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Based on the chemical components in PM_2.5 and meteorological data from the online monitoring of Zibo Super Station, relevant analyses were conducted for the PM_2.5 pollution period from December 25^th, 2023 to January 6^th, 2024. The results showed that during the observation period, the average concentration of PM_2.5 was (133±67) μg/m³, and the average proportion of secondary inorganic ions (NO₃^-,SO₄^2- and NH₄⁺) was 58.3%. Among them, the concentration of NO₃^- was the highest, accounting for 26.9%. The average values of the sulfur oxidation ratio and nitrogen oxidation ratio were 0.46 and 0.29, respectively, both greater than 0.1, indicating that there was an obvious secondary formation process of SO₄^2- and NO₃^- during this pollution process. The formation of NO₃^- was mainly limited by HNO₃, and the heterogeneous reaction under high-humidity conditions was the main pathway for its formation. The Positive Matrix Factorization (PMF) model identified six main sources of PM_2.5, namely secondary nitrates (30.2%), secondary sulfates (26.8%), coal burning sources (18.4%), motor vehicle sources (15.3%), industrial sources (5.3%), and dust sources (4.0%). Concentration Weighted Trajectory (CWT) analysis further revealed the main contribution path areas of sources with a relatively large contribution to PM_2.5, such as secondary nitrates, which were mainly from the local area and surrounding cities.

, authors=Wei SUN^{1, 2}, Wen-yu BAI^{2, *}, Bo XU³, Jian WANG², Yan-hui LIU², Xiao-li WANG^{1, **}, Chun-mei GENG², Wen YANG², authorsList=Wei SUN, Wen-yu BAI, Bo XU, Jian WANG, Yan-hui LIU, Xiao-li WANG, Chun-mei GENG, Wen YANG, authorCompany=null, correspAuthors=Wen-yu BAI, Xiao-li WANG, 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=1314917885374456451, articleId=1314917884577538689, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=2023年年末淄博市一次PM_2.5重污染过程特征和成因分析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于淄博超站在线监测的PM_2.5中化学组分及气象数据对2023年12月25日至2024年1月6日期间的PM_2.5污染过程进行了相关分析．结果表明：观测期间PM_2.5的平均浓度为（133±67）μg/m³，二次无机离子（NO₃^-、SO₄^2-和NH₄⁺）占比均值为58.3%，其中NO₃^-的浓度最高，占比为26.9%；硫氧化率和氮氧化率均值分别为0.46和0.29，均大于0.1，表明本次污染过程中存在明显的SO₄^2-和NO₃^-的二次生成过程；NO₃^-的形成主要受HNO₃的限制，而高湿环境下的非均相反应是其形成的主要途径；正定矩阵因子模型确定了PM_2.5的6个主要来源，分别是二次硝酸盐（30.2%）、二次硫酸盐（26.8%）、燃煤源（18.4%）、机动车源（15.3%）、工业源（5.3%）和扬尘源（4.0%），浓度权重分析进一步揭示了对PM_2.5贡献占比较大的来源，比如二次硝酸盐等的主要贡献路径区域是本地和周边城市．

, authors=孙维^{1, 2}, 白雯宇^{2, *}, 徐勃³, 王健², 刘妍慧², 王晓丽^{1, **}, 耿春梅², 杨文², authorsList=孙维, 白雯宇, 徐勃, 王健, 刘妍慧, 王晓丽, 耿春梅, 杨文, authorCompany=null, correspAuthors=白雯宇, 王晓丽, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=C1hI7C9p536gPFqRmM331Q==, magXml=OtL0yveQiHRZX6o8BfTCQg==, pdfUrl=null, pdf=eR60qfec8ksPRmqrKloOxg==, pdfFileSize=4434789, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=7J8z6J2b/Ga98TEIaFY3rQ==, mapNumber=null, fund=null)}, authors=[Author(id=1314917887396110990, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917884577538689, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=sunweiyaonuli@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917887513551506, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917884577538689, authorId=1314917887396110990, language=EN, stringName=Wei SUN, firstName=Wei, middleName=null, lastName=SUN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.School of Environmental Science and safety Engineering, Tianjin University of Technology, Tianjin 300384, China
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孙维（2000-），男，内蒙古包头人，硕士研究生，主要研究方向为PM_2.5污染成因．sunweiyaonuli@163.com.

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孙维（2000-），男，内蒙古包头人，硕士研究生，主要研究方向为PM_2.5污染成因．sunweiyaonuli@163.com.

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