• Environmental and Resource Economics Review
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• v.13 no.3
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• pp.441-468
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• 2004

We estimate carbon embodied in the export goods of Korea. A commodity-by-industry IO model ($CO_2$ hybrid IO model) is constructed for the estimation. In the model, all monetary units of energy commodities are converted to physical unit, carbon tons. Results show that total $CO_2$ embodied in the exports of non-energy goods of Korea equals 51.18 million carbon ton or 44% of total $CO_2$ emissions in Korea in 2000. Overall carbon intensity of export goods is estimated as 0.227 carbon ton per million Won. These findings suggest Korea's responsibility on global warming may be imputed to the countries who import and consume Korean goods. It is in accordance with the user pay principle. It is also argued that if UNFCCC impose the burden of $CO_2$ mitigation on importing countries rather than exporting countries, we can prevent '$CO_2$ emission leakages' effectively.

• Journal of Climate Change Research
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• v.7 no.4
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• pp.499-506
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• 2016

This study was conducted to estimate carbon stock and uptake for Larix kaempferi Lamb., the single species, which is the most widely distributed one following Pinus densiflora, using data from 6th national forest inventory and forest type map of 1:5,000. Overall distribution area of Larix kaempferi in South Korea was shown as 272,800ha, in detail, Gangwon-do was the most widely distributed region with 39.6% (108,141 ha) of the whole forest area, and Gyeongsangbuk-do was 18.6%(50,839 ha), Chungcheongbuk-do was 15.1%(41,205ha) in order. As the results of analysis in carbon stock and uptake for each province, the values were high with Gyeonggi-do 109.0 tC/ha, $10.3tCO_2/ha/yr$, Gangwon-do 349.1 tC/ha, $9.7tCO_2/ha/yr$ in order, and Jeollabuk-do was the lowest with 78.3 tC/ha, $7.6tCO_2/ha/yr$. Also, the results of estimation in total carbon stocks and uptakes by year (1989~2015) were turned out that total carbon stocks and uptakes were 24,891 thousand tC, $2,428thousand\;tCO_2$ in 2015, increasing about 4.8 times and 3.8 times each compared with 5,238 thousand C/ha, $640thousand\;CO_2$ in 1989. Although forest area was decreased 26.6% with 371,884 ha in 1989 to 272,800 ha in 2015, carbon stocks and uptakes were increased in 2015 in that forest stock was increased 126% compared to 1989.

• Journal of the Korean Society of Industry Convergence
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• v.10 no.3
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• pp.143-147
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• 2007

In recents years, the statistical properties has become an important quantity for reliability based design of a component. The effects of the materials and test conditions for parameter estimation in residual strength degradation model are studied in carbon/epoxy laminate. It is shown that the correlation between the experimental results and the theoretical prediction on the fatigue life distribution using the life distribution convergence method is very reasonable.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.665-669
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• 1997

In this study, the fatigue lives of two kinds of specimens made by co/sab 2/ gas were assessed. The materials for two kinds of specimens were taken out of the virgin carbon steel tubes and used carbon steel tubes, respectively. As a result, it was found that the fatigue lives of two groups of specimens were in the same order of magnitude.

• Journal of Korean Society for Atmospheric Environment
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• v.14 no.5
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• pp.499-506
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• 1998

Recently almost wastes except recycled garbage are dumped into landfill site in Korea. Landfills are significant compounds (NMOCS) are produced. NMOCS include reactive volative organic compound (VOC) and hazardous air pollutants. LAEEM (Landfill Air Emissions Estimation Model) developed by Control Technology Center, V.S. EPA is used to estimate a mount of landfill gas from all landfills. As the result, landfill gas 4,121,000 ton, carbon dioxide 2,951,000 ton, methane 1,1120,000 ton are estimated as emissions from all landfills in Korea.

• Journal of Korean Society of Forest Science
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• v.96 no.5
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• pp.591-601
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• 2007

Spatial information on forest biomass is an important factor to evaluate the capability of forest as a carbon sequestrator and is a core independent variable required to drive models which describe ecological processes such as carbon budget, hydrological budget, and energy flow. The objective of this study is to understand the relationship between satellite image and field data, and to quantitatively estimate and map the spatial distribution of forest biomass. Landsat Enhanced Thematic Mapper (ETM+) derived vegetation indices and field survey data were applied to estimate the biomass distribution of mountainous forest located in Gwangneung Experimental Forest (230 ha). Field survey data collected from the ground plots were used as the dependent variable, forest biomass, while satellite image reflectance data (Band 1~5 and Band 7), Normalized Difference Vegetation Index (NDVI), Soil-Adjusted Vegetation Index (SAVI), and RVI (Ratio Vegetation Index) were used as the independent variables. The mean and total biomass of Gwangneung catchment area were estimated to be about 229.5 ton/ha and $52.8{\times}10^3$ tons respectively. Regression analysis revealed significant relationships between the measured biomass and Landsat derived variables in both of deciduous forest ($R^2=0.76$, P < 0.05) and coniferous forest ($R^2=0.75$, P < 0.05). However, there still exist many uncertainties in the estimation of forest ecosystem parameters based on vegetation remote sensing. Developing remote sensing techniques with adequate filed survey data over a long period are expected to increase the estimation accuracy of spatial information of the forest ecosystem.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.50-51
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• 2019

