• Journal of the korean society of oceanography
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• 제38권2호
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• pp.60-67
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• 2003

Typhoon Rusa passed over the East China Sea and crossed over the Korea Peninsula on August 31, 2002. The core of the typhoon passed directly over a data buoy mooring site at ($127^{\circ}45'E,\;34^{\circ}25'\;N$) and several ARGOS-tracked drifters capable of measuring salinity. Peak hourly mean wind speed reached 28 m/s at the mooring site and wind pattern in the East China Sea changed from southerly wind to northwesterly wind after the typhoon passage. Two or three days before the typhoon tile drifter displacement changed significantly and the region-wide circulation pattern changed from a northeastward current to a westward current one week after the typhoon had passed. The surface water in the East China Sea was cooled to about $4^{\circ}C$ under the typhoon core and a general cooling occurred in most of the East China Sea with the exception of the Chinese coast. The salinity as observed by the drifters in the East China Sea increased about 2 psu but the near-shore water along the Korean coast observed by the mooring was freshened about 3 psu. The freshening of near-shore water was caused by an intrusion of off-shore water rather than local freshening by typhoon precipitation.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 한국농림기상학회 2011년도 학술발표회
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• pp.20-27
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• 2011

A system for fine-resolution long-range weather forecast is introduced in this study. The system is basically consisted of a global-scale coupled general circulation model (CGCM) and Weather Research and Forecast (WRF) regional model. The system makes use of a data assimilation method in order to reduce the initial shock or drift that occurs at the beginning of coupling due to imbalance between model dynamics and observed initial condition. The long-range predictions are produced in the system based on a non-linear ensemble method. At the same time, the model bias are eliminated by estimating the difference between hindcast model climate and observation. In this research, the predictability of the forecast system is studied, and it is illustrated that the system can be effectively used for the high resolution long-term weather prediction. Also, using the system, fine-resolution climatological data has been produced with high degree of accuracy. It is proved that the production of agrometeorological variables that are not intensively observed are also possible.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2018년도 학술발표회
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• pp.151-151
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• 2018

The present study is aimed to quantifying the uncertainty in the general circulation model (GCM) selection and its impacts on hydrology studies in the basins. For this reason, 13 GCMs was selected among the 26 GCM models of the Fifth Assessment Report (AR5) scenarios. Then, the climate data and hydrologic data with two Representative Concentration Pathways (RCPs) of the best model (INMCM4) and worst model (HadGEM2-AO) were compared to understand the uncertainty associated with GCM models. In order to project the runoff, the Precipitation-Runoff Modelling System (PRMS) was driven to simulate daily river discharge by using daily precipitation, maximum and minimum temperature as inputs of this model. For simulating the discharge, the model has been calibrated and validated for daily data. Root mean square error (RMSE) and Nash-Sutcliffe Efficiency (NSE) were applied as evaluation criteria. Then parameters of the model were applied for the periods 2011-2040, and 2070-2099 to project the future discharge the five large basins of South Korea. Then, uncertainty caused by projected temperature, precipitation and runoff changes were compared in seasonal and annual time scale for two future periods and RCPs compared to the reference period (1976-2005). The findings of this study indicated that more caution will be needed for selecting the GCMs and using the results of the climate change analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2019년도 학술발표회
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• pp.336-336
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• 2019

기후변화는 미래 수문 순환 및 수자원에 악영향을 미칠 수 있는 가장 잠재력이 큰 요인이다. 특히 강우량의 변동은 가뭄 홍수를 더욱 양극화 할 수 있으며, 지역별 수문 순환에 막대한 영향을 주기 때문에 수자원 관리 계획 수립 시 기후변화 요소를 필히 고려해야 한다. 추계 강우 생성 모형은 상대적으로 적은 매개변수를 이용하여 긴 강우 시나리오를 생성할 수 있는 장점을 바탕으로 기후 변화와 결합하여 기후 변화 영향 평가에 활발하게 활용되고 있다. 본 연구에서는 General Circulation Model(GCM)으로 모의한 미래 월강우 자료에서 기후변화에 따른 강우량의 변화를 변동 인자(Change factor)로 정량화하고, 강우생성모형인 THM(The hybrid model)에 적용하여 미래 강우 시나리오를 모의하고자 한다. 먼저 기상청 28개 종관기상관측소를 대상으로 강우생성모형의 성능을 평가 하였고, 그 결과 집성기간 1시간-1일에 해당하는 강우의 통계치를 성공적으로 재현함을 확인하였다. 본 연구에서 생성된 미래 강우 시나리오는 1) 기후변화를 고려하였으며, 2) 시 단위의 고해상도 강우자료이며, 3) 수문 모의에 필요한 만큼 충분히 길게 생성할 수 있기 때문에 미래 수자원 관리 계획 및 수문 분석에 효과적으로 활용될 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2018년도 학술발표회
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• pp.35-35
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• 2018

