• Solar Energy
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• v.18 no.3
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• pp.41-50
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• 1998

The purpose of this study is to analyze the energy consumption status for various building types in Taejon. 35 sample buildings were classified into 8 building types, i.e., sports center & swimming pools, hotels, telecommunication exchange service facility, hospitals, research laboratories, department stores, exhibition galleries, universities. According to analyses, energy consumption patterns varies significantly for each building type. Sports centers consumes highest rate(689 $Mcal/sqm{\cdot}yr$) and universities lowest rate(86 $Mcal/sqm{\cdot}yr$) among selected building types.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.224-224
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• 2019

국제기상기구의 Global Framework for Climate Services (GFCS)의 관점에서 살펴보면 국내의 기상 기후 정보는 기상청을 중심으로 관측 자료와 중장기 예측 및 기후변화 시나리오 정보 등의 다양한 시간규모로 생산되고 있다. 하지만 사용자가 직접적으로 다양한 기후정보를 상세화하여 활용하기 위해서는 기후정보의 구축 및 전처리를 수행해야하는 어려움이 있다. 따라서 APEC Climate Center (APCC)에서 다학제 융합 기반 기후정보 서비스를 중심으로 사용자 인터페이스 플랫폼 (User Interface Platform: UIP)의 기술적 플랫폼으로 APCC Integrated Modeling Solution (AIMS)를 개발하였다. AIMS는 사용자의 관점으로 상세화를 수행할 수 있고, 다양한 응용 분야에 적용하기 쉽게 데이터를 생성하여 연구에 도움을 주고 있다. 본 연구는 AIMS에서 제공하고 있는 기존의 국가별로 제공하는 제 5차 결합 기후모델 비교사업 (The $5^{th}$ phase of the coupled model intercomparision project, CMIP5)에서 해석한 전구기후모델 (General Circulation Model, GCM)의 통계적 상세화 방법인 Simple Quantile Mapping (SQM)과 Spatial Disaggregation Quantile Delta Mapping (SDQDM)를 포함하여 AIMS에 새롭게 추가 된 통계적 상세화 방법인 Bias Correction and Stochastic Analog (BCSA) 방법을 소개하고자 한다. 또한 60개의 종관기상관측 (Automated Surface Observing System, ASOS)자료를 중심으로 생성한 세 가지 통계적 상세화방법의 과거재현성과 RCP4.5, RCP8.5 시나리오를 활용한 미래 불확실성 평가 결과를 이용하여 연구자들의 맞춤형 자료를 생산하고 평가하는데 도움을 줌으로써 다양한 기후자료의 효과적인 활용이 가능할 것으로 기대된다.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.1
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• pp.1-13
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• 2023

Various techniques for bias correction and statistical downscaling have been developed to overcome the limitations related to the spatial and temporal resolution and error of climate change scenario data required in various applied research fields including agriculture and water resources. In this study, the characteristics of three different statistical dowscaling methods (i.e., SQM, SDQDM, and BCSA) provided by AIMS were summarized, and climate change scenarios produced by applying each method were comparatively evaluated. In order to compare the average rainfall characteristics of the past period, an index representing the average rainfall characteristics was used, and the reproducibility of extreme weather conditions was evaluated through the abnormal climate-related index. The reproducibility comparison of spatial distribution and variability was compared through variogram and pattern identification of spatial distribution using the average value of the index of the past period. For temporal reproducibility comparison, the raw data and each detailing technique were compared using the transition probability. The results of the study are presented by quantitatively evaluating the strengths and weaknesses of each method. Through comparison of statistical techniques, we expect that the strengths and weaknesses of each detailing technique can be represented, and the most appropriate statistical detailing technique can be advised for the relevant research.

