PURPOSES : We propose a framework to evaluate the reliability of integrating homogeneous or heterogeneous mobility data to produce the various data required for greenhouse gas emission estimation. METHODS : The mobility data used in the framework were collected at a fixed time from a specific point and were based on raster data. In general, the traffic volume for all traffic measurement points over 24 h can be considered raster data. In the future, the proposed framework can be applied to specific road points or road sections, depending on the presence or absence of raster data. RESULTS : The activity data required to calculate greenhouse gas emissions were derived from the mobility data analysis. With recent developments in information, communication, and artificial intelligence technologies, mobility data collected from different sources with the same collection purpose can be integrated to increase the reliability and accuracy of previously unknown or inaccurate information. CONCLUSIONS : This study will help assess the reliability of mobility data fusion as it is collected on the road, and will ultimately lead to more accurate estimates of greenhouse gas emissions.

This study examined the power consumption of angling boats during entry, departure, and fishing operations using a black box-type storage device. Through this analysis, it determined the energy consumption and carbon emissions of small fishing boats used for catching the largehead hairtail. The energy consumption and carbon emissions were calculated using formulas provided by the Korea Energy Agency, which incorporated updated emission coefficients from 2022. The findings revealed that the average power consumption of small fishing boats for the largehead hairtail was 546.3 kWh, with a total energy consumption of 0.1164 TOE and carbon emissions of 24.057 CO2. The average energy consumption was calculated at 0.0006 TOE per kilogram, and the carbon emissions were determined to be 0.135 CO2/kg.

PURPOSES : This study is aimed to economic analysis of the ferronickel slag pavement method carried out to suggest the necessity of developing ferronickel slag pavement technology. METHODS : A life cycle cost analysis of the application of the Ferronickel Slag pavement method and the cutting + overlay pavement method was performed to compare the economic indicators and greenhouse gas emissions for each pavement method. RESULTS : As a result of the analysis, regardless of the Ferronickel Slag mixing rate, if the common performance of the Ferronickel Slag pavement method is the same or superior to the existing pavement method, it is more economical than the existing pavement method. Furthermore, the lower the maintenance cost of the Ferronickel Slag pavement method, the higher the economic feasibility due to the high Ferronickel Slag mixing rate. Greenhouse gas emissions can be reduced from at least 9% to up to 53% through the application of the Ferronickel Slag pavement method, except for some scenario analysis results. CONCLUSIONS : This study provided that the Ferronickel Slag pavement method was superior to the existing pavement method in terms of economic and environmental aspects. Therefore, it was found that the objective justification of developing road pavement technology using Ferronickel Slag was secured.

The interest in greenhouse gases (GHG) emitted from all industries is emerging as a very important issue worldwide. This is affecting not only the global warming, but also the environmentally friendly competitiveness of the industry. The fisheries sector is increasingly interested in greenhouse gas emissions also due to the Paris Climate Agreement in 2015. Korean industry and government are also making a number of effort to reduce greenhouse gas emissions so far, but the effort to reduce GHG in the fishery sector is insufficient compared to other fields. Especially, the investigation on the GHG emissions from Korean fisheries did not carry out extensively. The studies on GHG emissions from Korean fishery are most likely dealt with the GHG emissions by fishery classification so far. However, the forthcoming research related to GHG emissions from fisheries is needed to evaluate the GHG emission level by species to prepare the adoption of Environmental labels and declarations (ISO 14020). The purpose of this research is to investigate which degree of GHG emitted to produce the species (swimming crab and snow crab) from various fisheries. Here, we calculated the GHG emission to produce the species from the fisheries using the life cycle assessment (LCA) method. The system boundary and input parameters for each process level are defined for LCA analysis. The fuel use coefficients of the fisheries for the species are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for producing the unit weight species and annual production are calculated by fishery classification. The results will be helpful to establish the carbon footprint of seafood in Korea.

