Inverse modelling of CF4 and NF3 emissions in East Asia
Inverse modelling of CF4 and NF3 emissions in East Asia
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DOI：
10.5194/acp-18-13305-2018
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发表时间：
2018-09
影响因子：
6.3
通讯作者：
T. Arnold;A. Manning;Jooil Kim;Shanlan Li;H. Webster;D. Thomson;J. Mühle;R. Weiss;Sunyoung Park;S. O'Doherty
中科院分区：
文献类型：
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作者：
T. Arnold;A. Manning;Jooil Kim;Shanlan Li;H. Webster;D. Thomson;J. Mühle;R. Weiss;Sunyoung Park;S. O'Doherty
抽象的。大气中四氟化碳（CF 4）和三氟化氮（NF 3）丰度的十年趋势已得到很好的表征，并提供了全球总排放量的时间序列。然而，目前关于排放量在全球总量中所占比例的信息很少。我们使用了一套独特的测量2008年至2015年之间的Gosan站，济州岛，韩国（先进的全球大气气体实验网络的一部分），连同大气传输模型，使这些气体在东亚的空间分解排放估计。由于这项研究的良好先验信息的可用性差，我们的排放量估计在很大程度上受到大气测量的影响。值得注意的是，由于测量位置的原因，我们能够突出韩国NF 3和CF 4的排放热点。我们计算出中国和韩国2008年至2015年的CF 4排放量相当稳定，2015年的排放量分别为4.3±2.7和0.36±0.11千兆克/年。2015年韩国NF 3的排放量估计值相对较小，为0.6±0.07 Gg yr-1，相当于该国CO2排放量的1.6%。我们还应用我们的方法来计算2008年和2012年之间的CHF 3（HFC-23）的排放量，我们的结果发现与其他研究很好的协议，这有助于支持我们选择的方法CF 4和NF 3。
Abstract. 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±0.11 Gg yr−1, respectively. Emission estimates of NF3 from South Korea could be made with relatively small uncertainty at 0.6±0.07 Gg yr−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.