• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.178-183
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• 2004

Hydrological models simulate the land phase component of the water cycle and provide a mechanism for evaluating the effects of climatic variation and change on water resources. Evapotranspiration(ET) is a critical process within hydrological models. This study evaluates five different methods for estimating ET in the SLURP(Semi-distrubuted Land Use Runoff Process)model, in the Yongdam basin. The five ET methods were the FAO Penman-Monteith, Motorn CRAE(Complementary Relationship Area Evapotranspiration), the Spittlehouse-Black, the Granger, the Linarce model. We evaluated the five ET models, based on the ability of SLURP model to simulate daily streamflow. and How the five ET methods influence the sensitivity of simulated streamflow to changes in key model parameters and validation SLURP independently for each ET methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.383-383
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• 2011

증발산은 유출량과 같은 다른 수문순환 요소들에 비해 가장 만족스럽지 못하게 설명되는 부분이다. 왜냐하면 증발산은 직접 측정 할 수 있는 것이 아니라 물 수지 등과 같은 간접적인 방법을 통해 추정되기 때문이다. 대부분의 증발산량 산정 모형들은 너무나 많은 종류의 기상자료를 입력자료로 요구하기 때문에 현실적으로 수문학적 모형에 적용되기는 어려운 실정이다. 이에 대해 본 연구에서는 준분포 수문모형인 SLURP 모형을 이용하여 토지피복변화에 따른 증발산량의 변화를 분석하였다. SLURP 모형은 유역 내에서의 증발산량을 산정하기 위해 기상요소뿐만 아니라 토양습윤량의 변화를 고려할 수 있으며 토지피복변화를 반영할 수 있다. 대상유역으로는 우리나라의 5대강 유역을 대상으로 하였으며, SLURP 모형에 탑재되어 있는 Morton CRAE (Complementary Relationship Areal Evapotranpiration) 모형을 이용하여 토지피복별 증발산량을 산정하였다. 5대강유역을 대상으로 토지피복변화분석 및 그에 따른 증발산량 변화를 모의하여 증발 및 증산량의 변화를 확인하였다.

• Journal of Korea Water Resources Association
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• v.37 no.9
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• pp.745-758
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• 2004

Hydrological models simulate the land phase components of the water cycle and provide a mechanism for evaluating the effects of climatic variation and change on water resources. Evapotranspiration(ET) is a critical process within hydrological models. This study evaluates five different methods for estimating ET in the SLURP(Semi-distributed Land Use Runoff Process)model, in the Yongdam basin. The five ET methods were the FAO Penman-Monteith, Morton CRAE (Complementary Relationship Area Evapotranspiration), the Spittlehouse-Black, the Granger, the Linacre model. We evaluated the five ET models, based on the ability of SLURP model to simulate daily streamflow, and How the five ET methods influence the sensitivity of simulated streamflow to changes in key model parameters and validation SLURP independently for each ET methods. The results showed that the Merton CRAE model had more physical significance and gave better agreement simulated stream flow and recorded flows. It noted that the Morton CRAE model might be more appropriate for the simulation of the actual evapotranspiration in SLURP hydrologic model.

• Journal of Korea Water Resources Association
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• v.37 no.8
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• pp.631-641
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• 2004

The objective of this study is to test the applicability of SLURP (Semi-distributed Land Use-based Runoff Process) on Soyanggang-dam watershed. SLURP model is a conceptual semi-distributed form model that can be used to examine irrigation plan and the effects of proposed changes in water management within a basin or to see what effects external factors such as climate change or changing land cover might have on various water users. Topographical parameters were derived from DEM using TOPAZ and SLURPAZ. Monthly NDVIs were calculated from multi-temporal NOAA/AVHRR images during four years (1998 ∼ 2001). Weather elements (dew-point temperature, solar radiation, maximum/minimum temperature and relative humidify) were obtained from five meteorological stations within and near the study area. To simulate daily hydrograph during 1998 ∼ 2001, the model parameters of each land cover class were optimized by sensitivity analysis and SCE-UA method. Test result of SLURP was summarized by various statistics method (WMO volume error, Nash-Sutcliffe efficiency, mean error and coefficient of variation).

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.204-208
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• 2007

본 연구에서는 SLURP 모형을 이용하여 농업용 저수지의 수문학적 영향을 분석하고자 하였다. 안성천 유역내 공도수위관측소 지점의 상류유역을 대상으로, 유역내 고삼 및 금광 농업용 저수지를 고려하여 두 저수지 지점 및 공도 지점에서 저수지의 고려시 및 미고려시에 대한 각각의 하천유출 거동을 분석하였다. 우선 공도수위관측소의 9개년$(1998{\sim}2006)$ 동안의 일별 하천 유출량 자료를 이용하여 모형의 보정(1999, 2002, 2004)과 검증(1998, 2006)을 실시한 결과, 보정과 검증기간의 Nash-Sutcliffe 모델효율계수는 각각 $0.70{\sim}0.82\;%,\;0.56{\sim}0.61\;%$이었다. 금광 및 고삼 저수지지점에서는 저수지 고려 및 미고려시 유출율의 차이는 2개년에 대하여 각각 $10.5{\sim}31.1\;%$의 차이를 보였다. 한편 공도지점에서의 하천유출량은 3.7 %, 7.2 %의 차이를 보여 두 저수지 유역에서 발생한 유역 유출량이 저수지 운영에 의하여 저류 및 방류시키는 영향을 반영한 것으로 판단되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.724-727
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• 2008

