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Wine ethanol 14C as a tracer for fossil fuel CO2 emissions in Europe: Measurements and model comparison

机译:葡萄酒乙醇14C作为欧洲化石燃料CO2排放的示踪剂:测量和模型比较

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14C (radiocarbon) in atmospheric CO2 is the most direct tracer for the presence of fossil-fuel-derived CO2 (CO2-ff). We demonstrate the 14C measurement of wine ethanol as a way to determine the relative regional atmospheric CO2-ff concentration compared to a background site (“regional CO2-ff excess”) for specific harvest years. The carbon in wine ethanol is directly back traceable to the atmospheric CO2 that the plants assimilate. An important advantage of using wine is that the atmosphere can be monitored annually back in time. We have analyzed a total of 165 wines, mainly from harvest years 1990–1993 and 2003–2004, among which is a semicontinuous series (1973–2004) of wines from one vineyard in southwest Germany. The results show clear spatial and temporal variations in the regional CO2-ff excess values. We have compared our measured regional CO2-ff excess values of 2003 and 2004 with those simulated by the REgional MOdel (REMO). The model results show a bias of almost +3 parts per million (ppm) CO2-ff compared with those of the observations. The modeled differences between 2003 and 2004, however, which can be used as a measure for the variability in atmospheric mixing and transport processes, show good agreement with those of the observations all over Europe. Correcting for interannual variations using modeled data produces a regional CO2-ff excess signal that is potentially useful for the verification of trends in regional fossil fuel consumption. In this fashion, analyzing 14C from wine ethanol offers the possibility to observe fossil fuel emissions back in time on many places in Europe and elsewhere.
机译:大气中二氧化碳中的14 C(放射性碳)是化石燃料衍生的二氧化碳(CO2-ff)的最直接示踪剂。我们证明了葡萄酒乙醇的14 C测量是确定特定收获年份与背景站点相比的相对区域大气CO2-ff浓度的一种方法(“区域CO2-ff过量”)。葡萄酒乙醇中的碳可直接追溯到植物吸收的大气CO2中。使用葡萄酒的一个重要优点是可以每年一次对大气进行监控。我们分析了165种葡萄酒,主要来自1990-1993年和2003-2004年的收成年份,其中包括来自德国西南部一个葡萄园的半连续系列(1973-2004年)的葡萄酒。结果表明,区域CO2-ff超值存在明显的时空变化。我们将2003年和2004年测得的区域CO2-ff超值与区域模型(REMO)所模拟的值进行了比较。与观察结果相比,模型结果显示偏差几乎为百万分之三(ppm)CO2-ff。但是,2003年和2004年之间的模型差异可以用来衡量大气混合和运输过程中的变异性,与欧洲各地的观测结果显示出很好的一致性。使用建模数据校正年际变化会产生区域CO2-ff过量信号,这对于验证区域化石燃料消耗趋势具有潜在的帮助。以这种方式,分析葡萄酒乙醇中的14 C可以在欧洲和其他地方的许多地方及时观察化石燃料的排放。

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