• 한국수자원학회논문집
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• 제34권1호
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• pp.81-90
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• 2001

동역학적 홍수빈도분석 모형은 미계측유역에서의 빈도분석을 위해 제안되었다. 본 연구에서는 이와 같은 동역학적 홍수빈도분석 모형을 평창강유역 내 총 6개 소유역에 적용하여 보았다. 보통 동역학적 홍수빈도분석 모형은 크게 강우 모형, 강우손실 모형, 그리고 유출 모형으로 이루어져 있으며 본 연구에서는 Rectangular Pulse 모형-SCS 유효유량 산정방법-지형 기후학적 순간단위도(GcIUH)방법으로 이루어진 동역학적 홍수빈도분석 모형을 이용하였다. 입력자료로 대상 유역의 L-moment법에 의한 통계학적 빈도분석 결과를 이용하였고 모형에의 적용결과 산정된 재현기간 값을 통계적 분석에 의한 재현기간과 비교하였다. 그 결과 전체적으로 동역학적 홍수빈도 분석의 결과가 크게 산정되고 있음을 알 수 있었으나 평창강유역의 관측자료 부족과 유역의 물리적 특성만으로 빈도분석이 수행될 수 있다는 점을 고려하면 동역학적 홍수빈도분석 모형이 미계측유역에서 소규모 수공구조물의 설계 홍수량 산정 시 대체방법으로 이용될 수 있음을 판단할 수 있었다. 또한 해상도의 영향 분석 결과 그다지 큰 영향을 주고 있지 않음을 확인할 수 있었으며 따라서 동역학적 홍수빈도분석 모형이 보다 보편적으로 이용 가능하다는 결론을 얻을 수 있었다.

• 한국산학기술학회논문지
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• 제17권4호
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• pp.726-733
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• 2016

최근 집중호우로 인한 홍수발생 빈도와 그 규모가 커지고 있다. 이러한 현상을 반영하여 많은 국가에서는 향후 발생가능한 홍수로 발생할 수 있는 피해에 대한 위험성에 대한 인식을 국민에게 제고할 수 있는 홍수위험지도가 제작되고 있다. 홍수위험지도는 다양한 홍수범람해석모형을 통해 작성되는 데 침수원인에 따라 외수범람해석모형과 내수범람해석모형으로 구분할 수 있다. 국내 외적으로 다양한 홍수범람해석모형이 사용되고 있지만 미육군공병단에서 개발된 HEC-RAS 모형을 제외한 대부분은 고가의 상용 프로그램으로써 그 사용성이 제한되어 있는 것이 사실이다. 이러한 상황에서 현재 미육군공병단에서는 기존 1차원 모형인 HEC-RAS 모형과 연계 가능한 2차원 모형을 개발 중에 있다. 이 모형은 HEC-RAS 5.0이라는 명칭으로 베타버전이 공개되었다. 본 연구에서는 곡교천을 대상으로 선공개된 HEC-RAS 5.0 모형 베타버전과 국내 홍수위험지도 작성 시 사용되는 FLUMEN 모형과의 비교를 통해 모형의 특징, 사용성, 적용성, 결과의 정확성 등을 평가하였다. 본 연구를 통해 얻은 결과는 향후 HEC-RAS 5.0 모형이 안정되어 서비스 되면 외수침수범람해석과 관련된 사업과 연구 등 다방면에 활용될 수 있을 것으로 판단된다.

• 물과 미래
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• 제27권1호
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• pp.89-99
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• 1994

현재까지 국내의 홍수예측업무는 과거에 수집된 자료집단을 이용한 변수추정에 의하여 시행되고 있으나, 최근 여러 가지 순환추정 알고리즘을 적용한 홍수예측 또는 변수추정에 관한 많은 연구가 이루어지고 있다. 본 논문은 실시간 홍수예측 및 변수추정에 관한 연구로서, 특히 강우-유출모형의 상태 및 매개변수의 동시추정에 관한 추계학적 현상을 고려하였다. 홍수예측에 관한 시스템은 $\phi$ 지수에 의한 유효강우의 산정과 지체효과를 고려한 n개의 비선형 저수지모형에 의한 홍수축적으로 구성하였다. 그리고 변수추정모형과 홍수추적 모형을 상호연계하여 변수를 포함하는 확대 상태-공간모형으로 상태 및 매개변수의 동시추정에 관한 시스템을 구성하였다. 상태-공간모형에 대한 상태 및 변수추정기법으로 GLS 추정과 MAP 추정에 대하여 비교 검토하였다. 모형의 식별을 위한 민감도 분석은 추정변수의 공분산 행렬을 사용하였다.

