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Climate change and atmospheric pollution represent two critical environmental challenges facing the world today, and the development of high-accuracy emission inventories serves as the scientific foundation for addressing these challenges. Based on the Web of Science database, this study employs a comprehensive approach integrating scientometric mapping and text mining techniques to systematically analyze the thematic distribution, institutional landscape, and collaborative network characteristics within the global emission inventory research domain. The findings reveal a significant growth trend in publication output over the past decades, with a notable leap cycle of approximately ten years. The research themes encompass 26key topics, including transportation emissions, particulate matter pollution, and climate change mitigation, and span across industrial sectors, emission species, and modeling methodologies, as well as specific processes and impact analyses. Research institutions from China, the United States, France, Germany, and other countries have played leading roles in advancing the field, forming a differentiated and diversified research landscape while establishing international collaboration networks with distinct geographical clustering effects. The analysis demonstrates strong interconnections among research themes, with topics such as particulate matter pollution, air quality modeling, and volatile organic compounds showing significant potential in facilitating knowledge integration across different emission inventories. Future research efforts should prioritize (1) establishing a unified classification system for emission inventories, (2) optimizing emission inventory validation methods, (3) promoting transparency and open access to emission data, and (4) strengthening multinational collaboration and information-sharing mechanisms. These measures are essential for synergistically advancing the scientific foundation and practical application of both air pollutant and greenhouse gas emission inventories.

, authors=Yu BO¹, Hong ZHOU², Zi-mu JIA³, Qian TANG⁴, Chen-xi XU^{5, 6}, Ke-bin HE⁷, Cheng TAO^{2, *}, authorsList=Yu BO, Hong ZHOU, Zi-mu JIA, Qian TANG, Chen-xi XU, Ke-bin HE, Cheng TAO, authorCompany=null, correspAuthors=Cheng TAO, 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=1314922148699922548, articleId=1314922148125302898, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=全球大气污染物和温室气体融合排放清单研究趋势分析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

气候变化与大气污染是当今全球面临的两大关键环境挑战，构建高精度排放清单是应对这些挑战的科学基础．基于Web of Science数据库，综合运用科学知识图谱和文本挖掘技术，系统解析了全球排放清单研究领域的主题分布、机构格局及合作网络特征．研究发现，该领域发文量在过去数10a间呈现显著增长态势，并表现出约10a周期的跃升特征．研究主题涵盖交通运输排放、颗粒物污染、气候变化减缓等26个主题，涉及行业部门、排放物种、模型方法以及特定过程和影响分析．中国、美国、法国、德国等国的研究机构在领域发展中发挥引领作用，形成了差异化、多元化的研究格局，并构建了具有显著地理集聚效应的国际合作网络．分析揭示，研究主题间存在紧密关联，其中颗粒物污染、空气质量模型、挥发性有机化合物等主题在促进不同排放清单间的知识融合方面已显现出重要作用．未来研究的重点应聚焦于：构建统一的排放清单分类体系、优化排放清单校验方法、推动排放数据公开透明化、以及深化跨国协作与信息共享机制，以期协同推进大气污染物和温室气体排放清单的科学基础与应用效能．

, authors=薄宇¹, 周洪², 贾紫牧³, 唐倩⁴, 徐晨曦^{5, 6}, 贺克斌⁷, 陶诚^{2, *}, authorsList=薄宇, 周洪, 贾紫牧, 唐倩, 徐晨曦, 贺克斌, 陶诚, authorCompany=null, correspAuthors=陶诚, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=8gz5CoiedgsHoqd0+iOBEA==, magXml=a2RSWXwIlUHlLo+9L4aIOw==, pdfUrl=null, pdf=8T3+pRuijTkGktQQnYjtUg==, pdfFileSize=4408560, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Mz+gAdPaXnbnYa6+fk/qtg==, mapNumber=null, fund=null)}, authors=[Author(id=1314922149517811852, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922148125302898, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=boyu@mail.iap.ac.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314922149580726414, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922148125302898, authorId=1314922149517811852, language=EN, stringName=Yu BO, firstName=Yu, middleName=null, lastName=BO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Temperate East Asia Research Center on Global Change, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314922149652029583, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314922148125302898, authorId=1314922149517811852, language=CN, stringName=薄宇, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中国科学院大气物理研究所，全球变化东亚区域研究中心，北京 100029, bio={"content":"

薄宇（1982-），女，黑龙江鸡西人，高级工程师，博士，主要研究方向为大气污染与温室气体协同控制．发表论文30余篇．boyu@mail.iap.ac.cn.

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薄宇（1982-），女，黑龙江鸡西人，高级工程师，博士，主要研究方向为大气污染与温室气体协同控制．发表论文30余篇．boyu@mail.iap.ac.cn.

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