• Title/Summary/Keyword: flood flow characteristics

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Evaluation of River Flood Stability after River Restoration (하천 복원 후의 홍수위 안정성 검토)

  • Kim, Byeong-Chan;Lee, Jong-Seok
    • The Journal of the Korea Contents Association
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    • v.9 no.10
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    • pp.417-426
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    • 2009
  • The eco-friendly river restoration issue has been increased and the importance of the vegetation along the river banks has been understood with its scenery and significant role. However vegetation reduces the stream flow cross section and brings negative effects such as increase of water flow resistance and decreases of river flow velocity. In this study, the method to choose roughness coefficient is studied in the sudden changed hydraulic characteristics by river restoration. Using the HEC-RAS model and the two-dimensional vertical analysis method, Yangjae stream was calculated that the roughness coefficient of the main channel is 0.011~0.159 after river restoration, 0.031 without vegetation on the flood plain, and 0.034~0.506 with vegetation on the flood plain. The level of water in the river is predicted to rise 0.13~0.34m at 30% of vegetation density increase.

Three-dimensional Numerical Analysis of Dam-break Waves on a Fixed and Movable Bed (고정상 및 이동상 수로에서 댐 붕괴파의 3차원 수치해석)

  • Kim, Dae Geun;Hwang, Gun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.4B
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    • pp.333-341
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    • 2011
  • This study analyzed the propagation of dam-break waves in an area directly downstream of a dam by using 3D numerical modeling with RANS as the governing equation. In this area, the flow of the waves has three dimensional characteristics due to the instantaneous dam break. In particular, the dam-break flows are characterized by a highly unsteady and discontinuous flow, a mixture of the sharp flood waves and their reflected waves, a mixture of subcritical and supercritical flow, and propagation in a dry and movable bed. 2D numerical modeling, in which the governing equation is the shallow water equation, was regarded as restricted in terms of dealing with the sharp fluctuation of the water level at the dam-breaking point and water level vibration at the reservoir. However, in this 30 analysis of flood wave propagation due to partial dam breaking and dam-break in channels with $90^{\circ}$ bend, those phenomena were properly simulated. In addition, the flood wave and bed profiles in a movable bed with a flat/upward/downward bed step, which represents channel aggradation or degradation, was also successfully simulated.

A Case Study on Disaster and Characteristics of Debris Flows by Heavy Localized Rainfall of Gangwon Areas in July, 2006 (2006년 강원지역 토석류의 특성과 피해현황분석)

  • Song, Pyung-Hyun;You, Byung-Ok;Jung, Chan-Gyu;Ahn, Kwang-kuk;Lee, Cheo-kun
    • 기술발표회
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    • s.2006
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    • pp.146-155
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    • 2006
  • A study for damage degree and reduction programs of disaster was performed after collecting and analyzing the damage data by the type of flood damage resulting from the localized rainfall Gangwon area has been damaged by heavy localized rainfall between July 15 and 17 in 2006 Specially, a number of people was killed and much properties were lost in Inje, Yangyang and Pyeongchang area Recently, the damages by debris flow has been increased more than any other disaster causes, because heavy rainfall closed to about 100mm/hr by global warming in short time has been developed frequently. In other words, an area forming a highland has a potential debris flow Therefore, in this study, the damages data by debris flow in the area of Inje and Yangyang were collected and analyzed to consider the type of flood damage In future, it must be tried to find a complementary solution and establishing management system for debris flow when the civil construction begins

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River streamflow prediction using a deep neural network: a case study on the Red River, Vietnam

  • Le, Xuan-Hien;Ho, Hung Viet;Lee, Giha
    • Korean Journal of Agricultural Science
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    • v.46 no.4
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    • pp.843-856
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    • 2019
  • Real-time flood prediction has an important role in significantly reducing potential damage caused by floods for urban residential areas located downstream of river basins. This paper presents an effective approach for flood forecasting based on the construction of a deep neural network (DNN) model. In addition, this research depends closely on the open-source software library, TensorFlow, which was developed by Google for machine and deep learning applications and research. The proposed model was applied to forecast the flowrate one, two, and three days in advance at the Son Tay hydrological station on the Red River, Vietnam. The input data of the model was a series of discharge data observed at five gauge stations on the Red River system, without requiring rainfall data, water levels and topographic characteristics. The research results indicate that the DNN model achieved a high performance for flood forecasting even though only a modest amount of data is required. When forecasting one and two days in advance, the Nash-Sutcliffe Efficiency (NSE) reached 0.993 and 0.938, respectively. The findings of this study suggest that the DNN model can be used to construct a real-time flood warning system on the Red River and for other river basins in Vietnam.