본 연구는 다년생 목본작물인 과수 바이오매스 부문의 온실가스 배출･흡수량을 우리나라 국가 온실가스 인벤토리 보고 시 고려되어야 할 적정 산정 방법을 모색하고자 수행되었다. IPCC 가이드라인에 따라 적정 산정 수준을 모색한 결과, 향후 우리나라에 알맞은 적정 산정 수준 (Tier)은 국가 고유의 활동자료와 국가 고유 배출흡수계수를 활용하는 수준 2 (Tier 2)로 나타났다. 국가 고유 배출흡수계수가 없어 수준 1 (Tier 1)을 적용해야 하는 현 시점에서는 매년 활동자료인 과수 재배면적 통계를 발표하기 때문에 손실획득법보다 축적차이법으로 산정하는 것이 적정하다. 수준 2에서 시범 산정한 결과, 이 부문의 상대적으로 낮은 중요도와 산정의 단순성 및 비용을 고려할 경우, 활동자료에 있어 단순화한 하위 범주를 사용하고 성숙목과 미성숙목을 구분하지 않는 것이 적정하다. 반면 온실가스 감축정책에 따른 반응성을 고려한다면, 성숙목과 미성숙목을 구분하는 접근 방법이 적정하다. 산정된 탄소축적량의 불확도는 활동자료보다는 국가 고유 배출계수의 불확도에 의해 크게 좌우되어 향후 신뢰도 높은 국가 고유 배출계수의 개발이 필요한 것으로 나타났다.

인간의 활동으로 인해 발생한 온실가스가 산업혁명 이후 자연흡수량보다 많 아지면서 대기 중 온실가스 농도는 지속적으로 높아지고 있다. 이로 인해 지구 온난화현상이 가속되어 인류를 위협하는 수준에 도달하였다. 이에 UN에서는 기후변화협약, 교토의정서, 파리협정을 채택하였고, IMO에서는 기술적 조치, 운 항적 조치를 이미 시행하였고, 시장기반조치를 비롯한 여러 조치들을 시행하고 자 노력하고 있다. 한편, 국제적인 온실가스 감축을 위한 조치에 따라 우리 정부는 온실가스 감 축목표를 설정하고 온실가스 감축을 위해 노력하고 있다. 그러나 해운산업분야 와 관련된 국내법령은 이를 따라가지 못하고 있는 것이 현실정이다. 따라서 본 연구는 선박온실가스 배출규제의 국내이행의 문제점을 식별하고 개선방안을 제시하는 것을 목적으로 한다.

This study was conducted to identify and assess key parameters affecting greenhouse gas emissions and odor intensity at a naturally ventilated dairy farm. Measurement data of greenhouse gases (CO2, CH4, N2O), odorants (NH3 and H2S), and meteorological data (wind speed, temperature, relative humidity, and solar radiation) were posited as the parameters influencing those emissions. Carbon dioxide and methane emissions correlated well to CO2-equivalent emissions and the contribution of carbon dioxide emissions (R2=0.9181) was greater than that of methane emissions (R2=0.8854). Hydrogen sulfide emissions were highly correlated with odor intensity (R2=0.9989), but the contribution of ammonia emissions to odor intensity was not significant (R2=0.0081). No correlation among CO2-equivalent and odor intensity emissions and meteorological parameters was observed. In this study, the relationship between emissions of greenhouse gases and odor intensity in a naturally ventilated dairy barn mainly depended upon carbon dioxide and hydrogen sulfide emissions. The results in this study will be helpful in the mitigation planning of greenhouse gases and odor in animal feeding operations (CFOs).

2015년 ‘파리협정’ 및 2021년 ‘기후위기 대응을 위한 탄소중립·녹색성장 기본법’ 제정에 따라 2030년 국가 온 실가스 감축목표(NDC, 2018년 대비 40% 감축) 달성을 위해서는 지자체별 적절한 온실가스 감축 목표 설정과 이행 노 력이 필수적이다. 이에 이 연구에서는 충청북도 지역을 중심으로 1990-2018년 까지 온실가스 배출 현황을 시계열로 분석하였고, 2030년 국가 온실가스 감축목표와 시나리오를 바탕으로 충청북도의 2030년 온실가스 감축 목표를 제안하였 다. 또한 감축 목표 달성을 위해 BAU 대비 장래 배출량을 고려한 2030년까지의 감축 잠재량을 추정하였다. 그 결과, 첫째, 우리나라와 충북의 온실가스 배출량은 1990년 이래 인구 및 경제 성장에 따라 증가해온 것으로 나타났으며, 2018년 국가 대비 충북의 온실가스 배출량은 3.9%로 매우 낮은 편이였고, 시멘트 및 석회 생산, 제조업 및 건설업, 수 송업 등 연료연소에 의한 배출이 주를 이루는 것으로 나타났다. 둘째, 2030년 NDC 및 2050 탄소중립 시나리오를 반 영한 2030년 충청북도 온실가스 감축 목표는 2018년 대비 40.2%로 설정하였다. 이에 장래 배출량을 고려할 경우 목표 달성을 위한 감축 잠재량은 2018년 대비 46.8%인 것으로 추정되었다. 상기 결과는 국가 및 지자체의 온실가스 감축 목표 달성을 위해서는 분야별 온실가스 감축 수단을 통한 감축 잠재량을 충족하는 것이 중요하다는 것을 의미한다. 또 한 2030년 NDC 및 2050 탄소중립 시나리오 달성을 위해 충북을 포함한 국가 및 각 지자체는 온실가스 장래 배출량 을 연도별로 추정하여 매년 감축 목표와 감축 잠재량을 구하고 이를 삭감할 수 있는 구체적인 감축 수단을 마련할 필 요가 있음을 말해준다.

