• 대한교통학회지
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• 제30권2호
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• pp.117-126
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• 2012

교통부문에서 발생되는 $CO_2$ 배출량이 전체 $CO_2$ 배출 총량의 33%를 차지하고 있는 상황에서 지구 온난화를 방지할 수 있도록 교통부문 온실가스 저감 대책을 마련하는 것은 매우 중요하다. 효과적인 교통부문 온실가스 저감대책을 수립하기 위하여 자동차의 오염물질 배출량을 객관적이고 정확하게 산출할 수 있는 방법론 개발이 선행되어야 하지만, 현재까지 표준화된 교통부문 오염물질 배출량 산출 방법론이 정립되어 있지 못한 실정이다. 세계적으로 가장 널리 사용되고 있는 평균 차속 모형은 빠르고 간편하게 대기오염 영향을 산출할 수 있다는 장점을 갖지만, 다양한 도로조건과 교통조건을 반영하지 못하는 한계가 있다. 본 논문에서는 현행 평균 차속 모형을 통하여 산출된 배출량이 주행 여건에 따라 현실에서 발생하는 배출량과 많은 차이가 있음을 실제 데이터 분석을 통하여 확인하였으며, 향후에는 평균 차속 모형의 배출계수가 도로 유형과 교통 상황에 따라 구분될 필요가 있음을 제기하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.107-108
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• 2020

The severity of the global climate crisis is increasing due to greenhouse gases caused by human activities. As a result, countries and industries are making efforts to reduce carbon dioxide emissions, the biggest cause of global warming. Many studies have been conducted to predict carbon emissions in the construction sector to reduce this, but they have not actually produced a highly usable formula in the field. Therefore, the two variables 'Curve Fitting' were performed based on the data of excavators and trucks measured at the field. As a result, we have obtained a carbon dioxide emission prediction model for construction equipment, and we would like to use it to help establish an eco-friendly process plan.

• 한국기후변화학회지
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• 제8권3호
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• pp.221-230
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• 2017

There are two main policies to meet the national goal of reducing Greenhouse Gases (GHGs) emissions in Korea towards Paris Agreement. From 2012 to 2014, Target Management System (TMS) was operated and the Emissions Trading Scheme (ETS) has been established since 2015. To compare the impact of TMS and ETS on reducing GHGs, we collected annual GHGs emission reports submitted by individual business entities, and normalized them using a z-variant normalized function. In order to evaluate the impact of those policies, we calculated the amount of GHGs emissions of 73 business entities from 15 business sectors. Those entities emitted $508million\;CO_2eq$, which is 74% of total national GHGs emissions in 2014. The main results of analysis indicate that accumulated GHGs emissions during the period 2012 to 2014 affected by TMS was higher than the national goal of GHGs emission reduction, and only the GHGs emissions in 2014 were in the range of allowed GHGs emissions, set by the Government. In 2015, when ETS initiated, total GHGs emission trading was $4.84million\;tCO_2eq$, which is only 0.9% of total allowance in 2015. However, more than 50% of business entities, who got the allowance of GHGs emission given by the Government, met the goal of GHGs emissions. Particularly, 27 of 73 business entities reduced GHGs more under the ETS rather than the TMS. Even though we analyzed only 4 years' data to demonstrate the impact of TMS and ETS, it is expected to commit the national goal of GHGs reduction target by TMS and ETS.

• 한국환경농학회지
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• 제42권4호
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• pp.435-443
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• 2023

Global concern over climate change, driven by greenhouse gas emissions, has prompted widespread interest in sustainable solutions. In the agricultural sector, biochar has emerged as a focal point for mitigating these emissions. This study investigated the impact of continuous biochar application on CO₂ and N₂O emissions during the spring cabbage cultivation period. Greenhouse gas emissions in the biochar treatment groups (soils treated with 1, 3, and 5 tons/ha of rice husk biochar) were compared to those in the control group without biochar. During the spring cabbage cultivation period in 2022, the total CO₂ emissions were in the range of 71.6-119.0 g/m² day, and in 2023, with continuous biochar application, they were in the range of 71.6-102.1 g/m² day. The total emissions of N₂O in 2022 and 2023 were in the range of 11.7-23.7 and 7.8-19.9 g/m² day, respectively. Overall, greenhouse gas emissions decreased after biochar treatment, confirming the positive influence of biochar on mitigating greenhouse gas release from the soil. Nevertheless, further research over an extended period exceeding five years is deemed essential to delve into the specific mechanisms behind these observed changes and to assess the long-term sustainability of biochar's impact on greenhouse gas dynamics in agricultural settings.

• Advances in environmental research
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• 제3권2호
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• pp.173-183
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• 2014

A comprehensive mathematical model was developed for this study to estimate on-site and off-site GHG emissions from wastewater treatment plants (WWTPs). The model was applied to three different hybrid WWTPs (S-WWTP, J-WWTP, and T-WWTP) including anaerobic, anoxic, and aerobic process, located in Seoul City, South Korea. Overall on-site and off-site GHG emissions from S-WWTP, J-WWTP, and T-WWTP were $305,253kgCO_2e/d$, $282,682kgCO_2e/d$, and $117,942kgCO_2e/d$, respectively. WWTP treating higher amounts of wastewater produced more on-site and off-site GHG emissions. On average, the percentage contribution of on-site and off-site emissions was 3.03% and 96.97%. The highest amount of on-site GHG emissions was generated from anoxic process and the primary on-site GHG was nitrous oxide ($N_2O$). Off-site GHG emissions related to electricity consumption for unit operation was much higher than that related to production of chemicals for on-site usage. Recovery and reuse of biogas significantly reduced the total GHG emissions from WWTPs. The results obtained from this study can provide basic knowledge to understand the source and amount of GHG emissions from WWTPs and strategies to establish lower GHG emitting WWTPs.

