• Spatial Information Research
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• v.20 no.2
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• pp.25-34
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• 2012

Air quality in Daegu area is lower compared to many other cities, since Daegu is a basin surrounded by mountains. Accordingly, the present study investigated the location of carbon monoxide(CO) monitoring stations for systematic CO pollution management on the basis of the CO emission distribution in Daegu area. In order to achieve this purpose, the location of CO monitoring stations, which can be used for the establishment of CO management, were assessed. Emission map in Daegu area was prepared using numerical map and Clean Air Policy Support System(CAPSS) data supplied by the M inistry of Environment. Average emissions were estimated by dividing emission sources into four subgroups(roadway, apartment, industry, and municipal incineration facility) according to legal division. The CO emission intensities were subdivided into 10, which a high number represents a high emission intensity, and the current monitoring stations were evaluated for the determination of their steps in CO emission intensities. As a result, additional installation of monitoring stations were suggested for the high CO emission areas rather than the low CO emission areas. A systematic CO management strategy would be established by the supplying various principle CO data when the CO monitoring stations are additionally installed at Kukwudong and other six sites on the basis of analyses of data obtained from 1999 to 2007.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.603-611
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• 2011

After Kyoto Protocol was adopted for green gas reduction, each nations are stepping up efforts to reduce $CO_2$ of a typical green gas. Construction industry also is trying $CO_2$ reduction with the techniques of two types which are software and hardware techniques. The software technique are Passive Design considered green gas emission and the environment impact assessment by LCA. The hardware techniques are adjustment of equipment system and development of eco- friendly material. But, it is nonexistent that a study related to $CO_2$ emission considered detail process in construction industry. This study analyzed the correlation of equipment combination, $CO_2$ emission and duration by calculate $CO_2$ emission follow to equipment combination on earth-work which is the process emitted most $CO_2$ among railway bedding construction.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.169-181
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• 2023

Recently, in order to reduce carbon dioxide (CO₂) emissions, which is the main cause of global warming, Korea has declared carbon emission reduction targets and carbon neutral. Accurate assessment of regional emissions and atmospheric CO₂ concentrations is becoming important as a result. In this study, we identified the spatiotemporal differences between satellite-based atmospheric CO₂ concentration and CO₂ emissions for the Korean Peninsula region using column-averaged CO₂ dry-air mole fraction from the Orbiting Carbon Observatory-2 and emission inventory. And we explained these differences using solar-induced fluorescence (SIF), a photosynthetic reaction index according to vegetation growth. The Greenhouse Gas Inventory and Research Center (GIR) and Emissions Database for Global Atmospheric Research (EDGAR) emissions continued to increase in Korea from 2014 to 2018, but the satellite-based atmospheric CO₂ concentration decreased in 2018, respectively. Regionally, GIR and EDGAR emissions increased in 2018 in Gyeonggi-do and Chungcheongbuk-do, but satellite-based CO₂ concentrations decreased for the corresponding years. In addition, the correlation analysis between emissions and satellite-based CO₂ concentration showed a low correlation of 0.22 (GIR) and 0.16 (EDGAR) in Seoul and Gangwon-do. Atmospheric CO₂ concentrations showed a different correlation with SIF by region. In the CO₂-SIF correlation analysis for the growing season (May to September), Seoul and Gyeonggi-do showed a negative correlation coefficient of -0.26, Chungcheongbuk-do and Gangwon-do showed a positive correlation coefficient of 0.46. Therefore, it can be suggested that consideration of the CO₂ absorption process is necessary for analyzing the relationship between the atmospheric CO₂ concentration and emission inventory.

• Korean Journal of Mineralogy and Petrology
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• v.36 no.2
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• pp.147-166
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• 2023

This study aimed to develop and apply guidelines for calculating greenhouse gas emissions to activate the contribution of the Korea Institute of Geoscience and Mineral Resources (KIGAM) for institutional-level research activities. In addition, we intended to improve awareness by identifying greenhouse gas emissions from KIGAM's basic research and development (R&D) activities in fiscal 2022. Herein, the research plan and budget contents of individual projects were analyzed, whilst the boundaries and scopes of greenhouse gas emissions were determined, with 22 cases being derived as either direct, indirect, or other sources of emissions. Subsequently, research activity emissions were calculated by emission source. The greenhouse gas emissions of KIGAM's 2022 basic project R&D activities were 2,041.506 tCO2eq, of which direct emissions were 793.235 tCO2eq (38.86%), indirect emissions comprised 305.647 tCO2eq (14.97%), whilst other emissions were 942.624 tCO2eq (46.18%). In particular, greenhouse gas emissions per 100 million won in the KIGAM's basic projects for fiscal 2022 (a total of 96.661 billion won) was calculated as 2.11 tCO2eq, whilst greenhouse gas emissions per participating researcher (was 4.800 tCO2eq. Such calculations should be carried out annually rather than once and accumulated for at least 5 years. Accordingly, it will be possible to standardize specific matters that influence emissions according to differences in research field characteristics and methods, thus guiding greenhouse gas emission reduction management in the future and evaluating the contributions of Environmental, Social and Governance (ESG) management to the environmental sector.

