• Korean Journal of Radiology
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• v.25 no.1
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• pp.24-32
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• 2024

Despite improvements in operative techniques and perioperative care, post-hepatectomy liver failure (PHLF) remains the most serious cause of morbidity and mortality after surgery, and several risk factors have been identified to predict PHLF. Although volumetric assessment using imaging contributes to surgical simulation by estimating the function of future liver remnants in predicting PHLF, liver function is assumed to be homogeneous throughout the liver. The combination of volumetric and functional analyses may be more useful for an accurate evaluation of liver function and prediction of PHLF than only volumetric analysis. Gadoxetic acid is a hepatocyte-specific magnetic resonance (MR) contrast agent that is taken up by hepatocytes via the OATP1 transporter after intravenous administration. Gadoxetic acid-enhanced MR imaging (MRI) offers information regarding both global and regional functions, leading to a more precise evaluation even in cases with heterogeneous liver function. Various indices, including signal intensity-based methods and MR relaxometry, have been proposed for the estimation of liver function and prediction of PHLF using gadoxetic acid-enhanced MRI. Recent developments in MR techniques, including high-resolution hepatobiliary phase images using deep learning image reconstruction and whole-liver T1 map acquisition, have enabled a more detailed and accurate estimation of liver function in gadoxetic acid-enhanced MRI.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.3
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• pp.303-314
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• 2024

Precipitation data are an integral part of water management planning, especially the design of hydroelectric structures and the study of floods and droughts. However, it is difficult to obtain accurate data due to space-time constraints. The recent increase in hydrological variability due to climate change has further emphasized the importance of precipitation simulation techniques. Therefore, in this study, the Modified Bartlett-Lewis Rectangular Pulse model was utilized to apply the parameters necessary to predict daily precipitation. The effect of this parameter on the daily precipitation prediction was analyzed by applying exponential distribution, Gamma distribution, and Weibull distribution to evaluate the suitability of daily precipitation prediction according to each distribution type. As a result, it is judged that parameters should be selected in consideration of regional and seasonal characteristics when simulating precipitation using the MBLRP model.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.91-102
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• 2007

To anticipate and respond to harmful algae produced in a big artificial lake like Daecheong reservoir, development of a regional analysis computer system using GIS or RS technique is needed in addition to biological and chemical research. The purpose of this study is to develop a cyanobacterial blooming prediction model to prevent harmful algae produced in Daecheong reservoir and construct an early forecasting system based on GIS. For this purpose this paper examines previous studies related to the relationship between cyanobacteria and environmental factors in Daecheong reservoir and selects precipitation and air temperature as two important environmental factors for the development of cyanobacterial blooming prediction model. Data used in this study are water quality and weather data for three water regions in Daecheong reservoir between 2000 and 2004. Based on qualitative correlation analysis between cyanobacteria and environmental factors, this paper presents a Rump model which enables us to predict cyanobacteria in water regions of Daecheong reservoir. Under this model the prediction of initial occurrence time and growth period of cyanobacteria are possible. The model is also applied to the GIS-based early forecasting system for cyanobacteria, and finally a GIS which can predict cyanobacteria produced in Daecheong reservoir and can manage the related data is developed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.551-557
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• 2021

Attached parking lots installation criteria is determined by use, total floor area, etc. according to the Parking Lot Act and local government ordinances. However, with traffic demand increase inconvenience about use of culture and assembly facilities have been raised. When planning number of parking lots for cultural and assembly facilities, legal parking lots and unit parking lots are used, but this causes inconvenience and traffic problems on the surrounding roads, because reality and convenience are not considered. Therefore, this study intend to present an realistic number of parking lots calculating equation for movie theater in Gwangju Metropolitan City. After investigating number of parking lots, number of screens, number of seats, total floor area, bus route and illegal parking for a cultural facility in Gwangju Metropolitan City, prediction model for calculating number of parking lots was presented using SPSS regression analysis. As a result of comparing prediction model and unit method, the prediction model was be closer actual cumulative parking space, so prediction model verification was completed. Based on the model verified in this study, Realistic number of parking lots will be installed. However, due to limitations of research on specific areas, research on various facilities should continue in consideration of regional, population, and urban characteristics

• Atmosphere
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• v.34 no.1
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• pp.55-67
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• 2024

This paper aims to provide a detailed introduction to the concept of the Ratio of Predictable Component (RPC) and the Signal-to-Noise Paradox. Then, we derive insights from them by exploring the paradoxical features by conducting a seasonal and regional analysis through ensemble expansion in KMA's climate prediction system (GloSea). We also provide an explanation of the ensemble generation method, with a specific focus on stochastic physics. Through this study, we can provide the predictability limits of our forecasting system, and find way to enhance it. On a global scale, RPC reaches a value of 1 when the ensemble is expanded to a maximum of 56 members, underlining the significance of ensemble expansion in the climate prediction system. The feature indicating RPC paradoxically exceeding 1 becomes particularly evident in the winter North Atlantic and the summer North Pacific. In the Siberian Continent, predictability is notably low, persisting even as the ensemble size increases. This region, characterized by a low RPC, is considered challenging for making reliable predictions, highlighting the need for further improvement in the model and initialization processes related to land processes. In contrast, the tropical ocean demonstrates robust predictability while maintaining an RPC of 1. Through this study, we have brought to attention the limitations of potential predictability within the climate prediction system, emphasizing the necessity of leveraging predictable signals with high RPC values. We also underscore the importance of continuous efforts aimed at improving models and initializations to overcome these limitations.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.300-302
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• 2008

