• Spatial Information Research
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• v.23 no.1
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• pp.1-8
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• 2015

The purpose of this study is to develope BIM Template according to major building material for efficiently and quantitatively evaluating greenhouse gas emission at the design stage. Template users consider various environmental impacts without connecting simulation tools for analyzing environmental impact and Template users who have no prior knowledge can Life Cycle Assessment by using The green template. For this study, Database which was reflected in template was constructed considering environmental performance. and 6 kinds of environmental impact categories and PPS standard construction codes were analyzed by major building material derived from literature. Based on this analyzed data, The major Material Family according to the main building material was developed. When users conduct modeling by utilizing Family established, evaluating result can be confirmed in the Revit BIM Modeling program by using the schedule function of the Revit. Users through the modeling, the decision-making environment performance possible. In addition, we propose to create a guideline for the steps required to build an additional established family.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.6
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• pp.457-463
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• 2014

This study was carried out to find out major factors to mitigate carbon emission using Life Cycle Assessment (LCA). System boundary of LCA was confined from sowing to packaging during vegetable production. Input amount of agri-materials was calculated on 2007 Income reference of white radish, chinese cabbage and chive produced at open field and film house published by Rural Development Administration. Domestic data and Ecoinvent data were used for emission factors of each agri-material based on the 1996 IPCC guideline. Carbon footprint of white radish was 0.19 kg $CO_2kg^{-1}$ at open fields, 0.133 kg $CO_2kg^{-1}$ at film house, that of chinese cabbage was 0.22 kg $CO_2kg^{-1}$ at open fields, 0.19 kg $CO_2kg^{-1}$ at film house, and that of chive was 0.66 kg $CO_2kg^{-1}$ at open fields and 1.04 kg $CO_2kg^{-1}$ at film house. The high carbon footprint of chive was related to lower vegetable production and higher fuel usage as compared to white radish and Chinese cabbage. The mean proportion of carbon emission was 35.7% during the manufacturing byproduct fertilizer; white radish at open fields was 50.6%, white radish at film house 13.1%, Chinese cabbage at outdoor 38.4%, Chinese cabbage at film house 34.0%, chive at outdoor 50.6%, and chive at film house 36.0%. Carbon emission, on average, for the step of manufacturing and combustion accounted for 16.1% of the total emission; white radish at open fields was 4.3%, white radish at film house 15.6%, Chinese cabbage at open fields 6.9%, Chinese cabbage at film house 19.0%, chive at open fields 12.5%, and chive at film house 29.1%. On the while, mean proportion of carbon footprint for the step of $N_2O$ emission was 29.2%; white radish at open fields was 39.2%, white radish at film house 41.9%, Chinese cabbage at open fields 34.4%, Chinese cabbage at film house 23.1%, chive at open fields 28.8%, and chive at film house 17.1%. Fertilizer was the primary factor and fuel was the secondary factor for carbon emission among the vegetables of this study. It was suggested to use Heug-To-Ram web-service system, http://soil.rda.go.kr, for the scientific fertilization based on soil testing, and for increase of energy efficiency to produce low carbon vegetable.

• Journal of Korean Society of Environmental Engineers
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• v.38 no.8
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• pp.403-410
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• 2016

During expressway construction it has been input a lot of material, but it does not manage to estimate quantitatively. In this study, the total material requirement for construction of expressway, which separated direct material requirement and indirect material requirement each section was quantified by combining life cycle assessment (LCA) and material flow analysis (MFA). In the direct material requirement, sand 2.27E + 04 ton/km, limestone 1.02E + 04 ton/km and gravel 4.47E + 03 ton/km were required, in the indirect material requirement, gravel 2.75E + 04 ton/km, iron 9.80E + 03 ton/km and coal 9.74E + 03 ton/km were required. Material such as sand, limestone which has high direct material requirement is require of excess input prevention from construction site, and material such as iron, rare metals(chrome, nickel) and coal which has high indirect material requirement is require additional studies of resource management.

