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RISS 인기검색어
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- 저자 : 허용구 ( Her Young Gu ) (검색결과 3 건)
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허용구 ( Her Young Gu ),박승우 ( Park Seung Woo ),강문성 ( Kang Moon Seong ) 한국농공학회 2001 한국농공학회 학술대회초록집 Vol.2001 No.-
A GIS-RUSLE system has been developed to estimate soil losses from where individual fields on a hillslope using the RUSLE in a GIS environment. The GIS-RUSLE adopts a user interface and a user can use the drop-down menus to define the inputs and get the calculated results. The input data are generated from Arc/Info and ArcView GIS and the factors of the RUSLE are provided from ArcView Avenue. Examples of the GIS-RUSLE applications are presented.
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미래 기상 시나리오에 대한 편의 보정 방법에 따른 지역 기후변화 영향 평가의 불확실성
황세운,허용구,장승우,Hwang, Syewoon,Her, Young Gu,Chang, Seungwoo 한국농공학회 2013 한국농공학회논문집 Vol.55 No.4
It is now generally known that dynamical climate modeling outputs include systematic biases in reproducing the properties of atmospheric variables such as, preciptation and temerature. There is thus, general consensus among the researchers about the need of bias-correction process prior to using climate model results especially for hydrologic applications. Among the number of bias-correction methods, distribution (e.g., cumulative distribution fuction, CDF) mapping based approach has been evaluated as one of the skillful techniques. This study investigates the uncertainty of using various CDF mapping-based methods for bias-correciton in assessing regional climate change Impacts. Two different dynamicailly-downscaled Global Circulation Model results (CCSM and GFDL under ARES4 A2 scenario) using Regional Spectial Model for retrospective peiod (1969-2000) and future period (2039-2069) were collected over the west central Florida. Total 12 possible methods (i.e., 3 for developing distribution by each of 4 for estimating biases in future projections) were examined and the variations among the results using different methods were evaluated in various ways. The results for daily temperature showed that while mean and standard deviation of Tmax and Tmin has relatively small variation among the bias-correction methods, monthly maximum values showed as significant variation (~2'C) as the mean differences between the retrospective simulations and future projections. The accuracy of raw preciptiation predictions was much worse than temerature and bias-corrected results appreared to be more significantly influenced by the methodologies. Furthermore the uncertainty of bias-correction was found to be relevant to the performance of climate model (i.e., CCSM results which showed relatively worse accuracy showed larger variation among the bias-correction methods). Concludingly bias-correction methodology is an important sourse of uncertainty among other processes that may be required for cliamte change impact assessment. This study underscores the need to carefully select a bias-correction method and that the approach for any given analysis should depend on the research question being asked.
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강민구 ( Kang Min Goo ),박승우 ( Park Seung Woo ),허용구 ( Her Young Gu ),박창언 ( Park Chang Eun ),강문성 ( Kang Moon Sung ) 한국농공학회 2002 한국농공학회 학술대회초록집 Vol.2002 No.-
For real-time flood forecasting and effective control flood at the Youngsan estuary dam, the Flood Forecasting and Control User Interface System II (FFCUS II) has been developed. This paper describes the features and application of FFCUS II. FFCUS II is composed of the database management subsystem, the model subsystem, and the graphic user interface. The database management subsyem collects rainfall data and stream flow data, updates, processes, and searches the data. The model subsystem predicts the inflow hydrograph, the tide, forecasts flood hydrograph, and simulates the release rate from the sluice gates. The graphic user interface subsystem aids the user's decision-making process by displaying the operation results of the database management subsystem and model subsystem.
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