气候变化领域集成服务门户(CCPortal): Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions

CCPortal

DOI	10.5194/acp-22-15527-2022
	Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions
	Kelly, Bryce F. J.; Lu, Xinyi; Harris, Stephen J.; Neininger, Bruno G.; Hacker, Jorg M.; Schwietzke, Stefan; Fisher, Rebecca E.; France, James L.; Nisbet, Euan G.; Lowry, David; van der Veen, Carina; Menoud, Malika; Rockmann, Thomas
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	15527
结束页码	15558
卷号	22 期号:23 页码:32
英文摘要	In-flight measurements of atmospheric methane (CH4(a)) and mass balance flux quantification studies can assist with verification and improvement in the UNFCCC National Inventory reported CH4 emissions. In the Surat Basin gas fields, Queensland, Australia, coal seam gas (CSG) production and cattle farming are two of the major sources of CH4 emissions into the atmosphere. Because of the rapid mixing of adjacent plumes within the convective boundary layer, spatially attributing CH4(a) mole fraction readings to one or more emission sources is difficult. The primary aims of this study were to use the CH4(a) isotopic composition (delta C-13) of in-flight atmospheric air (IFAA) samples to assess where the bottom-up (BU) inventory developed specifically for the region was well characterised and to identify gaps in the BU inventory (missing sources or over- and underestimated source categories). Secondary aims were to investigate whether IFAA samples collected downwind of predominantly similar inventory sources were useable for characterising the isotopic signature of CH4 sources (delta C-13) and to identify mitigation opportunities.IFAA samples were collected between 100-350 m above ground level (m a.g.l.) over a 2-week period in September 2018. For each IFAA sample the 2 h back-trajectory footprint area was determined using the NOAA HYSPLIT atmospheric trajectory modelling application. IFAA samples were gathered into sets, where the 2 h upwind BU inventory had > 50 % attributable to a single predominant CH4 source (CSG, grazing cattle, or cattle feedlots). Keeling models were globally fitted to these sets using multiple regression with shared parameters (background-air CH4(b) and delta C-13). For IFAA samples collected from 250-350 m a.g.l. altitude, the best-fit delta C-13 signatures compare well with the ground observation: CSG delta C-13 of -55.4 parts per thousand (confidence interval (CI) 95 % +/- 13.7 parts per thousand) versus delta C-13 of -56.7 parts per thousand to -45.6 parts per thousand; grazing cattle delta C-13 of -60.5 parts per thousand (CI 95 % +/- 15.6 parts per thousand) versus -61.7 parts per thousand to -57.5 parts per thousand. For cattle feedlots, the derived delta C-13 (-69.6 parts per thousand, CI 95 % +/- 22.6 parts per thousand), was isotopically lighter than the ground-based study (delta C-13 from -65.2 parts per thousand to -60.3 parts per thousand) but within agreement given the large uncertainty for this source. For IFAA samples collected between 100-200 m a.g.l. the delta C-13 signature for the CSG set (-65.4 parts per thousand, CI 95 % +/- 13.3 parts per thousand) was isotopically lighter than expected, suggesting a BU inventory knowledge gap or the need to extend the population statistics for CSG delta C-13 signatures. For the 100-200 m a.g.l. set collected over grazing cattle districts the delta C-13 signature (-53.8 parts per thousand, CI 95 % +/- 17.4 parts per thousand) was heavier than expected from the BU inventory. An isotopically light set had a low delta C-13 signature of -80.2 parts per thousand (CI 95 % +/- 4.7 parts per thousand). A CH4 source with this low delta C-13 signature has not been incorporated into existing BU inventories for the region. Possible sources include termites and CSG brine ponds. If the excess emissions are from the brine ponds, they can potentially be mitigated. It is concluded that in-flight atmospheric delta C-13 measurements used in conjunction with endmember mixing modelling of CH4 sources are powerful tools for BU inventory verification.
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:000896966500001
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/273356
作者单位	University of New South Wales Sydney; Flinders University South Australia; Environmental Defense Fund; University of London; Royal Holloway University London; Utrecht University
推荐引用方式 GB/T 7714	Kelly, Bryce F. J.,Lu, Xinyi,Harris, Stephen J.,et al. Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions[J],2022,22(23):32.
APA	Kelly, Bryce F. J..,Lu, Xinyi.,Harris, Stephen J..,Neininger, Bruno G..,Hacker, Jorg M..,...&Rockmann, Thomas.(2022).Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(23),32.
MLA	Kelly, Bryce F. J.,et al."Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.23(2022):32.