was employed to identify the sources of CVOCs, and the contribution of the major factors of each VOC source to ozone (O3) formation was also calculated. The results indicated that during the observation period, oxygenated VOCs (OVOCs) and alkanes exhibited the highest concentration contributions among both the measured total VOCs (M-TVOC) and the initial total VOCs (In-TVOC), with a diurnal variation characterized by bimodal peaks in the morning and evening. The consumed total VOCs (C-TVOC) exhibited a strong correlation (r = 0.89) with the diurnal variation of O3 concentrations, with alkenes and OVOCs being the dominant contributing species. Among the top ten ozone formation potential (OFP) species for all three VOCs categories, alkenes and aldehydes were predominant. .The sources of MVOCs and InVOCs were ranked as follows: petrochemical sources > combustion sources > vehicle emissions > biogenic emissions > solvent utilization sources.. As for CVOCs, the sources were identified aspetrochemical sources (51.1%) > gasoline evaporation (26.0%) > biogenic emissions (18.2%) > solvent utilization sources (4.8%). Among these, petrochemical sources were identified as the largest contributor to O3formation. The results indicated that reducing emissions from petrochemical sources, combustion sources, and vehicle emissions is an effective strategy for controlling summer VOCs around the park. Additionally, cutting emissions from petrochemical sources and solvent utilization sources can significantly decrease the contribution of VOCs to O3 formation.

, authors=Xiao-qian CAI, Hong YANG*, Xue-ting LIU, Shu-su WANG, Yu-qin WAN, Feng PAN, authorsList=Xiao-qian CAI, Hong YANG, Xue-ting LIU, Shu-su WANG, Yu-qin WAN, Feng PAN, authorCompany=null, correspAuthors=Hong YANG, 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=1314917844073144689, articleId=1314917843464970607, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=西北典型炼化园区VOCs浓度特征及来源分析, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

为明确西北典型炼化园区夏季挥发性有机物(VOCs)浓度特征及来源,于2024年6~7月对116种VOCs开展连续监测,得到观测VOCs(MVOCs)浓度,并计算得到初始VOCs(InVOCs)及消耗VOCs(CVOCs)浓度,进而利用正定矩阵因子分解方法(PMF)分析MVOCs、InVOCs来源,利用主成分分析法(PCA)分析CVOCs来源,计算各VOCs来源主因子对臭氧(O3)浓度生成的贡献.结果表明,观测期间观测总挥发性有机物(M-TVOC)和初始总挥发性有机物(In-TVOC)中,含氧VOC(OVOCs)与烷烃的浓度占比均为最高,日变化呈早、晚双峰的特征;消耗总挥发性有机物(C-TVOC)浓度与O3浓度日变化相关性达0.89,其中烯烃、OVOCs浓度占比最高;3种VOCs臭氧生成潜势(OFP)前10位物种均以烯烃和醛类为主;MVOCs和InVOCs来源及排序为:石油化工源>燃烧源>机动车排放源>植物排放源>溶剂使用源,CVOCs来源及排序为:石油化工源(51.1%)>汽油挥发源(26.0%)>植物排放源(18.2%)>溶剂使用源(4.8%);石油化工源是对O3浓度生成的最大贡献源项.研究显示,减少石油化工源、燃烧源、机动车排放源排放是控制该园区周边夏季VOCs的有效措施,而减少石油化工源、溶剂使用源排放则是抑制VOCs排放对O3生成贡献的有效手段.

, authors=蔡晓倩, 杨宏*, 刘雪婷, 王书苏, 万雨勤, 潘峰, authorsList=蔡晓倩, 杨宏, 刘雪婷, 王书苏, 万雨勤, 潘峰, authorCompany=null, correspAuthors=杨宏, authorNote=

蔡晓倩(2001-),女,广东广州人,硕士研究生,主要从事大气污染、大气环境等方面研究.发表论文1篇..

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* 责任作者,高级工程师,
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蔡晓倩(2001-),女,广东广州人,硕士研究生,主要从事大气污染、大气环境等方面研究.发表论文1篇..

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蔡晓倩(2001-),女,广东广州人,硕士研究生,主要从事大气污染、大气环境等方面研究.发表论文1篇..

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西北典型炼化园区VOCs浓度特征及来源分析
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蔡晓倩 , 杨宏 * , 刘雪婷 , 王书苏 , 万雨勤 , 潘峰
中国环境科学 | 臭氧污染与控制 2025,45(8): 4152-4162
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中国环境科学 |臭氧污染与控制 2025 , 45 (8) : 4152 -4162
西北典型炼化园区VOCs浓度特征及来源分析
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蔡晓倩 , 杨宏* , 刘雪婷, 王书苏, 万雨勤, 潘峰
作者信息
  • 兰州大学大气科学学院,甘肃 兰州 730000
通讯作者:
* 责任作者,高级工程师,
作者简介:

蔡晓倩(2001-),女,广东广州人,硕士研究生,主要从事大气污染、大气环境等方面研究.发表论文1篇..

