• 한국기후변화학회지
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• 제10권3호
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• pp.237-242
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• 2019

Ammonia is main precursor gas of secondary particulate matter and contributes almost 78% of total ammonia emission from the agricultural sector in Korea. The current method of estimating ammonia emission from fertilizer application, which contributes 7% of the total emission, has high uncertainty and needs to be improved to better predict PM2.5 concentration. In this study, we suggest an improvement method for ammonia emission quantification from fertilizer application. The first improvement was in the emission factor of NPK fertilizer by conducting a field study to verify the currently used factor. The improved NPK emission factor of 52.2 kg NH ton-1N was confirmed by comparing with the value from the EEA (European Environment Agency) and adjusting the value for the Korean climate and soil conditions. We also improved the amount of fertilizer usage by including the sales amount to the fertilizer supply amount of the Korean Farmers Association, increasing total fertilizer usage by 39.8%. As the statistical data on fertilizer supply and sales are compiled yearly, we estimated monthly emission of ammonia by considering cultivated areas and timing of fertilization for each crop. In summary, we suggest a novel and practical method to improve estimation methodology of ammonia emission from the field of fertilizer application: 1) emission factor of NPK fertilizer was reconfirmed; 2) total amount of fertilizer use was revised considering fertilizer sales; and 3) monthly emission of ammonia was realized by considering different crop practices. A bottom-up approach to compile activity data is needed to increase the estimation accuracy of monthly emission of ammonia, which is very helpful for predicting PM2.5 concentration.

• KIEAE Journal
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• 제8권4호
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• pp.19-27
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• 2008

The carbon dioxide is brought from the energy consumption and regarded as a criteria material to estimate the Global Warming Potential. Building shares about 30% in national energy consumption and affects to environment as much as the energy consumption. But there is not enough data to forecast the amount of the carbon dioxide during the maintenance stage. Various factors are related with the energy consumption and carbon dioxide emission such as the physical area, the building exterior area, the maintenance type and location. Among these factors, the building carbon-dioxide emission can be estimated by the overall building characteristics such as the maintenance area, the number of household, the heating type, etc., The physical amount such as the thickness of the insulation and window infiltration could explained the limited scope and might not be use to estimate the total carbon-dioxide emission energy because the each value could not include or represent the overall building. In this paper, it provided the estimation model of the carbon-dioxide emission, explained by the overall building characteristics. These factors are shown as the maintenance area, no. of household, the heating type, the volume of the building, the ratio of the window to wall area etc., For providing the estimation model of th carbon-dioxide emission, it conducted the corelation analysis to filter the variables and suggested the estimation model with the power model and multiple regression model. Most of the model have a good statistics and fitted in the curve line.

• 한국대기환경학회지
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• 제20권2호
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• pp.263-276
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• 2004

According to the annual emission estimates of U.S.A., fugitive dust, the particulate matter entrained in the ambient air which is caused from man-made or natural activities such as movement of soil, vehicles, equipments and windblown dust, contributes 90% of PM$_{10}$ emission. In spite of an importance of fugitive dust emission in PM$_{10}$ estimation, it is excluded in the national emission inventory of Korea so far. In this paper, an emission inventory of fugitive dust for each region and in major cities throughout the country, which is the first time in Korea these values have been compiled, is presented. Sources of fugitive dust emission have been classified into paved/unpaved roads, construction operations, agricultural operations, and natural sources. The emission factors of the existing fugitive dust emission were reassessed in a way that significantly improved the reliability of the estimated result. The Korea's first national emission inventory of fugitive dust by administrative districts proposed in this paper would provide scientific reference data for establishing an reduction strategy of PM$_{10}$ and preparing effective control measures, and would contribute to academic achievement in the atmospheric environments field and the establishment of CAPSS (Clean Air Policy Support System).stem).

• Environmental Analysis Health and Toxicology
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• 제19권2호
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• pp.227-233
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• 2004

The main objectives of this study were to identify from literature review the potential sources and to provide a preliminary national emission inventory for the unintentionally produced polychlorinated biphenyls (PCBs) (i.e., by - product PCBs). In Korea, fuel combustion, waste combustion, thermal industrial processes, and transportation were identified as potential sources of by -product PCB s. According to the availability of the emission factors and/or activity data, emission inventory could be assessed only for fuel combustion, waste combustion, steel industry, non-ferrous industry, and non-metallurgical industry. The total national emission of by-product PCBs was estimated to be 1087kg for the year 2000. The preliminary estimation further indicated that the steel manufacturing was the single dominant emission category, contributing 93％ to the total emission. Of the steel manufacturing processes, the contribution of the electric arc furnace was about 80％ of the total emission. Due to high uncertainty associated with both the emission factors and activity statistics, the emission estimates in this study are likely to contain significant errors. However, the results of the present work could serve the first step toward future efforts to establish national source and emission inventories of by-product PCBs.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2006년도 추계학술발표대회 논문집
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• pp.328-333
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• 2006

A few methodologies have been recently developed to estimate the environmental affect when various materials and components are used in building life cycle. The direct survey method has limitations to analyze the environmental problems because of the limit of survey scope and cost. Therefore, another indirect method has been developed as alternatives. The indirect method is represented as input-output analysis. This paper aimed at analyzing the estimation the environmental affect of building materials and works at building construction, utilizing the input-output analysis as a indirect estimation method. The results suggested that the building works is overally responsible for the energy consumption and $CO_2$ emission. In other words, Over the 80% of the total consumption and $CO_2$ emission are resulted at the building work.

