• 한국해양공학회지
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• 제14권3호
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• pp.55-60
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• 2000

This paper is descried the experimental results of beach process including storm surge and beach recovery. By testing different surge levels and durations, effects of these to shoreline change were evaluated. In addition of beach recovery were investigated experimentally. On the other hand, we proposed the method, which can be applicable to complex hydrograph such as storm surge by modifying equation proposed by Kriebel and Dean. Moreover, applicability of this method is verified by comparing computing result with experiments.

• 물과 미래
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• 제25권4호
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• pp.97-107
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• 1992

본 연구의 목적은 강우에 따른 하천에서의 직접유출에 대한 해석을 위하여 Horton과 Strahler의 하천분석 및 차수의 법칙에 따라 지형도로부터 얻은 지형학적 자료와 토양, 수리, 및 기후학적 자료를 가지고 Interactive Program을 사용하여 미계측소유역의 유출량과 단위도를 산정하는 것이다. 이 모델은 각 지점의 유하시간을 Laplace 변환과 확률밀도함수의 집적된 겨로가로 이용되었다. 이 Program을 이요하여 금강수계내의 보청천 대표유역내의 최상류지점인 산성지점에 대하여 직접유출량과 Peak 시간에 있어서 홍수량을 산정하였다.

• 대한지하수환경학회지
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• 제3권1호
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• pp.15-20
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• 1996

지하수법에 용어는 명시되어 있지만 정의되지 않은 지하수 부존량 및 개발가능량을 수문학적 기반에 의하여 실무적으로 쉽게 사용할 수 있도록 그 개념을 명확히 정의하였다. 또한 기존의 지하수 함양량 추정기법들의 비교 분석을 통하여 물리적 의미를 가진 단순한 방법으로 지하수 개발가능량을 산정하는 방법을 제시하였다. 그것은 갈수기간과 지하수 함양기간에서 수문곡선으로부터 지하수유출 곡선의 분리에 기초한 방법으로, 수문곡선 분석시 제시된 기법을 일관성 있게 적용할 수 있다.

• 물과 미래
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• 제12권2호
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• pp.56-62
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• 1979

강우자료로부터 설계 홍수량을 추정하는 많은 방법들은 설계강우량의 지속기간 결정에 매우 복잡한 시행 착오법을 사용하고 있으나, 본 연구에서는 순간단위유량도 이론을 적용한 해석적 방법에 의하여 근사 지속기간을 결정하는 방법을 이론적으로 전개하였다. 이렇게 유도된 방법을 무심천 대표유역에 적용하여 교점유량비곡선(hydrograph curve)과 재현기간별로 설계강우곡선(rainfall curve)을 계산하고, 그 결과를 동일 좌표상에 그려 그 교점이 표시하는 유효우량 지속기간을 결정하였다.

• 물과 미래
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• 제24권1호
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• pp.93-97
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• 1991

소규모유역에서 수공구조물의 설계를 위하여는 첨두홍수량을 알아야 하며, 첨두홍수량을 계산하기 위하여는 단순 첨두홍수량 산정공식을 이용하거나 유출모의모형등을 이용하게된다. 이때에 해당 유역에 적용될 설계강우의 결정이 필요하며, 설계 강우분포형으로는 등분포 강우, 삼각형분포 강우, 사다리꼴분포 강우와 Huff분포형 강우등의 단순강우분포형이 고려된다. 본 연구에서는 이들 설계 강우분포형에 따라 변화하는 첨두홍수량을 비교 분석하고자 한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1454-1458
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• 2007

The determination of feasible design flood is the most important to control flood damage in river management. Model parameters should be calibrated using observed discharge but due to deficiency of observed data the parameters have been adopted by engineer's empirical sense. Storage constant in the Clark unit hydrograph method mainly affects magnitude of peak flood. This study is to estimate the storage constant based on the observed rainfall-runoff data at the three stage stations in the Imjin river basin and the three stage stations in the Ansung river basin. In this study four methods have been proposed to estimate the storage constant from observed rainfall-runoff data. The HEC-HMS model has been adopted to execute the sensitivity of storage constant. A criteria has been proposed to determine storage constant based on the results of the observed hydrograph and the HEC-HMS model.

• 한국농공학회논문집
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• 제49권4호
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• pp.23-31
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• 2007

The objective of the study is to prepare input data for FIA (Flood Inundation Analysis) & FDA (Flood Damage Assessment) through rainfall-runoff simulation by HEC-HMS model. For HwaOng watershed (235.6 $km^{2}$), HEC-HMS was calibrated using 6 storm events. Geospatial data processors, HEC-GeoHMS is used for HEC-HMS basin input data. The parameters of rainfall loss rate and unit hydrograph are optimized from the observed data. HEC-HMS was applied to simulate rainfall-runoff relation to frequency storm at the HwaOng watershed. The results will be used for mitigating and predicting the flood damage after river routing and inundation propagation analysis through various flood scenarios.

• 한국농공학회논문집
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• 제47권6호
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• pp.3-14
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• 2005

Accurate estimation of the spatial distribution of rainfall is critical to the successful modeling of hydrologic processes. The objective of this study is to evaluate the applicability of spatially distributed rainfall data. Spatially distributed rainfall was calculated using Kriging method and Thiessen method. The application of spatially distributed rainfall was appreciated to the runoff response from the watershed. The results showed that for each method the coefficient of determination for observed hydrograph was $0.92\~0.95$ and root mean square error was $9.78\~10.89$ CMS. Ordinary Kriging method showed more exact results than Simple Kriging, Universal Kriging and Thiessen method, based on comparison of observed and simulated hydrograph. The coefncient of determination for the observed peak flow was 0.9991 and runoff volume was 0.9982. The accuracy of rainfall-runoff prediction depends on the extent of spatial rainfall variability.

• 한국환경보건학회지
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• 제22권4호
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• pp.33-42
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• 1996

This research is to show the application of runoff model and runoff analysis of urban storm drainage network. the runoff models that were used for this research were RRL, ILLUDAS, and SWMM applicative object basin were Geucknak-chun and Sangmu drainage basin located in Seo-Gu, Kwangju. The runoff analysis employed the design storm that distributed the rainfall intensity according to the return period after the huff's method. The result from the comparative analysis of the three runoff models was as follows The difference of peak runoff by return period was 20-30% at Sangmu drainage area of $3.17 Km^2$, while less than 10% at Geucknak-chun drainage area of $12.7 Km^2$. The peak runoff were similar to all models. At the runoff hydrograph the times between rising and descending points were in the sequence of RRL, ILLUDAS and SWMM, but the peak times were similar to all models. The conveyance coefficient to examine the conveyance of the existing drainage network was 0.94-1.37, which means insecure, in Geucknak-chun drainage basin and 0.69-1.16, which means secure, in sangmu drainage basin.

• 한국환경과학회지
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• 제2권1호
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• pp.29-36
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• 1993

An instantaneous unit sediment graph (IUSG) model is investigated for prediction of sediment yield from an upland watershed In Northwestern Mississippi. Sediment yields are predicted by convolving source runoff with an IUSG. The IUSG is the distribution of sediment from an instantaneous burst of rainfall producing one unit of runoff. The IUSG, defined as a product of the sediment concentration distribution (SCD) and the instantaneous unit hydrograph (IUH), is known to depend on the characteristics of the effective rainfall. The IUH is derived by the Nash model for each event. The SCD is assumed to be an exponential function for each event and its parameters were correlated with the effective rainfall characteristics. A sediment routing function, based on travel time and sediment particle size, is used to predict the SCD.