Characteristics and source analysis of VOCs concentration in a typical petrochemical parks in Northwest China
Xiao-qian CAI , Hong YANG* , Xue-ting LIU, Shu-su WANG, Yu-qin WAN, Feng PAN
Affiliations
  • College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
出版时间: 2025-08-20
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为明确西北典型炼化园区夏季挥发性有机物(VOCs)浓度特征及来源,于2024年6~7月对116种VOCs开展连续监测,得到观测VOCs(MVOCs)浓度,并计算得到初始VOCs(InVOCs)及消耗VOCs(CVOCs)浓度,进而利用正定矩阵因子分解方法(PMF)分析MVOCs、InVOCs来源,利用主成分分析法(PCA)分析CVOCs来源,计算各VOCs来源主因子对臭氧(O3)浓度生成的贡献.结果表明,观测期间观测总挥发性有机物(M-TVOC)和初始总挥发性有机物(In-TVOC)中,含氧VOC(OVOCs)与烷烃的浓度占比均为最高,日变化呈早、晚双峰的特征;消耗总挥发性有机物(C-TVOC)浓度与O3浓度日变化相关性达0.89,其中烯烃、OVOCs浓度占比最高;3种VOCs臭氧生成潜势(OFP)前10位物种均以烯烃和醛类为主;MVOCs和InVOCs来源及排序为:石油化工源>燃烧源>机动车排放源>植物排放源>溶剂使用源,CVOCs来源及排序为:石油化工源(51.1%)>汽油挥发源(26.0%)>植物排放源(18.2%)>溶剂使用源(4.8%);石油化工源是对O3浓度生成的最大贡献源项.研究显示,减少石油化工源、燃烧源、机动车排放源排放是控制该园区周边夏季VOCs的有效措施,而减少石油化工源、溶剂使用源排放则是抑制VOCs排放对O3生成贡献的有效手段.

VOCs来源  /  新污染物  /  PMF  /  PCA  /  OFP  /  SHAP

To clarify the concentration characteristics and sources of volatile organic compounds (VOCs) in a typical northwestern petrochemical park during summer, continuous monitoring of 116 VOCs was conducted from June to July 2024. The measured VOC (MVOCs) concentrations were obtained, and the initial VOC (InVOCs) and consumed VOC (CVOCs) concentrations were calculated. Whereafter, the positive matrix factorization (PMF) was used to analyze the sources of MVOCs and InVOCs, the principal component analysis (PCA) was employed to identify the sources of CVOCs, and the contribution of the major factors of each VOC source to ozone (O3) formation was also calculated. The results indicated that during the observation period, oxygenated VOCs (OVOCs) and alkanes exhibited the highest concentration contributions among both the measured total VOCs (M-TVOC) and the initial total VOCs (In-TVOC), with a diurnal variation characterized by bimodal peaks in the morning and evening. The consumed total VOCs (C-TVOC) exhibited a strong correlation (r = 0.89) with the diurnal variation of O3 concentrations, with alkenes and OVOCs being the dominant contributing species. Among the top ten ozone formation potential (OFP) species for all three VOCs categories, alkenes and aldehydes were predominant. .The sources of MVOCs and InVOCs were ranked as follows: petrochemical sources > combustion sources > vehicle emissions > biogenic emissions > solvent utilization sources.. As for CVOCs, the sources were identified aspetrochemical sources (51.1%) > gasoline evaporation (26.0%) > biogenic emissions (18.2%) > solvent utilization sources (4.8%). Among these, petrochemical sources were identified as the largest contributor to O3formation. The results indicated that reducing emissions from petrochemical sources, combustion sources, and vehicle emissions is an effective strategy for controlling summer VOCs around the park. Additionally, cutting emissions from petrochemical sources and solvent utilization sources can significantly decrease the contribution of VOCs to O3 formation.

VOCs source  /  new pollutants  /  PMF  /  PCA  /  OFP  /  SHAP
蔡晓倩, 杨宏, 刘雪婷, 王书苏, 万雨勤, 潘峰. 西北典型炼化园区VOCs浓度特征及来源分析. 中国环境科学, 2025 , 45 (8) : 4152 -4162 .
Xiao-qian CAI, Hong YANG, Xue-ting LIU, Shu-su WANG, Yu-qin WAN, Feng PAN. Characteristics and source analysis of VOCs concentration in a typical petrochemical parks in Northwest China[J]. China Environmental Science, 2025 , 45 (8) : 4152 -4162 .
  • 国家自然科学基金资助项目(42375136)
  • 甘肃省技术开发项目(0076938)
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  • 接收时间:2025-01-07
  • 首发时间:2026-10-08
  • 出版时间:2025-08-20
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  • 收稿日期:2025-01-07
基金
国家自然科学基金资助项目(42375136)
甘肃省技术开发项目(0076938)
作者信息
    兰州大学大气科学学院,甘肃 兰州 730000

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* 责任作者,高级工程师,
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