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Methane (CH4), as a short-lived and high-warming potential greenhouse gas, understanding its concentration distribution and changes is crucial for China to achieve its "Dual Carbon" goal. This study systematically analyzed the distribution and changing pattern of methane concentration in North China utilizing methane concentration products produced by the Google Earth Engine platform and the University of Bremen, Germany, based on the TROPOMI satellite data, and conducted a comparative analysis of the quality of the two datasets. The results demonstrate that the methane concentrations in North China exhibited an increasing trend from 2019 to 2023. Specifically, the Offline Methane data rose from 1850.25×10-9 to 1899.15 ×10-9, representing an increase of 48.90×10-9, while the Level 2XCH4 data rose from 1860.13 ×10-9 to 1909.60 ×10-9 with an increase of 49.47×10-9. The methane concentration was relatively high in Tianjin and Hebei Province, while that in the Inner Mongolia Autonomous Region was relatively low. The anomalously high methane concentrations were mainly distributed in Hebei and Shanxi provinces. A strong correlation between the two datasets was observed (r=0.92). Both datasets demonstrated a correlation greater than 0.85 with data from the Xianghe station, indicating that both datasets can effectively reflect the ground-level methane concentration. The Offline Methane data can provide visual downloads and high spatial resolution, but there are many data gaps. In practical applications, data fusion and other interpolation methods can be employed to fill these missing observations. The Level 2XCH4 data has lower spatial resolution but higher coverage, and can be processed by gridding based on the size of the study area, making it suitable for large-scale research.

, authors=Meng-yuan LI1, 2, Jun LI1, 2, *, Wei CHEN2, Bei-jing XIE3, Cheng-ye ZHANG1, 2, Ya-xin DING2, Yue-Jun HUANG4, authorsList=Meng-yuan LI, Jun LI, Wei CHEN, Bei-jing XIE, Cheng-ye ZHANG, Ya-xin DING, Yue-Jun HUANG, authorCompany=null, correspAuthors=Jun LI, 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=1314918250257933039, articleId=1314918249670730477, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于TROPOMI的华北地区CH4浓度时空变化与数据对比, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

甲烷(CH4)作为短寿命、高增温潜势的温室气体,了解其浓度分布和变化对我国实现“双碳”目标至关重要.本研究利用Google Earth Engine平台和德国Bremen大学分别基于TROPOMI卫星生产的甲烷浓度产品,系统分析我国华北地区甲烷浓度的分布情况和变化规律,并对两种数据的质量进行对比分析.结果表明,自2019年至2023年,华北地区的甲烷浓度呈上升趋势,其中Offline Methane数据从1850.25×10-9上升到1899.15×10-9,增长48.90×10-9;Level 2XCH4数据从1860.13×10-9上升到1909.60×10-9,增长49.47×10-9;天津市和河北省的甲烷浓度相对较高,内蒙古自治区的甲烷浓度相对较低;甲烷浓度异常高值主要分布在河北省和山西省;两种数据之间具有较高的相关性(r为0.92),与香河站数据的相关性均大于0.85,两种数据均能较好地反映地面甲烷浓度.Offline Methane数据可提供可视化下载和高空间分辨率,但数据缺失较多,实际应用中可以采用数据融合等方法进行插补;Level 2XCH4数据空间分辨率较低但覆盖度高,可以根据研究区大小进行网格化处理,适合大区域研究.

, authors=李梦圆1, 2, 李军1, 2, *, 陈伟2, 解北京3, 张成业1, 2, 丁雅欣2, 黄月军4, authorsList=李梦圆, 李军, 陈伟, 解北京, 张成业, 丁雅欣, 黄月军, authorCompany=null, correspAuthors=李军, authorNote=

李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

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李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

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李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

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基于TROPOMI的华北地区CH4浓度时空变化与数据对比
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李梦圆 1, 2 , 李军 1, 2, * , 陈伟 2 , 解北京 3 , 张成业 1, 2 , 丁雅欣 2 , 黄月军 4
中国环境科学 | 大气污染与控制 2025,45(10): 5378-5389
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中国环境科学 |大气污染与控制 2025 , 45 (10) : 5378 -5389
基于TROPOMI的华北地区CH4浓度时空变化与数据对比
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李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

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李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

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李梦圆1, 2 , 李军1, 2, * , 陈伟2, 解北京3, 张成业1, 2, 丁雅欣2, 黄月军4
作者信息
  • 1.中国矿业大学(北京)内蒙古研究院,内蒙古 鄂尔多斯 017010
  • 2.中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
  • 3.中国矿业大学(北京)应急管理与安全工程学院,北京 100083
  • 4.国能北电胜利能源有限公司,内蒙古 锡林浩特 026000
通讯作者:
* 责任作者,教授,
作者简介:

李梦圆(2000-),女,湖南湘潭人,中国矿业大学(北京)硕士研究生,主要研究方向为大气甲烷遥感监测..

