• 한국지능시스템학회논문지
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• 제15권4호
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• pp.437-442
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• 2005

하천에서의 홍수유출 예측은 하천의 치수적인 측면에서도 중요하다. 본 논문에서는 신경회로망 모형을 이용해서 개발된 홍수유출 예측 시스템의 적용성을 검토하였다. 입력층에는 강우자료와 홍수량 자료를 출력층에는 홍수유출량이 예측되도록 구성하였다. 홍수유출 예측 시스템 구성시 예측모형 선정을 위해 신경회로망 모형과 상태공간 모형을 이용하여 홍수시 실시간 하천유출량 예측을 수행하였다. 두 모형의 예측결과 비교시 신경회로망 모형이 실시간 홍수량 예측에 적합한 모형으로 선정되었다. 신경회로망 모형은 Web 상에서 사용이 가능하게 변환하여 홍수유출 예측시스템의 기본모형으로 개발하였다.

• 한국환경과학회지
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• 제24권4호
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• pp.403-414
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• 2015

This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.

• 한국농공학회논문집
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• 제47권3호
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• pp.3-13
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• 2005

The conceptual rainfall-runoff models are used to predict complex hydrological effects of a basin. However, to obtain reliable results, there are some difficulties and problems in choosing optimum model, calibrating, and verifying the chosen model suitable for hydrological characteristics of the basin. In this study, Genetic Algorithm and SCE-UA method as global optimization methods were applied to compare the each optimization technique and to analyze the application for the rainfall-runoff models. Modified TANK model that is used to calculate outflow for watershed management and reservoir operation etc. was optimized as a long term rainfall-runoff model. And storage-function model that is used to predict real-time flood using historical data was optimized as a short term rainfall-runoff model. The optimized models were applied to simulate runoff on Pyeongchang-river watershed and Bocheong-stream watershed in 2001 and 2002. In the historical data study, the Genetic Algorithm and the SCE-UA method showed consistently good results considering statistical values compared with observed data.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2000년도 학술발표회 발표논문집
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• pp.72-77
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• 2000

The purpose of this study were to monitor rainfall and runoff data from paddy blocks and forest areas at the Balan Experimental Watershed, and to investigate the variations of runoff characteristics with different land use. Field data showed that the total runoff from paddies and forest areas are not significantly different in volume. The peak discharge from forest areas was less than that from paddies for lighter storms, but became greater for heavier storms. The results demonstrate that paddies play an important role to reduce peak discharge from heavy storms as compared to forest.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2000년도 학술발표회 발표논문집
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• pp.126-131
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• 2000

This paper presents a framework for developing an object-oriented system for runoff analysis. The objects include rainfall, meterorologic, watershed, reservoir, stream, DB management, and GUI. Data and method of each object were analyzed and defined. The database for runoff analysis were designed and DBMS MS-Access was chosen. The system design features and implementation are described, and an graphic user interface for flood runoff is presented

• 한국농공학회지
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• 제45권6호
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• pp.119-127
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• 2003

This paper documents recent efforts to validate the GIS-based hydrologic models, HEC-HMS and HEC-GeoHMS by the US Army Corps of Engineers. HMS and Geo-HMS were used to simulate storm runoff from a small rural watershed, the Balan HS#6. The watershed is 3.85 $\textrm{km}^2$ in size. The watershed topographic, soils, and land use data were processed using the GIS tool fur the models. Input parameters were retrieved and calibrated with the field data. The simulated peak runoff, time to peak, and total direct runoff fer twenty three storms were compared with the observed data. The results showed that the coefficient of determination($R^2$) for the observed peak runoff was 0.95 and an error, RMSE, 3.08 $\textrm{m}^3$/s for calibration stages. In the model verifications, $R^2$ was 0.89 and RMSE 6.79 $\textrm{m}^3$/s, which were slightly less accurate than the calibrated data. The simulated flood hydrographs were well compared to the observed. It was concluded that HMS and GeoHMS are applicable to flood analyses for rural watersheds.