• Journal of Climate Change Research
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• v.9 no.1
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• pp.13-29
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• 2018

This study presented evaluation procedure for selecting appropriate GCMs and downscaling method by focusing on the climate extreme indices suitable for climate change adaptation. The procedure includes six stages of processes as follows: 1) exclusion of unsuitable GCM through raw GCM analysis before bias correction; 2) calculation of the climate extreme indices and selection of downscaling method by evaluating reproducibility for the past and distortion rate for the future period; 3) selection of downscaling method based on evaluation of reproducibility of spatial correlation among weather stations; and 4) MME calculation using weight factors and evaluation of uncertainty range depending on number of GCMs. The presented procedure was applied to 60 weather stations where there are observed data for the past 30 year period on Korea Peninsula. First, 22 GCMs were selected through the evaluation of the spatio-temporal reproducibility of 29 GCMs. Between Simple Quantile Mapping (SQM) and Spatial Disaggregation Quantile Delta Mapping (SDQDM) methods, SQM was selected based on the reproducibility of 27 climate extreme indices for the past and reproducibility evaluation of spatial correlation in precipitation and temperature. Total precipitation (prcptot) and annual 1-day maximum precipitation (rx1day), which is respectively related to water supply and floods, were selected and MME-based future projections were estimated for near-future (2010-2039), the mid-future (2040-2069), and the far-future (2070-2099) based on the weight factors by GCM. The prcptot and rx1day increased as time goes farther from the near-future to the far-future and RCP 8.5 showed a higher rate of increase in both indices compared to RCP 4.5 scenario. It was also found that use of 20 GCM out of 22 explains 80% of the overall variation in all combinations of RCP scenarios and future periods. The result of this study is an example of an application in Korea Peninsula and APCC Integrated Modeling Solution (AIMS) can be utilized in various areas and fields if users want to apply the proposed procedure directly to a target area.

• Journal of Korean Society for Quality Management
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• v.27 no.1
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• pp.211-222
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• 1999

6 Sigma is defined as the state of "defect free quality" with only 3.4 defective, goods out of 1 million. Samsung Display Device(SDD) was quick to embark on a new way of quality innovation. The goals of 6 Sigma campaign are established on the foundation of customer satisfaction such as quality, cost and service. Production field of SDD has a special 6 Sigma campaign, SQM(Standard Quality Management). Quality qualification system is introduced and implemented with strong reinforcement. C-S-I(Chart-Solve-Implement) model which was made by Dr. Bajaria(1991) is adopted for the project. All the workers of company will be encouraged to participate in the drive.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.88.2-88.2
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• 2015

지난 2009-2010년 수행한 제 1차 수도권 밤하늘 밝기 측정에 이어, 우리는 2014년 12월부터 2015년 2월까지 제 2차 수도권 밤하늘 밝기 측정을 수행하였다. 이번 2차 측정에서는 지난 1차 측정과 가능한 한 동일한 장소와 조건에서 밤하늘 밝기를 측정함으로써, 지난 5년간 발생한 밤하늘 밝기 및 주변 환경의 변화와 이 둘 사이의 상관관계를 알아보고자 하였다. 밤하늘 밝기 측정에 사용된 기기는 1차 측정과 마찬가지로 'SQM(Sky Quality Meter)-L'을 사용하였다. SQM-L은 표면등급($mag/arcsec^2$) 단위로 밤하늘을 측정하며 측정 오차는 ${\pm}0.1$ 등급이다. 이번 측정 결과 밤하늘 밝기가 가장 어두운 지역은 경기도 가평군 청평면 고성리(20.6 등급)로, 1차 측정에서의 가장 어두운 지역과 동일했다. 반면 가장 밝은 지역은 서울 영등포구 윤중초교와 서울 중구 남산초교(16.5 등급)로 나타났으며, 가장 어두운 지역과 밝은 지역 사이의 밤하늘 밝기 차이는 약 40배(~4 등급)로 나타났다. 이번에 측정한 밤하늘 밝기는 지난 1차 관측에 비해 전 지역에서 평균 0.5 등급 어두워진 것으로 나타났다. 특히 서울 은평구 갈현초교는 5년 사이에 1.5 등급 어두지면서 가장 큰 차이를 보였다(1차: 16.0 등급, 2차: 17.5 등급). 본 포스터에서는 이번 측정 결과와 진행 과정을 소개하고 두 관측 기간 사이에 발생한 밤하늘 밝기 변화의 원인에 대하여 토론하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.1
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• pp.119-126
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• 2020

