Coalbed Biogenic Methane: Insights on the “Blind Spots” in Mitigation of Emissions
石炭層生物起源メタン:排出削減における「盲点」への洞察 (AI 翻訳)
R. Flores
🤖 gxceed AI 要約
日本語
本論文は、石炭層からの生物起源メタン(CH4)排出が従来の排出インベントリで過小評価されている「盲点」を体系的レビューと事例研究で明らかにする。特に、炭鉱からのガス抜きや石炭層メタン回収に伴う随伴水中の溶存CH4、廃坑からの漏出などが未計上であることを指摘。これらの排出は湿地や農業起源と同位体シグネチャが重なり、正確な帰属が課題。
English
This systematic review identifies 'blind spots' in biogenic methane emissions from coal sources, including dissolved CH4 in produced water from coalbed methane extraction and flooded abandoned mines. It highlights that current IPCC-tier estimates fail to capture these low-concentration diffuse emissions, leading to significant underreporting. The mixing of biogenic CH4 from coal with surface sources (wetlands, agriculture) complicates isotopic attribution.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本は石炭火力発電に依存し、石炭輸入国であるため、石炭採掘・ガス化に伴うメタン排出の正確な把握は、サプライチェーン排出量算定(Scope3)の精度向上に寄与する。ただし本論文の事例は米国中心で、日本の鉱山事情との直接的な接続は弱い。
In the global GX context
Globally, methane mitigation is a key short-term climate lever, and this paper underscores systematic gaps in emission inventories for coal-sourced biogenic methane. These blind spots are relevant to IPCC guidelines, national GHG inventories, and corporate Scope 1 reporting for coal mining and coalbed gas operations.
👥 読者別の含意
🔬研究者:Provides a comprehensive mapping of overlooked biogenic methane sources from coal, useful for improving emission factor models and isotopic attribution methods.
🏢実務担当者:Not directly actionable for most corporate sustainability teams; relevant only for companies involved in coal mining or coalbed methane extraction.
🏛政策担当者:Highlights the need to update national methane inventory methodologies to include coalbed biogenic methane sources beyond traditional CMM.
📄 Abstract(原文)
Biogenic or microbial methane (CH4) emissions, believed to be the main driver of the recent surge in global atmospheric CH4 emissions, have altered monitoring, measurement, and mitigation of fossil-fuel emissions. As of 1981, over 20% of the world’s natural gas reserves were biogenic in origin. Additional biogenic CH4 reserves from coal have been discovered since 1981 mixed (40–80%) with thermogenic CH4. Biogenic CH4 accumulates up to 100% in coal reservoirs in the Powder River Basin (PRB), USA. Biogenic CH4 is generated by microbial breakdown of fossil organic matter as an early-stage (primary) type during burial over geologic time and is rarely preserved. Also, biogenic CH4 is generated as a late-stage (secondary) type from recent geologic to present times and is commonly preserved. Late-stage biogenic CH4 is sustained by nutrients and microbes in meteoric/surface waters discharged into coal aquifers. Groundwater is pumped from wells in coal aquifers to desorb and produce CH4 and dewater coal mines. The co-produced water with dissolved CH4 is discharged into diverse surface aquatic systems. The emission factors (EFs) of co-produced water are 2.0522 × 10−9 Gg CH4/gal of water in the PRB and 2.0694 × 10−3 Gg CH4/well in the Black Warrior Basin, U.S. Accurate data on biogenic CH4 emissions from coal sources is a major gap in the accounting of current global groundwater-driven CH4 whose average flux is estimated to be 3.9 ± 6.2 mmol/m2/day or accounting for up to 70% of CH4 emissions from surface aquatic systems. Biogenic CH4 emissions from coal mining and coalbed gas extractions and related infrastructures are overlooked because the focus has been on coalmine methane (CMM) emissions. CMM data from ground-based measurements is highly variable and used by the Intergovernmental Panel on Climate Change three-tier system to estimate EFs for national inventories. However, 90% of CMM emissions are attributable to a small group of the most coal-consuming-and-producing countries but fails to capture other coal sources worldwide. This created gaps and “blind spots” in “unstructured” low-concentration, diffused biogenic CH4 emission data. These key “blind spots” include sources from flooded, abandoned coal mines; coalbed methane (CBM) co-produced water with dissolved CH4 and infrastructures/facilities; and groundwater drawdown from water withdrawals during coal mining and CBM extraction. Also, a critical “blind spot” is the mixing of biogenic CH4 emissions from subsurface coals with biogenic CH4 generated at the surface from wetlands, agriculture, and landfills/wastes, which grew 85% from 2008 to 2020. Limited understanding of the mixing of biogenic CH4 from diverse sources and their contributions to global methane requires accurate attribution of overlapping isotopic signatures (δ13CCH4 and δD). This paper addresses knowledge gaps in coalbed biogenic CH4 emissions by a systematic review of the literature and specific study cases, which provided insights on key “blind spots” in their mitigation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/methane5030020first seen 2026-07-25 06:02:00
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