Globally, South Korea is a country that has a lot of $CO_2$ emissions and has steadily increased its total greenhouse gas emissions since the 1990s. With the recent implementation of the carbon emission trading system in Korea, the importance of calculating $CO_2$ emissions of construction equipment is increasing, hence the need for accurate calculation of environmental penalties through allocating carbon emission rights. This study presents a methodology to predict the price of carbon credits using big data analysis method. This methodology is based on correlating and regression analysis of trends in carbon emission prices and search volumes. This study aims to support faster and more accurate budget calculations in the planning of the construction process based on the predicted price of carbon emission rights.

• Journal of Forest and Environmental Science
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• v.34 no.1
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• pp.12-23
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• 2018

Quantitative information on biomass and available nutrients are essential for developing sustainable forest management strategies to regulate atmospheric carbon. An attempt was made at Chilapatta Reserve Forest in Duars region of West Bengal to quantify its above and below ground carbon along with available "N", "P" and "K" in the soil. Stratified random nested quadrats were marked for soil, biomass and litter sampling. Indirect or non-destructive procedures were employed for biomass estimation. The amount of these available nutrients and organic carbon quantified in soil indicates that the forest soil is high in organic carbon and available "K" and medium in phosphorus and nitrogen. The biomass, soil carbon and total carbon (soil C＋C in plant biomass) in the forest was 1,995.98, 75.83 and $973.65Mg\;ha^{-1}$. More than 90% of the carbon accumulated in the forest was contributed by the trees. The annual litter production of the forest was $5.37Mg\;ha^{-1}$. Carbon accumulation is intricately linked with site quality factors. The estimated biomass of $1,995.98Mg{\cdot}ha^{-1}$ clearly indicates this. The site quality factor i.e. tropical moist deciduous with optimum availability of soil nutrients, heavy precipitation, high mean monthly relative humidity and optimum temperature range supported luxuriant growth which was realized as higher biomass accumulation and hence higher carbon accumulated.

• Journal of Climate Change Research
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• v.6 no.4
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• pp.257-265
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• 2015

For estimating a net removal of carbon dioxides from a forest carbon offset project, it is necessary to consider secondary emissions occurred from the use of machineries or vehicles. According to the forest carbon standard in Korea, a default rate (5%) could be applied for estimating secondary emissions of small projects, which provide annual net removals less than or equal to $600tCO_2$, while secondary emissions should be estimated for larger projects with field survey. In this study, we intended to develop a methodology for estimating the secondary emission of a forest carbon project. For this purpose, we analyzed the working process and the carbon emissions of the forest management activities for major tree species in Korea. Based on the developed methodology, we estimated the secondary carbon emission of a reforestation project. The result showed that the secondary carbon emission of a reforestation project was estimated between 0.42% and 1.19 % compared to net removals, that is to say that the current default rate in the forest carbon standard could give an overestimated secondary emission.

• Journal of Ecology and Environment
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• v.43 no.1
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• pp.61-72
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• 2019

Background: Organic carbon stored in coastal wetlands, which comprises the major part of oceanic "blue carbon," is a subject of growing interest and concern. In this study, organic carbon storage in coastal wetlands and its economic value were estimated using the raw data of 25 studies related to soil carbon storage. Data were collected from three tidal flats (one protected and two developed areas) and two estuarine salt marshes (one protected and one restored area). Bulk density, soil organic matter content, and standing biomass of vegetation were all considered, with Monte Carlo simulation applied to estimate the uncertainty. Results: Mean carbon storage in two salt marshes ranged between 14.6 and $25.5kg\;C\;m^{-2}$. Mean carbon storage in tidal flats ranged from 18.2 to $28.6kg\;C\;m^{-2}$, with variability possibly related to soil texture. The economic value of stored carbon was estimated by comparison with the price of carbon in the emission trading market. The value of US $ $6600\;ha^{-1}$ is ~ 45% of previously estimated ecosystem services from fishery production and water purification functions in coastal areas. Conclusions: Although our study sites do not cover all types of large marine ecosystem, this study highlights the substantial contribution of coastal wetlands as carbon sinks and the importance of conserving these habitats to maximize their ecosystem services.