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Emissions of greenhouse gases attributable to the activities of the land transport: modelling and analysis using I-CIR stochastic diffusion-The case of Spain

机译:陆地运输活动引起的温室气体排放:利用I-CIR随机扩散进行建模和分析-以西班牙为例

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摘要

In this study, carried out on the basis of the conclusions and methodological recommendations of the Fourth Assessment Report (2007) of the International Panel on Climate Change (IPCC), we consider the emissions of greenhouse gases (GHG), and particularly those of CO_2, attributable to the activities of land transport, for all sectors of the economy, as these constitute a significant proportion of total GHG emissions. In particular, the case of Spain is an example of a worrying situation in this respect, both in itself and in the context of the European Union. To analyse the evolution, in this case, of such emissions, to enable medium-term forecasts to be made and to obtain a model that will enable us to analyse the effects of possible corrector mechanisms, we have statistically fitted a inverse Cox-Ingersoll-Ross (I-CIR) type nonlinear stochastic diffusion process, on the basis of the real data measured for the period 1990-2004, during which the Kyoto protocol has been applicable. We have studied the evolution of the trend of these emissions using estimated trend functions, for which purpose probabilistic complements such as trend functions and stationary distribution are incorporated, and a statistical methodology (estimation and asymptotic inference) for this diffusion, these tools being necessary for the application of the analytical methodology proposed.
机译:在这项研究的基础上,根据国际气候变化专门委员会(IPCC)第四次评估报告(2007)的结论和方法建议,我们考虑了温室气体(GHG)的排放,尤其是CO_2的排放归因于陆路运输活动,涉及所有经济部门,因为这些构成了温室气体总排放量的很大一部分。特别是,西班牙本身就是在这方面以及在欧洲联盟范围内令人担忧的局势的一个例子。为了在这种情况下分析这种排放的演变情况,以使能够进行中期预测并获得使我们能够分析可能的校正器机制影响的模型,我们在统计上拟合了逆Cox-Ingersoll- Ross(I-CIR)类型的非线性随机扩散过程,是基于1990-2004年期间测得的实际数据得出的,在此期间可以应用《京都议定书》。我们使用估计的趋势函数研究了这些排放趋势的演变,为此目的结合了诸如趋势函数和平稳分布之类的概率补语,以及用于这种扩散的统计方法(估计和渐进推断),这些工具对于建议的分析方法的应用。

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