Conjunctive Numerical Model of Surface Runoff and River Flow (지표면-하천 유출의 연계 수치모형)

  • Yu, Dong-Hun;Lee, Jeong-Yeong
    • Journal of Korea Water Resources Association
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    • v.34 no.1
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    • pp.91-103
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    • 2001
  • In this studs, hydraulic routing model has been developed to predict the water level and discharge in each river section with considering the full interaction between surface runoff and river flow. It improved the computation of flood runoff by reflecting the shape of hydrograph that was determined by the geological and flood characteristics, and the excessive computation of the peak discharge was eliminated by considering the effect of infiltration. The Inflow from surface runoff to river flow was applied to the equation of continuity by implementing effectively the flow in a number of river section, and resulted in a numerical stability at the rapid variation of rainfall. Measurements were conducted during heavy rain in the watershed area of Yang-Yang Namdae-Chun. The present model was tested to the field, and the computed results were compared to the observed data. Its applicability was confirmed with its verification.

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Flood Stage Analysis and Prediction of River Bed Change for Stream Corridor Restoration Model with River Vegetation (하천식생 복원모형의 홍수위 분석과 하상변동 예측)

  • Song, Joong-Geun;Kim, Byeong-Chan;Lee, Jong-Seok
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.437-441
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    • 2009
  • The modern times is as special as from the river, the river is very important of our life. The importance to preserve the river environment has been issued and the river developing method is being changed to use potential function of nature as well as flood control. Essential element of the river restoration is a vegetation. The flow resistance by vegetation along the river banks is greatly increase the flood stage. Therefore, the flow resistance due to vegetation in the river and roughness coefficient changes to understand the hydraulic characteristics is an important elements in the river restoration. The purpose of this study is to analyze the flood stage and the aspects of riverbed changes due to the corridor restoration with river vegetation. In order to simulate the flood stage and riverbed changes, HEC-RAS, RMA-2, and SED-2D model were applied for the upstream and downstream in study reaches, respectively.

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Flow Simulation in a Meandering Channel using a 2-dimensional Numerical Model (이차원 수치모형을 이용한 사행하도 흐름모의)

  • Lee, Haegyun;Lee, Namjoo
    • The Journal of the Korea Contents Association
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    • v.13 no.5
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    • pp.485-492
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    • 2013
  • The point sand bars of Hahoi Village on Nakdong River have undergone considerable changes including fluvial and vegetation characteristics due to flood regulation by the dams constructed upstream. In this study, the numerical fluvial/sediment and water quality model, KU-RLMS, is applied to the aquatic area near Hahoi Village (middle/upper region of the Nakdong River) for clarifying the mechanisms of changes in hydraulic and aquatic characteristics. The fixed-bed hydraulic experiment was carried out for horizontal two-dimensional numerical model. The numerical simulation reveals that flow is accelerated near the left bank of Booyongdae downstream of the Hahoi Village area. Circulatory flow pattern was observed at the right bank downstream of Hahoi Village. The simulation was in good agreement with the hydraulic/physical experiment. For the discharge of design flood, at the area of circulatory flow pattern, the superelevation of about 1.0 m at the right bank was predicted compared to the left bank of high flow velocity, which is also in good agreement with hydraulic experiment.

