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Climatic Change

, Volume 124, Issue 3, pp 535–544 | Cite as

The improvement of greenhouse gas inventory as a tool for reduction emission uncertainties for operations with oil in the Russian Federation

  • Nina E. Uvarova
  • Vladimir V. Kuzovkin
  • Sergey G. Paramonov
  • Michael L. Gytarsky
Article

Abstract

The high quality inventory is an important step to greenhouse gas emission mitigation. The inventory quality is estimated by means of the uncertainty analysis. The level of uncertainty depends upon the reliability of activity data and the parameters used. An attempt has been made to improve the accuracy of the estimates through a shift from production-based method (IPCC Tier 1) (IPCC 2000) to enhanced combination of production-based and mass balance methods (IPCC Tier 2) (IPCC 2006) in the estimation of emissions from operations with oil that are key in the national greenhouse gas inventory of the Russian Federation. The IPCC Tier 2 (IPCC 2006) was adapted for the national conditions. The greenhouse gas emissions were calculated for 1990 to 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 %).

Keywords

Flare Emission Factor Emission Estimate Source Category Fugitive Emission 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors acknowledge the financial support provided by the Russian Foundation for Basic Research, which enabled their participation in the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, where the outcomes of this work were presented. Furthermore, we would like to thank Prof. Rostislav Bun and Dr. Khrystyna Hamal from the Lviv Polytechnic National University for their efforts in hosting the Workshop and providing friendly and cooperative atmosphere for interesting discussions and valuable comments, which allowed us to improve our manuscript while preparing it for the publication.

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Nina E. Uvarova
    • 1
  • Vladimir V. Kuzovkin
    • 1
  • Sergey G. Paramonov
    • 1
  • Michael L. Gytarsky
    • 1
  1. 1.Institute of Global Climate and EcologyMoscowRussian Federation

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