Article(id=1314922992312869020, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, 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=1754582400000, receivedDateStr=2025-08-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431671455, onlineDateStr=2026-10-08, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431671455, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431671455, creator=13701087609, updateTime=1791431671455, updator=13701087609, issue=Issue{id=1314922986466009203, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='3', pageStart='1185', pageEnd='1776', issueExtLink='null', onlineDate='null', pubDate='1773936000000', pubDateStr='2026-03-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791431670061, creator='13701087609', updateTime=1791431955369, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924183251935526, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924183251935527, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1229, endPage=1237, ext={EN=ArticleExt(id=1314922992522584221, articleId=1314922992312869020, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Spatial distribution of near-surface atmospheric CH4 and CO2 concentrations and their carbon isotopic compositions in the coastal region of eastern China, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

The concentration and carbon isotope compositions (δ13C-CH4, δ13C-CO2) of methane (CH4) and carbon dioxide (CO2) along the coastal of eastern China were studied using vehicle mounted mobile measurement methods. The results indicated that the CH4 concentration was observed to range from (1.84~2.94) ×10-6, with an average concentration of 2.09×10-6. The highest value was recorded in Jiangmen, Guangdong (2.32×10-6), while the lowest value was recorded in Zhangzhou, Fujian (1.94×10-6). The CO2 concentration was found to range from (420.51~857.33) ×10-6, with an average concentration of 525.70×10-6. The highest value was measured in Shenzhen, Guangdong (599.08×10-6), and the lowest value was measured in Nantong, Jiangsu (477.42×10-6). Both CH4 and CO2 levels in the study area were found to exceed the atmospheric background values. The δ13C-CH4 values ranged from-62.62‰ to -29.70‰, with an average of -43.65‰. The highest value was observed in Qingdao, Shandong (-40.24‰), and the lowest value was observed in Zhangzhou, Fujian (-48.25‰). The δ13C-CO2 values ranged from -28.64‰ to -9.19‰, with an average of -17.53‰. The highest value was recorded in Nantong, Jiangsu (-14.45‰), and the lowest value was recorded in Shenzhen, Guangdong (-19.13‰). In the study area, CH4 concentration was found to be positively correlated with its carbon isotope signature, while CO2 concentration was negatively correlated with its carbon isotope signature. Per capita GDP, the number of civilian vehicles, livestock inventory, and rice cultivation area were all positively correlated with CH4 concentration and its carbon isotope signature. In contrast, the forest coverage rate was negatively correlated with CH4 concentration and its carbon isotope signature. δ13C (CO2) was utilized to trace the sources and sinks of atmospheric CO2 along the coastal regions of Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, and Guangdong. Their respective δ13C (CO2) source signatures (δ13Cs) were determined to be: -37.90‰, -37.67‰, -41.24‰, -34.12‰, -33.99‰, and -32.39‰. These values indicated that the combustion of petroleum and natural gas was identified as the primary contributing source to CO2 emissions in the study area.

, authors=Tian-yu BIAN1, 2, Xiao-yong DUAN2, 3, *, Gang TONG2, 4, Xue LI2, 3, Ping YIN2, 3, Ke CAO2, 3, Bin CHEN2, 3, Da-hai ZHANG1, authorsList=Tian-yu BIAN, Xiao-yong DUAN, Gang TONG, Xue LI, Ping YIN, Ke CAO, Bin CHEN, Da-hai ZHANG, authorCompany=null, correspAuthors=Xiao-yong DUAN, 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=1314922992849739934, articleId=1314922992312869020, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=中国东部沿海近地表大气CH4和CO2浓度及碳同位素空间分布, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

利用车载移动测量方法研究了中国东部沿海的甲烷(CH4)、二氧化碳(CO2)浓度及其碳同位素组成(δ13C-CH4、δ13C-CO2).结果表明:CH4浓度变化范围为(1.84~2.94)×10-6,平均浓度为2.09×10-6,最高值在广东江门(2.32×10-6);最低值在福建漳州(1.94×10-6).CO2浓度变化范围为(420.51~857.33)×10-6,平均浓度为525.70×10-6,最高值在广东深圳(599.08×10-6);最低值在江苏南通(477.42×10-6).研究区CH4和CO2含量超于大气背景值.δ13C-CH4变化范围为-62.62‰~-29.70‰,平均值为-43.65‰,最高值在山东青岛(-40.24‰);最低值在福建漳州(-48.25‰).δ13C-CO2变化范围为-28.64‰~-9.19‰,平均值为-17.53‰,最高值在江苏南通(-14.45‰);最低值在广东深圳(-19.13‰).研究区CH4浓度和碳同位素呈正相关,CO2浓度和碳同位素呈负相关.人均GDP、民用汽车拥有量、牲畜存栏量、水稻面积与CH4浓度及碳同位素呈正相关,森林覆盖率与CH4浓度及碳同位素呈负相关.利用δ13C(CO2)示踪山东、江苏、上海、浙江、福建、广东的沿海大气CO2源汇特征,其δ13Cs分别为:-37.90‰、-37.67‰、-41.24‰、-34.12‰、-33.99‰、-32.39‰,指示石油与天然气的燃烧是研究区CO2排放的主要贡献源.