• 한국농공학회논문집
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• 제47권3호
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• pp.59-68
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• 2005

The rainfall-runoff potential of Jangseong reservoir watershed was studied based on SCS (Soil Conservation Service, which is now the NRCS, Natural Resources Conservation Service, USDA) runoff curve number (CN) technique. Precipitation and reservoir operation data had been collected. The rainfall-runoff pairs from the watershed for ten years was estimated using reservoir water balance analysis using reservoir operation records. The maximum retention, S, for each storm event from rainfall-runoff pair was estimated for selected storm events. The estimated S values were arranged in descending order, then its probability distribution was determined as log-normal distribution, and associated CNs were found about probability levels of Pr=0.1, 0.5, and 0.9, respectively. A subwatershed that has the similar portions of land use categories to the whole watershed of Jangseong reservoir was selected and hydrologic monitoring was conducted. CNs for subwatershed were determined using observed data. CNs determined from observed rainfall-runoff data and reservoir water balance analysis were compared to the suggested CNs by the method of SCS-NEH4. The $CN_{II}$ measured and estimated from water balance analysis in this study were 78.0 and 78.1, respectively. However, the $CN_{II}$, which was determined based on hydrologic soil group, land use, was 67.2 indicating that actual runoff potential of Jangseong reservoir watershed is higher than that evaluated by SCS-NEH4 method. The results showed that watershed runoff potential for large scale agricultural reservoirs needs to be examined for efficient management of water resources and flood prevention.

• 한국농공학회지
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• 제39권2호
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• pp.134-142
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• 1997

This study was performed to evaluate the drain runoff characteristics from one paddy field, and to provide the basic data required for the determination of flood discharge and unit drainage water for drainage improvement and farmland consolidation. For this purpose, under the assumption that drain discharge from paddy field was similar to outflow of reservoir, runoff model based on storage equation was applied to the experimental field, and simulated results were compared to the measured discharge at weir point. To estimate effective storage volume of paddy field with water depth, 4 regression formula were examined such as linear, exponential, power, and combined. From the observed runoff characteristics, it was shown to be 3.3~16.3${\ell}$/sec in weir discharge, 57.2~98% in runoff ratio, and relative error of simulated result was 3.0~39.4%, 8.5 ~56.0 % for peak flow and runoff ratio, respectively. Curve number by SCS method was calculated as mean value of 96.4 using measured rainfall and runoff data, it was considered relatively high because paddy field has generally flooding depth contrary to the upland watershed area.

• 한국습지학회지
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• 제20권1호
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• pp.94-104
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• 2018

강우-유출 모의를 수행할 때 기상 및 강우관측소의 자료를 이용하는 것이 일반적이다. 그러나 유역면적이 클 경우 기상 및 강우관측소의 자료만으로 신뢰성 있는 유출량을 산정하기란 어렵다. 따라서 본 연구에서는 이용되는 강우자료에 따라 준분포형 모형에 의해 산정되는 유출량에 미치는 영향을 검토하기 위해 대상유역에 위치하고 있는 기상관측소의 강우자료, 기상 및 강우관측소의 강우자료, 크리깅 기법에 의해 기상 및 강우관측소의 강우자료를 공간적으로 분포시켜 얻은 가상지점의 관측 강우자료를 이용해 각 소유역의 면적 강우량을 산정하였다. 또한 각각의 강우자료들을 비교하였으며, 분포형 모형인 SWAT모형을 이용하여 각각의 강우자료에 따른 유출량을 비교 분석하였다. 본 연구는 공간 분포된 면적강우량을 이용해 산정된 유출량의 정확성을 검토하기 위한 것으로써 분석 결과, 공간 분포된 면적 강우량을 이용한 유출량이 기상 및 강우관측소의 강우량을 이용한 유출량보다 실제 유출량을 보다 더 잘 모의하는 것으로 나타났다. 이는 공간 분포된 강우가 실제 강우패턴을 가장 잘 반영한다고 할 수 있다.

• 한국수자원학회논문집
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• 제37권9호
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• pp.771-780
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• 2004

본 논문에서는 신경망 모형을 이용해서 개발된 홍수유출 예측 시스템의 적용성을 검토하였다. 홍수유출 예측을 위한 신경망 모형을 공주, 부여지점에 적용하였으며, 신경망 모형을 입력층, 은닉층, 출력층으로 구성하였다. 입력층에는 강우자료와 홍수량 자료를 출력층에는 홍수유출량이 예측되도록 구성하였다. 홍수유출 예측 시스템 구성시 예측모형 선정을 위해 신경망 모형과 상태공간 모형을 이용하여 홍수시 실시간 하천유출량 예측을 수행하였다. 두 모형의 예측결과 비교시 신경망 모형이 실시간 홍수량 예측에 적합한 모형으로 선정되었다. 신경망 모형은 Web 상에서 사용이 가능하게 변환하여 홍수유출 예측시스템의 기본모형으로 개발되었다. Web 기반 모형으로 개발된 신경망 모형을 서버에 탑재하고 금강수계의 본류와 주요 지점에 적용하여 Web 상에서 개발된 모형의 적용성을 검증하였다.