• Resources Recycling
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• v.27 no.1
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• pp.74-83
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• 2018

This study conducted the Life Cycle Assessment(LCA) on waste rubber recycling technology for recovering rubber product from the waste tires. Environmental impacts were assessed for the five categories of impacts: global warming, resource depletion, acidification, eutrophication, photochemical oxide production, and ozone layer depletion. When recycling 1ton of waste tire containing rubber, global warming impact was 1.77E+02 kg $CO_2-eq.$, resource depletion impact was 1.23E+00 kg Sb-eq., acidification impact was 5.92E-01 kg $SO_2-eq.$, eutrophication impact was 1.23E-01 kg $PO{_4}^{3-}-eq.$, photochemical oxide production impact was 3.42E-01 kg $C_2H_4-eq.$, and ozone layer depletion impact was 1.87E-04 kg CFC11-eq. In terms of overall environmental impacts, carbon, softener and electricity the greatest impact, so it is necessary to compare the environmental impacts of the raw materials to replace carbon and softener, and a method to reduce the filler usage in the process is needed. In addition, it is necessary to improve energy efficiency, change to low-energy sources, and apply renewable energy.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.2
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• pp.256-262
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• 2011

Currently among the several methods to estimate an environmental impact of products, Life Cycle Assessment (LCA) technique is mostly used. The Ministry of Environment has been performed the carbon footprint labelling to give the carbon record of product by using this method. But the calculation of carbon footprint in primary agricultural product which is raw material of the processed food cannot be made because there is lack of methodology and LCI DB at agriculture sector. Therefore, LCA carried out to estimate carbon footprint, and established LCI DB for complex fertilizers (21-17-17 1 kg, 17-21-17 1 kg, 15-15-15 1 kg, Unspecified 1 kg) in the production system. The result of LCI DB analysis focussed on the GHG, and it was observed that the values of carbon footprint were $2.42E+00kg\;CO_2-eq.kg^{-1}$ for 21-17-17, $2.10E+00kg\;CO_2-eq.kg^{-1}$ for 17-21-17, $2.23E+00kg\;CO_2-eq.kg^{-1}$ for 15-15-15 and $3.56E+00kg\;CO_2-eq.kg^{-1}$ for Unspecified. For the analysis of LCIA (Life Cycle Impact Assessment) on complex fertilizers in the production system, the carbon footprint from pre-manufacturing phase is contributed to 98.96%, 98.81%, 98.88% and 99.30% on each complex fertilizer with 21-17-17, 17-21-17, 15-15-15, and Unspecified, respectively. These results will be used in basic data for estimation of agricultural greenhouse gas emissions.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.5
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• pp.490-499
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• 2016

In this study, the marine ecological impacts of dephosphorized slag and steel slag on the initial life cycle of the rotifer Brachionus plicatilis and benthic copepod Tigriopus japonicus (in marine trophic structure as a first consumer) exposure to slag extracts have been considered using a marine ecotoxicological assessment. In the results of a screen test on slag extracts, the pH of an undiluted solution was measured to have high alkalinity (pH 8.89-12.16), but a toxic reaction to this undiluted solution before and after aging was divided according to test species. For non-aged slag, the toxic effect ($LC_{50}$) of neonate on B. plicatilis was seen to be severe with dephosphorized slag (20.8 %) than steel slag (63.8 %) with under pH-uncontrolled conditions. The toxic values of dephosphorized and steel slag were estimated to be 35.3 % and 36.0%, respectively, for nauplius with T. japonicus. However, the toxicity of slag extracts before and after aging were different for T. japonicus than for B. plicatilis based on the characteristics of the test materials, with pH-controlled conditions. In conclusion, the results of this study suggest that slag can be relatively stable after aging and may not be likely to influence marine environments, even given repetitive extracting under pH-uncontrolled conditions. This study confirms that a marine ecotoxicological assessment method applied to mechanically activated samples can give an idea of the resistance a marine environment has against the introduction of hazardous materials due to precipitation and weathering.

• Journal of Animal Environmental Science
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• v.17 no.sup
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• pp.1-6
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• 2011

Korean Government announced 'The Roadmap to realize a low carbon green society on year 2020' on July 12, 2011 in order to mitigate greenhouse gas (GHG) emissions. Non-energy category of Food, Agriculture, Forestry and Fishery (FAFF) should mitigate 1,349 kilo $CO_2$-equivalent ($CO_2$-eq.) tonnes which is 7.1% of Business-As-Usual on year 2020. The mitigation from animal manure treatment system (AMTS) comprises ca. 45% of the total mitigated amount of Non-energy category of FAFF. Hence, the precise evaluation of GHG emissions from AMTS is important to find effective mitigation measures. Life cycle assessment was used to evaluate GHG emissions from AMTS. The most GHG emitter was a composting/liquid fertilizer/activated sludge system (1,649.45 kg $CO_2$-eq./head/year) and the least GHG emitter was a activated liquid fertilizer system (1,024.46 kg $CO_2$-eq./head/year). Thermophilic oxic process showed the highest ratio (34.9%) of GHG emissions by the use of electricity to total GHG emissions from systems. Energy efficiency should be considered to mitigate GHG emissions from AMTS.

