• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1078-1083
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• 2009

HEC-HMS(Hydrologic Modeling System)은 강우-유출 모의를 위한 차세대 소프트웨어이며 HEC-1에 포함되어 있는 단위도 및 수문학적 홍수추적 이외에도 격자형 강우자료(레이더 데이터)를 이용하여 적용할 수있는 유사분포 유출변화와 장기 연속모의에 적용할 수 있는 간단한 수분감소 등을 추가적으로 포함하고 있다. 또한 GUI(Graphical User Interface)환경, 통합 수문분석 성분, 자료 저장 및 관리 능력, 그래�d 처리 및리포트 출력기능으로 구성되어 있으며 여러 가지 프로그램 언어(C, C++, Fortran)를 이용하여 개발되었다. 본 연구에서는 낙동강 수계의 금호강에 위치한 동촌 지점을 유출구로 선정하고 5개의 소유역과 두 개의 하도로 구성하여 유출모의를 실시하였으며 수문자료 선정은 2007년$^{\sim}$2008년에 발생한 홍수사상과 유량조사 사업단에서 개발한 수위-유량관계곡선식을 활용하였다. 또한, HEC-GeoHMS 모형을 GIS와 연계하여 지형인자를 추출하고 추출된 지형인자를 이용하여 매개변수를 산정하였다. HEC-HMS 모형의 계산 조건에서 손실 우량은 SCS CN, 유출변환은 Clark 단위도법을 적용하였다. 또한 관측치와 계산치의 적합도 검증은 평균제곱 근오차(root mean squar error; RMSE)와 모형 효율성 계수(model efficiency; ME)를 산정하여 분석하였다

• KSCE Journal of Civil and Environmental Engineering Research
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• v.14 no.6
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• pp.1453-1463
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• 1994

The SCS Curve Number(CN) method has become widely accepted as a procedure of estimating stormflow volumes for design and natural events in small watersheds. The applicability of this method for calculating the flushing time was evaluated as compared with the net volume transport(NVT) method in Masan Bay, Korea. It is shown that the flushing time using the CN method ranged from 10.9 to 15.3 days under the well mixed condition, that the time using the NVT method was 13.9 days averaged over 6 days of field data. These results were revealed that two methods calculated the approximate times as shown above. The relationships between the run-off, Qr, and the flushing time, t, are expressed as the following forms. $t_1=228.79Q_r^{-0.9996}$ in case of well mixed condition, (1) $t_2=131.06Q_r^{-1.0}$ in case of two layered model. (2) Those empirical expressions are represented that the relationships between Q and t are nonlinear as those as Bumpus obtained in Boston Inner Harbour. Therefore, the CN method will permit calculation of the flushing time for any given bay to be unexpected as water balance under the condition of short-time (0.5 day) data, instead of NVT method based on the long-time (at least 3 days over) data.

• Korean Journal of Remote Sensing
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• v.30 no.5
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• pp.587-596
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• 2014

Soil moisture is one of the most important interests in hydrological response and the interaction between the land surface and atmosphere. Estimation of Antecedent Wetness Conditions (AWC) which is soil moisture condition prior to a rainfall in the basin should be considered for rainfall-runoff prediction. In this study, Soil Wetness Index (SWI), Antecedent Precipitation Index ($API_5$), remotely sensed Soil Moisture ($SM_{rs}$), and 5 days ground Soil Moisture ($SM_{g5}$) were selected to estimate the AWC at four study area in the Korean Peninsula. The remotely sensed soil moisture data were taken from the AMSR-E soil moisture archive. The maximum potential retention ($S_{obs}$) was obtained from direct runoff and rainfall using Soil Conservation Service-Curve Number (SCS-CN) method by rainfall data of 2011 for each study area. Results showed the great correlations between the maximum potential retention and SWI with a mean correlation coefficient which is equal to -0.73. The results of time length representing the time scale of soil moisture showed a gap from region to region. It was due to the differences of soil types and the characteristics of study area. Since the remotely sensed soil moisture has been proved as reasonable hydrological variables to predict a wetness in the basin, it should be continuously monitored.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.85-95
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• 2020

According to the standard guidelines of design flood (MLTM, 2012; MOE, 2019), the design flood is calculated based on past precipitation. However, due to climate change, the frequency of extreme rainfall events is increasing. Therefore, it is necessary to analyze future floods' volume by using climate change scenarios. Meanwhile, the standard guideline was revised by MOE (Ministry of Environment) recently. MOE proposed modified Huff distribution and new CN (Curve Number) value of forest and paddy. The objective of this study was to analyze the change of flood volume by applying the modified Huff and newly proposed CN to the probabilistic precipitation based on SSP and RCP scenarios. The probabilistic rainfall under climate change was calculated through RCP 4.5/8.5 scenarios and SSP 245/585 scenarios. HEC-HMS (Hydrologic Engineering Center - Hydrologic Modeling System) was simulated for evaluating the flood volume. When RCP 4.5/8.5 scenario was changed to SSP 245/585 scenario, the average flood volume increased by 627 ㎥/s (15%) and 523 ㎥/s (13%), respectively. By the modified Huff distribution, the flood volume increased by 139 ㎥/s (3.76%) on a 200-yr frequency and 171 ㎥/s (4.05%) on a 500-yr frequency. The newly proposed CN made the future flood value increase by 9.5 ㎥/s (0.30%) on a 200-yr frequency and 8.5 ㎥/s (0.25%) on a 500-yr frequency. The selection of climate change scenario was the biggest factor that made the flood volume to transform. Also, the impact of change in Huff was larger than that of CN about 13-16 times.

