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

doi:10.1029/2021GL097312

	Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Sources Over China
	Tian, Yuan 1; Liu, Cheng 2,3,4,5; Sun, Youwen 3; Borsdorff, Tobias 6; Landgraf, Jochen 6; Lu, Xiao 7; Palm, Mathias 8; Notholt, Justus 8
刊名	GEOPHYSICAL RESEARCH LETTERS
	2022-03-16
卷号	49
ISSN号	0094-8276
DOI	10.1029/2021GL097312
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.
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关键词	CARBON-MONOXIDE ; GLOBAL DISTRIBUTION ; CITY SCALES ; TROPOMI ; POLLUTION ; SPACE ; RETRIEVALS ; MISSION ; TRENDS ; CITIES
WOS研究方向	Geology
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000773409300058
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
内容类型	期刊论文
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.Anhui Univ, Informat Mat & Intelligent Sensing Lab Anhui Prov, Inst Phys Sci & Informat Technol, Hefei, Peoples R China 2.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei, Peoples R China 3.Chinese Acad Sci, Key Lab Environm Opt & Technol, Anhui Inst Opt & Fine Mech, HFIPS, Hefei, Peoples R China 4.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei, Peoples R China 5.Univ Sci & Technol China, Anhui Higher Educ Inst, Key Lab Precis Sci Instrumentat, Hefei, Peoples R China 6.SRON, Netherlands Inst Space Res, Leiden, Netherlands 7.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Peoples R China 8.Univ Bremen, Inst Environm Phys, Bremen, Germany
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).