• 산업경영시스템학회지
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• 제37권1호
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• pp.91-95
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• 2014

During a flood season, Bo region could be easily exposed to flood due to increase of ground water level and the water drain difficulty even the water amount of Bo can be managed. GFI for the flood risk is measured by mean depth to water during a dry season and minimum depth to water and tangent degree during a flood season. In this paper, a forecasting model of the target variable, GFI and predictors as differences of height between ground water and Bo water, distances from water resource, and soil characteristics are obtained for the dry season of 2012 and the flood season of 2012 with empirical data of Gangjungbo and Hamanbo. Obtained forecasting model would be used for keep the value of GFI below the maximum allowance for no flooding during flooding seasons with controlling the values of significant predictors.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1427-1431
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• 2007

In this study, the new methodology which combines Kohonen self-organizing map(KSOM) neural networks model and the conventional neural networks models such as feedforward neural networks model and generalized neural networks model is introduced to forecast flood stage in Nakdong river, Republic of Korea. It is possible to train without output data in KSOM neural networks model. KSOM neural networks model is used to classify the input data before it combines with the conventional neural networks model. Four types of models such as SOM-FFNNM-BP, SOM-GRNNM-GA, FFNNM-BP, and GRNNM-GA are used to train and test performances respectively. From the statistical analysis for training and testing performances, SOM-GRNNM-GA shows the best results compared with the other models such as SOM-FFNNM-BP, FFNNM-BP, and GRNNM-GA and FFNNM-BP shows vice-versa. From this study, we can suggest the new methodology to forecast flood stage and construct flood warning system in river basin.

• 한국농공학회지
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• 제31권1호
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• pp.117-130
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• 1989

In this study, an implicit one-dimensional model, DWRM(Dynamic Wave Routing Model) was developed by using the four-point weighted difference method. By applying the developed model to the Keum River, the parameters were calibrated and the model applicability was tested through the comparison between observed and computed water levels. In addition, the effects of the construction of an estuary dam to the flood wave were estimated as a result of the model application. The results of the study can be summarized as follows; 1. The roughness coefficients were evaluated by comparison between observed and computed water level at Jindu, Gyuam and Ganggyeung station in 1985. The Root Mean Squares for water level differences between observed and computed values were 0.10, 0.11, 0. 29m and the differences of peak flood levels were 0.07, 0.02, 0. 07m at each station. Since the evaluated roughness coefficients were within the range of 0.029-0.041 showing the realistic value for the general condition of rivers, it can be concluded that the calibration has been completed. 2. By the application of model using the calibrated roughness coefficients, the R. M. S. for water level differences were 0.16, 0.24, 0. 24m and the differences of peak flood level were 0.17, 0.13,0.08 m at each station. The arrival time of peak flood at each station and the stage-discharge relationship at Gongju station agreed well with the observed values. Therefore, it was concluded that the model could be applied to the Keum River. 3. The model was applied under conditions before and after the construction of the estuary dam. The 50-year frequency flood which had 7, 800m$^3$/sec of peak flood was used as the upstream condition, and the spring tide and the neap tide were used as the downstream condition. As the results of the application, no change of the peak flood level was showed in the upper reaches of 19.2km upstream from the estuary dam. For areas near 9.6km upstream from the estuary dam, the change of the peak flood level under the condition before and after the construction was 0. 2m. However considering the assumptions for the boundary conditions of downstream, the change of peak flood level would be decreased.