• Journal of Korea Water Resources Association
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• v.51 no.12
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• pp.1261-1271
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• 2018

This study evaluates the applicability of the classification rule of hydrological soil group proposed by Lee et al. (2018) with its application to three river basins (Jungmuncheon, Cheonmicheon, and Hancheon) in Jeju Island. The CN values are estimated as results of this application to these three basins, which is then compared with those estimated by applying the conventional three methods. Additionally, previous studies related with the classification of soil groups of Jesu Island, such as the infiltration and rainfall-runoff analysis, are reviewed to evaluate how the resulting hydrological soil groups vary depending on the adopted classification method.. Summarizing the results is as follows. (1) Comparison result of the hydrological soil groups of Jeju Island with respect to the classification method shows that the soil group B is dominant in the application of Lee et al. (2018). However, it is hydrological soil groups C and D in the application of Hu and Jung (1987), hydrological soil groups A and C in the application of Jung et al. (1995), and hydrological soil group D in the application of RDA (2007). (2) In all the applications of Lee et al. (2018) to three selected river basins in Jeju Island, the CN valuse are found to be smaller than those by other conventional three methods.. Lastly, (3) The evaluation results of previous studies related with the classification of hydrological soil groups analysis in Jeju Island shows that the CN value in the Jeju Island may be smaller than those estimated by conventional three methods, also the initial loss higher than 0.2S.

• Journal of the Korean Society of Hazard Mitigation
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• v.7 no.4
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• pp.67-74
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• 2007

Rational method has been widely used to calculate peak runoff drainage design or small watershed because of simplicity and convenience. Runoff coefficient(C) is the most important parameter in the rational method which varies according to rainfall intensity, return period, rainfall duration time and soil characteristics. In practice, constant which is value of C in rational formula has been used from the table, originally based on ASCE. These table value does not consider the upper conditions of the depending factors, hence peak runoff calculation could be in correct. Therefore to calculate C in this paper we have devised an improved formula, considering relationship with rainfall duration, return period and CN of NRCS method. This formula is considered to be more reliable and helpful to the hydrologists and engineers to predict correct peak runoff.

• Korean Journal of Remote Sensing
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• v.23 no.1
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• pp.15-20
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• 2007

This study is to apply QuickBird satellite image for the simulation of storm runoff in a small rural watershed. For a $1.05km^2$ watershed located in Goesan-Gun of Chungbuk Province, the land use from the QuickBird image was produced by on-screening digitising after ortho-rectifying using 2 m DEM. For 3 cases of land use, soil and elevation scale (1:5,000, 1:25,000 and 1:50,000), SCS-CN and the watershed physical parameters were prepared for the storm runoff model, HEC-HMS (Hydrologic Modelling System). The model was evaluated for each case and compared the simulated results with couple of selected storm events.

• Journal of Korean Society on Water Environment
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• v.25 no.3
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• pp.375-385
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• 2009

The estimation of delivery ratio is a essential part of Korean Total Maximum Daily Loads (TMDL) procedure which needs a number of observed stream flow and pollutants data. If observed data were not sufficient, researchers have to find other alternatives. One of them is to make indirect data by using watershed models, such as Soil and Water Assessment Tool (SWAT) and Hydrological Simulation Program - FORTRAN (HSPF) and so on. In this study, indirect daily data was made by using SWAT model. To build the Byongseong-SWAT model accurately, crop cultures are reflected by handling the MGT.file in SWAT model. Especially, mass of manure and schedule of crop culture are inputted through investigating domestic research papers as well as fieldwork. After calibrating SWAT model in comparison with the 22-years flow and pollutants observed outlet data, the delivery ratio of Byongseong watershed is calculated by using daily simulated data during 2004-2007. Empirical equations for delivery ratio through multi-regression analysis are developed by using meteorological and physical factors such as flow, watershed area, stream length, catchment slope, curve number (CN) and subbasin's pollutant discharge loads.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.553-557
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• 2005