The concern on the greenhouse gas emission is strongly increasing globally. In fishery industry section, the greenhouse gas emissions are an important issue according to The Paris Climate Change Accord in 2015. The Korean government has a plan to reduce the GHG emissions as 4.8% compared to the BAU in fisheries until 2020. Furthermore, the Korean government has also declared to achieve the carbon neutrality in 2050 at the Climate Adaptation Summit 2021. However, the investigation on the GHG emissions from Korean fisheries did not carry out extensively. Most studies on GHG emissions from Korean fishery have dealt with the GHG emissions by fishery classification so far. However, follow-up studies related to GHG emissions from fisheries need to evaluate the GHG emission level by species to prepare the adoption of environmental labels and declarations (ISO 14020). The purpose of this research is to investigate which degree of GHG emitted to produce the species (hairtail and small yellow croaker) from various fisheries. Here, we calculated the GHG emission to produce the species from the fisheries using the Life Cycle Assessment method. The system boundary and input parameters for each process level are defined for the LCA analysis. The fuel use coefficients of the fisheries for the species are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for producing the unit weight species and annual production are calculated by fishery classification. The results will be helpful to understand the circumstances of GHG emissions from Korean fisheries.

The concern on the greenhouse gas emissions is increasing globally. Especially, the greenhouse gas emission from fisheries is an important issue from the Paris Climate Change Accord in 2015. Furthermore, the Korean government has a plan to reduce the GHG emissions as 4.8% compared to the BAU in fisheries until 2020. However, the investigation on the GHG emissions from Korean fisheries rarely carried out consistently. Therefore, the quantitative analysis of GHG emissions from Korean fishery industry is necessary as a first step to find a relevant way to reduce GHG emissions from fisheries. The purpose of this research is to investigate which degree of GHG emitted from the major offshore fisheries such as offshore gillnet fishery, offshore longline fishery, offshore jigging fishery and anchovy drag net fishery. Here, we calculated the GHG emissions from the fisheries using the Life Cycle Assessment method. The system boundary and input parameters for each process level are defined for the LCA analysis. The fuel use coefficients of the fisheries are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for the unit weight of fishes are calculated with consideration to the different consuming areas as well. The results will be helpful to understand the circumstances of GHG emissions from Korean fisheries

Fossil fuel combustion during fishing activities is a major contributor to climate changes in the fishing industry. The Tier1 methodology calculation and on-site continuous measurements of the greenhouse gas were carried out through the use of fuel by the coastal and offshore gillnet (blue crabs and yellow croaker) and trap (small octopus and red snow crab) fishing boats in Korea. The emission comparison results showed that the field measurements are similar to or slightly higher than the Tier1 estimates for coastal gillnet and trap. In offshore gillnet and trap fisheries, Tier1 estimate of greenhouse gases was about 1,644-13,875 kg CO2/L, which was more than the field measurement value. The CO2 emissions factor based on the fuel usage was 2.49-3.2 kg CO2/L for coastal fisheries and 1.46-2.24 kg CO2/L for offshore fisheries. Furthermore, GHG emissions per unit catch and the ratio of field measurement and Tier1 emission estimate were investigated. Since the total catch of coastal fish was relatively small, the emission per unit catch in coastal fisheries was four to eight times larger. The results of this study could be used to determine the baseline data for responding to changes in fisheries environment and reducing greenhouse gas emission.