Article(id=1314921956336566933, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, 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=1746460800000, receivedDateStr=2025-05-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431424458, onlineDateStr=2026-10-08, pubDate=1768838400000, pubDateStr=2026-01-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431424458, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431424458, creator=13701087609, updateTime=1791431424458, updator=13701087609, issue=Issue{id=1314921940238828053, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='1', pageStart='1', pageEnd='592', issueExtLink='null', onlineDate='null', pubDate='1768838400000', pubDateStr='2026-01-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791431420621, creator='13701087609', updateTime=1791431552947, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922495317210104, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922495317210105, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=79, endPage=90, ext={EN=ArticleExt(id=1314921956772774550, articleId=1314921956336566933, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Impact assessment of aviation emissions on China's atmospheric environment from a multidimensional perspective, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Based on the civil aviation emission inventory for China in 2019, the impacts of aviation emissions on the atmospheric environment were quantified using the CAMx model. Furthermore, the contributions of various flight phases to ground-level pollutant concentrations and their vertical distribution characteristics were explored. The results showed that aviation emissions were found to contribute 0.045 and 0.26μg/m3 to the annual average ground-level PM2.5 and O3 concentrations in China in 2019, respectively, with significant regional and seasonal variations being exhibited. The impact of aviation emissions on PM2.5 was observed to be greater in winter than in summer, while the higher photochemical reaction efficiency in summer was found to facilitate the generation of O3. The influence of aviation emissions on ground-level PM2.5 concentrations was mainly concentrated during the landing and take-off cycles, whereas O3 formation was primarily attributed to emissions during the cruise phase. The vertical distribution of the contributions of aviation emissions to PM2.5 and O3 concentrations was observed to exhibit pronounced seasonal variations. In summer, the contribution ratios in East China, Central South, and Southwest regions were found to peak at the 5~9km altitude layer (4.7% for PM2.5 and 10.6% for O3), whereas in winter, they were concentrated in the lower 0~2km layer (6.9% for PM2.5 and 10.8% for O3). In contrast, in regions such as Northwest China and Xinjiang, the peak contribution of aviation emissions to PM2.5 concentrations during winter was primarily concentrated in the lower altitude layer below 1km (9.1% for PM2.5 and 5.9% for O3). However, in summer, influenced by dust storms, the peak contribution of PM2.5 concentration in the northwest region was observed at an altitude of approximately 4km (8.1%).

, authors=Si-meng MA1, 2, Hui-juan TANG1, 2, Bo HAN1, 2, *, Yun-ting ZHAO2, 3, Jing-bo ZHAO1, 2, Jian YU2, 4, authorsList=Si-meng MA, Hui-juan TANG, Bo HAN, Yun-ting ZHAO, Jing-bo ZHAO, Jian YU, authorCompany=null, correspAuthors=Bo HAN, 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=1314921957427085975, articleId=1314921956336566933, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=多维视角下航空排放对我国大气环境的影响评估, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于2019年我国民航飞行活动污染物排放清单,利用CAMx模式计算分析了航空排放对我国大气环境的影响,并探讨了不同飞行阶段对地面污染物浓度的贡献及其垂直分布特征.结果表明,2019年航空排放对我国地面PM2.5和O3年均浓度贡献分别为0.045和0.26μg/m3,且呈现出显著的区域性和季节性差异.冬季航空排放对PM2.5的影响高于夏季,而夏季较高的光化学反应效率则促进了O3的生成.航空排放对地面PM2.5浓度的影响主要集中在起降循环阶段,而O3主要来源于巡航阶段排放.航空排放对PM2.5和O3浓度贡献垂直分布呈现出显著的季节差异:夏季,华东、中南和西南地区浓度贡献占比在5~9km高度层出现峰值(PM2.5为4.7%、O3为10.6%),而冬季浓度贡献峰值则集中于0~2km的低层(PM2.5为6.9%、O3为10.8%).相比之下,冬季新疆和西北地区污染物浓度贡献峰值主要积聚在1km以下的低层(PM2.5为9.1%、O3为5.9%),而夏季受沙尘影响,西北地区PM2.5浓度贡献峰值出现在~4km高度层(8.1%).

, authors=马思萌1, 2, 汤慧娟1, 2, 韩博1, 2, *, 赵芸婷2, 3, 赵静波1, 2, 于剑2, 4, authorsList=马思萌, 汤慧娟, 韩博, 赵芸婷, 赵静波, 于剑, authorCompany=null, correspAuthors=韩博, authorNote=

马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

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* 责任作者,教授,
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马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

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马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

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多维视角下航空排放对我国大气环境的影响评估
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马思萌 1, 2 , 汤慧娟 1, 2 , 韩博 1, 2, * , 赵芸婷 2, 3 , 赵静波 1, 2 , 于剑 2, 4
中国环境科学 | 大气污染与控制 2026,46(1): 79-90
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中国环境科学 |大气污染与控制 2026 , 46 (1) : 79 -90
多维视角下航空排放对我国大气环境的影响评估
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马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

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马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

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马思萌1, 2 , 汤慧娟1, 2, 韩博1, 2, * , 赵芸婷2, 3, 赵静波1, 2, 于剑2, 4
作者信息
  • 1.中国民航大学交通科学与工程学院,天津 300300
  • 2.中国民航大学中国民航环境与可持续发展研究中心,天津 300300
  • 3.华设设计集团北京民航设计研究院有限公司,北京 101300
  • 4.中国民航管理干部学院,北京 100102
通讯作者:
* 责任作者,教授,
作者简介:

马思萌(1990-),女,河北保定人,讲师,博士,主要从事民航低碳与污染防控研究.发表论文20余篇..

