日本地球惑星科学連合2024年大会

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セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG36] 衛星による地球環境観測

2024年5月27日(月) 13:45 〜 15:00 105 (幕張メッセ国際会議場)

コンビーナ:沖 理子(宇宙航空研究開発機構)、本多 嘉明(千葉大学環境リモートセンシング研究センター)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)、高橋 暢宏(名古屋大学 宇宙地球環境研究所)、座長:村上 浩(宇宙航空研究開発機構地球観測研究センター)、松永 恒雄(国立環境研究所地球環境研究センター/衛星観測センター)

14:00 〜 14:15

[ACG36-12] Country-level estimates of sectoral anthropogenic methane emissions by inversion of GOSAT and surface observations, and their decadal trends

*rajesh janardanan1Shamil S Maksyutov1Fenjuan Wang1Lorna Raja Nayagam1、Saroj Kumar Sahu2、Poonam Mangaraj2、Marielle Saunois3、Xin Lan4,5Tsuneo Matsunaga1 (1.SOC,NIES, Tsukuba, Japan、2.Utkal Univ., Bhubaneswar, India、3.LSCE, Paris, France、4.CIRES, Univ. of Colorado Boulder, CO, USA、5.NOAA GML, Boulder, CO, USA)

キーワード:Anthropogenic methane emissions, inverse modeling, GOSAT, methane trend, wetland methane emissions

We used a high-resolution inverse model NIES-TM-FLEXPART-VAR (NTFVAR) to estimate sectoral methane emissions using GOSAT and surface observations for the period 2009-2020 and report the country-level emission trends for each optimized sector. Our prior emissions include anthropogenic sectors from EDGAR database, oil and gas emissions from GAINS model, biomass burning emissions from GFED, and other sources following Saunois et al (2020). The model optimizes six emission categories, such as agriculture, waste, biomass burning, coal, oil and gas, and wetlands, on a biweekly time step. The estimated global total emissions show a growth rate of 2.6 Tg yr−2 (p <0.05) for the analysis period, with significant contributions from waste (1.1 Tg yr−2) and agriculture (0.09 Tg yr−2) sectors. Whereas the aggregated sectoral emissions at country-level showed statistically significant (p<0.1) trends in total posterior emissions for China (0.56 Tg yr−2), India (0.22 Tg yr−2), United States (0.65 Tg yr−2), Indonesia (0.28 Tg yr−2), and Pakistan (0.22 Tg yr−2) among the major methane emitters. Major emission sectors contributing to the country-level trends are -China (waste 0.35; oil and gas 0.07 Tg yr−2), India (agriculture 0.09; waste 0.11 Tg yr−2), United States (oil and gas 1.0; agriculture 0.07; coal -0.15 Tg yr−2), Russia (coal 0.11; oil and gas -0.42; biomass burning 0.15 Tg yr−2), Indonesia (coal 0.28 Tg yr−2), and Pakistan (agriculture 0.15 Tg yr−2; waste 0.03 Tg yr−2). In the case of wetland methane emissions, Russia (0.24 Tg yr−2) and central African countries such as Congo (0.12 Tg yr−2); Democratic Republic of Congo (0.24 Tg yr−2); Sudan (0.03 Tg yr−2), etc. have a positive trend, considerably large after 2017, whereas Bolivia (-0.1 Tg yr−2) Brazil (-0.11 Tg yr−2) and Argentina (-0.08 Tg yr−2) have a declining trend. Our results indicate the key emission sectors to be targeted on national level for efficient methane emission mitigation efforts.

Reference
Saunois, M., et al.: The Global Methane Budget 2000–2017, Earth Syst. Sci. Data, 12, 1561–1623, https://doi.org/10.5194/essd-12-1561-2020, 2020.