• Architectural research
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• 제18권4호
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• pp.145-149
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• 2016

Recently, a goal was set globally to reduce the Carbon Dioxide ($CO_2$) emission at national levels by 30 % in comparison to the Business As Usual (BAU) pursuant to the United Nations Framework Convention on Climate Change. As construction industry accounts for as high as 40 % of the $CO_2$ emission by the entire industrial sector in Korea, efforts toward reducing emissions from the construction industry are essential. Buildings are mainly responsible for $CO_2$ emissions, and, to reduce the $CO_2$ emitted from the buildings, a fast and accurate calculation method is required to be introduced in the architectural design phase. If the standardized data based on Building Information Modelling (BIM) is utilized, $CO_2$ emissions can be calculated quickly and accurately during the design phase. However, it is difficult for the designers who lack the knowledge regarding $CO_2$ emissions to reduce and manage such emission during the planning and design phases of buildings by estimating the quantities of various materials and the corresponding $CO_2$ emissions. Accordingly, the objective of this study is to develop a BIM-based $CO_2$ emission estimation system for a rapid and objective analysis and verification of $CO_2$ emissions.

• 대한교통학회지
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• 제31권6호
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• pp.90-105
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• 2013

자동차는 다양한 차속, 가감속도 및 출력의 변화를 겪게 된다. 이와 같은 동적 주행 특성에 의한 온실가스 배출특성은 현행 평균속도 기반의 방법만으로는 정확히 추정하기 어려운 것으로 알려져 있다. 본 연구에서는 미시적 주행 특성의 변화를 고려하는 국외의 미시 기반 배출량 산정방법론 중에서 MOVES를 국내에 도입하기에 가장 적합한 모형으로 선정하여 국내 적용 가능한 미시기반 온실가스 배출량 산정 모형을 개발하였다. 개발 모형에는 MOVES의 배출량 산정 개념을 도입하고, MOVES의 기본 배출율 맵을 활용하여 국내 차량 구분에 맞는 미시 배출맵을 추정하여 적용하였다. 본 개발 모형을 기존 우리나라 배출계수 산정 체계와 연계시켜 비교한 결과 MOVES로부터 추정한 미시 배출율 맵을 국내에 적용하는 것이 타당하나 양국간의 차량규모의 차이를 고려할 필요성이 있음을 발견하였다. 이에, 차종별로 미시배출맵 보정계수를 추정하여 적용함으로써 우리나라 대표 차종에 대응하는 미시기반 배출율 맵을 추정하여 개발모형을 실제로 국내에 활용할 수 있도록 하였다.

• International Journal of Control, Automation, and Systems
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• 제5권1호
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• pp.43-50
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• 2007

Reheating furnace is an essential facility of a rod mill plant where a billet is heated to the required rolling temperature so that it can be milled to produce wire. Although it is very important to obtain information on billet temperatures, it is not feasible during furnace operation. Consequently, a billet temperature profile should be estimated. Moreover, this estimation should be done within an appropriate time interval for an on-line application. In this paper, a billet heat transfer model based on 2D FEM(Finite Element Method) with spatially distributed emission factors is proposed for an on-line billet temperature estimation and also a measurement is carried out for two extremely different furnace operation patterns. Finally, the difference between the model outputs and the measurements is minimized by using a new optimization algorithm named uDEAS(Univariate Dynamic Encoding Algorithm for Searches) with multi-step tuning strategy. The obtained emission factors are applied to a simulation for the data which are not used in the model tuning for validation.

• 한국대기환경학회지
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• 제19권4호
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• pp.387-396
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• 2003

A field study was conducted during the summer time of 2002 to determine compositions of volatile organic compounds (VOCs) emitted from vehicles and to develop source emission profiles that is applied to CMB model to estimate the source contribution of certain area. Source emission profile is widely used for the estimation of source contribution by the chemical mass balance model and have to be developed applicable for the target area of estimation. This study was aimed to develop source emission profile and estimation of source contribution of VOCs after application of the chemical mass balance (CMB) receptor model. After considering the emission inventory and other research results for the VOCs in Seoul, Korea, the sources like vehicle emission (tunnel), gas station (gasoline, diesel), solvent usage (painting operation, dry cleaning, graphic art), and gas fuels were selected for the major VOCs sources. Furthermore, ambient air samples were simultaneously collected from 09:00 to 11:00 for four days at eight different official air quality monitoring sites as receptors in Seoul during summer of 2001. Source samples were collected by canisters, and then about seventy volatile organic compounds were analyzed by gas chromatography with flame ionization detector (GC/FID). Based on both the developed source profiles and the database of the receptors, CMB model was intensively applied to estimate mass contribution of VOCs sources. Examining the source profile from the vehicle, the portion of alkanes of VOCs was highest, and then the portion of aromatics such toluene, m/p-xylene were followed. In case of gas fuel. they have their own components; the content of butane, propane, ethane was higher than any other component according to the fuel usage. The average of the source apportionment on VOCs for 8 sites showed that the major sources were vehicle emission and gas fuels. The vehicle emission source was revealed as having the highest contribution with an average of 49.6%, and followed by solvent with 21.3%, gas fuel with 16.1%, gasoline with 13.1%.

• 한국디지털건축인테리어학회논문집
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• 제11권2호
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• pp.83-92
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• 2011

The purpose of this study is to propose strategies for reducing greenhouse gas emissions on urban areas. This study is made up GHG emission estimation and emission prospect methods, setting of GHG reduction target, GHG reduction plan formulation and feasibility assessment. The significance of this study is as follows. First, this study provides the local government for the overall frame of low carbon strategies. Second, this study contribute to establishment of GHG emission reduction strategies in the local autonomy by providing GHG emission estimation and setting reduction target which is essential elements of reduction strategy. Third, we organize a reduction element for low carbon city embodiment and showed the way to assessment the reduction effect of these elements quantitatively.