, authors=卞天雨1, 2, 段晓勇2, 3, *, 仝港2, 4, 李雪2, 3, 印萍2, 3, 曹珂2, 3, 陈彬2, 3, 张大海1, authorsList=卞天雨, 段晓勇, 仝港, 李雪, 印萍, 曹珂, 陈彬, 张大海, authorCompany=null, correspAuthors=段晓勇, authorNote=

卞天雨(1999-),男,山东临沂人,中国海洋大学硕士研究生,研究方向为化学工程.发表论文1篇..

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* 责任作者,研究员,
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卞天雨(1999-),男,山东临沂人,中国海洋大学硕士研究生,研究方向为化学工程.发表论文1篇..

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中国东部沿海近地表大气CH4和CO2浓度及碳同位素空间分布
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卞天雨 1, 2 , 段晓勇 2, 3, * , 仝港 2, 4 , 李雪 2, 3 , 印萍 2, 3 , 曹珂 2, 3 , 陈彬 2, 3 , 张大海 1
中国环境科学 | 大气污染与控制 2026,46(3): 1229-1237
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中国环境科学 |大气污染与控制 2026 , 46 (3) : 1229 -1237
中国东部沿海近地表大气CH4和CO2浓度及碳同位素空间分布
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卞天雨1, 2 , 段晓勇2, 3, * , 仝港2, 4, 李雪2, 3, 印萍2, 3, 曹珂2, 3, 陈彬2, 3, 张大海1
作者信息
  • 1.中国海洋大学化学化工学院,山东 青岛 266100
  • 2.中国地质调查局青岛海洋地质研究所,山东 青岛 266237
  • 3.中国地质调查局舟山海洋地质灾害野外科学观测研究站,山东 青岛 266237
  • 4.中国海洋大学地球科学学院,山东 青岛 266100
通讯作者:
* 责任作者,研究员,
作者简介:

卞天雨(1999-),男,山东临沂人,中国海洋大学硕士研究生,研究方向为化学工程.发表论文1篇..

Spatial distribution of near-surface atmospheric CH4 and CO2 concentrations and their carbon isotopic compositions in the coastal region of eastern China
Tian-yu BIAN1, 2 , Xiao-yong DUAN2, 3, * , Gang TONG2, 4, Xue LI2, 3, Ping YIN2, 3, Ke CAO2, 3, Bin CHEN2, 3, Da-hai ZHANG1
Affiliations
  • 1.College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China
  • 2.Qingdao Institute of Marine Geology, China Geological Survey, Qingdao 266237, China
  • 3.Zhoushan Field Scientific Observation and Research Station for Marine Geo-hazards, China Geological Survey, Qingdao 266237, China
  • 4.College of Earth Sciences, Ocean University of China, Qingdao 266100, China
出版时间: 2026-03-20
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利用车载移动测量方法研究了中国东部沿海的甲烷(CH4)、二氧化碳(CO2)浓度及其碳同位素组成(δ13C-CH4、δ13C-CO2).结果表明:CH4浓度变化范围为(1.84~2.94)×10-6,平均浓度为2.09×10-6,最高值在广东江门(2.32×10-6);最低值在福建漳州(1.94×10-6).CO2浓度变化范围为(420.51~857.33)×10-6,平均浓度为525.70×10-6,最高值在广东深圳(599.08×10-6);最低值在江苏南通(477.42×10-6).研究区CH4和CO2含量超于大气背景值.δ13C-CH4变化范围为-62.62‰~-29.70‰,平均值为-43.65‰,最高值在山东青岛(-40.24‰);最低值在福建漳州(-48.25‰).δ13C-CO2变化范围为-28.64‰~-9.19‰,平均值为-17.53‰,最高值在江苏南通(-14.45‰);最低值在广东深圳(-19.13‰).研究区CH4浓度和碳同位素呈正相关,CO2浓度和碳同位素呈负相关.人均GDP、民用汽车拥有量、牲畜存栏量、水稻面积与CH4浓度及碳同位素呈正相关,森林覆盖率与CH4浓度及碳同位素呈负相关.利用δ13C(CO2)示踪山东、江苏、上海、浙江、福建、广东的沿海大气CO2源汇特征,其δ13Cs分别为:-37.90‰、-37.67‰、-41.24‰、-34.12‰、-33.99‰、-32.39‰,指示石油与天然气的燃烧是研究区CO2排放的主要贡献源.

