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Inverse modelling of CF4 and NF3 emissions in East Asia

机译:东亚CF4和NF3排放的反向建模

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Decadal trends in the atmospheric abundances of carbon tetrafluoride (CF4) and nitrogen trifluoride (NF3) have been well characterised and have provided a time series of global total emissions. Information on locations of emissions contributing to the global total, however, is currently poor. We use a unique set of measurements between 2008 and 2015 from the Gosan station, Jeju Island, South Korea (part of the Advanced Global Atmospheric Gases Experiment network), together with an atmospheric transport model, to make spatially disaggregated emission estimates of these gases in East Asia. Due to the poor availability of good prior information for this study, our emission estimates are largely influenced by the atmospheric measurements. Notably, we are able to highlight emission hotspots of NF3 and CF4 in South Korea due to the measurement location. We calculate emissions of CF4 to be quite constant between the years 2008 and 2015 for both China and South Korea, with 2015 emissions calculated at 4.3±2.7 and 0.36±0.11Ggyr?1, respectively. Emission estimates of NF3 from South Korea could be made with relatively small uncertainty at 0.6±0.07Ggyr?1 in 2015, which equates to ~1.6% of the country's CO2 emissions. We also apply our method to calculate emissions of CHF3 (HFC-23) between 2008 and 2012, for which our results find good agreement with other studies and which helps support our choice in methodology for CF4 and NF3.
机译:碳四氟化碳大气(CF4)和三氟化氮(NF3)的额外趋势已经很好地表征,并提供了全球总排放的时间序列。然而,有关为全球总额的排放地点的信息目前差。我们在韩国济州岛(先进全球大气气体实验网络的一部分的一部分)与大气输送模型中,从2008年至2015年间使用一套独特的测量仪表,以及大气运输模型,在空间上分类的这些气体的空间排放估计东亚。由于本研究的良好前提信息的可用性差,我们的排放估计主要受到大气测量的影响。值得注意的是,由于测量位置,我们能够在韩国突出NF3和CF4的排放热点。我们计算中国和韩国2008年和2015年之间CF4的排放,2015年,2015年的排放分别计算4.3±2.7和0.36±0.11ggyr?1。从韩国的NF3排放估计可以在2015年的0.6±0.07ggyr的不确定性下进行,这相当于该国二氧化碳排放量的约1.6%。我们还将我们的方法应用于计算2008年至2012年间CHF3(HFC-23)的排放,我们的结果与其他研究达成了良好的一致性,这有助于支持我们在CF4和NF3的方法中选择我们的选择。

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