气候变化领域集成服务门户(CCPortal): Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations

CCPortal

DOI	10.5194/acp-22-10809-2022
	Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations
	Chen, Zichong; Jacob, Daniel J.; Nesser, Hannah; Sulprizio, Melissa P.; Lorente, Alba; Varon, Daniel J.; Lu, Xiao; Shen, Lu; Qu, Zhen; Penn, Elise; Yu, Xueying
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	10809
结束页码	10826
卷号	22 期号:16 页码:18
英文摘要	We quantify methane emissions in China and the contributions from different sectors by inverse analysis of 2019 TROPOMI satellite observations of atmospheric methane. The inversion uses as a prior estimate the latest 2014 national sector-resolved anthropogenic emission inventory reported by the Chinese government to the United Nations Framework Convention on Climate Change (UNFCCC) and thus serves as a direct evaluation of that inventory. Emissions are optimized with a Gaussian mixture model (GMM) at up to 0.25 degrees x 0.3125 degrees resolution. The optimization is done analytically assuming log-normally distributed errors on prior emissions. Errors and information content on the optimized estimates are obtained directly from the analytical solution and also through a 36-member inversion ensemble. Our best estimate for total anthropogenic emissions in China is 65.0 (57.7-68.4) Tg a(-1), where parentheses indicate the uncertainty range determined by the inversion ensemble. Contributions from individual sectors include 16.6 (15.6-17.6) Tg a(-1) for coal, 2.3 (1.8-2.5) for oil, 0.29 (0.23-0.32) for gas, 17.8 (15.1-21.0) for livestock, 9.3 (8.2-9.9) for waste, 11.9 (10.7-12.7) for rice paddies, and 6.7 (5.8-7.1) for other sources. Our estimate is 21% higher than the Chinese inventory reported to the UNFCCC (53.6 Tg a(-1)), reflecting upward corrections to emissions from oil (+147 %), gas (+61 %), livestock (+37 %), waste (+41 %), and rice paddies (+34 %), but downward correction for coal (-15 %). It is also higher than previous inverse studies (43-62 Tg a(-1)) that used the much sparser GOSAT satellite observations and were conducted at coarser resolution. We are in particular better able to separate coal and rice emissions. Our higher livestock emissions are attributed largely to northern China where GOSAT has little sensitivity. Our higher waste emissions reflect at least in part a rapid growth in wastewater treatment in China. Underestimate of oil emissions in the UNFCCC report appears to reflect unaccounted-for super-emitting facilities. Gas emissions in China are mostly from distribution, in part because of low emission factors from production and in part because 42 % of the gas is imported. Our estimate of emissions per unit of domestic gas production indicates a low life-cycle loss rate of 1.7 % (1.3 %-1.9 %), which would imply net climate benefits from the current coal-to-gas energy transition in China. However, this small loss rate is somewhat misleading considering China's high gas imports, including from Turkmenistan where emission per unit of gas production is very high.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000844565500001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273107
作者单位	Harvard University; Sun Yat Sen University; Peking University; University of Minnesota System; University of Minnesota Twin Cities
推荐引用方式 GB/T 7714	Chen, Zichong,Jacob, Daniel J.,Nesser, Hannah,et al. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations[J],2022,22(16):18.
APA	Chen, Zichong.,Jacob, Daniel J..,Nesser, Hannah.,Sulprizio, Melissa P..,Lorente, Alba.,...&Yu, Xueying.(2022).Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(16),18.
MLA	Chen, Zichong,et al."Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.16(2022):18.