荷兰Lutjewad甲烷来源的特征,使用准连续同位素组成测量

M. Menoud, C. van der Veen, B. Scheeren, Huilin Chen, Barbara Szénási, R. Morales, I. Pison, P. Bousquet, D. Brunner, T. Röckmann
{"title":"荷兰Lutjewad甲烷来源的特征,使用准连续同位素组成测量","authors":"M. Menoud, C. van der Veen, B. Scheeren, Huilin Chen, Barbara Szénási, R. Morales, I. Pison, P. Bousquet, D. Brunner, T. Röckmann","doi":"10.1080/16000889.2020.1823733","DOIUrl":null,"url":null,"abstract":"Abstract Despite the importance of methane for climate change mitigation, uncertainties regarding the temporal and spatial variability of the emissions remain. Measurements of CH4 isotopic composition are used to partition the relative contributions of different emission sources. We report continuous isotopic measurements during 5 months at the Lutjewad tower (north of the Netherlands). Time-series of χ(CH4), δ13C-CH4, and δD-CH4 in ambient air were analysed using the Keeling plot method. Resulting source signatures ranged from −67.4 to −52.4‰ vs V-PDB and from −372 to −211‰ vs V-SMOW, for δ13C and δD respectively, indicating a prevalence of biogenic sources. Analysis of isotope and wind data indicated that (i) emissions from off-shore oil and gas platforms in the North Sea were not detected during this period, (ii) CH4 from fossil fuel related sources was usually advected from the east, pointing towards the Groningen gas field or regions further east in Germany. The results from two atmospheric transport models, CHIMERE and FLEXPART-COSMO, using the EDGAR v4.3.2 and TNO-MACC III emission inventories, reproduce χ(CH4) variations relatively well, but the isotope signatures were over-estimated by the model compared to the observations. Accounting for geographical variations of the δ13C signatures from fossil fuel emissions improved the model results significantly. The difference between model and measured isotopic signatures was larger when using TNO-MACC III compared to EDGAR v4.3.2 inventory. Uncertainties in the isotope signatures of the sources could explain a significant fraction of the discrepancy, thus a better source characterisation could further strengthen the use of isotopes in constraining emissions.","PeriodicalId":22320,"journal":{"name":"Tellus B: Chemical and Physical Meteorology","volume":"46 1","pages":"1 - 20"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements\",\"authors\":\"M. Menoud, C. van der Veen, B. Scheeren, Huilin Chen, Barbara Szénási, R. Morales, I. Pison, P. Bousquet, D. Brunner, T. Röckmann\",\"doi\":\"10.1080/16000889.2020.1823733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Despite the importance of methane for climate change mitigation, uncertainties regarding the temporal and spatial variability of the emissions remain. Measurements of CH4 isotopic composition are used to partition the relative contributions of different emission sources. We report continuous isotopic measurements during 5 months at the Lutjewad tower (north of the Netherlands). Time-series of χ(CH4), δ13C-CH4, and δD-CH4 in ambient air were analysed using the Keeling plot method. Resulting source signatures ranged from −67.4 to −52.4‰ vs V-PDB and from −372 to −211‰ vs V-SMOW, for δ13C and δD respectively, indicating a prevalence of biogenic sources. Analysis of isotope and wind data indicated that (i) emissions from off-shore oil and gas platforms in the North Sea were not detected during this period, (ii) CH4 from fossil fuel related sources was usually advected from the east, pointing towards the Groningen gas field or regions further east in Germany. The results from two atmospheric transport models, CHIMERE and FLEXPART-COSMO, using the EDGAR v4.3.2 and TNO-MACC III emission inventories, reproduce χ(CH4) variations relatively well, but the isotope signatures were over-estimated by the model compared to the observations. Accounting for geographical variations of the δ13C signatures from fossil fuel emissions improved the model results significantly. The difference between model and measured isotopic signatures was larger when using TNO-MACC III compared to EDGAR v4.3.2 inventory. Uncertainties in the isotope signatures of the sources could explain a significant fraction of the discrepancy, thus a better source characterisation could further strengthen the use of isotopes in constraining emissions.\",\"PeriodicalId\":22320,\"journal\":{\"name\":\"Tellus B: Chemical and Physical Meteorology\",\"volume\":\"46 1\",\"pages\":\"1 - 20\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tellus B: Chemical and Physical Meteorology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/16000889.2020.1823733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tellus B: Chemical and Physical Meteorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/16000889.2020.1823733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

尽管甲烷对减缓气候变化具有重要意义,但其排放的时空变异性仍存在不确定性。CH4同位素组成测量用于划分不同排放源的相对贡献。我们报告了在Lutjewad塔(荷兰北部)连续5个月的同位素测量。采用基林图法分析了环境空气中的χ(CH4)、δ13C-CH4和δD-CH4的时间序列。δ13C和δD相对于V-PDB的特征值分别为- 67.4‰~ - 52.4‰,相对于V-SMOW的特征值为- 372‰~ - 211‰,表明该区存在生物源。同位素和风力数据分析表明:(i)在此期间未检测到北海海上油气平台的排放;(ii)化石燃料相关来源的CH4通常从东部平流,指向格罗宁根气田或德国更东边的地区。CHIMERE和FLEXPART-COSMO两种大气输送模式使用EDGAR v4.3.2和TNO-MACC III排放清单的结果较好地再现了χ(CH4)变化,但与观测值相比,该模式高估了同位素特征。考虑来自化石燃料排放的δ13C特征的地理变化显著改善了模型结果。与EDGAR v4.3.2清单相比,使用TNO-MACC III时,模型和测量的同位素特征之间的差异更大。来源同位素特征的不确定性可以解释很大一部分差异,因此更好的来源特征可以进一步加强同位素在限制排放方面的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements
Abstract Despite the importance of methane for climate change mitigation, uncertainties regarding the temporal and spatial variability of the emissions remain. Measurements of CH4 isotopic composition are used to partition the relative contributions of different emission sources. We report continuous isotopic measurements during 5 months at the Lutjewad tower (north of the Netherlands). Time-series of χ(CH4), δ13C-CH4, and δD-CH4 in ambient air were analysed using the Keeling plot method. Resulting source signatures ranged from −67.4 to −52.4‰ vs V-PDB and from −372 to −211‰ vs V-SMOW, for δ13C and δD respectively, indicating a prevalence of biogenic sources. Analysis of isotope and wind data indicated that (i) emissions from off-shore oil and gas platforms in the North Sea were not detected during this period, (ii) CH4 from fossil fuel related sources was usually advected from the east, pointing towards the Groningen gas field or regions further east in Germany. The results from two atmospheric transport models, CHIMERE and FLEXPART-COSMO, using the EDGAR v4.3.2 and TNO-MACC III emission inventories, reproduce χ(CH4) variations relatively well, but the isotope signatures were over-estimated by the model compared to the observations. Accounting for geographical variations of the δ13C signatures from fossil fuel emissions improved the model results significantly. The difference between model and measured isotopic signatures was larger when using TNO-MACC III compared to EDGAR v4.3.2 inventory. Uncertainties in the isotope signatures of the sources could explain a significant fraction of the discrepancy, thus a better source characterisation could further strengthen the use of isotopes in constraining emissions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信