• 한국습지학회지
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• 제16권1호
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• pp.93-102
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• 2014

2000년대 후반 이래로 홍수터를 활용한 생태공원이나 체육시설 등과 같은 다양한 친수시설들이 조성되었다. 또한 최근 강우강도 및 홍수 빈도의 증가로 인해 관련 피해가 급증하고 있으며, 이는 홍수터에 설치된 공원과 같은 친수시설들의 침수피해와 직접적으로 연관되므로, 극한강우 시 홍수터에서의 수치해석이 필요하다고 판단된다. 본 연구에서는 홍수터에서의 수위상승과 하강에 따른 수리학적 영향을 분석하기 위해 마름/젖음 모의가 가능한 준부정류 흐름해석모형인 FaSTMECH와 부정류 흐름해석모형인 Nays2D 모형을 이용하여 각 모델간의 태풍 사상시 시간에 따른 침수심 및 유속분포를 비교 분석하였다. 태풍 사상시 홍수터에서의 유속분포는 주수로에서의 유속에 비해 매우 낮은 유속을 보이고 있었으며, 홍수터에서는 침식보다는 토사퇴적 문제가 더 높을 것이라 판단된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.884-887
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• 2006

This paper focuses on minimizing flood damage in the Yeongdeok basin of South Korea by establishing a flood prediction model based on a geographic information system (GIS), remote sensing, and geomorphoclimatic instantaneous unit hydrograph (GcIUH) techniques. The GIS database for flash flood prediction was created using data from digital elevation models (DEMs), soil maps, and Landsat satellite imagery. Flood prediction was based on the peak discharge calculated at the sub-basin scale using hydrogeomorphologic techniques and the threshold runoff value. Using the developed flash flood prediction model, rainfall conditions with the potential to cause flooding were determined based on the cumulative rainfall for 20 minutes, considering rainfall duration, peak discharge, and flooding in the Yeongdeok basin.

• 한국농공학회지
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• 제32권4호
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• pp.81-88
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• 1990

The flow in a river reach where is influenced by tidal motion is characterized by unsteady flow. The flood analysis in the river reach needs depending upon the theory based on the complete unsteady flow equations. In this study the unsteady flow model which is called CRIUM (Channel Routing by Implicit Unsteady Flow Model) was developed and was applied to the Mankyong and Dongjin river in order to analyze the flood characteristics. The results, which were calibrated and verified by the flood records to be measured in the two rivers, show that unsteady flow mode] can be used for the derivation of the flood hydrograph. The peak flood discharges were estimated as 4,960 and $2,870m^3$/sec in 100 year frequency at the estuary of the Mankyong and Dongjin river, respectively. In addition, it was analyzed that the river reaches were not influenced by tidal motion when the discharge magnitude was larger than approximately $3,000m^3$/sec.

• 농업과학연구
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• 제48권3호
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• pp.515-526
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• 2021

The frequency of typhoons and torrential rainfalls has increased due to climate change, and the concurrent risk of breakage of dams and reservoirs has increased due to structural aging. To cope with the risk of dam breakage, a more accurate emergency action plan (EAP) must be established, and more advanced technology must be developed for the prediction of flooding. Hence, the present study proposes a method for establishing a more effective EAP by performing flood and inundation analyses using one- and two-dimensional models. The probable maximum flood (PMF) under the condition of probable maximum precipitation (PMP) was calculated for the target area, namely the Gyeong-cheon reservoir watershed. The breakage scenario of the Gyeong-cheon reservoir was then built up, and breakage simulations were conducted using the dam-break flood forecasting (DAMBRK) model. The results of the outflow analysis at the main locations were used as the basis for the one-dimensional (1D) and two-dimensional (2D) flood inundation analyses using the watershed modeling system (WMS) and the FLUvial Modeling ENgine (FLUMEN), respectively. The maximum inundation area between the Daehari-cheon confluence and the Naeseong-cheon location was compared for each model. The 1D flood inundation analysis gave an area of 21.3 km², and the 2D flood inundation analysis gave an area of 21.9 km². Although these results indicate an insignificant difference of 0.6 km² in the inundation area between the two models, it should be noted that one of the main locations (namely, the Yonggung-myeon Administrative and Welfare Center) was not inundated in the 1D (WMS) model but inundated in the 2D (FLUMEN) model.