• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.462-462
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• 2011

1994년에 발효된 기후변화협약에서 우리나라는 선발 개도국으로 분류되어 온실가스 의무감축 대상국에서 제외되었으나 제2차 공약기간 (2013~2017년)부터는 온실가스 감축 의무이행이 불가피할 것으로 예상되어 그 대응책 마련이 시급한 실정이다. 현재 국내에서는 국제기준에 부합하는 온실가스 배출량 통계자료 구축을 위한 기초연구가 다양하게 수행되고 있으나 온실가스 감축을 위한 시나리오 설정이나 모의실험 연구는 계획 중이거나 시작 단계에 있다. 이 중 농경지에서의 온실가스 배출은 환경조건에 따라 온실가스를 배출하거나 흡수할 수 있는 양면성을 갖기 때문에 미래의 온실가스 배출을 예측하고 국내 실정에 맞는 저감방안을 수립하기 위해서는 다양한 조건을 적용하여 온실가스 배출량을 모의할 필요가 있다. 따라서 본 연구에서는 작물생육과 토양환경의 상호작용을 고려하여 농업생태계 내에서의 온실가스 배출을 모의하는 DNDC (Denitrification-Decomposition)를 이용하여 다양한 물관리 방식을 적용하여 벼 재배시 논에서의 온실가스 배출량을 산정하고 그 결과를 비교하고자 하였다. 물관리 방식에 따른 온실가스 배출 모의를 위해 관개시기를 조정하여 상시담수와 간단관개시의 시나리오를 적용하고, 담수심의 깊이에 따라 심수관개시와 최소 담수심 시나리오를 적용하여 온실가스 배출량을 산정하였다. 이는 향후 농경지를 대상으로 관개 방식 개선을 통해 온실가스 배출량을 감축하고 지속가능한 토지이용방안을 모색하는데 기초자료로 활용할 수 있을 것이라 판단된다.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.560-569
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• 2019

Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. This study aims to calculate road sector greenhouse gas emissions more precisely than conventional methods. Method: Currently, the average speed of a vehicle is used to calculate greenhouse gas emissions. In this study, GHG emissions are calculated using the speed of individual vehicles and compared with current methods. Result: It was confirmed that the existing emission estimation method underestimated about 15% in the case of carbon dioxide, about 1% in the case of nitrous oxide, and about 1% in the case of methane. Conclusion: Current methods of estimating greenhouse gas emissions were developed before 2000 and were developed to meet the limits of available data. However, with the advancement of technology, the quality of available data is now high, and new emissions estimation methods are needed. Therefore, in this study, we propose a method for estimating the velocity-based greenhouse gas emissions of individual vehicles as a more accurate method for calculating greenhouse gas emissions.

• Journal of Environmental Policy
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• v.12 no.4
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• pp.45-69
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• 2013

This study estimates baseline greenhouse gas emissions from transport sector when a new town is developed. It has adopted a general greenhouse gas estimation model developed by Schipper, celine, Roger(2000) for the estimation, and showed how various transport related statistics can be utilized in detail. Particularly, it has produced unit greenhouse gas emission factor per vehicle types, vehicle-km, and trip-km. To evaluate effects of greenhouse gas reduction policies, it has calculated how much emissions will be reduced from bicycle promotion. It has turned out that about 369 thousand tons of carbon dioxide will be emitted from transport sector once the 1st Geomdan New Town is developed in Incheon metropolitan city. If the policy of bicycle promotion can attract people to use bicycle as much as 5% of total trips, then it can reduce about 1,869 tons of carbon dioxide.

• Journal of the Korea Organic Resources Recycling Association
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• v.32 no.1
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• pp.13-19
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• 2024

The objective of this study was to assess the feasibility of a landfill project aimed at reducing greenhouse gas (GHG) from Puerto Cortes Landfill in Honduras ("Project"). The feasibility study involved surveying the status, composition and amount of waste entering the landfill, and projecting GHG emissions from the landfill. A projection of the GHG emissions with the IPCC model and based on the survey results indicated that the period 2027 to 2041 would see a total GHG emission reduction of 506,835 ton-CO₂/year, with a mean yearly GHG emission reduction of 33,789 ton-CO₂, assuming landfill gas collection is implemented, The findings of the study are expected to serve as basic data for deciding about whether and how to proceed with the Project.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.849-856
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• 2020

Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. It aims to improve how effective the GHG reduction policy, which is the main cause of global warming in the transportation sector, has been effective on the highway and how to calculate GHG emissions. Method: Using the DSRC raw data, we estimate the emissions of Namhae Expressway (Yeongam-Suncheon) from 2017 to 2019 in two ways, a macro method (conventional) and a micro method (individual vehicle). Result: As a result of calculating the emission of the highway, the result was far exceeding the estimated emission, and it was found that when the calculation was performed for each vehicle, it was underestimated by more than 20%. Conclusion: If more emissions are continuously emitted than expected in the current transportation sector, additional emission reduction policies are needed to achieve the current greenhouse gas reduction targets. In addition, in the calculation of emissions, which is the basis of this policy, analysis was conducted for each individual vehicle using the current DSRC raw data, but using GPS afterwards will enable precise emission calculation through a more microscopic analysis.

