• Journal of Energy Engineering
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• v.16 no.4
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• pp.194-201
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• 2007

HHV (Higher Heating Value) of biomass fuel is calculated by using ultimate analysis data and has been proposed by using correlation equation, and compared with the experiment the adequacy about each correlation equation with measured HHV and examined. Samples used for experiment are prepared by mixing biomass (i.e. rice husk and sawdust) with organic waste (i.e. polystyrene polypropylene and waste paper) of 10, 30, 50 wt% of composition. Ultimate analysis and measurement of HHV are respectively measured by using KS standard method. The average error value of estimated HHV results is about 880 kJ/kg(about 3.8% of measured HHV). The corresponding correlation coefficients ($R^2$) of experimental result and estimated HHV result are $0.957{\sim}0.996$.

• Journal of Korean Society of Forest Science
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• v.95 no.4
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• pp.398-404
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• 2006

This study was conducted to compare the biomass and annual net production between 60 to 70-year-old Quercus mongolica stand at 1,300m, 1,000m, and 800m from sea level in Mt. Joongwang. The total biomass and annual net production were 211.6 ton/ha and 12.7 ton/ha/yr in northern aspect and 200.3 ton/ha and 14.0 ton/ha/yr in southern aspect of 1,300m from sea level, 252.9 ton/ha and 17.3 ton/ha/yr in northern aspect and 212.2 ton/ha and 14.2 ton/ha/yr in southern aspect of 1,000m from sea level, and 256.7 ton/ha and 14.5 ton/ha/yr in northern aspect and 232.4 ton/ha and 14.6 ton/ha/yr in southern aspect of 800m from sea level. The obtained results showed significant differences in annual net production among the study stands with respect to altitude, while did not those with respect to aspect.

• Journal of agriculture & life science
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• v.45 no.2
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• pp.15-20
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• 2011

This study was conducted to estimate the aboveground biomass and net primary production of 40 year old Pinus rigida forest in Sancheong, Gyeongnam province. The aboveground biomass was $127.7Mg\;ha^{-1}$ and $103.1Mg\;ha^{-1}$ of which were found from stem, $17.2Mg\;ha^{-1}$ from branch and $7.4Mg\;ha^{-1}$ from leaf. Biomass distribution ratio of Pinus rigida stands showed the highest in stem wood with 71.1%, followed by the branch with 13.5%, stem bark with 9.6% and lastly the leaf with 5.8%. Net primary production of aboveground biomass was $10.4Mg\;ha^{-1}$ and $3.6Mg\;ha^{-1}$ were found from stem, $2.2Mg\;ha^{-1}$ from branch, $1.3Mg\;ha^{-1}$ from twig and $2.8Mg\;ha^{-1}$ from leaf. Net primary production distribution ratio of Pinus rigida was 34.6% on stem wood, 26.9 on leaf, 21.2% on branch, 12.5% on twig and 4.8% on stem bark.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.259-268
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• 2012

This paper aims to estimate the carbon dioxide stocks in forests using airborne LiDAR data with a density of approximate 4.4 points per meter square. To achieve this goal, a processing chain consisting of bare earth Digital Terrain Model(DTM) extraction and individual tree top detection has been developed. As results of this experiment, the reliable DTM with type-II errors of 3.32% and tree positions with overall accuracy of 66.26% were extracted in the study area. The total estimated carbon dioxide stocks in the study area using extracted 3-D forests structures well suited with the traditional method by field measurements upto 7.2% error level. This results showed that LiDAR technology is highly valuable for replacing the existing forest resources inventory.

• Journal of Korean Society of Forest Science
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• v.112 no.2
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• pp.127-135
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• 2023

This study aimed to develop biomass allometric equations and estimate carbon emission factors, such as the wood density, biomass-expansion factor, and root-to-shoot ratio, for Platanus occidentalis and Metasequoia glyptostroboides planted in urban areas. Twenty M. glyptostroboides and 25 P. occidentalis trees were harvested, and the dry weights and stem volumes of stems, branches, leaves, and roots (>5 mm) were measured. The wood densities of M. glyptostroboides and P. occidentalis were 0.293 ± 0.008 g cm^-3 and 0.509 ± 0.018 g cm^-3, and the biomass-expansion factors were 1.738 ± 0.031 and 1.561 ± 0.035. The root-to-shoot ratios were 0.446 ± 0.009 and 0.402 ± 0.012. The uncertainty tests (coefficient of variation, %) gave 2.8% and 3.5% values for wood density, 1.8% and 2.3% for biomass-expansion factor, and 2.1% and 2.9% for root-to-shoot ratio, respectively. Among the developed allometric equations, Model I using the diameter at breast height (DBH) was suitable. The allometric equations of M. glyptostroboides and P. occidentalis above ground were y = 1.679 (DBH)^1.315 and y = 0.505 (DBH)^1.896, and the allometric equations of the root and total were y = 0.746 (DBH)^1.315, y = 0.301 (DBH)^1.751, y = 2.422 (DBH)^1.316, and y = 0.787 (DBH)^1.858. If the carbon-emission factors of this study and biomass allometric equations of the three developed models are used to estimate the carbon storage and biomass of urban forests, errors caused by not considering the use of fixed factors and the environmental differences can be reduced.

