• Journal of the Korean Institute of Gas
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• v.22 no.5
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• pp.31-37
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• 2018

The distrust about chemical plant safety have been increased by occurring the major industrial accidents. Chemical plants have become more and more enlarged and sophisticated to increase production amount and decrease cost. So hazard of industrial accidents also have been increased. In this situation, quantitative risk assessment is activated by introducing OCA(Off-site Consequence Analysis). So it is possible to analyze the objective hazard of chemical plant. Currently OCA focus on the end point of hazardous area by fire/explosion/dispersion. But in this case, it is possible to analyze the industrial accident effect to near the chemical plant but hard to consider the actual hazard by frequency and population density. This study analyzes the validity about application of F-N curve to OCA by compare end point with F-N curve about accident.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1098-1101
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• 2006

최근 3대강특별법에 의하여 시행되고 있는 환경부의 수질오염총량관리를 위해 서낙동강 유역인 낙본N 단위유역에 대한 해당 지자체의 기본계획과 시행계획이 수립된 바 있다. 낙본N 단위유역은 서낙동강을 중심으로 좌측의 대부분이 경상남도 김해시이고, 우측과 하류부는 부산광역시 강서구이다. 서낙동강은 평상시에는 주요 농업용수 공급원과 철새도래지로서 홍수시에는 거대한 유수지 역할을 하고 있다. 서낙동강 유역내에는 분뇨처리장, 하수처리장, 농업 및 축산활동, 내수면 양식어업, 오염원 배출공장 등의 점, 비점오염원이 있으며 대저수문과 녹산수문에 의해 조절되는 정체수역으로서 오염부하강도가 높은 유입지천들로 인하여 상습적인 녹조 발생수역으로 수질개선의 필요성이 매우 높은 지역이다. 본 연구에서는 대표 유역으로 낙본N유역의 소유역 중 배출부하량이 가장 큰 지류에 해당하는 조만강 유역인 낙본N06 소유역의 오염원 조사결과를 이용하여 오염부하량 산정기법을 검토하였다. 장래 오염부하량 예측은 자연증가, 개발계획, 삭감계획에 의해 산정하는데, 이와 같은 과정에서 과거 오염원조사, 부하량산정, 폐수 배출부하량 모니터링 과정에서의 불확실성이 따르게 된다. 본 연구에서는 이와 같은 오염부하량산정 과정에서의 정확도를 높이고자 오염원 자료의 증감에 따른 오염부하량 산정결과의 민감도 분석을 통하여 신뢰도 평가를 수행하였다. 방대한 오염원자료를 이용한 오염부하량 산정은 한국환경정책평가연구원(KEI)에서 개발한 데이터베이스관리 프로그램(Access Program)을 이용하였으며, 각 오염원별 오염원 현황 및 전망 결과와 환경부의 수계오염총량관리기술지침에서 제시한 각 오염원별 오.폐수발생원단위, 배출원단위, 전환계수, 배출계수 등을 이용하여 각 오염원별 배출부하량을 산정하였다. 본 연구에서는 오염원 조사나 장래 오염원 예측에서 있을 수 있는 오차에 대한 전체 배출부하량의 변화를 살펴봄으로써 방대한 양의 오염원 조사시에 정확성 및 효율성을 높이고자 하였다. 본 연구의 결과를 통해 할당부하량을 개별 오염원별로 할당하고 적정한 개발계획과 실현가능한 삭감계획 및 이행방안을 수립하기 위한 오염원조사를 수행함에 있어 기초자료의 효율적인 관리를 통해 오염부하량 산정의 정확성을 높이고자 한다.

