• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.389-393
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• 2010

The Objective of this study was to develop a system for visualizing inundation area by using 1-D numerical model analyzing damage information such as inundation area, facilities, land usages, population, building, loads. In this study, we have reviewed hydraulic models to select a flood model for simulation of discharges, water depths and velocities. The study area is Namhan River from Youngwol to Paldang Dam which had a flood damage on upper and below regions of Chungju Dam by a storm event in 2006. At the first, we developed the DB system base on GIS thematic map, ortho images, cadastral maps to analyze flood damages and support decisions making. Changing the boundary conditions such as discharge at the gauging stations, flood simulations were performed and then damages were extracted from the databases information support system based on 1-D numerical hydraulic model, it is expected to be able to analyze flood damages and support a decision making for reduce flood relate damages. In the future, the system developed in this study could be applied for flood forecasting system of small scaled streams.

• 한국항행학회논문지
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• 제27권4호
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• pp.488-494
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• 2023

본 논문에서는 2차원 침수해석 모형인 G2D를 이용하여 모의 도메인을 구성하고, 전주시 전역을 대상으로 시나리오 기반 도시 침수예측을 수행하였다. 도메인 구성과 격자별 조도계수 설정은 DEM과 토지피복도를 이용하고, G2D 모형의 입력은 수위, 수심 및 유량 등을 적용하였다. 가상강우는10분당3 mm로5시간동안모든격자에부여하였고, 가상 유량을 적용하여 지표면 침수해석 모의를 진행하였다. 또한 대상 지역의 침수해석 모델 실행 여부를 판단하기 위해 GPU 가속기법을 적용하였다. 모의 결과 고해상도 침수해석 시간의 대폭 단축 및 모의 시간별 시각적인 침수 판단을 위한 침수심을 생성할 수 있음을 확인하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2009년도 학술발표회 초록집
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• pp.540-544
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• 2009

Hydrologic pattern under climate change has been paid attention to as one of the most important issues in hydrologic science group. Rainfall and runoff is a key element in the Earth's hydrological cycle, and associated with many different aspects such as water supply, flood prevention and river restoration. In this regard, a main objective of this study is to evaluate design flood using simulation techniques which can consider a full spectrum of uncertainty. Here we utilize a weather state based stochastic multivariate model as conditional probability model for simulating the rainfall field. A major premise of this study is that large scale climatic patterns are a major driver of such persistent year to year changes in rainfall probabilities. Uncertainty analysis in estimating design flood is inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. A comprehensive discussion on design flood under climate change is provided.

• 대한공간정보학회지
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• 제18권3호
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• pp.97-104
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• 2010

홍수 시뮬레이션에서 중요한 요소는 강우량, 강우강도 등의 수리 수문자료와 3차원 지형모델, 수리학적 홍수 계산 모형으로 이 중 어느 한 정보의 정확도 및 신뢰성이 낮게 되면 홍수범람 예측 정보의 정확도 및 신뢰성의 확보가 어렵게 된다. 이에 본 연구는 기존 수치지도 및 현황도로 제작한 지형모델과 항공 LiDAR 데이터로 제작된 3차원 지형모델에 대하여 기존의 설계빈도별 홍수위에 따른 침수취약지역을 비교하여 3차원 지형모델의 정확도 차이로 인한 문제점을 분석하여 홍수 시뮬레이션에 대한 LiDAR데이터의 활용성을 제시하고자 하였다.

• 한국습지학회지
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• 제5권2호
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• pp.1-13
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• 2003

In Korea, most of the rainfalls have been concentrated in the flood season and the flood study has received more attention than low flow analysis. One of the reasons that the analysis of low flows has less attention is the lacks of the required data like daily rainfall and so we have used the stochastic processes such as pulse noise, exponential distribution, and state model of Markov chain for the rainfall simulation in short term such as daily. Especially this study will pay attention to the state model of Markov chain. The previous study had performed the simulation study by the state model without considerations of the flood and non-flood periods and without consideration of the frequency of rainfall for the period of a state. Therefore this study considers afore mentioned two cases and compares the results with the known state model. As the results, the RMSEs of the suggested and known models represent the similar results. However, the PRE(relative percentage error) shows the suggested model is better results.