• Journal of Korea Foresty Energy
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• v.24 no.2
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• pp.37-45
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• 2005

This study presents a method how to estimate the change of stand volume, the stand biomass and the carbon removals, using dynamic stand growth model according to whether the practices for forest management are implemented or not. As a result, it shows that the rate of stand change was significantly high if the practices were implemented. Consequently, the change of carbon removals was also high. The carbon removals at the stand where the practices were not implemented, was estimated about 0.27tC/ha. And the carbon removals at the stand where the practices were implemented, was estimated 166.02tC/ha(thinning from above) and 163.75tC/ha(thinning from below). It is confirmed that the thinning activities has a great influence on the change of carbon removals and there was little difference of the carbon removals between thinning types. From this result, it is proved that forest management like thinning activities is prerequisite condition to improve the carbon removals of stand.

• Korean Journal of Environmental Biology
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• v.42 no.2
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• pp.193-206
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• 2024

This study aimed to quantify changes in forest cover and carbon storage of Korean Peninsular during the last two decades by integrating field measurement, satellite remote sensing, and modeling approaches. Our analysis based on 30-m Landsat data revealed that the forested area in Korean Peninsular had diminished significantly by 478,334 ha during the period of 2000-2019, with South Korea and North Korea contributing 51.3% (245,725 ha) and 48.6% (232,610 ha) of the total change, respectively. This comparable pattern of forest loss in both South Korea and North Korea was likely due to reduced forest deforestation and degradation in North Korea and active forest management activity in South Korea. Time series of above ground biomass (AGB) in the Korean Peninsula showed that South and North Korean forests increased their total AGB by 146.4Tg C (AGB at 2020=357.9Tg C) and 140.3Tg C (AGB at 2020=417.4Tg C), respectively, during the last two decades. This could be translated into net AGB increases in South and North Korean forests from 34.8 and 29.4 Mg C ha^-1 C to 58.9(+24.1) and 44.2(+14.8) Mg C ha^-1, respectively. It indicates that South Korean forests are more productive during the study period. Thus, they have sequestered more carbon. Our approaches and results can provide useful information for quantifying national scale forest cover and carbon dynamics. Our results can be utilized for supporting forest restoration planning in North Korea

• Proceedings of the Korea Forestry Energy Research Society Conference
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• 2011.02a
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• pp.116-119
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• 2011

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.177-185
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• 2022

In this study, the economic feasibility of a local energy facility that uses forest biomass as an energy source was assessed. We analyzed profitability using data from the Forest Energy Self-sufficient Village Project financed by the Korea Forest Service. The energy facility has a cogeneration generator and wood chip boiler. Wood chip, which has lower heat value and is cheaper than wood pellets, is used as fuel. Revenue comes from the sale of electricity, heat, and renewable energy certificates. Additionally, we considered the sale of carbon credits as substitutes for fossil fuels. The expenditure consists of fuel costs and fixed costs, and the initial investment is treated as a sunk cost. Under the condition of a 55% operation rate and wood chip price of 95,000 KRW per ton, the annual net revenue is positive. Crucial factors for managing the facility sustainably are operation rate and fuel cost. A simulation in which two factors were changed showed that the annual net revenue is negative with a 50% operation rate and 100,000 KRW per ton of wood chip price. To improve net revenue, an increase in the operation rate or a decrease in the wood chip price is required. Additionally, selling carbon credits will make the operation of the facility more profitable. Furthermore, the payment required to procure wood chips could contribute to the rural economy. To foster the use of forest biomass for energy, the price for heat supplied from renewable energy sources should be subsidized.

• Journal of Korea Foresty Energy
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• v.24 no.2
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• pp.10-15
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• 2005

This study was achieved by purpose to measure carbon emissions by conversion of forest land in Korea to correspond to UNFCCC. The conversion of forest land data extracted in forest basis statistical data during the latest 5 years from 2000 to 2004, and biomass carbon emissions used biomass extension factor by forest types and carbon conversion factor. During the latest 5 years, the forest land of the annual means about 7,200ha was conversed as other expenditure and tree volume of the annual mean about $212,000m^3$ was felled. It was calculated that total biomass carbon emissions by conversion of the forest land emits annual mean 105,000tC during the latest 5 years. Biomass carbon emissions by forest types was calculated that coniferous forest emits 54,000tC and deciduous forest emits 51,000tC. It was calculated that carbon emissions per ha by conversion of the forest land emits annual mean 14.4tC/ha during the latest 5 years. Seeing by forest types, coniferous forest emits 13.3tC/ha and deciduous forest emits 18.5tC/ha. Therefore, it was shown that deciduous forest emits more carbon per unit area than coniferous forest.