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Based on the International Civil Aviation Organization (ICAO) standard emission model, combined with statistical data from the Civil Aviation Administration of China (CAAC), an updated 2023~2024 air pollutant and carbon fusion emission inventory for the landing and take-off (LTO) cycles of civil aviation airports in mainland China was constructed, and the accuracy of the emission inventory was verified using the CHAP dataset. The results showed that in 2023, NO_x, CO, HC, SO₂, PM, and CO₂ emissions from LTO cycles at Chinese civil aviation airports were 1.277×10⁵, 1.010×10⁵, 0.084×10⁵, 0.037×10⁵, 0.010×10⁵, and 176.739×10⁵t, respectively. In 2024, the corresponding emissions were 1.353×10⁵, 1.070×10⁵, 0.089×10⁵, 0.039×10⁵, 0.010×10⁵, and 187.189×10⁵t, with a total LTO phase emission increase of 5.91% compared to 2023. The spatial and temporal characteristics of emissions in 2023 and 2024 indicated that economically developed eastern regions (such as Beijing, Shanghai, and Guangzhou) had CO₂ emissions accounting for more than 26% of the national total due to dense flight operations, whereas emissions were lower in western regions due to the limited number of regional airports. Empirical models showed a strong correlation between NO_x emissions and CHAP concentration data (r=0.50), validating the reliability of the inventory.

, authors=Zi-ang MA, Zheng ZHANG, Xin XU^*, Xin BO^*, authorsList=Zi-ang MA, Zheng ZHANG, Xin XU, Xin BO, authorCompany=null, correspAuthors=Xin XU, Xin BO, 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=1314921949206245468, articleId=1314921948728094810, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=中国民用航空机场融合排放清单及验证研究, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于国际民航组织（ICAO）标准排放模型，结合中国民用航空局统计数据，构建了最新的2023~2024年中国大陆民用航空机场起降循环（LTO）阶段的大气污染物及碳融合排放清单，并利用CHAP数据集验证排放清单准确性．结果表明：2023年中国民航机场LTO循环NO_x、CO、HC、SO₂、PM和CO₂排放量分别为12.77×10⁴，10.10×10⁴，0.84×10⁴，0.37×10⁴，0.10×10⁴, 1767.39×10⁴t，2024年中国民航机场LTO循环NO_x、CO、HC、SO₂、PM和CO₂排放量分别为13.53×10⁴，10.70×10⁴，0.89×10⁴，0.39×10⁴，0.10×10⁴, 1871.89×10⁴t，2024年LTO阶段总排放量较2023年增长了5.91%．2023、2024年排放时空特征显示，东部经济发达地区（如北京、上海、广州）因航班密集，CO₂排放量占全国26%以上，而西部地区受限于支线机场数量，排放量较低．经验模型表明NO_x排放与CHAP浓度数据相关性较强（r=0.50），验证了清单可靠性．

, authors=马子昂, 张峥, 徐鑫^*, 伯鑫^*, authorsList=马子昂, 张峥, 徐鑫, 伯鑫, authorCompany=null, correspAuthors=徐鑫, 伯鑫, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=7bZbMTtBT/RqT/gyEPWcBQ==, magXml=HdjsVF4oWNMS4bQXLe9ooQ==, pdfUrl=null, pdf=6RGD/2XmuNG56KktdbgrKA==, pdfFileSize=8987321, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=0ASrTsg8Zc1GnMAyM5nxDw==, mapNumber=null, fund=null)}, authors=[Author(id=1314921949566955617, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314921948728094810, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=mzang_m@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314921949667618915, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314921948728094810, authorId=1314921949566955617, language=EN, stringName=Zi-ang MA, firstName=Zi-ang, middleName=null, lastName=MA, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=BUCT Institute for Carbon-neutrality of Chinese Industries, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314921949751504996, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314921948728094810, authorId=1314921949566955617, language=CN, stringName=马子昂, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=北京化工大学化学工程学院，北化中国工业碳中和研究院，北京 100029, bio={"content":"

马子昂（2002-），男，河北保定人，北京化工大学硕士研究生，主要从事大气污染物及碳融合排放清单，空气质量数值模拟研究．mzang_m@163.com.

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马子昂（2002-），男，河北保定人，北京化工大学硕士研究生，主要从事大气污染物及碳融合排放清单，空气质量数值模拟研究．mzang_m@163.com.

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