• 유기물자원화
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• 제30권4호
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• pp.131-139
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• 2022

본 연구는 니카라과 마나과 La Chureca 매립장의 온실가스 감축 사업을 하고자 매립장 반입현황조사, 폐기물 성상조사 및 온실가스 배출량 산정을 하였다. 반입량과 성상조사를 바탕으로 한 IPCC 모형을 통한 온실가스 배출량 산정 결과 2006년부터 2043년까지 연평균 290,147 ton-CO₂/year였으며, IPCC 모형의 불확도를 고려하여 보수적으로 산정한 배출량은 217,610 ton-CO₂/year로 나타났다. La Chureca 매립장에서 온실가스 포집 가능량을 모형 불확도를 고려하고 포집 효율을 보수적으로 산정했음에도 CDM에 등록된 다른 중미 사례의 중간값과 평균값을 상회했으며 오차 요인에 대한 민감도 분석에도 결과가 크게 다르지 않았다. 본 연구는 La Chureca 매립장 온실가스 감축 사업의 타당성을 평가하고 이행 방안을 도출하기 위한 온실가스 배출량에 대한 기초자료로 활용이 가능할 것으로 판단된다.

• 한국자동차공학회논문집
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• 제17권4호
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• pp.10-15
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• 2009

Emission regulations on greenhouse gas(GHG) in automobiles have been stringent because of global warming effect. Over 90% of total GHG emission are carbon dioxides and about 20% of this $CO_2$ emission are emitted from automobiles. In this study, 110 vehicles were tested on a chassis dynamometer and $CO_2$ emissions and fuel economy were measured in order to investigate the characteristics of $CO_2$ emission factor from passenger vehicles which are the most dominant vehicle type in Korea. The characteristics of emissions in accordance with displacements, gross vehicle weight, NIER and CVS-75 speed mode were discussed. It was found that vehicles having larger displacement, heavier gross vehicle weight, automatic transmission and specially at cold start emitted more $CO_2$ emissions. From these results, correlation between $CO_2$ emission and fuel economy was also obtained. This study may contribute to evaluate domestic greenhouse gas emissions and establish national policies on climate changes in future.

• 한국토양비료학회지
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• 제44권6호
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• pp.1207-1213
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• 2011

우리나라 농경지에서의 $N_2O$ 배출량을 1996과 2006 IPCC 방법론에 준하여 직접배출과 간접배출로 구분하여 산정하였다. 배출량 산정을 위한 활동자료는 농림수산식품부의 농림수산식품통계연보를 활용하였고, 배출계수는 1996 IPCC와 2006 IPCC에서 제시하고 있는 기본계수를 활용하였다. 직접배출량을 질소 투입원별로 산정한 결과 논과 밭에서 화학비료 시용에 의한 $N_2O$ 배출량은 각각 159,579 $CO_2$-eq Mg과 976,460 $CO_2$-eq Mg이었고, 축산분뇨 시용에 따른 $N_2O$ 배출량은 1,465,363 $CO_2$-eq Mg이었다. 두과작물의 질소 고정에 따른 $N_2O$ 배출량은 52,395 $CO_2$-eq Mg이었고, 작물잔사 환원에 의한 $N_2O$ 배출량은 14,562 $CO_2$-eq Mg 이었다. 간접배출에 의한 $N_2O$ 배출량을 대기 유출과 수계 유출로 구분하여 산정된 양은 각각 1,415,881 $CO_2$-eq Mg과 1,864,043 Mg이었다. 우리나라 농경지의 $N_2O$ 총배출량은 5,948,284 $CO_2$-eq Mg으로 직접배출량은 44.9%, 간접배출량은 55.1%를 차지하였으며, 경종부문 온실가스 전체 배출량의 48.7%를 점유하였다.

• 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.

• 웰빙융합연구
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• 제2권2호
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• pp.19-37
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• 2019

Over the last few decades, the atmospheric carbon dioxide emission has been amplified to a great extent in Turkey. This amplification may cause global warming, climate change and environmental degradation in Turkey. Consequently, ecological condition and human life may suffer in the near future from these indicated threats. Therefore, an attempt was made to test the relationship among a number of expected factors and carbon dioxide emissions in the case of Turkey. The study covers the time series data over the period of 1970-2017. We employed the modern econometric techniques such as Johansen co-integration, ARDL bound testing approach and the block exogeneity. The results of the Johansen co-integration test show that there is a significant long-run relationship between carbon dioxide emissions and expected factors. The long-run elasticities of the ARDL model show that a 1% increase in the GDP per capita, electric consumption, fiscal development and trade openness will increase carbon dioxide emissions by 0.14, 0.52, 0.09 and 0.20% respectively. Further, our findings reveal that the environmental Kuznets curve (EKC) hypothesis and inverted U-shaped relationship between carbon dioxide emission and economic growth prevails. Therefore, the EKC hypothesis is valid and prevailing in the Turkish economy. The diagnostic test results show that the parameters of the ARDL model are credible, sTable and reliable in the current form. Finally, Block exogeneity analysis displays that all the expected factors are contributing significantly to carbon dioxide emissions in the Turkish economy.