본 연구의 목적은 한강유역을 대상으로 다중 GCMs (General Circulation Models)을 이용하여 장기유출량을 분석하는 데 있다. 기후변화 전망을 분석하기 위해 총 13개의 GCMs을 선정하여 사용하였다. SDQDM (Spatial Disaggregation-Quantile Delta Mapping) 방법을 이용하여 GCMs을 60개 종관기상관측장비 (Automated Synoptic Observing System, ASOS)에 대해 상세화하였다. GCMs은 총 6개의 변수(강수, 최고 기온, 최저기온, 풍속, 상대습도, 일사량)를 제공하였다. 장기유출량 분석은 투수지역과 불투수지역을 모두 고려할 수 있는 HSPF 모형을 선정하여 수행하였다. 장기유출량의 공간적인 범위는 한강유역의 16개 중권역을 기준으로 선정하였고, 시간적인 범위는 과거 기준 기간 (Reference period: 1976-2005), 미래 3개 기간 (Near future period: 2011-2040, Mid-century period: 2041-2070, Distance future period: 2071-2099)으로 30년 단위로 구분하여 선정하였다. 본 연구는 13개의 GCM을 사용하여 추정된 장기유출량의 연간 및 계절적 평균과 변동성을 분석하였다. 본 연구에서 HSPF 모형을 활용하여 분석한 결과는 복잡한 한강유역의 특성을 적절히 반영하여, 기후변화에 따른 수자원 계획 및 통합 유역 관리를 수립하기 위한 기초 자료로 활용될 수 있을 것이라 사료된다.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2019년도 학술발표회
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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.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2019년도 학술발표회
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• pp.145-145
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• 2019

Groundwater and rainwater are the only sources of freshwater in small islands as many islands lack surface water sources. Groundwater occurring in the form of freshwater lens floating on denser seawater is highly dependent on natural recharge from rainfall. A sharp interface numerical model for regional and well scale modeling is selected to assess the sustainability of freshwater lens in the island of Tongatapu. In this study, 29 downscaled General Circulation Model(GCM) predictions are input to the recharge model based on water balance modelling. Three GCM predictions which represent wet, dry and medium conditions are selected for use in the groundwater flow model. Total freshwater volume and number of saltwater intruded wells are simulated under various climate scenarios with GCM predicted rainfall pattern, sea level rise and pumping. Simulations indicate that the sustainability of the freshwater lens is threatened by the frequent droughts which are predicted under all scenarios of recharge. The natural depletion of the lens during droughts and increase in water demands, leads to saltwater upconing under the pumping wells. Implementation of drought management measures is of utmost importance to ensure sustainability of freshwater lens in future.

• Journal of The Korean Society of Agricultural Engineers
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• 제63권6호
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• pp.49-60
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• 2021

BCSA (Bias-Correction and Stochastic Analog) is a statistical downscaling technique designed to effectively correct the systematic errors of GCM (General Circulation Model) output and reproduce basic statistics and spatial variability of the observed precipitation filed. In this study, the applicability of BCSA was evaluated using the ASOS observation data over South Korea, which belongs to the monsoon climatic zone with large spatial variability of rainfall and different rainfall characteristics. The results presented the reproducibility of temporal and spatial variability of daily precipitation in various manners. As a result of comparing the spatial correlation with the observation data, it was found that the reproducibility of various climate indices including the average spatial correlation (variability) of rainfall events in South Korea was superior to the raw GCM output. In addition, the needs of future related studies to improve BCSA, such as supplementing algorithms to reduce calculation time, enhancing reproducibility of temporal rainfall patterns, and evaluating applicability to other meteorological factors, were pointed out. The results of this study can be used as the logical background for applying BCSA for reproducing spatial details of the rainfall characteristic over the Korean Peninsula.

• Journal of The Korea Institute of Healthcare Architecture
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• 제25권2호
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• pp.27-35
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• 2019

Purpose: This study is to address the spacial composition of a standard ward and bedroom size for sake of infection control and efficient medical service. Methods: Spacial composition of a standard ward has been proposed by comparative analysis of 5 big hospitals' wards. Bedroom sizes have been explored on the ground of Health care facility regulations from Korea, USA, Australia and Canada. Of course, Literature and field survey have been conducted in order to draw out various bedroom sizes. Results: 16 basic and some other additional spaces have been proposed for the composition of hospital standard ward. Area of Single bedroom is $11.6m^2$, and that of multi-beded room is $7.4m^2$. Bed to bed Clearance is 1.5m, spacing between bedsize and hard wall is 0.9m in 1~2 beded room, 0.75m in 4-beded room. Space clearance between Foot side of bed and curtain is proposed as 0.3m and additional 0.9m is necessary for the circulation. Implications: The result of this study can be applied to the new cons.

• Journal of radiological science and technology
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• 제42권5호
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• pp.357-363
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• 2019

To the basic information of patients with subarachnoid hemorrhage due to rupture of cerebral aneurysm treated with coil embolization, and to identify the general trend of treatment through classification according to hospitalization route, residence distribution, location and size of cerebral aneurysm, and procedure. A total of 164 patients with ruptured cerebral aneurysms treated with coil embolization were 54(32.9%) males and 110(67.1%) females. The sex and frequency of occurrence by age group were the most in 50s(31.3%), and among them, females were the most. The hospitalization route was the most common in 122(74.4%) people who were admitted to the emergency room through 119 evacuation, 79(48.2%) patients lived in where hospitals belong to the hospital. The season had 23(14%) in December, 18(11%) in January, 15(9.1%) in February, and the anterior circulation was 153(93%). The largest size was 5-7 mm found in 63(38.4%) patients. Patients underwent initial coil embolization for subarachnoid hemorrhage due to cerebral aneurysm rupture treated more patients than the incidence of the population. As a result of cerebral aneurysm rupture was seasonally affected, and winter occurs more frequently, female than male, age 50 is most common, and ruptured cerebral aneurysm is 5-7 mm in size.