수문학에서 유출을 모의하는데 가장 많이 쓰이는 방법은 강우-유출모형을 이용하는 방법이다. 이때 대부분의 연구에서는 강우를 참값으로 가정하고 있으며, 이러한 가정을 기초로 하여 매개변수나 동일 유역내에서 강우-유출모형에 따른 불확실성에 대한 연구가 주를 이루고 있다. 그러나 실제로 관측된 강우자체도 상당한 불확실성을 가지고 있으며, 이러한 불확실성이 강우-유출모형을 거치면서 유출량을 얼마나 변화시키는지에 대한 연구는 아직까지 활발히 이루어지지 못하고 있음을 알 수 있다. 따라서 본 연구에서는 준분포형 모형인 SLURP(Semi-distributed Land Use-based Runoff Processes)을 이용하여 안성천 유역을 대상으로 강우의 불확실성이 유역의 유출량에 미치는 영향을 평가하였다. 강우의 오차를 표현하기 위해 $0.4{\sim}1.3$의 강우 보정 계수를 각각 일 단위 강우사상에 곱하였으며 2004년1월1일$\sim$2007년 12월31일까지 총 4년간의 연속강우사상을 SLURP모형의 입력 자료로 이용하여 분석하였다. 연구결과 강우의 오차가 10% 증가할 경우, 유출량은 26.3% 증가하는 것을 알 수 있었으며, 본 연구를 통해서 강우의 불확실성이 국내유역의 유출량에 미치는 영향을 정량적으로 평가할 수 있었다.

• Journal of Korea Water Resources Association
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• v.43 no.3
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• pp.295-308
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• 2010

As an attempt to explore the impact of droughts which may be worse by the climate change, the change in the water balance of the Han-river basin is analyzed. To accomplish it, we suggest a procedure consisting of three successive sub-procedures: daily rainfall generation for 70 years by the RegCM3 RCM ($27{\times}27\;km$) with the A2 scenario, daily discharge simulations by SLURP using the generated daily rainfall data, and monthly water balance analysis by K-WEAP (Korean Water Evaluation and Planning System) based on the SLURP simulation. Since significant uncertainty is involved in forecasting the future water consumption and water yields, we assumed three water consumption scenarios and fifty water yields scenarios. Three water consumption scenarios are, namely, "LOW", "MEDIUM", and "HIGH" according to the expected amount of water consumption. The fifty daily discharges are obtained from the SLURP simulations during the drought period. Finally, water balance analysis is performed by K-WEAP based on 150 combinations from three water consumption scenarios and the fifty daily discharges. Analysis of water scarcity in small basins of the Han River basin showed concentration of water scarcity in some small basins. It was also found that water scarcity would increase in all small basins of the Han River basin.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2B
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• pp.107-120
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• 2010

The effect of potential future climate change on the inflow of agricultural reservoir and its impact to downstream streamflow by reservoir operation for paddy irrigation water was assessed using the SLURP (semi-distributed land use-based runoff process), a physically based hydrological model. The fundamental input data (elevation, meteorological data, land use, soil, vegetation) was collected to calibrate and validate of the SLURP model for a 366.5 $km^2$ watershed including two agricultural reservoirs (Geumgwang and Gosam) located in Anseongcheon watershed. Then, the CCCma CGCM2 data by SRES (special report on emissions scenarios) A2 and B2 scenarios of the IPCC (intergovernmental panel on climate change) was used to assess the future potential climate change. The future weather data for the year, m ms, m5ms and 2amms was downscaled by Change Factor method through bias-correction using 3m years (1977-2006) weather data of 3 meteorological stations of the watershed. In addition, the future land uses were predicted by modified CA (cellular automata)-Markov technique using the time series land use data fromFactosat images. Also the future vegetation cover information was predicted and considered by the linear regression between monthly NDVI (normalized difference vegetation index) from NOAA AVHRR images and monthly mean temperature using eight years (1998-2006) data.

• Journal of Korea Water Resources Association
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• v.37 no.3
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• pp.185-193
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• 2004

The main purpose of this study is to investigate and evaluate the impact of climate change on the runoff and water resources of Yongdam basin. First, we construct global climate change scenarios using the YONU GCM control run and transient experiments, then transform the YONV GCM grid-box predictions with coarse resolution of climate change into the site-specific values by statistical downscaling techniques. The values are used to modify the parameters of the stochastic weather generator model for the simulation of the site-specific daily weather time series. The weather series fed into a semi-distributed hydrological model called SLURP to simulate the streamflows associated with other water resources for the condition of $2CO_2$. This approach is applied to the Yongdam dam basin in southern part of Korea. The results show that under the condition of $2CO_2$, about 7.6％ of annual mean streamflow is reduced when it is compared with the observed one. And while Seasonal streamflows in the winter and autumn are increased, a streamflow in the summer is decreased. However, the seasonality of the simulated series is similar to the observed pattern.

• Journal of Korea Water Resources Association
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• v.40 no.8
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• pp.617-628
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• 2007

The purpose of this paper is to prepare snowmelt parameters using RS and GIS and to assess the snowmelt impact in SLURP (Semi-distributed Land Use-based Runoff Process) model for Chungju-Dam watershed $(6,661.5km^2)$. Three sets of NOAA AVHRR images (1998-1999, 2000-2001, 2001-2002) were analyzed to prepare snow-related data of the model during winter period. Snow cover areas were extracted using 1, 3 and 4 channels, and the snow depth was spatially interpolated using snowfall data of ground meteorological stations. With the snowmelt parameters, DEM (Digital Elevation Model), land cover, NDVI (Normalized Difference Vegetation Index) and weather data, the model was calibrated for 3 years (1998, 2000, 2001), and verified for 1 year (1999) using the calibrated parameters. The average Nash-Sutcliffe efficiencies for 4 years (1998-2001) discharge comparison with and without snowmelt parameters were 0.76 and 0.73 for the full period, and 0.57 and 0.19 for the period of January to May. The results showed that the spatially prepared snow-related data reduced the calibration effort and enhanced the model results.