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Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Sources Over China

文献类型：期刊论文

作者Tian, Yuan8; Liu, Cheng4,5,6,7; Sun, Youwen6; Borsdorff, Tobias3; Landgraf, Jochen3; Lu, Xiao2; Palm, Mathias1; Notholt, Justus1
刊名GEOPHYSICAL RESEARCH LETTERS
出版日期2022-03-16
卷号49
ISSN号0094-8276
DOI10.1029/2021GL097312
通讯作者Sun, Youwen(ywsun@aiofm.ac.cn)
英文摘要Irregular industrial Carbon monoxide (CO) emissions not only deteriorate global atmospheric environment but also add a large uncertainty to CO emission inventory. This work demonstrates the potentiality of the Tropospheric Monitoring Instrument (TROPOMI) data product to derive CO emissions from facility-level industrial sources. We have demonstrated CO emission estimates of 14 randomly selected facility-level industrial sources over China with uncertainties of 10%-35% from TROPOMI archive between 2017 and 2020. We found that most of the plumes reveal significantly larger emissions than the registered inventory values. The simplicity of the demonstrated plume quantification method makes it easily applicable everywhere around the globe. This study suggests that future CO satellite constellation can routinely observe point source CO emissions to support environment policy. Plain Language Summary Irregular Carbon monoxide (CO) emissions from industrial sources add a large uncertainty to CO emission inventory. Some irregular CO emission events from industrial point sources in China may be not recorded properly by in situ monitoring system since enterprises may turn down the reporting values manually before discharging excessive pollutants to escape punishment. It is also expensive to carry out frequent airborne or ground-based surveys across the entire industrial area to monitor such irregular CO emission events. This work demonstrates the potentiality of the Tropospheric Monitoring Instrument (TROPOMI) data product to derive CO emissions from facility-level industrial sources. We have demonstrated CO emission estimates of 14 randomly selected facility-level industrial sources over China with uncertainties of 10%-35% from TROPOMI archive between 2017 and 2020. We found that most of the plumes reveal significantly larger emissions than the registered inventory values. The simplicity of the demonstrated plume quantification method makes it easily applicable everywhere around the globe. This study suggests that future satellite constellation should monitor CO and co-emitted gases with high spatial-temporal resolutions and coverage, which can monitor routinely CO emissions to support environment policy.
WOS关键词CARBON-MONOXIDE ; GLOBAL DISTRIBUTION ; CITY SCALES ; TROPOMI ; POLLUTION ; SPACE ; RETRIEVALS ; MISSION ; TRENDS ; CITIES
资助项目Natural Science Foundation of Anhui Province[2008085QD180] ; Doctoral Scientific Research Foundation of Anhui University[S020118002/008] ; Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences[2005DP173065-2019-05] ; SURF Cooperative
WOS研究方向Geology
语种英语
WOS记录号WOS:000773409300058
出版者AMER GEOPHYSICAL UNION
资助机构Natural Science Foundation of Anhui Province ; Doctoral Scientific Research Foundation of Anhui University ; Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences ; SURF Cooperative
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/128217]  
专题中国科学院合肥物质科学研究院
通讯作者Sun, Youwen
作者单位1.Univ Bremen, Inst Environm Phys, Bremen, Germany
2.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Peoples R China
3.SRON, Netherlands Inst Space Res, Leiden, Netherlands
4.Univ Sci & Technol China, Anhui Higher Educ Inst, Key Lab Precis Sci Instrumentat, Hefei, Peoples R China
5.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei, Peoples R China
6.Chinese Acad Sci, Key Lab Environm Opt & Technol, Anhui Inst Opt & Fine Mech, HFIPS, Hefei, Peoples R China
7.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei, Peoples R China
8.Anhui Univ, Informat Mat & Intelligent Sensing Lab Anhui Prov, Inst Phys Sci & Informat Technol, Hefei, Peoples R China
推荐引用方式
GB/T 7714		 Tian, Yuan,Liu, Cheng,Sun, Youwen,et al. Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Sources Over China[J]. GEOPHYSICAL RESEARCH LETTERS,2022,49.
APA Tian, Yuan.,Liu, Cheng.,Sun, Youwen.,Borsdorff, Tobias.,Landgraf, Jochen.,...&Notholt, Justus.(2022).Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Sources Over China.GEOPHYSICAL RESEARCH LETTERS,49.
MLA Tian, Yuan,et al."Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Sources Over China".GEOPHYSICAL RESEARCH LETTERS 49(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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