• 한국산림과학회지
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• 제98권3호
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• pp.324-330
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• 2009

본 연구의 목적은 KOMPSAT-2 영상을 이용하여 대상지 내 주요 수종의 이산화탄소 흡수량을 추정하는 것이다. 우선, KOMPSAT-2 영상을 분할영상분류방법으로 산림내 수종을 임상단위로 분류하였다. 분류된 임상의 평균 수관직경을 추정한 후, 이를 각 수종의 면적에 대비시켜 수종별 본수를 추정하였다. 평균 흉고직경은 지상조사를 통해 유도된 수관직경과 흉고직경의 관계식을 이용하여 추정하였다. 이와 같이 추정된 수종별 흉고직경과 본수를 기존의 바이오매스 추정식에 대입하여 수종별 바이오매스를 추정하였다. 바이오매스에 '기후변화에 관한 정부간 패널(IPCC)'의 가이드라인에 따른 계수를 적용하여 임상단위의 이산화탄소 흡수량을 추정했다. 본 연구의 임상단위 수종별 이산화탄소 흡수량 추정 접근방식은 향후, 표본점 단위의 이산화탄소 흡수량을 임상단위 이산화탄소 흡수량으로 확장시키는데 활용될 수 있다.

• 한국기후변화학회지
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• 제6권3호
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• pp.175-184
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• 2015

In this study GC and PAS were used to calculate $N_2O$ concentration of exhaust gas from Wood Chip combustion system. Fuel supplied to the incinerator was collected and analyzed and then the analysis result was used to calculate $N_2O$ emissions. Tier 3 and Tier 4 Method were used to calculate the $N_2O$ emissions. Plant's Specific emission factor of $N_2O$ by Tier 3 Method was 0.35 kg/TJ, while default emission factor of Wood?Wood Waste proposed by 2006 IPCC G/L was 4 kg/TJ. So the $N_2O$ emission factor of this study was 3.65 kg/TJ lower compared to the IPCC G/L. The total emissions calculated by Plant's specific emission factor was 4.22 kg during the measuring period, but by Tier 4 Method it was 7.88 kg. This difference in emissions was caused by the difference of continuous measuring and intermittent sampling. It would be necessary to apply continuous measuring to calculate emissions of $Non-CO_2$ gas whose the density distribution is relatively high. However currently, according to the target management guideline of greenhouse gas and energy, the continuous measuring method to calculate greenhouse gas emission is applied only to $CO_2$. Therefore for reliable greenhouse gas emission calculation it would be necessary to apply continuous measuring to calculate $Non-CO_2$ gas emission.

• 한국기후변화학회지
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• 제9권1호
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• pp.81-90
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• 2018

"The Framework Act on Low-Carbon Green Growth" specifies the requirements for the development and verification of emission factors for establishing reliable national greenhouse gas statistics. The scope of the regulations covers the development and validation of energy, industrial processes, solvents and other product use, agriculture, land use, land use change and emission and absorption coefficients of the forestry and waste sector as defined in the 1996 IPCC Guideline and GPG 2000, The minerals sector to be covered in this study belongs to industrial processes. As a representative method for quantifying and evaluating GHG emission factors, there are emission grade quality grading and DARS (Data Rating Rating System) in the 'Procedures for Preparing Emission Factor Documents (1997)' reported by US-EPA. However, the above two methods are not specific and comprehensive, and lack the details for accurate emission factor verification. Therefore, there is a need for a method for verifying and quantifying certified greenhouse gas emission factors that reflects characteristics of each industry sector in Korea and accord with IPCC G/L and GHG target management. In this study, we conducted a weighted study on quantitative and evaluation lists of emission factor using questionnaires to develop a more accurate methodology for quantifying national greenhouse gas emission factors in the mineral sector. Quantification and evaluation of emission factor are classified into essential verification and quality evaluation. The essential verifications are : administrative compatibility, method of determining emission factors, emission characteristics, sampling methods and analysis methods, representativeness of data. The quality evaluations consisted of the quality control of the data, the accuracy of the measurement and analysis, the level of uncertainty, not directly affect the emission factor, but consisted of factors that determine data quality.