For the evaluation of wind resources, numerical simulation was carried out as a tool for establishing wind map around the korean peninsula. Initial and boundary condition are given by 3 hourly RDAPS(Regional Data Assimilation and Prediction System) data of KMA(Korea Meteorology Administration) and high resolution terrain elevation land cover(30 seconds) data from USGS(United States Geological Survey). Furthermore, Data assimilation was adopted to improve initial meteorological data with buoy and QuikSCAT seawinds data. The simulation was performed from 2003 to 2006 year. To understand wind data correctly in complex terrain as the korean peninsula, at this research, Wind map was classified 4 categories by distance from coastline and elevation.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.114-118
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• 2005

본 연구에서는 특정 유역의 토양수분 상태, 한계유출량(threshold runoff) 및 단기 기상예보 자료 등으로부터 돌발홍수능(Flash Flood Guidance, FFG)을 계산할 수 있는 실시간 돌발홍수 예경보시스템을 개발하기 위해 한강유역을 대상으로 DEM 자료를 이용하여 미세 소유역을 구분하고 하도단면 특성을 고려한 제방 월류 유량 개념을 기초로 고해상도 소유역 단위의 한계유출량을 산정하고, 중규모 TOPMODEL의 토양수분 모델을 통해 임의 상태의 토양수분을 추정할 수 있도록 개발하였다 또한, FFG 시스템의 기상학적 구성요소 개발을 위해 레이더 강우 추정을 편차보정 기법을 통해 계산하였다. 상술된 계산결과를 바탕으로 2003년 7월의 호우사상에 대한 유역 및 격자기반의 FFG를 산정하였고, 이들 결과는 기상청의 RDAFS(Regional Data Assimilation and Prediction System) 단기 수치예보 자료의 지속시간별 예측강수량을 활용하여 돌발홍수 발생에 대한 사례연구를 수행하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.221-225
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• 2006

본 연구에서는 한계유출량(threshold runoff), 특정 유역의 토양수분 상태 및 단기 기상예보 자료 등으로부터 한강유역의 돌발홍수능(Flash Flood Guidance, FFG)을 계산할 수 있는 한국형 돌발홍수 예경보시스템을 개발하였다. 한강유역의 DEM 자료를 이용하여 미세 소유역을 구분하고 하도단면 특성을 고려한 제방 월류유량 개념을 기초로 고해상도 미세 소유역 단위의 지속시간별 한계유출량을 산정하였고, Sacramento 토양수분 모델을 통해 임의 시간의 토양수분 상태를 실시간으로 추정할 수 있는 돌발홍수 모델의 수문학적 구성요소를 개발하였다. 또한, FFG 시스템의 기상학적 구성요소로 레이더 강우 추정을 추계 동역학적 편차보정 기법을 통해 계산하였다. 상술된 수문 및 기상학적 구성요소를 바탕으로 2003년 7월 및 2004년 8월의 호우사상에 대한 유역기반의 FFG를 산정하였고, 기상청의 RDAPS(Regional Data Assimilation and Prediction System) 단기 수치예보 자료의 지속시간별 예측강수량을 활용하여 돌발홍수 발생 가능성에 대한 사례연구를 수행하였다.

• Atmosphere
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• v.14 no.3
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• pp.19-28
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• 2004

In this study, two years Automatic Weather Station (AWS) data observed near the coast and islands are used to evaluate gust factors only when time averaged wind speed is higher than 5 ms. The gust factors are quite different in spatial and temporal domain according to analysis method. As the averaged time is increased, the gust factors are also increased. But the gust factors are decreased when wind speed is increased. It is because each wind speed is averaged one and a maximum wind is the greatest one for each time interval. The result from t-test is shown that all data are included within the 99% significance level. A sample standard deviation of ten minutes and one minute are 0.137~0.197, 0.067~0.142, respectively. Recently, the gust factor provided at the Korea Meteorological Administration (KMA) Homepage is calculated with one-hour averaged method. All though this method is hard to use directly for forecasting the strong wind over sea and coast, the result will be a great help to express Ocean Storm Flash in the Regional Meteorological Offices and the Meteorological Stations.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.403-407
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• 2001

For the water quality management of stream and lake, it is important to estimate and control nonpoint source loading to meet the water quality standard. So, integrated watershed management is required. BASINS is a multipurpose environmental analysis system for use by regional, state, and local agencies in performing watershed and water quality based studies. BASINS was developed by the USEPA to facilitate examination of environmental information, to support analysis of environmental systems and to provide a framework for examining management alternatives. BASINS contains HSPF which is one of the watershed runoff model. By using HSPF, nonpoint source loading from upper stream watershed was estimated. As a result, the simulated runoff was in a good agreement with the observed data and indicated reasonable applicability for whole watershed.