Spatiotemporal variations and data comparison of CH4 concentrations in north China based on TROPOMI
Meng-yuan LI1, 2 , Jun LI1, 2, * , Wei CHEN2, Bei-jing XIE3, Cheng-ye ZHANG1, 2, Ya-xin DING2, Yue-Jun HUANG4
Affiliations
  • 1.Inner Mongolia Research Institute, China University of Mining and Technology-Beijing, Erdos 017010, China
  • 2.College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 3.College of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 4.Guoneng Beidian Shengli Energy Co., Ltd., Xilinhot 026000, China
出版时间: 2025-10-20
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甲烷(CH4)作为短寿命、高增温潜势的温室气体,了解其浓度分布和变化对我国实现“双碳”目标至关重要.本研究利用Google Earth Engine平台和德国Bremen大学分别基于TROPOMI卫星生产的甲烷浓度产品,系统分析我国华北地区甲烷浓度的分布情况和变化规律,并对两种数据的质量进行对比分析.结果表明,自2019年至2023年,华北地区的甲烷浓度呈上升趋势,其中Offline Methane数据从1850.25×10-9上升到1899.15×10-9,增长48.90×10-9;Level 2XCH4数据从1860.13×10-9上升到1909.60×10-9,增长49.47×10-9;天津市和河北省的甲烷浓度相对较高,内蒙古自治区的甲烷浓度相对较低;甲烷浓度异常高值主要分布在河北省和山西省;两种数据之间具有较高的相关性(r为0.92),与香河站数据的相关性均大于0.85,两种数据均能较好地反映地面甲烷浓度.Offline Methane数据可提供可视化下载和高空间分辨率,但数据缺失较多,实际应用中可以采用数据融合等方法进行插补;Level 2XCH4数据空间分辨率较低但覆盖度高,可以根据研究区大小进行网格化处理,适合大区域研究.

甲烷(CH4)  /  时空变化  /  TROPOMI产品数据  /  华北地区

Methane (CH4), as a short-lived and high-warming potential greenhouse gas, understanding its concentration distribution and changes is crucial for China to achieve its "Dual Carbon" goal. This study systematically analyzed the distribution and changing pattern of methane concentration in North China utilizing methane concentration products produced by the Google Earth Engine platform and the University of Bremen, Germany, based on the TROPOMI satellite data, and conducted a comparative analysis of the quality of the two datasets. The results demonstrate that the methane concentrations in North China exhibited an increasing trend from 2019 to 2023. Specifically, the Offline Methane data rose from 1850.25×10-9 to 1899.15 ×10-9, representing an increase of 48.90×10-9, while the Level 2XCH4 data rose from 1860.13 ×10-9 to 1909.60 ×10-9 with an increase of 49.47×10-9. The methane concentration was relatively high in Tianjin and Hebei Province, while that in the Inner Mongolia Autonomous Region was relatively low. The anomalously high methane concentrations were mainly distributed in Hebei and Shanxi provinces. A strong correlation between the two datasets was observed (r=0.92). Both datasets demonstrated a correlation greater than 0.85 with data from the Xianghe station, indicating that both datasets can effectively reflect the ground-level methane concentration. The Offline Methane data can provide visual downloads and high spatial resolution, but there are many data gaps. In practical applications, data fusion and other interpolation methods can be employed to fill these missing observations. The Level 2XCH4 data has lower spatial resolution but higher coverage, and can be processed by gridding based on the size of the study area, making it suitable for large-scale research.

methane(CH4)  /  temporal and spatial variations  /  TROPOMI product data  /  North China
李梦圆, 李军, 陈伟, 解北京, 张成业, 丁雅欣, 黄月军. 基于TROPOMI的华北地区CH4浓度时空变化与数据对比. 中国环境科学, 2025 , 45 (10) : 5378 -5389 .
Meng-yuan LI, Jun LI, Wei CHEN, Bei-jing XIE, Cheng-ye ZHANG, Ya-xin DING, Yue-Jun HUANG. Spatiotemporal variations and data comparison of CH4 concentrations in north China based on TROPOMI[J]. China Environmental Science, 2025 , 45 (10) : 5378 -5389 .
  • 鄂尔多斯市科技计划项目(YF20250255)
  • 丝绸之路经济带创新驱动发展试验区、乌昌石国家自主创新示范区科技发展计划项目(2023LQY02)
  • 教育部“春晖计划”国际合作项目(202201628)
  • 中央高校基本科研业务费项目(2023ZKPYDC10)
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2025年第45卷第10期
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  • 接收时间:2025-01-03
  • 首发时间:2026-10-08
  • 出版时间:2025-10-20
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  • 收稿日期:2025-01-03
基金
鄂尔多斯市科技计划项目(YF20250255)
丝绸之路经济带创新驱动发展试验区、乌昌石国家自主创新示范区科技发展计划项目(2023LQY02)
教育部“春晖计划”国际合作项目(202201628)
中央高校基本科研业务费项目(2023ZKPYDC10)
作者信息
    1.中国矿业大学(北京)内蒙古研究院,内蒙古 鄂尔多斯 017010
    2.中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
    3.中国矿业大学(北京)应急管理与安全工程学院,北京 100083
    4.国能北电胜利能源有限公司,内蒙古 锡林浩特 026000

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* 责任作者,教授,
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2种不同金属材料的力学参数
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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
栓菌属 Trametes 5 2.39
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