• Journal of Korean Society of Environmental Engineers
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• v.37 no.1
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• pp.52-59
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• 2015

Recently the dairy cow industry have faced environmental issues such as eutrophication, global warming, etc. An LCA was used to quantify the environmental impact of a dairy cow system and to identify key issues contributing to the impact. The system boundary crop cultivation for feeding dairy cow, feed production, rearing and manure management (cradle-to-gate). The functional unit was 1 kg of milk (fat protein corrected milk, FPCM) produced. Rearing and cultivation of feed crops stages in system boundary to the environmental impact of the domestic dairy cow system were dominant issues. Techniques such as suppression of enteric fermentation, improvement of the energy efficiency of farm equipment and apparatuses, management of leachate generated during the crop cultivation, and development of controling the loss of fertilizer during crop production would be necessary for the improvement of the environmental key issues of the dairy cow system.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.58-65
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• 2014

This study aims to understand the environmental impact reduction of green buildings that are certified by Green standard for energy and environmental design(G-SEED). To ensure this end, this study assessed and compared the environmental impacts(global warning, ozone layer depletion, acidification, and eutrophication) of a G-SEED-certified elementary school building(green building) and an uncertified elementary school building(traditional building) using the life cycle assessment methodology. This study considered the environmental impacts from the material manufacturing, material transportation, on-site construction, and operation during 40 years. The comparison of the environmental impact intensity of two buildings showed that the green building generated much more environmental impacts than the traditional building. For example, the global warming potential of the green building was approximately 12.5% higher than of the traditional building since the global warming potential of the green building was 3.751 $t-CO_2eq./m^2$ while that of the traditional building was 3.282 $t-CO_2eq./m^2$. It signifies that the G-SEED doesn't guarantee the reduction of the environmental impacts in terms of four impact categories. Therefore, the G-SEED should be complemented and improved to achieve the environmental impact reduction.

• Clean Technology
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• v.24 no.4
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• pp.269-274
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• 2018

In this study, Life Cycle Assessment (LCA) of wet tissue manufacturing process was performed. The wet tissue manufacturing process consists of preparation of wetting agent (chemical liquid), impregnation of nonwoven fabric into wetting agent and primary and secondary packaging. Data and information were collected on the input and output of the actual process from a certain company and the database of the Korea Ministry of Environment and some foreign countries (when Korean unavailable) were employed to connect the upper and the lower process flow. Based on the above and the potential environmental impacts of the wet tissue manufacturing process were calculated. As a result of the characterization, Ozone Layer Depletion (OD) is 3.46.E-06 kg $CFC_{11}$, Acidification (AD) is 5.11.E-01 kg $SO_2$, Abiotic Resource Depletion (ARD) is $3.52.E+00\;1yr^{-1}$, Global Warming (GW) is 1.04.E+02 kg $CO_2$, Eutrophication (EUT) is 2.31.E-02 kg ${PO_4}^{3-}$, Photochemical Oxide Creation (POC) was 2.22.E-02 kg $C_2H_4$, Human Toxicity (HT) was 1.55.E+00 kg 1,4 DCB and Terrestrial Ecotoxicity (ET) was 5.82.E-04 kg 1,4 DCB. In order to reduce the environmental impact of the manufacturing process, it is necessary to improve the overall process as other general cases and change the raw materials including packaging materials with less environmental impact. Conclusively, the energy consumed in the manufacturing process has emerged as a major issue, and this needs to be reconsidered other options such as alternative energy. Therefore, it is recommended that a process system should be redesigned to improve energy efficiency and to change to an energy source with lower environmental impact. Due to the nature of LCA, the final results of this study can be varied to some extent depending on the type of LCI DB employed and may not represent of all wet tissue manufacturing processes in the current industry.