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ON USING INVERSE METHODS FOR RESOLVING EMISSIONS WITH LARGE SPATIAL INHOMOGENEITIES

机译:逆方法解决空间不均匀性大的排放问题

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We apply an inverse method to estimate the carbon monoxide emissions in Atlanta, Georgia. The resultant carbon monoxide inventory is unrealistically characterized by temporal oscillations on the frequency of 1 hour. We suspect that the difficulty in deducing the emissions is due to inhomogeneities in the spatial distribution of the emissions. In several controlled experiments we reproduce the oscillations by introducing relatively small errors into the spatial distribution of the emission inventory. In similar experiments with isoprene in which the emissions are more homogeneous, we do not find this problem. These results are discussed in the context of previous inverse studies of carbon monoxide and isoprene. [References: 28]
机译:我们采用逆方法估算乔治亚州亚特兰大的一氧化碳排放量。所产生的一氧化碳库存以1小时的频率上的暂时振荡为特征,这是不切实际的。我们怀疑,估算排放量的困难是由于排放物的空间分布不均匀造成的。在一些受控实验中,我们通过将相对较小的误差引入排放清单的空间分布中来再现振荡。在异戊二烯的类似实验中,排放更加均匀,我们没有发现这个问题。在先前对一氧化碳和异戊二烯的反向研究的背景下讨论了这些结果。 [参考:28]

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