PURPOSES : The study aims to establish a comprehensive life cycle assessment model for bridges in South Korea considering domestic carbon emission factors. The main aims are to evaluate the carbon emission of bridge construction, focusing on the Seong-ri Bridge as a case study, and to improve national environmental policies and management strategies. METHODS : We utilized the life cycle assessment (LCA) methodology, adhering to standards set by ISO, to categorize each phase of the bridge's life cycle. The process involved selecting the bridge type based on the compilation of a detailed analysis range. The analysis covered various stages from raw material supply (A1-A3) to construction (A4-A5) and maintenance (B2-B5), excluding certain stages due to data unavailability. Carbon emission factors were then applied to quantify emissions at each stage. RESULTS : The findings indicate that the raw material production phase (A1-A3) contributes to approximately 96% of the total carbon emissions, highlighting its significant impact. We report detailed calculations of emissions using domestically developed emission factors for materials such as steel and concrete and establish a carbon emission per unit length measure for comparative analysis with other infrastructure. CONCLUSIONS : We leveraged LCA ISO standards to analyze each stage of the Seong-ri bridge, calculating its carbon emissions based on domestic factors for CO2, CH4, and N2O. By tailoring the study to Korea-specific emission factors, we develop a greenhouse gas model closely aligned with the nation’s environmental conditions. The results contribute to improving environmental impact assessments and strategically aiding national policy and management decisions.

국가 온실가스 인벤토리를 Tier 2 이상의 수준으로 향상시키기 위해서는 IPCC 기본값 대신 국가 고유의 배출계수가 개발 및 이용되어야 한다. 국가 고유 배출계수는 에너지원 종류, 에너지 공정, 시간 추세에 따라 달라지기 때문에, 각 에너지원별 특성값을 파악하는 것은 정확한 인벤토리 구축에 중요한 부분을 차지한다. 국내 석유계 에너지원의 물성은 시간의 경과에 따라 큰 변화는 없었으며, 국내에서 고시되고 있는 에너지원별 열량환산기준 상의 석유계 에너지원에 대한 열량 및 탄소배출계수를 2013년과 2016년에 실제 시료를 수집하여 발열량, 탄소함량 및 탄소배출계수를 산정한 결과값과의 비교분석에서는 대체적으로 일정한 값을 유지하고 있는 것으로 나타났다. 또한, 석유계 에너지원별로 산출된 순발열량과 탄소배 출계수는 2006 IPCC Guideline에 나타낸 값들과 비교하였으며, 대부분의 에너지원이 2006 IPCC G/L의 기본값 및 상한, 하한 범위내의 값을 나타내었다.

대부분의 온실가스는 에너지의 생성 및 이용으로부터 발생되고, 교통부문에서 배출되는 온실가스 중 약 95 % 이상이 수송용 연료에서 기인한다. 또한, IPCC 가이드라인에서 제시하는 배출계수를 사용하였을 경우 국가 고유의 연료특성이 반영되지 않는 단점이 있고, 기후변화협약 교토의정서에 따른 의무 감축국도 UN에 제출하는 국가 온실가스 배출량 보고서 작성 시 대부분 Tier 2나 Tier 3 수준의 배출계수를 적용하고 있 다. 본 연구에서는 국내 교통부문에 사용되는 휘발유, 경유 등의 수송용 연료에 대한 연차별 시계열 특성을 파 악하고, CO2 배출계수의 연도별 변화추이를 분석하여 실제 연료를 활용한 CO2배출계수 실측방법의 적용 타 당성을 평가하였다.

This paper attempted to estimate the emissions of HFC-134a from scrap truck as a result of measuring the residual quantities of HFC-134a in air conditioner of scrap truck. We measured the residual amounts in the scrap truck of 138 by applying commercial recover for refrigerants. The average residual rate(disposal-phase emission factor) is reported to be 44.3±3.3% within a confidence interval of 95%. Recent year model trucks exhibit the higher residual rates. Little variation, however, is observed in regard to vehicle size. The HFC-134a emission quantity from scrap truck in 2011 is estimated to be 55,908 tCO2-eq that demonstrates 21.4% increase to compare with that in 2007. As the numbers of truck have increased dramatically during the last two decades, the emissions of HFC-134a from scrap truck would increase sharply in the next coming years. HFC-134a is a very high GWP greenhouse gas. therefore have to reduce the emissions from the scrap truck and need to find ways to recycle. The chemical compositions of refrigerants from scrap truck are quite similar to those of new refrigerants, suggesting that the refrigerants from scrap truck could be reused as refrigerant.

