Titlebook: Uncertainties in Greenhouse Gas Inventories; Expanding Our Perspe Jean P. Ometto,Rostyslav Bun,Zbigniew Nahorski Book 2015 Springer Interna

鋼筆尖

荒唐

修剪過的樹籬

https://doi.org/10.1007/978-3-319-15901-0Emission inventories; Emission reduction; Emissions of greenhouse gases; Post-Kyoto international clima

宣誓書

不能強迫我

咆哮

Substance-Abuse

KIN

The improvement of greenhouse gas inventory as a tool for reduction emission uncertainties for oper 2009 with the use of both methods. The quantitative uncertainty assessment of the calculations was performed, and the outcomes were compared. The comparison showed that the estimates made with the use of higher tier method resulted in higher accuracy and lower uncertainties (26 % respectively compared to previously derived 54 %).

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Improving resolution of a spatial air pollution inventory with a statistical inference approach, fourfold allocation benefited greatly from incorporation of the spatial component, while for the ninefold allocation this advantage was limited, but still evident. In addition, the proposed method allows correction of the prediction bias encountered for the upper range emissions in the linear regression models.

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