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

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  • Nina Uvarova
  • Vladimir Kuzovkin
  • Sergey Paramonov
  • Michael Gytarsky

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 %). Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Nina Uvarova & Vladimir Kuzovkin & Sergey Paramonov & Michael Gytarsky, 2014. "The improvement of greenhouse gas inventory as a tool for reduction emission uncertainties for operations with oil in the Russian Federation," Climatic Change, Springer, vol. 124(3), pages 535-544, June.
    • Handle: RePEc:spr:climat:v:124:y:2014:i:3:p:535-544
    DOI: 10.1007/s10584-014-1063-x
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    References listed on IDEAS

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    1. Timothy M. Barry, 1996. "Recommendations on the Testing and Use of Pseudo‐Random Number Generators Used in Monte Carlo Analysis for Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 16(1), pages 93-105, February.
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    1. Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
    2. Bukvić, Rajko & Kartavykh, Marina & Zakharov, Vladimir, 2015. "Mechanisms and projects for reducing greenhouse gases emissions in Russia," MPRA Paper 74809, University Library of Munich, Germany, revised 2015.
    3. Bukvić, Rajko, 2017. "Ефекат Стакленика, Глобално Загревање И Кјотски Протокол [Greenhouse Effect, Global Warming and Kyoto Protocol]," MPRA Paper 83953, University Library of Munich, Germany, revised 2017.
    4. Bukvić, Rajko & Voronov, Mikhail & Chasovskikh, Viktor, 2015. "Киотский Протокол И Активность России: Механизмы Сокращения Выбросов Парниковых Газов [The Kyoto Protocol and the Activity of Russia: Mechanisms of Reducing Greenhouse Gas Emissions]," MPRA Paper 70845, University Library of Munich, Germany, revised 2015.
    5. Konstantinaviciute, Inga & Bobinaite, Viktorija, 2015. "Comparative analysis of carbon dioxide emission factors for energy industries in European Union countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 603-612.
    6. Mathieu Fortin, 2021. "Comparison of uncertainty quantification techniques for national greenhouse gas inventories," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(2), pages 1-20, February.

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