• Journal of Korean Society of Transportation
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• v.29 no.2
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• pp.25-35
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• 2011

In order to reduce Green House Gas(GHG) reduction in the road freight sector and thus establish green logistics, running efficiency of goods vehicles is of paramount importance. Providing effective transportation infrastructure can contribute to achieve the green logistics by reducing empty running of heavy goods vehicles and van, increasing the average payload on the vehicle, and shifting the transportation mode. In order to reduce the environmental impact from the road freight sector, it is essential to quantify the amount of environmental loading from the sector. However, any systematic survey on the environmental loading from the logistics companies has not been carried out in Korea. In this study, the environmental index for the road freight sector is defined as the amount of $CO_2$ emission per ton km generated from goods vehicles. The computational analysis shows that the average $CO_2$ emission per ton km generated by the logistics companies in Korea is $363g-CO_2/ton{\cdot}km$. Compared to UK (=$130g-CO_2/ton{\cdot}km$) and France (=$97g-CO_2/ton{\cdot}km$), the efficiency of logistics in Korea is 2.8 and 3.7 times as low as in the advanced countries. It also indicates that the main reasons for the low efficiency are mainly due to the high rate of empty operation of goods vehicles and the low payload.

• 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 Society for Marine Environment & Energy
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• v.4 no.4
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• pp.42-50
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• 2001

In this paper, the reduction of CO₂ gas emission and exhaust gas emission by using the shift of coastal transport from land transport for import-export container cargo was proposed. At first, the domestic CO₂ gas emission, exhaust gas emission and the transportation of import-export container cargo are investigated. And also, we investigated the reduction of CO₂ gas emission and exhaust gas emission by the shift of coastal transport from land transport for the transportation of import-export container cargo between Kyongin area and Pusan Port. Finally, the change of NOx gas emission due to the change of the share of coastal transportation and using the 320TEU container ship are investigated. The research results show that the shift of coastal transport from land transport was effective to reduce the CO₂ gas emission and exhaust gas emission.

• Journal of Climate Change Research
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• v.1 no.1
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• pp.13-20
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• 2010

Recently, the operation of construction equipments have increased by many construction project. So a respectable amount of greenhouse gas is expected from construction equipments. But the greenhouse gas emissions from construction equipment have been high uncertainty due investigation of a lack of activity data and emission factors in Korea. In this study, annual greenhouse gas emissions from construction equipment are estimated by IPCC's Tier 2 and Tier 3 method. These methods require emission factors, fuel consumption, average kilowatts and operating hours. As the results, the nationwide emission from construction equipments by Tier 2 and Tier 3 are calculated as $21,784kton-CO_2eq/year$ and $22,811kton-CO_2eq/year$ in 2008.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3169-3175
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• 2014

In this paper, we have established the procedures for $CO_2$ emission estimation BIM libraries by using the material takeoff function that BIM tools fundamentally provide, and verified its availability by applying to steel structures. The BIM library set-up procedures were made up of $CO_2$ emission coefficients and parameter extraction, project unit setting, parameter setting, and $CO_2$ emission quantity calculation formula set-up. We used Revit Architecture 2013 as BIM tool, and established the steel members' family libraries as BIM libraries. It is possible to calculate the $CO_2$ emission quantity by following the proposed BIM library set-up procedures, and users have only to input the $CO_2$ emission coefficients and unit weights of steel members being used. We expect that the results contribute to practical use of BIM in field, and vitalizations of the eco-friendly construction.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.149-166
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• 2013

The purpose of this study is to analyze the regional disparity and its determinants of $CO_2$ emission from the residential energy consumption in China. This study examines factors that affect the $CO_2$ emission per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006~2011. $CO_2$ emission per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. $CO_2$ emission per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on $CO_2$ emission. The findings suggest that the effect of policies reducing $CO_2$ emission per capita may vary by characteristics of the household, energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.