• 한국기후변화학회지
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• 제2권2호
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• pp.69-77
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• 2011

최근 화석 연료와 에너지 사용의 증가에 따라 기후변화가 심화되고 대기질이 악화되고 있으나, 국내에서는 지역별 배출 부문별 온실가스 배출량을 산정하고, 배출 특성에 관한 분석 연구가 활발히 수행되고 있지 않은 실정이다. 이에 본 연구에서는 국가 및 지자체의 온실가스 감축 정책 수립 및 추진을 지원하기 위하여 온실가스 인벤토리에 관한 국제지침(IPCC Guideline)에 따라 온실가스 및 대기오염물질 통합관리시스템(GHG-CAPSS)을 구축하고, 국내 기초자치단체 단위(시 군 구)의 부문별(산업, 수송, 상업 공공, 가정, 폐기물, 농업, 기타) 온실가스 배출량을 상향식 접근론(bottom-up approach)을 적용하여 산정하였다. 2006년도를 기준으로 국내 총 온실가스 배출량($CO_2$ eq.)은 588,011천톤/년으로 산정되었으며, 이중 산업 부문이 50.1%(294,467천톤/년)로 가장 높은 배출기여율을 나타냈고, 수송 부문 17.6%(103,255천톤/년), 상업 공공 부문 12.6%(74,309천톤/년), 가정 부문 12.6%(74,209천톤/년), 폐기물 부문 2.6%(15,358천톤/년), 농업 부문 2.5%(14,516천톤/년) 순으로 나타났다. 지역별 배출량 산정 결과, 경기도 지역의 배출량이 전체의 14.9%(87,342천톤/년)를 차지하였고, 전남 12.4%(73,067천톤/년), 경북 11%(64,814천톤/년) 순으로 나타났다.

• Asian-Australasian Journal of Animal Sciences
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• 제27권3호
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• pp.439-446
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• 2014

Many studies on methane ($CH_4$) and nitrous oxide ($N_2O$) emissions from livestock industries have revealed that livestock production directly contributes to greenhouse gas (GHG) emissions through enteric fermentation and manure management, which causes negative impacts on animal environment sustainability. In the present study, three essential values for GHG emission were measured; i.e., i) maximum $CH_4$ producing capacity at mesophilic temperature ($37^{\circ}C$) from anaerobically stored manure in livestock category ($B_{0,KM}$, Korean livestock manure for $B_0$), ii) $EF_{3(s)}$ value representing an emission factor for direct $N_2O$ emissions from manure management system S in the country, kg $N_2O-N$ kg $N^{-1}$, at mesophilic ($37^{\circ}C$) and thermophilic ($55^{\circ}C$) temperatures, and iii) $N_{ex(T)}$ emissions showing annual N excretion for livestock category T, kg N $animal^{-1}$ $yr^{-1}$, from different livestock manure. Static incubation with and without aeration was performed to obtain the $N_2O$ and $CH_4$ emissions from each sample, respectively. Chemical compositions of pre- and post- incubated manure were analyzed. Contents of total solids (% TS) and volatile solid (% VS), and the ratio of carbon to nitrogen (C/N) decrease significantly in all the samples by C-containing biogas generation, whereas moisture content (%) and pH increased after incubation. A big difference of total nitrogen content was not observed in pre- and post-incubation during $CH_4$ and $N_2O$ emissions. $CH_4$ emissions (g $CH_4$ kg VS-1) from all the three manures (sows, layers and Korean cattle) were different and high C/N ratio resulted in high $CH_4$ emission. Similarly, $N_2O$ emission was found to be affected by % VS, pH, and temperature. The $B_{0,KM}$ values for sows, layers, and Korean cattle obtained at $37^{\circ}C$ are 0.0579, 0.0006, and 0.0828 $m^3$ $CH_4$ kg $VS^{-1}$, respectively, which are much less than the default values in IPCC guideline (GL) except the value from Korean cattle. For sows and Korean cattle, $N_{ex(T)}$ values of 7.67 and 28.19 kg N $yr^{-1}$, respectively, are 2.5 fold less than those values in IPCC GL as well. However, $N_{ex(T)}$ value of layers 0.63 kg N $yr^{-1}$ is very similar to the default value of 0.6 kg N $yr^{-1}$ in IPCC GLs for National greenhouse gas inventories for countries such as South Korea/Asia. The $EF_{3(s)}$ value obtained at $37^{\circ}C$ and $55^{\circ}C$ were found to be far less than the default value.