유역의 강우-유출 분석에서 유효우량의 산정은 매우 중요하다고 할 수 있다. 이러한 유효우량의 산정에서 대상호우에 대한 유출량 자료가 있는 경우는 침투지수법(infiltration index method)중 하나인 $\Phi$-지표법이나 W-지표법을 사용하여 그 양을 산정할 수 있다. 그러나 대상호우에 대한 유출량 자료가 없는 경우는 침투지수법을 이용하여 유효우량을 산정 할 수 없으며, 이러한 경우 유역의 토양 특성과 식생피복 상태에 대한 자료만으로 총우량으로부터 유효우량을 산정할 수 있는 NRCS(Natural Resources Conservation Service)의 유효우량 산정방법이 널리 사용되고 있다. NRCS유효우량 산정 방법은 선행토양함수조건(antecedent moisture condition, AMC)을 이 용하여 유출곡선지수(runoff curve number, CN)를 결정하는데, 이때 AMC의 산정을 위해 선행5일강우량(total 5-day antecedent rainfall)을 그 기준으로 하고 있으나, 이는 미국의 유역을 대상으로 하여 얻어진 결과이므로 이를 국내 유역에 검증 없이 적용하는 데에는 문제가 있을 것으로 예상되었다. 따라서 본 연구에서는 HEC-HMS모형을 이용하여 선행강우일수을 변화시켜 가면서 실제 유역의 강우-유출에 적용하여 본 뒤 강우-유출을 가장 잘 모의하는 선행강우일수을 결정하였다. 이를 위해, IHP 대상유역인 보청천의 탄부소유역에 대하여 AMC의 산정을 위한 선행강우량을 1일부터 7일까지 변화시키며 적용한 결과 탄부소유역에서는 선행2일강우량이 가장 적합한 결과를 주는 것으로 나타났다. 국내 유역에서 NRCS유효유량 산정방법을 통한 강우-유출모의시 보다 정확한 값을 산정하기 위해서는 대상유역에 적합한 선행 강우일수의 결정이 중요하리라 판단된다.인 분석을 수행하고, 배수갑문 개방에 의한 수질개선효과를 최대화하기 위한 환경관리 방안 제시에 중점을 두어 수행하였다.ncy), 환경성(environmental feasibility) 등을 정성적으로(qualitatively) 파악하여 실현가능한 대안을 선정하였다. 이렇게 선정된 대안들은 중유역별로 검토하여 효과가 있을 것으로 판단되는 대안들을 제시하는 예비타당성(Prefeasibility) 계획을 수립하였다. 이렇게 제시된 계획은 향후 과학적인 분석(세부평가방법)을 통해 대안을 평가하고 구체적인 타당성(feasibility) 계획을 수립하는데 토대가 될 것이다.{0.11R(mm)}(r^2=0.69)$로 나타났다. 이는 토양의 투수특성에 따라 강우량 증가에 비례하여 점증하는 침투수와 구분되는 현상이었다. 경사와 토양이 같은 조건에서 나지의 경우 역시 $Ro_{B10}(mm)=20.3e^{0.08R(mm)(r^2=0.84)$로 지수적으로 증가하는 경향을 나타내었다. 유거수량은 토성별로 양토를 1.0으로 기준할 때 사양토가 0.86으로 가장 작았고, 식양토 1.09, 식토 1.15로 평가되어 침투수에 비해 토성별 차이가 크게 나타났다. 이는 토성이 세립질일 수록 유거수의 저항이 작기 때문으로 생각된다. 경사에 따라서는 경사도가 증가할수록 증가하였으며 $10\% 경사일 때를 기준으로 $Ro(mm)=Ro_{10}{\times}0.797{\times}e^{-0.021s(\%)}$로 나타났다.천성 승모판 폐쇄 부전등을 초래하는 심각한 선천성 심질환이다. 그러나 진단 즉시 직접 좌관상동맥-대동맥 이식술로 수술적 교정을 해줌으로써 좋은 성적을 기대할 수 있음을 보여주었다.특히 교사들이 중요하게 인식하는 해방적 행동에 대한 목표를 강조하여 적용할 필요가 있음을 시사하고

• Korean Journal of Environmental Agriculture
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• v.20 no.3
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• pp.192-200
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• 2001

The event-based agricultural non-point source(AGNPS) pollution model was applied to estimate the loads of nitrogen and phosphorus in a stream draining small agricultural watersheds. Calibration and verification of the model were performed using observed data collected from rainfall events in the Imgo watersheds during 1997-1998. Parameter calibrations were made for the runoff curve number. The peak flow volumes in the watersheds were well reproduced by the modified model. Average deviation between observed and simulated values was 10%, and this match was confirmed by the coefficient of efficiency value of 0.97. The deviations tended to increase as the peak flows increased. The simulated total N concentrations in the stream water were fairly close to the measured values, and the coefficient of efficiency in the estimation was 0.93. However, there were relatively large variations between calculated and observed values of total P concentration, and the coefficient of efficiency in the estimation was 0.74. Any inaccuracies that arise in estimating runoff flow and nutrient loading can not be explained exactly and further adjustment and refinements may be needed for application of AGNPS in agricultural watersheds. With this restrictions in mind, it can be concluded that AGNPS can provide realistic estimates of nonpoint source nutrient yields.