• Journal of Korean Society of Forest Science
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• v.96 no.6
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• pp.644-651
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• 2007

This study compared and estimated the changes in carbon stocks and emissions of harvested wood products (HWP) by applying FAO statistics and domestic statistics for Korean HWP production, import, and export volume, which is almost always supposed to be included in the carbon emissions and removals inventory by country in negotiations since the 2nd commitment period (2013~2017) of the Kyoto Protocol, for assessing the changes in carbon stocks and emissions of HWP. As a result, when applying FAO statistics to the changes in carbon stocks of HWP as of 2005, stock-change approach (SCA) was estimated at 1.434 Tg C, atmospheric-flow approach (AFA) -1.330 Tg C, and production approach (PA) 0.597 Tg C. When applying Korean statistics, SCA was estimated at 1.246 Tg C, AFA -11.520 Tg C, and PA 0.444 Tg C. When applying FAO statistics to $CO_2$ emissions and removals from HWP, SCA showed a decrease of $-5,258Gg\;CO_2$ (removals), AFA showed an increase of $4,877Gg\;CO_2$ (emissions), and PA showed a decrease of $-2,189Gg\;CO_2$ (removals). When applying Korean statistics, SCA showed a decrease of $-4,569Gg\;CO_2$ (removals), AFA showed an increase of $5,573Gg\;CO_2$ (emissions), and PA showed a decrease of $-1,628Gg\;CO_2$, (removals). Therefore, the application of FAO statistics was shown to be more beneficial for the estimation of both the changes in carbon stocks and emissions of HWP by all methods other than that of Korean statistics.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.41-59
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• 2022

In accordance with the enactment of 'the Paris Agreement' in 2015 and 'the Framework Act on Carbon Neutrality and Green Growth for Response to the Climate Crisis' in 2021, each local government has set appropriate reduction target of greenhouse gas to achieve the nationally determined contribution (NDC, the reduction target of 40% compared to 2018) of greenhouse gas (GHG) emissions in 2030. In this study, the current distribution of GHG emissions was analyzed in a time series centered on the Chungbuk region for the period from 1990 to 2018, with the aim of reducing GHG emissions in Chungbuk by 2030 based on the 2030 NDC and scenario. In addition, the prospected reduction by 2030 was estimated considering the projected emissions according to Busines As Usual in order to achieve the target reduction of GHG emissions. Our results showed that GHG emissions in Chungbuk and Korea have been increasing since 1990 owing to population and economic growth. GHG emissions in 2018 in Chungbuk were very low (3.9 %) relative to the national value. Moreover, emissions from fuel combustion, such as cement and lime production, manufacturing and construction industries, and transportation industries, were the main sources. Furthermore, the 2030 target of GHG emission reduction in Chungbuk was set at 40.2% relative to the 2018 value, in accordance with the 2030 NDC and 2050 carbon-zero national scenario. Therefore, when projected emissions were considered, the prospected reduction to achieve the target reduction of GHG emissions was estimated to be 46.8% relative to 2018. The above results highlight the importance of meeting the prospected reduction of GHG emissions through reduction means in each sector to achieve the national and local GHG reduction target. In addition, to achieve the 2030 NDC and 2050 carbon zero, the country and each local government, including Chungbuk, need to estimate projected emissions by year, determine reduction targets and prospect reductions every year, and prepare specific means to reduce GHG emissions.

• Journal of Environmental Policy
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• v.9 no.4
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• pp.53-76
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• 2010

This paper attempts to estimate and compare environmental Kuznets curves (EKC) for$CO_2$ emissions of five regions constituting South Korea. For this, panel data of $CO_2$ emission for these regions are constucted for the period 1990 - 2007. Close inter-dependency among these five regions is considered by using a seemingly unrelated regression (SUR) model. In addition to real per-capita income, price index of energy sources and population dens ity are included as control variables. Results of estimates show the robust existence of EKC's in all these regions. EKC turning points of five regions range between 13.7 and 21.6 million Korean Won, showing a large variation. This difference among regions should be conisidered for the effective implementation of policies targeting the reduction of $CO_2$ emmission. In addition, the increase of energy price is found help reduce the $CO_2$ emmision while the rise of population density seems to lead to the increase of $CO_2$ emission.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.247-253
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• 2023

As climate change problem has recently become serious, studies are being conducted to identify carbon dioxide (CO₂) emission dynamics based on satellite data to reduce emissions. It is also very important to analyze spatial patterns by estimating and mapping CO₂ emissions dynamic. Therefore, in this study, CO₂ emissions in the Korean Peninsula from 2013 to 2020 were estimated and mapped. To spatially estimate and map emissions, we use the enhanced vegetation index adjusted nighttime light index, an index that combines nighttime light (NTL) and vegetation index, to map both areas where NTL is observed and areas where NTL is not observed. In order to spatially estimate and map CO₂ emissions, the total annual emissions of the Korean Peninsula were calculated, resulting in an increase of 11% from 2013 to 2017 and a decrease of 13% from 2017 to 2020. As a result of the mapping, it was confirmed that the spatial pattern of CO₂ emissions in the Korean Peninsula were concentrated in urban areas. After being divided into 17 regions, which included the downtown area, the metropolitan area accounted for roughly 40% of CO₂ emissions in the Korean Peninsula. The region that exhibited the most significant change from 2013 to 2020 was Sejong City, showing a 96% increase.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.203-205
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• 2019

최근 국제 운송에 큰 부분을 차지하는 해상운송에서의 오염물질 배출이 큰 논란이 되고 있다. 이 연구에서는 고속·대형의 컨테이너선, 크루즈, 여객선, 기타선 등이 기항하는 부산북항을 대상으로 선박의 배출물질을 계산하였다. 선박 대기오염물질 산정을 위해서는 선박의 활동 정보와 배출물질 계산에 활용할 선박 마력 정보가 필요하다. 먼저 AIS를 이용하여 선박 활동정보를 수집하고, 선박 마력은 선박 특성이 뚜렷한 컨테이너선과 탱커선의 제원을 DB화하여 추정하였다. 선박의 배출물질을 산정할 수 있는 추정 알고리즘을 개발하고 이를 이용하여 황산화물, 질소산화물, 입자상물질, 휘발성유기화합물의 배출물질을 계산한 결과 각각 48.3%, 42.5%, 5.4%, 3.8%의 비율로 산출되었다.