• 농촌계획
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• 제19권4호
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• pp.125-135
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• 2013

Analysis and evaluation of uncertainty is adopting the advanced methodology among the methods for greenhouse gas emission assessment that was defined in GPS2000 (Good practice guideline 2000) and GPG-LULUCF (GPG Land Use, Land-Use Change and Forestry). In 2006 IPCC guideline, two approaches are suggested to explain the uncertainty for each section with a national net emission and a prediction value on uncertainty as follows; 1) Spread sheet calculation based on the error propagation algorithm that was simplified with some assumptions, and 2) Monte carlo simulation that can be utilized in general purposes. There are few researches on the agricultural field including greenhouse gas emission that is generated from livestock and cultivation lands due to lack of information for statistic data, emission coefficient, and complicated emission formula. The main objective of this study is to suggest an evaluation method for the uncertainty of greenhouse gas emission in agricultural field by means of intercomparison of the prediction value on uncertainties which were estimated by spread sheet calculation and monte carlo simulation. A statistic analysis for probability density function for uncertainty of emission rate was carried out by targeting livestock intestinal fermentation, excrements treatment, and direct/indirect emission from agricultural lands and rice cultivation. It was suggested to minimize uncertainty by means of extraction of emission coefficient according to each targeting section.

• 한국환경과학회지
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• 제23권11호
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• pp.1881-1888
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• 2014

Greenhouse gas (GHG) emissions from dye wastewater treatment processes were estimated by analysing their mass and energy balances, which were then used as baseline information for environmental assessment. The total GHG emissions from dye wastewater treatment plants were divided into direct emissions from the treatment processes and indirect ones from electricity usage. The amounts of $CO_2$, $CH_4$ and $N_2O$ emissions were calculated according to the Intergovernmental Panel on Clime Change (IPCC) guideline for the GHG target management system. For 3 years between 2011 and 2013, direct and indirect emissions were on average 8,742.7 and 7,892.0 Ton.$CO_2eq/year$, respectively, with the former exhibiting 52.6 %. Also, compared to 2012, in 2013, the eco-efficiency indicator by the GHG emissions was found to be more than 1, suggesting that environmental quality was effectively improved.

• 한국대기환경학회지
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• 제28권4호
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• pp.466-476
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• 2012

This study calculated monthly and sectoral (for industry, energy industry, transport, residential, commercial and public sectors) greenhouse gas (GHG) emissions of Seoul, Korea from 1999 until 2009 with following the IPCC 2006 Guideline for National Greenhouse Gas Inventories through an analysis on available monthly data of fossil fuel and electricity consumption for the period. The time series analysis showed that GHG emissions had significant cyclical pattern season by season with the highest peak in August and the lowest peak in January throughout the period. The analysis on monthly and sectoral energy consumption showed that residential, commercial and public sectors had emitted about 65% of total GHG emissions of Seoul and had consumed more energy in winter for heating. About 30% GHG of Seoul was emitted from transport sector but its monthly energy consumption showed irregular pattern and it consumed 80% petroleum (in 2009) of Seoul. Hopefully together with further study on this subject, it is expected that this study can be used as basic data for various research regarding Greenhouse gas baseline emission, energy consumption pattern and estimation for future GHG emission of Seoul.

• 경영과학
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• 제33권4호
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• pp.17-31
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• 2016

Waste sector has been a target of abatement policies by the most governments, even though its greenhouse gas (GHG) emission is not so high, since it is related to almost of other sectors. This study propose new GHG calculation equations which resolves logical contradiction of IPCC GL (Intergovernmental Panel on Climate Change Guideline) equations by including waste-to-energy effects. According to two GHG calculation equations, GHG emission inventory and BAU by the year 2050 have been computed. And GHG abatement potential and marginal cost for the five abatement policies carefully selected from the previous researches have been calculated for the year 2020. The policy that makes solid fuel like RDF from flammable wastes and uses them as combustion fuel of electricity generations has been found to be the most efficient and effective one among five policies. The cumulative abatement amount when five policies not mutually exclusive are applied sequentially has been reckoned.

• 한국기후변화학회지
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• 제7권4호
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• pp.485-492
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• 2016

For reporting national greenhouse gas inventory in forest sector, the forest growing stock from the National Forest Inventory (NFI) system has used as activity data sources. The National Forest Inventory system was changed from rotation system by province to annual system by 5 years across the country. The forest growing stocks based on the new inventory system produced a different trend compared to the previous estimations. This study was implemented to recalculate previous forest growing stocks for time series consistency at a national level. The recalculation of forest growing stock was conducted in an overlap approach by the IPCC guideline. In order to support the more consistency data, we used calibration factors between applied stand volumes in 1985 and 2012, respectively. As a result, the time series of recalculated forest growing stock was to be consistency using the overlap approach and the calibration factor with the lower middle/middle site index. According to the applied overlap period, however, we will recalculate activity data using more complete data from national forest inventory system.