• 물과 미래
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• 제23권4호
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• pp.499-507
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• 1990

홍수기중의 실시간 저수지 운영을 위해서는 매시간 on-line으로 입력된 자료와 예측치로부터 시간별 최적방류량을 구해야 한다. 이를 위해서 댐하류의 홍수피해를 최소화하고 홍수 말기의 용수보존을 고려하는 무의 모형의 기법을 발표한 바 있다. 본 논문에서는 홍수시의 대청댐의 단일저수지 운영을 위해 모형을 적용하고 결과를 검토하며, 과거의 측정된 유입량과 방류량자료도 검토한다. 초기저수위를 달리하여 각 재현 기간별 홍수수문곡선을 다루고, 강우유출 모형으로부터 얻은 예측유입량을 구하여 운영한 뒤에 실제값과 비교하였다. 연구결과에 의하면 예측유입량의 불확실성을 고려하기 위해 위험계수를 적용하면 홍수조절용량을 효율적으로 이용할 수 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.191-191
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• 2017

Floods have become more widespread and frequent among natural disasters and consisted significant losses of lives and properties worldwide. Flood's impacts are threatening socio-economic and people's lives in the Mekong River Basin every year. The objective of this study is to identify the flood hazard areas and inundation depth in the Mekong River Basin. A rainfall-runoff and flood inundation model is necessary to enhance understanding of characteristic of flooding. Rainfall-Runoff-Inundation (RRI) model, a two-dimensional model capable of simulating rainfall-runoff and flood inundation simultaneously, was applied in this study. HydoSHEDS Topographical data, APPRODITE precipitation, MODIS land use, and river cross section were used as input data for the simulation. The Shuffled Complex Evolution (SCE-UA) global optimization method was integrated with RRI model to calibrate the sensitive parameters. In the present study, we selected flood event in 2000 which was considered as 50-year return period flood in term of discharge volume of 500 km3. The simulated results were compared with observed discharge at the stations along the mainstream and inundation map produced by Dartmouth Flood Observatory and Landsat 7. The results indicated good agreement between observed and simulated discharge with NSE = 0.86 at Stung Treng Station. The model predicted inundation extent with success rate SR = 67.50% and modified success rate MSR = 74.53%. In conclusion, the RRI model was successfully used to simulate rainfall runoff and inundation processes in the large scale Mekong River Basin with a good performance. It is recommended to improve the quality of the input data in order to increase the accuracy of the simulation result.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.1174-1178
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• 2005

In this study, flood inundations have been simulated by using the numerical model FLUMEN solving the shallow-water equations with a finite volume method. Before applying to a real problem, the numerical model is first applied to simplified problems. Obtained numerical results are verified by comparing to available analytical solutions and laboratory measurements. Reasonable agreements are observed. The model is then applied to a simulation of flood events with real geometries. The results of the present study provide basic informations for a flood inundation map.

• 한국수자원학회논문집
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• 제39권4호
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• pp.347-362
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• 2006

본 연구에서는 하천 제방붕괴로 인한 제내지에서의 범람홍수의 전파양상을 효율적으로 계산할 수 있는 2차원 범람홍수모형을 개발하였다. 또한 범람모의를 위한 기본 입력자료 구축을 위해서 레이더 자료와 연계하였으며, 레이더 정량강우-홍수유출-범람해석에 대한 통합시스템을 구축하였다. 개발된 모형의 검증을 위해서 태풍 루사로 인한 감천 유역의 실제 제방붕괴 사례에 대한 적용을 실시하였으며, 범람모의를 위한 기본자료인 강우량을 산정하기 위해서 레이더 자료와 연계하였고, 지상의 강우관측자료와 최적으로 조합하기 위한 cokriging 기법을 적용하였다. 레이더와 연계한 2차원 정량강우량은 유역에서의 홍수량 산정을 위해 이용되었으며, 유역에서의 홍수량은 하도 및 제내지에서의 홍수범람모의를 위해 이용되었다. 모의결과는 실제 홍수흔적과 하천에서의 홍수위 자료 등과 비교하여 잘 일치되고 있음을 확인할 수 있었다.

• 한국농공학회논문집
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• 제65권1호
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• pp.41-49
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• 2023

To utilize the hydraulic and hydrological models when simulating floods in agricultural watersheds, it is necessary to consider agricultural reservoirs, farmland, and farmland drainage system, which are characteristics of agricultural watersheds. However, most of them are developed individually by different researchers, also, each model has a different simulation scope, so it is hard to use them integrally. As a result, there is a need to link each hydraulic and hydrological model. Therefore, this study established an integrated flood simulation system for the comprehensive flood simulation of agricultural reservoir watersheds. The system can be applied easily to various watersheds because historical weather data and the SSP (Shared Socio-economic Pathways) climate change scenario database of ninety weather stations were built-in. Individual hydraulic and hydrological models were coded and coupled through Python. The system consists of multiplicative random cascade model, Clark unit hydrograph model, frequency analysis model, HEC-5 (Hydrologic Engineering Center-5), HEC-RAS (Hydrologic Engineering Center-River Analysis System), and farmland drainage simulation model. In the case of external models with limitations in conceptualization, such as HEC-5 and HEC-RAS, the python interpreter approaches the operating system and gives commands to run the models. All models except two are built based on the logical concept.