• Bulletin of Korea Environmental Preservation Association
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• s.398
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• pp.16-19
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• 2012

기업 가치사슬에서 발행하는 온실가스 평가란 원료 구매, 제품의 생산, 판매 단계 등 기업 활동 전반에 걸쳐 기업 활동이 기후변화에 미치는 영향을 온실가스 배출량으로 산정하는 것을 말한다. 온실가스 배출원을 기업의 활동 경계를 기준으로 하여 Scope1, Scope2, Scope3으로 나누어진다. 이중 Scope3는 기업이 직접 배출하지 않더라도 기업 가치사슬에서 간접적으로 배출되는 온실가스에 연관된 영역이다. Scope3의 영역은 기업이 직접 관리할 수 없어 본질적으로 감축이 어렵다. 하지만 앞으로 국가 수준보다는 기업 수준에서 배출량을 제한하는 규제가 더욱 강화될 전망이며, 이에 따라 기업이 Scope3도 산정에 포함해야 하는 시점이 다가오고 있다.

• Journal of the Korea Organic Resources Recycling Association
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• v.30 no.4
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• pp.131-139
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• 2022

The aim of this study was to assess the feasibility of a landfill project to reduce greenhouse gas (GHG) from La Chureca Landfill in Managua, Nicaragua ("Project"). The feasibility study involved surveying the status and composition of waste on its way in to the landfill and projecting GHG emissions from the landfill. A projection of the GHG emissions with the IPCC model based on the survey results indicated the period 2006 to 2043 would see mean yearly GHG emissions of 290,147 ton-CO₂/year with model certainty not considered, and 217,610 ton-CO₂/year with model certainty considered. Thus, the result exceeded the corresponding median and mean values of other CDM projects implemented in Central America, even after model uncertainty was considered together with the conservative estimation of carbon capture efficiency. The similar result was produced even with an analysis of sensitivity to error factors. All the findings of the study are expected to be applicable as basic data for deciding about whether & how to proceed with the Project.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.4
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• pp.270-279
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• 2012

In this study, greenhouse gas emissions occurring from the construction of Jangbogo Antarctic research station were estimated in terms of material production stages and building stages, respectively. In detail, greenhouse gas emissions during the building stages were estimated in terms of marine transportation, inland transportation, construction equipment utilization, and construction camp operation, respectively. As a result, greenhouse gas emissions from material production stages with life cycle assessment were 8,933 ton (as $CO_{2eq}$), equivalent to the 23.8% of total greenhouse gas emissions from the construction of Jangbogo Antarctic research station, and these results indicate that greenhouse gas emissions occurring from material production stages should not be ignored. During the building stages, greenhouse gas emissions occurring from first year were greater than those from second year due to the increase in fuel consumption of freighter during second year. Additionally, marine transportation compared to inland transportation, construction equipment utilization, and construction camp operation was found to be the greater contributor for greenhouse gas emissions during the building stages. The total greenhouse gas emissions estimated from both material production stages and building stages was 34,486 ton (as $CO_{2eq}$), and greater than those estimated from comprehensive environmental evaluation (CEE) of existing other research stations. This difference is mainly attributed from approximate estimation of greenhouse gas emissions of existing other research stations without considering material production stages.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.11a
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• pp.114-115
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• 2002

국내의 경우 자동차 온실가스 배출량은 전체 온실가스의 약 15%를 차지하고 있으며, 국가경제 및 지구대기환경과의 연관성이 크므로 저감대책이 시급히 요구되고 있다. 그러나 현재까지 자동차부문의 온실가스 배출통계는 자료의 미비로 인하여 연료별 배출계수와 연료사용량을 기초로 한 Tier 1 방법에 의하여 작성되었으나, 자동차의 경우 자동차의 종류, 사용연료, 제작년도 및 주행조건뿐만 아니라 운행상태, 적용기술 등에 따라 온실가스 배출량이 크게 좌우된다. (중략)

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1251-1259
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• 2014

This study presents the linkage method combining the existing Port Management Information System (PORT-MIS) DB with the scattered vessel activity data sets including the hotelling and maneuvering characteristics and specification information of the vessels arriving and departing from the port of Busan from January 2009 to June 2010. By linking the data sets, this study made three types of vessel activity databases: L-PORT-MIS DB with low-level vessel activities, M-PORT-MIS DB with medium-level vessel activities such as hotelling time, H-PORT-MIS DB with high-level vessel activities such as hotelling time, engine power, etc. The greenhouse gas (GHG) emissions estimation results show that total GHG emissions decreases when the detailed vessel activities are employed. This decrease in the total GHG emissions by the level of vessel activities implies that the GHG emissions from the low and medium level vessel activities are overestimated due to the aggregated hotelling/maneuvering times and speeds resulting from the past vessel specifications. Therefore, the GHG emissions using the H-PORT-MIS DB are more reliable GHG emission estimates in that the vessel specifications and the observed hotelling time of each vessel are employed in the estimation process. Hence, the high-level vessel activity dataset should be constructed to implement more suitable countermeasures for reducing the GHG emissions in the port of Busan.