• Journal of Korean Society on Water Environment
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• v.31 no.3
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• pp.235-240
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• 2015

To evaluate the unit load generation and discharge, pig cage test was conducted. Feed intake, drink amount, and urine generation increased growth stage (heavy weight) of the pig more great. However, the sum of the urine and manure did not show a significant difference in the growth stages of pigs. Because of the limit of the experiment, e.g., research period, high pigpen temperature, breed-related stress and etc., it could not be derived the results of the four seasons. Therefore, in order to generalize the results, the feed intakes were calibrated using a NRC (National Research and nutritional requirements of pigs from the Commission) standards. The finalized unit load generation and generation amounts of manure and urine were estimated at BOD 104.1 g/head/d, T-N 21.2 g/head/d, T-P 4.9 g/head/d, manure 0.96 L/d, urine 1.66 L/d with consideration of revised feed intake. Compare to the former research results of MOE (Ministry of Environment, 1999) and NIAS (National Institute of Animal Science, 2008), the generation amounts of manure and urine were similar to the NIAS's values. In case of unit load generation, BOD and T-N were almost similar in all of them. However, the T-P unit load generation of MOE was more difference, e.g., 2.5 times high, compare to this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.511-511
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• 2016

오염부하량은 오염원으로부터 발생하는 발생부하량, 수체로 배출되는 배출부하량, 수체의 특정지점까지 도달하는 유달부하량으로 구분할 수 있으며, 하천의 수질관리대책 수립을 위해서는 정확한 유달부하량 산정이 필요하다. 유달부하량 산정방법에는 실측에 의한 방법, 모델링을 이용한 방법, 유달율을 이용하는 방법 등이 있다. 이중 유달율은 오염원으로부터 배출된 오염물질이 수체의 특정지점에 도달하는 비율이며, 일반적으로 배출부하량과 유달부하량의 비를 의미한다. 따라서 특정 유역의 유달율을 알고 있을 경우 배출부하량을 이용한 유달부하량의 추정이 가능하다. 유달율을 산정하는 방법은 모니터링을 통해 유달부하량과 배출부하량의 비율을 직접 계산하는 방법, 기 개발된 유역특성을 이용한 회귀식을 이용하는 방법, 모델링을 이용하는 방법 등이 있다. 본 연구에서는 청미천 상류유역을 대상으로 수문 수질 모니터링을 통해 유달부하량을 계산하고, 배출부하량과의 비교를 통해 유달율을 산정하여 수질관리대책 마련의 기초자료로 이용하고자 한다. 청미천 상류유역은 경기도 용인시에 위치하고 있으며, 축사가 밀집한 지역으로 수질관리가 필요한 지역이다. 모니터링 지점은 청미천의 지류인 양가천을 따라 3개 지점, 청미천 본류에 1개 지점을 선정하였다. 유량 자료는 초음파 수위계를 이용해 측정한 수위자료와 수위-유량곡선을 이용해 구축하였으며, 수질 자료는 월1회 이상 정기 측정 및 강우시 정밀 측정을 실시하여 구축하였다. 수문 수질 자료를 이용해 유량-부하량 관계식을 도출하고, 이를 이용해 유달부하량을 계산하였다. 또한, 통계자료를 통해 각 모니터링 지점을 말단으로 하는 유역의 오염원 현황 자료를 구축하였으며, 환경부 원단위를 이용하여 모니터링 지점별 배출부하량을 산정하였다. 마지막으로, 유달율은 배출부하량과 유달부하량의 비로 계산하였으며, 선행연구들의 결과와 비교 및 분석하였다. 본 연구의 결과는 향후 청미천 유역의 수질관리대책 마련에 이용될 수 있을 것으로 기대된다.

• Resources Recycling
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• v.28 no.2
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• pp.40-45
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• 2019

During steelmaking in EAF, recycled scraps is used as a main material, melted by arc, and electricity use as a main energy. Slag foaming is an important technology for reducing electrical energy. CO gas generated by the reaction between injection carbon and (FeO), [C] and injection {$O_2$}. CO gas generated by this reaction is collected in slag, resulted in slag foaming. In general, the carbon materials used in the EAF process is anthracite and coke. This study investigated the effects of the carbon materials used on slag foaming in the steelmaking process. As a result of this study, the slag foaming height is increased by cokes rather than anthracite, and with an increase in the amount of particles samller than $500{\mu}m$. Based on these results, the application to the operation resulted in increase of slag forming height, reduction of injection carbon, and reduction of electrical energy.

