Meeting the demand for δ13C-CO2, δ18O-CO2, δ13C-CH4 and δ2H-CH4 Reference Materials for Climate Monitoring

Ruth Hill-Pearce, Eric Mussell-Webber, Aimee Hillier, Paul Brewer

crossref(2024)

引用 0|浏览2
暂无评分
摘要
The introduction of widely available optical isotopic ratio spectroscopy (OIRS) has enabled in-field measurements of isotopologues of carbon dioxide and methane (CO2 and CH4), allowing the source apportionment of greenhouse gases through distinguishing between natural and anthropogenic emissions of CO2 and CH4. At present, there are no existing internationally accepted reference materials which provide traceability for the calibration of δ¹³C-CO2, δ¹³C-CH4, δ2H-CH4 and δ¹8O-CO2 OIRS measurements which meet the World Metrological Organisation’s data compatibility goals to underpin global measurements. We present the latest progress achieved during the EMPIR project Stable Isotope Metrology to Enable Climate Action and Regulation (STELLAR), on the development of primary reference materials (PRMs) which are traceable to the SI for amount fraction and existing isotope ratio scales. The production and certification of pure and ambient amount fraction reference materials is discussed alongside the sensitivities of the production and sampling process to isotopic fractionation. Methodologies for mitigating fractionation during PRM production and sampling will be outlined. The production of the air matrix and the effects of trace gases and water vapour in the air matrix on the isotope ratio of the ambient PRMs is presented. The effects of trace gases in the matrix on the measurement of the isotope ratio of the ambient amount fraction CO2 and CH4 PRMs is also discussed for OIRS techniques. We demonstrate achievement of the targeted uncertainties in δ¹³CVPDB-CO2 of ± 0.1 ‰ and ± 0.5 ‰ for δ¹8OVPDB-CO2. Uncertainty budgets are presented and the main contributions to the uncertainty budget are highlighted. The stability of the isotope ratio of the PRMs with pressure and time (2 years) is also discussed alongside comparisons with existing scales for amount fraction.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要