• Applied Chemistry for Engineering
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• v.25 no.2
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• pp.222-226
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• 2014

In this study, the purposes are investigating and analyzing car emission factors for estimating road emissions and the legal framework for the control of particulate matters. At the result, when input emission data are not realistic, the modeling output concentration distributions can lead to a serious distortion of the results. So, the spatial analysis of the dust emission vehicles have to be based on the actual traffic volumes. Because dust emission factors used in the car by National Institute of Environmental Research Method (2010) are mainly targeted for 2003-2007 cars these could not reflect the effect of DPF and the dust emission of gasoline passenger car. So, the real dust emission factors of diesel and gasoline cars need to be developed.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.1
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• pp.48-61
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• 2022

South Korea is quite vegetation rich country which has 63% forests and 16% cropland area. Massive NOx emissions from megacities, therefore, are easily combined with BVOCs emitted from the forest and cropland area, then produce high ozone concentration. BVOCs emissions have been estimated using well-known emission models, such as BEIS (Biogenic Emission Inventory System) or MEGAN (Model of Emission of Gases and Aerosol from Nature) which were developed using non-Korean emission factors. In this study, we ran MEGAN v2.1 model to estimate BVO Cs emissions in Korea. The MO DIS Land Cover and LAI (Leaf Area Index) products over Korea were used to run the MEGAN model for June 2012. Isoprene and Monoterpenes emissions from the model were inter-compared against the enclosure chamber measurements from Taehwa research forest in Korea, during June 11 and 12, 2012. For estimating emission from the enclosed chamber measurement data. The initial results show that isoprene emissions from the MEGAN model were up to 6.4 times higher than those from the enclosure chamber measurement. Monoterpenes from enclosure chamber measurement were up to 5.6 times higher than MEGAN emission. The differences between two datasets, however, were much smaller during the time of high emissions. More inter-comparison results and the possibilities of improving the MEGAN modeling performance using local measurement data over Korea will be presented and discussed.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.05a
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• pp.70-71
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• 2004

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.307-344
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• 1995

이 논문은 산업공해의 발생 요인을 규명하는 부분과 여기서 규명된 요인에 따라 배출량을 규제하고 그 규제효과를 추정하는 두 가지 부분으로 이루어져 있다. 이 논문에서는 환경(環境) 산업연관(産業聯關) 분석(分析) 모형(模型)을 이용하여 우리 나라의 산업(産業) 공해(公害) 배출(排出) 요인(要因)을 규명하고자 하였다. 이 분석의 결과 얻은 잠정적 결론은 첫째, 우리 나라는 지난 10년간 에너지 절약적(節約的)인 기술개발(技術開發)등 에너지의 효율성과 생산기술(生産技術)(투입구조(投入構造))의 개선 등 생산기술측면에서는 대기오염 배출량을 감소시키는 구조적 변화가 있었던 반면에, 수출입(輸出入) 구조(構造)등 수요 측면에서는 그 배출량을 증가시키는 구조적 변화가 발생하였다. 그러나 전체적으로 구조적 요인은 공해 배출량을 증가시키지 않은 반면 경제 성장에 따른 생산 규모의 확대로 총 배출량은 크게 증가하였다. 산업공해의 배출량을 감축시키기 위한 한 가지 정책수단(政策手段)으로 우리는 일정 율의 탄산까스 배출량(排出量)을 규제하기 위해 필요한 공해 제거 비용을 계산하고 배출 단위 제거비용을 Pigou적 공해조세(公害租稅)로 제시함으로서 일정 배출량 감축 효과를 가지는 공해세를 계산하고자 시도하였다. 이 같은 배출 규제(規制)에 의한 물가상승(物價上昇)의 파급정도(波及程度)는 각 산업의 공해제거(公害除去)를 위한 중간투입물(中間投入物) 수요(需要)와 규제대상(規制對象) 산업(産業)과의 산업연관(産業聯關) 정도(程度)에 따라 상이하다. 배출량(排出量)이 큰 6대(大) 공해산업(公害産業)에 대한 규제(規制)는 자기(自己) 가격상승율(價格上昇率)이외에 산업연관효과(産業聯關效果)의 차이 때문에 산업별로 다른 물가 파급효과를 발생시킨다는 것을 보였다. 특히 석유와 석탄 등의 에너지에 대한 탄산까스 배출 규제는 규제 산업의 자기 가격을 매우 높은 율로 상승시키며, 각각 화학, 고무, 섬유, 의복 제품과 1 차금속, 전력 가스, 조립금속, 시멘트 등에 높은 물가 파급효과를 나타내므로서 이산화탄소의 배출 규제 내지 탄소세의 부과가 몇 몇 산업의 가격 경쟁력에 집중적인 영향을 줄 것임을 시사하고 있다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1998.10a
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• pp.171-172
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• 1998