Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants
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- Kun Mo Lee & Min Hyeok Lee & Jong Seok Lee & Joo Young Lee, 2020. "Uncertainty Analysis of Greenhouse Gas (GHG) Emissions Simulated by the Parametric Monte Carlo Simulation and Nonparametric Bootstrap Method," Energies, MDPI, vol. 13(18), pages 1-15, September.
- Sabrina Hempel & Diliara Willink & David Janke & Christian Ammon & Barbara Amon & Thomas Amon, 2020. "Methane Emission Characteristics of Naturally Ventilated Cattle Buildings," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
- Bożena Króliczewska & Ewa Pecka-Kiełb & Jolanta Bujok, 2023. "Strategies Used to Reduce Methane Emissions from Ruminants: Controversies and Issues," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
- 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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Keywords
greenhouse gas emission; ruminant livestock; uncertainty analysis; sensitivity analysis; methane; carbon dioxide; nitrous oxide; EcoPrecision framework;All these keywords.
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