This study analyzed the effects of future climate change on water resources in the Gyeongan-cheon watershed of the Han River. Considering the uncertainties of GCM climate data, future data using 16 GCMs and SQM downscaling method are used. And SWAT model was applied to simulate the hydrological changes from the past to the future. The maximum to minimum difference according to GCM for the future period (2010-2099) was about 1,500 mm of annual precipitation, 150 mm of evapotranspiration, 1,380 mm of runoff, and the deviation from the mean was -40 % to +60 % of precipitation, ±15 % of evapotranspiration, -60 % to +90 % of runoff, which means that the variability is very high according to GCM. The impacts of climate change over the three future periods showed that precipitation, evapotranspiration, and runoff were expected to increase gradually toward the far future (2070-2099), and would be relatively larger under the RCP 8.5 scenario. On a monthly basis, it was analyzed that precipitation and runoff increased in July to September, while the evapotranspiration decreased in July and August, and increased in September and October. The results of this study are expected to be helpful in understanding the future climate impacts of various GCM data and the uncertainties associated with GCMs.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2567-2569
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• 2005

본 논문에서는 해양분야에 적용 가능한 GPS(Global Positioning System) 코드, 반송파, 항법 메시지 감시 기법을 제안한다. GPS를 구성하고 있는 위성, 지상 제어국, 사용자부에 내재한 고장 요인들에 대하여 분석하고 이를 바탕으로 각 고장에 대응할 수 있는 검사기법들을 제시한다. 제시하는 검사기법은 DGPS 기준국에서 수행할 수 있는 검사 기법으로 신호 감시 기법(SQM, Signal Quality Monitoring), 데이터 감시 기법(DQM, Data Quality Monitoring), 측정치 감시 기법(MQM, Measurement Quality Monitoring)으로 구성된다. 해양 분야에 적용을 위하여 해양 분야에서 요구하는 GNSS(Global Navigation Satellite System)에 대한 안전조건을 조사하고 이를 바탕으로 해양 분야에 사용가능한 감시 기법을 제시한다.

• Membrane and Water Treatment
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• v.8 no.6
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• pp.613-623
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• 2017

We report the novel thin film composite RO membrane modified by graphene oxide. The thin film composite RO membrane was exposed to 2000 mg/l sodium hypochloride; thereafter it was subjected to different graphene oxide concentration ranging from 50 mg/l to 1000 mg/l in water. The resultant membrane was crosslinked with 5000 mg/l N-hydroxysuccinimide. The performance of different membranes were analysed by solute rejection and water-flux measurement. It was found that 100 mg/l graphene oxide exposure followed by 5000 mg/l N-hydroxysuccinimide treatment resulted in the membrane with the highest solute rejection of 97.78% and water-flux of 4.64 Liter per sqm per hour per bar g. The membranes were characterized by contact angle for hydrophilicity, scanning electron micrographs for surface morphology, energy dispersive X-Ray for chemical composition of the surface, Atomic force microscope for surface roughness, ATR-FTIR for chemical structure identification. It was found that the graphene oxide modified membrane increases the salt rejection performance after exposure to high-fouling water containing albumin. Highly hydrophilic, antifouling surface formation with the nanomaterial led to the improved membrane performance. Moreover, the protocol of incorporating nanomaterial by this post-treatment is simple and can be applied to any RO membrane after it is manufactured.

• Journal of Climate Change Research
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• v.9 no.1
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• pp.31-45
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• 2018

This study implemented the prediction of drought properties (number of drought events, intensity, duration) using the user-oriented systematical procedures of downscaling climate change scenarios based the multiple global climate models (GCMs), AIMS (APCC Integrated Modeling Solution) program. The drought properties were defined and estimated with Effective Drought Index (EDI). The optimal 10 models among 29 GCMs were selected, by the estimation of the spatial and temporal reproducibility about the five climate change indices related with precipitation. In addition, Simple Quantile Mapping (SQM) as the downscaling technique is much better in describing the observed precipitation events than Spatial Disaggregation Quantile Delta Mapping (SDQDM). Even though the procedure was systematically applied, there are still limitations in describing the observed spatial precipitation properties well due to the offset of spatial variability in multi-model ensemble (MME) analysis. As a result, the farther into the future, the duration and the number of drought generation will be decreased, while the intensity of drought will be increased. Regionally, the drought at the central regions of the Korean Peninsula is expected to be mitigated, while that at the southern regions are expected to be severe.