Uncertainty Assessment of Emission Factors for Pinus densiflora using Monte Carlo Simulation Technique

• Published in: Journal of Korean Forestry Society Vol. 102; no. 4
• Main Authors: Pyo, J.K., Korea Forest Research Institute, Seoul, Republic of Korea, Son, Y.M., Korea Forest Research Institute, Seoul, Republic of Korea, Jang, G.M., Korea Forestry Promotion Institute. Seoul, Republic of Korea, Lee, Y.J., Kongju National University, Yesan, Republic of Korea
• Format: Journal Article
• Language: Korean
• Published: 01.12.2013
• Subjects: BIOMASA; BIOMASS; biomass/carbon database, emission factor, monte carlo simulation, uncertainty, IPCC guideline; BIOMASSE; CARBON; CARBONE; CARBONO
• ISSN: 0445-4650

The purpose of this study was to calculate uncertainty of emission factor collected data and to evaluate the applicability of Monte Carlo simulation technique. To estimate the distribution of emission factors (Such as Basic wood density, Biomass expansion factor, and Root-to-shoot ratio), four probability density functions (Normal, Lognormal, Gamma, and Weibull) were used. The two sample Kolmogorov-Smirnov test and cumulative density figure were used to compare the optimal probability density function. It was observed that the basic wood density showed the gamma distribution, the biomass expansion factor results the log-normal distribution, and root-shoot ratio showd the normal distribution for Pinus densiflora in the Gangwon region; the basic wood density was the normal distribution, the biomass expansion factor was the gamma distribution, and root-shoot ratio was the gamma distribution for Pinus densiflora in the central region, respectively. The uncertainty assessment of emission factor were upper 62.1%, lower -52.6% for Pinus densiflora in the Gangwon region and upper 43.9%, lower -34.5% for Pinus densiflora in the central region, respectively.