东部沿海城市  /  车载移动测量  /  CH4  /  CO2  /  浓度  /  碳同位素

The concentration and carbon isotope compositions (δ13C-CH4, δ13C-CO2) of methane (CH4) and carbon dioxide (CO2) along the coastal of eastern China were studied using vehicle mounted mobile measurement methods. The results indicated that the CH4 concentration was observed to range from (1.84~2.94) ×10-6, with an average concentration of 2.09×10-6. The highest value was recorded in Jiangmen, Guangdong (2.32×10-6), while the lowest value was recorded in Zhangzhou, Fujian (1.94×10-6). The CO2 concentration was found to range from (420.51~857.33) ×10-6, with an average concentration of 525.70×10-6. The highest value was measured in Shenzhen, Guangdong (599.08×10-6), and the lowest value was measured in Nantong, Jiangsu (477.42×10-6). Both CH4 and CO2 levels in the study area were found to exceed the atmospheric background values. The δ13C-CH4 values ranged from-62.62‰ to -29.70‰, with an average of -43.65‰. The highest value was observed in Qingdao, Shandong (-40.24‰), and the lowest value was observed in Zhangzhou, Fujian (-48.25‰). The δ13C-CO2 values ranged from -28.64‰ to -9.19‰, with an average of -17.53‰. The highest value was recorded in Nantong, Jiangsu (-14.45‰), and the lowest value was recorded in Shenzhen, Guangdong (-19.13‰). In the study area, CH4 concentration was found to be positively correlated with its carbon isotope signature, while CO2 concentration was negatively correlated with its carbon isotope signature. Per capita GDP, the number of civilian vehicles, livestock inventory, and rice cultivation area were all positively correlated with CH4 concentration and its carbon isotope signature. In contrast, the forest coverage rate was negatively correlated with CH4 concentration and its carbon isotope signature. δ13C (CO2) was utilized to trace the sources and sinks of atmospheric CO2 along the coastal regions of Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, and Guangdong. Their respective δ13C (CO2) source signatures (δ13Cs) were determined to be: -37.90‰, -37.67‰, -41.24‰, -34.12‰, -33.99‰, and -32.39‰. These values indicated that the combustion of petroleum and natural gas was identified as the primary contributing source to CO2 emissions in the study area.

eastern coastal cities  /  vehicle mounted mobile measurement  /  CH4  /  CO2  /  concentration  /  carbon isotope
卞天雨, 段晓勇, 仝港, 李雪, 印萍, 曹珂, 陈彬, 张大海. 中国东部沿海近地表大气CH4和CO2浓度及碳同位素空间分布. 中国环境科学, 2026 , 46 (3) : 1229 -1237 .
Tian-yu BIAN, Xiao-yong DUAN, Gang TONG, Xue LI, Ping YIN, Ke CAO, Bin CHEN, Da-hai ZHANG. Spatial distribution of near-surface atmospheric CH4 and CO2 concentrations and their carbon isotopic compositions in the coastal region of eastern China[J]. China Environmental Science, 2026 , 46 (3) : 1229 -1237 .
  • 国家重点研发计划项目(2022YFE0209300)
  • 国家自然科学基金资助项目(42176091)
  • 亚洲合作资金(长江三角洲与红河三角洲海洋地质环境与灾害合作研究)资助项目
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2026年第46卷第3期
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  • 接收时间:2025-08-08
  • 首发时间:2026-10-08
  • 出版时间:2026-03-20
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  • 收稿日期:2025-08-08
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国家重点研发计划项目(2022YFE0209300)
国家自然科学基金资助项目(42176091)
亚洲合作资金(长江三角洲与红河三角洲海洋地质环境与灾害合作研究)资助项目
作者信息
    1.中国海洋大学化学化工学院,山东 青岛 266100
    2.中国地质调查局青岛海洋地质研究所,山东 青岛 266237
    3.中国地质调查局舟山海洋地质灾害野外科学观测研究站,山东 青岛 266237
    4.中国海洋大学地球科学学院,山东 青岛 266100

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* 责任作者,研究员,
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