Impact assessment of aviation emissions on China's atmospheric environment from a multidimensional perspective
Si-meng MA1, 2 , Hui-juan TANG1, 2, Bo HAN1, 2, * , Yun-ting ZHAO2, 3, Jing-bo ZHAO1, 2, Jian YU2, 4
Affiliations
  • 1.School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
  • 2.Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China
  • 3.China Design Group Beijing Civil Aviation Design & Research Institute Co., Ltd, Beijing 101300, China
  • 4.Civil Aviation Management Institute of China, Beijing 100102, China
出版时间: 2026-01-20
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基于2019年我国民航飞行活动污染物排放清单,利用CAMx模式计算分析了航空排放对我国大气环境的影响,并探讨了不同飞行阶段对地面污染物浓度的贡献及其垂直分布特征.结果表明,2019年航空排放对我国地面PM2.5和O3年均浓度贡献分别为0.045和0.26μg/m3,且呈现出显著的区域性和季节性差异.冬季航空排放对PM2.5的影响高于夏季,而夏季较高的光化学反应效率则促进了O3的生成.航空排放对地面PM2.5浓度的影响主要集中在起降循环阶段,而O3主要来源于巡航阶段排放.航空排放对PM2.5和O3浓度贡献垂直分布呈现出显著的季节差异:夏季,华东、中南和西南地区浓度贡献占比在5~9km高度层出现峰值(PM2.5为4.7%、O3为10.6%),而冬季浓度贡献峰值则集中于0~2km的低层(PM2.5为6.9%、O3为10.8%).相比之下,冬季新疆和西北地区污染物浓度贡献峰值主要积聚在1km以下的低层(PM2.5为9.1%、O3为5.9%),而夏季受沙尘影响,西北地区PM2.5浓度贡献峰值出现在~4km高度层(8.1%).

航空运输  /  飞机排放  /  环境影响  /  飞行阶段  /  垂直分布

Based on the civil aviation emission inventory for China in 2019, the impacts of aviation emissions on the atmospheric environment were quantified using the CAMx model. Furthermore, the contributions of various flight phases to ground-level pollutant concentrations and their vertical distribution characteristics were explored. The results showed that aviation emissions were found to contribute 0.045 and 0.26μg/m3 to the annual average ground-level PM2.5 and O3 concentrations in China in 2019, respectively, with significant regional and seasonal variations being exhibited. The impact of aviation emissions on PM2.5 was observed to be greater in winter than in summer, while the higher photochemical reaction efficiency in summer was found to facilitate the generation of O3. The influence of aviation emissions on ground-level PM2.5 concentrations was mainly concentrated during the landing and take-off cycles, whereas O3 formation was primarily attributed to emissions during the cruise phase. The vertical distribution of the contributions of aviation emissions to PM2.5 and O3 concentrations was observed to exhibit pronounced seasonal variations. In summer, the contribution ratios in East China, Central South, and Southwest regions were found to peak at the 5~9km altitude layer (4.7% for PM2.5 and 10.6% for O3), whereas in winter, they were concentrated in the lower 0~2km layer (6.9% for PM2.5 and 10.8% for O3). In contrast, in regions such as Northwest China and Xinjiang, the peak contribution of aviation emissions to PM2.5 concentrations during winter was primarily concentrated in the lower altitude layer below 1km (9.1% for PM2.5 and 5.9% for O3). However, in summer, influenced by dust storms, the peak contribution of PM2.5 concentration in the northwest region was observed at an altitude of approximately 4km (8.1%).

air transportation  /  aircraft emissions  /  environmental impact  /  flight phase  /  vertical distribution
马思萌, 汤慧娟, 韩博, 赵芸婷, 赵静波, 于剑. 多维视角下航空排放对我国大气环境的影响评估. 中国环境科学, 2026 , 46 (1) : 79 -90 .
Si-meng MA, Hui-juan TANG, Bo HAN, Yun-ting ZHAO, Jing-bo ZHAO, Jian YU. Impact assessment of aviation emissions on China's atmospheric environment from a multidimensional perspective[J]. China Environmental Science, 2026 , 46 (1) : 79 -90 .
  • 国家自然科学基金资助项目(42305192; U2133206)
  • 生态环境部机动车污染控制与模拟重点实验室开放基金资助项目(VECS2024K06)
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2026年第46卷第1期
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  • 接收时间:2025-05-06
  • 首发时间:2026-10-08
  • 出版时间:2026-01-20
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  • 收稿日期:2025-05-06
基金
国家自然科学基金资助项目(42305192; U2133206)
生态环境部机动车污染控制与模拟重点实验室开放基金资助项目(VECS2024K06)
作者信息
    1.中国民航大学交通科学与工程学院,天津 300300
    2.中国民航大学中国民航环境与可持续发展研究中心,天津 300300
    3.华设设计集团北京民航设计研究院有限公司,北京 101300
    4.中国民航管理干部学院,北京 100102

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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