Characteristics of Inflow Water Quality Variations and Pollutants Transport in Imha Reservoir during a Rainfall Event (강우시 임하호 유입수 수질변동과 오염물질의 공간적 이동 특성)

  • Lee, Heung Soo;Shin, Myung Jong;Yoon, Sung Wan;Chung, Se Woong
    • Journal of Korean Society on Water Environment
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    • v.29 no.1
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    • pp.97-106
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    • 2013
  • The temporal and spatial variations of water quality in a stratified reservoir are fully dependent on the characteristics of inflow loading from its watershed and the transport regimes of pollutants after entering the reservoir. Because of the meteorological and hydrological conditions in Korea, the pollutants loading to reservoirs are mostly occur during rainfall events. Therefore it is important to understand the characteristics of pollutants loading from upstream rivers and their spatial propagation through the stratified reservoir during the rainfall events. The objectives of this study were to characterize the water quality variations in upstream rivers of Imha Reservoir during a rainfall event, and the transport and spatial variations of pollutants in the reservoir through extensive field monitoring and laboratory analysis. The results showed that the event mean concentration (EMC) of SS, BOD, $COD_{Mn}$, T-N, T-P, $PO_4-P$ are 8.6 ~ 362.1, 2.5 ~ 5.1, 1.5 ~ 5.1, 1.1 ~ 1.9, 8.3 ~ 57.1, 5.6 ~ 25.7 times greater than the mean concentrations of these parameters during non-rainfall period. The turbidity and SS data showed good linear correlations, but the relationships between flow and SS showed large variations because of hysteresis effect during rising and falling periods of the flood. The ratio of POC to TOC were 12.6 ~ 14.7% during the non-rainfall periods, but increased up to 28.2 ~ 41.7% during the flood event. The turbid flood flow formed underflow and interflow after entering the reservoir, and delivered a great amount of non-point pollutants such as labile and refractory organic matters and nutrients to the metalimnion layer of reservoir, which is just above the thermocline. Spatially, the lateral variations of most water quality parameters were marginal but the vertical variations were significant.

Verification of Two Dimensional Hydrodynamic Model Using Velocity Data from Aerial Photo Analysis (항공사진분석 자료를 이용한 2차원 하천흐름 해석모형의 검증)

  • Seo, Il Won;Kim, Sung Eun;Minoura, Yasuhisa;Ishikawa, Tadaharu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.6B
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    • pp.515-522
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    • 2011
  • The hydrodynamic models are widely used in the research for analysis of flow characteristics and design of hydraulic structure and river channel. These models need to be calibrated with observed data. But, there are few field data of two-dimensional flow velocity in flood because the direct measurement of the flood flow velocity are very dangerous. For this reason the results of two-dimensional numerical models are usually calibrated and verified with only a few observed data. Moreover, the verification of numerical models for the design flood is usually carried out using the result of one-dimensional model, HEC-RAS. In this study, using the flow velocity profile extracted from the aerial photos of a flood of the Tone River in Japan, two-dimensional numerical models, RAM2 in RAMS, RMA2 in SMS, and one-dimensional numerical model, HEC-RAS which are most widely used in research and design work are verified and the validity for verification of two-dimensional models with HEC-RAS is reviewed. The results showed that the water surface elevation of HEC-RAS, RAM2 and RMA2 models have similar results with observed data. But, the velocity results of RAM2 and RMA2 models in the floodplain have some difference with the velocity from aerial photo analysis. And the velocity result of HEC-RAS has big difference with the sectional averaged value of velocity from aerial photo analysis.

Investigation of Flow Characteristics of Sharply Curved Channels by Using CCHE2D Model (CCHE2D모형을 이용한 급만곡부의 흐름특성 분석)

  • Kim, Yeon-Su;Jang, Chang-Lae;Lee, Gi-Ha;Jung, Kwan-Sue
    • Journal of the Korean Society of Hazard Mitigation
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    • v.10 no.5
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    • pp.125-133
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    • 2010
  • In general, curved bends raises a risk of overtopping due to floods and also threatens a bank safety due to a local flow concentration. This study aims to test the applicability of CCHE2D model for experimental flumes with two different types of bends and then investigate flow characteristics in the sharply-curved bend of a natural channel. The results demonstrated that the percent error of water level was within 4.9% for experimental flume applications and the simulated spatial distribution of velocity matched the observed results very closely. The calibrated model based on the experimental flumes was also applied to analyze the flow characteristics in natural channel bends of the Daeyu reach, located in a downstream of the Youngdam Dam. The results showed that in upstream, the simulated water level by the CCHED was observed at 1.5 m higher than the 1-D numerical model (HEC-RAS) result since the HEC-RAS could not represent the bend geometry effect on streamflow. However, the calculated results by several empirical formula support that the CCHE2D is suitable for the super elevation simulation as well as flood stage and velocity in a natural channel bend.