This paper attempted to estimate the emissions of HFC-134a from scrap passenger vehicles as a result of measuring the residual quantities of HFC-134a in scrap vehicles. We measured the residual amounts in the scrap passenger vehicles of 196 by applying commercial recover for refrigerants. The average residual rate is reported to be 61.2 ± 2.4% with a confidence interval of 95%. As expected, the higher residual rates are shown for recent models. Little variation, however, is made with vehicle size. The HFC-134a emission quantity from scrap passenger vehicles in 2011 is estimated to be 326,236.83 tCO2 eq that demonstrates 53% increase to compare with that in 2007. As the numbers of passenger vehicles have increased dramatically during the last two decades, the emissions of HFC-134a from scrap passenger vehicles would increase sharply in the next coming years. The chemical compositions of refrigerants from scrap passenger vehicles are quite similar to those of new refrigerants, suggesting that the refrigerants from scrap passenger vehicles could be reused.

This study was designed to evaluate qualitatively and quantitatively the pollutant compositions, which were emitted from three types of mosquito repellents(MRs)(mat-, liquid-vaporized, and coil-type) by utilizing a 50-L environmental chamber. A qualitative analysis revealed that 42 compounds were detected on the gas chromatography/ mass spectrometer system, and that the detection frequency depended upon chemical types. Nine of the 42 compounds exhibited a detection frequency of 100%. Four aromatic compounds(benzene, ethyl benzene, toluene, and xylene) were detected in all test MRs. The concentration equilibriums in the environmental chamber were achieved within 180 min after sample introduction. The coil-type MR represented higher chamber concentrations as compared with the mat- or liquid-vaporized-type MR, with respect to the target compounds except for naphthalene. In particular, the chamber concentrations of ethyl benzene, associated with the use of coil-type MR, were between 0.9 and 65 mg m-3, whereas those of mat- and liquid-vaporized-type MRs were between 0.5 and 2.0 mg m-3and 0.3 and 1.4 mg m-3, respectively. However, naphthalene concentrations in the chamber, where a liquid-vaporized-type MR was placed, were measured as between 17.8 and 56.3 mg m-3, but not detected in the chamber, where a mat- or coil-type MR was placed. The empirical model fitted well with the time-series concentrations in the environmental chamber(in most cases, determination coefficient, R2 ≳ 0.9), thereby suggesting that the model was suitable for testing emissions. In regards to the target compounds except for benzene, although they were emitted from the MRs, health risk from individual exposure to them were estimated not to be significant when comparing exposure levels with no observed adverse exposure levels or lowest observed adverse exposure levels of corresponding compounds. However, it was concluded that the use of MRs could be an important indoor source as regards benzene.

Nitrous oxide (N2O) is an important trace gas in the atmosphere not only because of its large global warming potential (GWP) but also because of the role in the ozone depletion in the stratosphere. It has been known that soil is the largest natural source of N2O in global emission. However, anthropogenic sources contributing from industrial section is likely to increase with rising the energy consumption, and transportation as well. In this study, a total of 32 gasoline-powered passenger vehicles (ranging from small to large engine's displacement and also ranging from aged catalyst to new catalyst) were tested on the chassis dynamometer system in order to elucidate the characteristics of N2O emission from automobiles under different driving modes. Ten different driving modes developed by NIER were adapted for the test. The results show that the N2O emission decreases logarithmically with increase of vehicle speed over the all test vehicles (N2O emission = -0.062 Ln (vehicle speed) + 0.289, r2=0.97). It revealed that the larger engine's displacement, the more N2O emission were recorded. The correlation between N2O emission and catalyst aging was examined. It found that the vehicles with aged catalyst (odometer record more than 8,0000km) emit more N2O than those with new catalyst. Average N2O emission was 0.086±0.095 N2O-g/km (number of samples=210) for the all test vehicles over the test driving modes.