JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG47] Global Carbon Cycle Observation and Analysis

convener:Kazuhito Ichii(Chiba University), Prabir Patra(Research Institute for Global Change, JAMSTEC), Forrest M. Hoffman(Oak Ridge National Laboratory), Makoto Saito(National Institute of Environmental Studies)

[ACG47-01] Relative contributions of different methane emission categories in the continental East Asia inferred from stable carbon isotope measurements at Hateruma Station

★Invited Papers

*Taku Umezawa1, Takuya Saito1, Yasunori Tohjima1, Yukio Terao1, Akihiko Ito1 (1.National Institute of Environmental Studies)

Keywords:methane, isotope, East Asia

Methane (CH4) is a radiatively and chemically important atmospheric trace gas. Accurate understanding of its global, regional and national-scale budgets is needed for efficient mitigation actions against climate change under the Paris Agreement. To better understand distribution and magnitude of individual CH4 emission sectors in East Asia, we started measurements of stable carbon isotope ratio (δ13C) of atmospheric CH4 at Hateruma Station, Japan, using a new cryogen-free measurement system (Umezawa et al. 2020). Wintertime atmospheric CH4 variations at Hateruma Island, located ~220 km east of Taiwan, is characterized by frequent increases due to advection of air mass from the continental East Asia (Tohjima et al. 2014). During winter of 2017 to 2019, we collected series of air samples during 15 high-CH4 events and analyzed them for δ13C. By using relationship between CH4 concentration and δ13C, δ13C signatures contributing to these high-CH4 events were estimated, which ranged from −57.9 to −37.8 ‰. These values are considered to be result of CH4 source mixture of different emission sectors in northeastern China, the region which our footprint calculation mainly point to for such high-CH4 events. Combining FLEXPART-based footprint (http://db.cger.nies.go.jp/metex/flexcpp.html) and CH4 emission map (Ito et al. 2019), we examined contributions of different CH4 emission sectors on the high-CH4 events and possible corresponding variations in δ13C. The comparison showed that the source δ13C signatures estimated by observations were in most cases higher than those estimated by simulations. One possible explanation is underestimate of relative contribution of fossil fuel sectors in the simulation. More number of δ13C data and more detailed information on δ13C signatures of individual CH4 source sectors are needed for better evaluation of CH4 emission databases.

Umezawa et al. (2020) A cryogen-free automated measurement system of stable carbon isotope ratio of atmospheric methane, Journal of the Meteorological Society of Japan, https://doi.org/10.2151/jmsj.2020-007.

Tohjima et al. (2014) Temporal changes in the emissions of CH4 and CO from China estimated from CH4/CO2 and CO/CO2 correlations observed at Hateruma Island, Atmos. Chem. Phys., https://doi.org/10.5194/acp-14-1663-2014.

Ito et al. (2019) Methane budget of East Asia, 1990–2015: A bottom-up evaluation, Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2019.04.263.