• Journal of the Korean Recycled Construction Resources Institute
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• v.4 no.1
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• pp.101-109
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• 2009

This CW(Construction wastes) are increasing as construction industry is growing, so many countries make efforts to recycle CW. Korea also made a stipulation for recycling CW. But the main content of this stipulation is for using recycled aggregates. Advanced countries try to increase reuse rate of not only recycled aggregate but also other kinds of wastes. So they are adopting SDM(separating dismantlement) method and we are also planning to make the system for SDM. This study is about SDM analysis through construction field investigation and difference analysis between SDM and UDM comparing predictive amount by UDM with real generated amount by SDM. First, the generated amount of construction wastes by SDM is more than estimated amount by UDM, and mixed waste was specially reduced more than UDM. The warehouse is easier than the office building to applicate SDM. But still there is no manual for SDM in the site, so establishment of SDM is demanded.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.5
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• pp.728-733
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• 2010

This study was carried out to estimate carbon emission using LCA and to establish LCI database of potato production system. Potato production system was categorized into the fall season potato and the spring season potato according to potato cropping type. The results of collecting data for establishing LCI D/B showed that input of fertilizer for fall season potato production was more than that for spring season potato production. Input of pesticide for spring season potato production was much more than that for fall season potato production. The value of field direct emission ($CO_2$, $CH_4$, $N_2O$) were 2.17E-02 kg $kg^{-1}$ for spring season potato and 2.47E-02 kg $kg^{-1}$ for fall season potato, respectively. The result of LCI analysis focussed on the greenhouse gas (GHG), it was observed that carbon footprint values were 8.38E-01 kg $CO_2$-eq. $kg^{-1}$ for spring season potato and 8.10E-01 kg $CO_2$-eq. $kg^{-1}$ for fall season potato; especially for 90% and 6% of $CO_2$ emission from fertilizer and potato production, respectively. $N_2O$ was emitted from the process of N fertilizer production (76%) and potato production (23%). It was observed that characterization of values of GWP were 8.38E-01 kg $CO_2$-eq. $kg^{-1}$ for spring season potato and 8.10E-01 kg $CO_2$-eq. $kg^{-1}$ for fall season potato.

• Journal of Wetlands Research
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• v.11 no.1
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• pp.75-82
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• 2009

The regulation of emission concentration for stream water qualities doesn't control quantitative increase on pollution loads, it has limits for improvement of water qualities. Total water pollution load management system(TMDL) can control the total amount of pollutant in waste water which is allowed to assign and control the total discharged pollutant loads in a permissible level. When it comes to generated wastewater value of TMDL system, there is difference between calculated value based on individual pollutant unit load and observed value. Calculated sewer inflow, calculated sewer outflow, measured sewer inflow, and measured sewer outflow at dry season are $26,460.9m^3$/d, $17,778.6m^3$/d, $17,106.1m^3$/d and $19,033.9m^3$/d respectively, Calculated sewer inflow, calculated sewer outflow, measured sewer inflow, and measured sewer outflow at rainy season are $49,512.2m^3$/d, $18,628.7m^3$/d, $30,918.2m^3$/d, $19,700.7m^3$/d respectively. This result presents the necessity to acquire the precise observed data to fulfill the efficient TMDL system.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.185-193
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• 2011

As a Lift axle is an additional axle installed mostly in heavy freight truck, It"s introduced for the purpose of cost saving, such as logistics, fuel, tire wear and prevention of the pavement damage. However, the Effects of a lift axle are anecdotal and they have occurred often that a lift axle is used improperly by expectations of some drivers. For these reasons, this study conducts a field experiment in order to identifying the change rate of fuel consumption due to an a Lift axle using, develops the fuel consumption model of field data, and then compares the effects of a Lift axle using through application of the model. As a result, fuel consumption decreased in loading conditions that are both empty and full when not using a lift axle.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.65-71
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• 2011

It is practically hard to measure vehicle fuel consumption required to evaluate the energy-related governmental policies and traffic management strategies; the existing methods are too simplified due to the limited field data available. Existing methods are even unable to reflect the amount of fuel consumed when vehicles accelerate and decelerate, and such technical limitations have reduced the quality of the policy evaluation. This study proposes a new fuel consumption model that simultaneously considers the effects of both cruising speed and acceleration/deceleration of vehicles. A new fuel consumption model was developed based on the simulation data generated by AVL Cruise, a vehicle simulation program. The estimated by the proposed model was compared against the one from the existing method. Comparison results showed that the proposed model provided much reliable estimate (fuel consumption) than the other did.