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DOI10.5194/acp-22-1229-2022
An integrated analysis of contemporary methane emissions and concentration trends over China using in situ and satellite observations and model simulations
Tan, Haiyue; Zhang, Lin; Lu, Xiao; Zhao, Yuanhong; Yao, Bo; Parker, Robert J.; Boesch, Hartmut
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码1229
结束页码1249
卷号22期号:2页码:21
英文摘要China, being one of the major emitters of greenhouse gases, has taken strong actions to tackle climate change, e.g., to achieve carbon neutrality by 2060. It also becomes important to better understand the changes in the atmospheric mixing ratios and emissions of CH4, the second most important human-influenced greenhouse gas, in China. Here we analyze the sources contributing to the atmospheric CH4 mixing ratios and their trends in China over 2007-2018 using the GEOS-Chem model simulations driven by two commonly used global anthropogenic emission inventories: the Emissions Database for Global Atmospheric Research (EDGAR v4.3.2) and the Community Emissions Data System (CEDS). The model results are interpreted with an ensemble of surface, aircraft, and satellite observations of CH4 mixing ratios over China and the Pacific region. The EDGAR and CEDS estimates show considerable differences reflecting large uncertainties in estimates of Chinese CH4 emissions. Chinese CH4 emission estimates based on EDGAR and natural sources increase from 46.7 Tg per annum (Tg a(-1)) in 1980 to 69.8 Tg a(-1) in 2012 with an increase rate of 0.7 Tg a(-2) , and estimates with CEDS increase from 32.9 Tg a(-1) in 1980 and 76.7 Tg a(-1) in 2014 (a much stronger trend of 1.3 Tg a(-2) over the period). Both surface, aircraft, and satellite measurements indicate CH4 increase rates of 7.0-8.4 ppbv a(-1) over China in the past decade. We find that the model simulation using the CEDS inventory and interannually varying OH levels can best reproduce these observed CH4 mixing ratios and trends over China. Model results over China are sensitive to the global OH level, with a 10 % increase in the global tropospheric volume-weighted mean OH concentration presenting a similar effect to that of a 47 Tg a(-1) decrease in global CH4 emissions. We further apply a tagged tracer simulation to quantify the source contributions from different emission sectors and regions. We find that domestic CH4 emissions account for 14.0 % of the mean surface mixing ratio and drive 66.7 % of the surface trend (mainly via the energy sector) in China over 2007-2018. We emphasize that intensive CH4 measurements covering eastern China will help us better assess the driving factors of CH4 mixing ratios and support the emission mitigation in China.
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:000748748300001
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/273724
作者单位Peking University; Sun Yat Sen University; Ocean University of China; University of Leicester; University of Leicester
推荐引用方式
GB/T 7714
Tan, Haiyue,Zhang, Lin,Lu, Xiao,et al. An integrated analysis of contemporary methane emissions and concentration trends over China using in situ and satellite observations and model simulations[J],2022,22(2):21.
APA Tan, Haiyue.,Zhang, Lin.,Lu, Xiao.,Zhao, Yuanhong.,Yao, Bo.,...&Boesch, Hartmut.(2022).An integrated analysis of contemporary methane emissions and concentration trends over China using in situ and satellite observations and model simulations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(2),21.
MLA Tan, Haiyue,et al."An integrated analysis of contemporary methane emissions and concentration trends over China using in situ and satellite observations and model simulations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.2(2022):21.
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