• Title/Summary/Keyword: Manning roughness

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A Study on a Roughness Coefficient of Representative River in Korea (국내 대표하천의 조도계수 산정 연구)

  • Park, Hyun-Jin;Ha, Tae-Min;Lee, Jong-Kyu;Cho, Yong-Sik
    • 한국방재학회:학술대회논문집
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    • 2010.02a
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    • pp.95.2-95.2
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    • 2010
  • 조도계수는 자연하천의 흐름해석에 사용되는 매우 중요한 변수로서, 하천의 단면, 하상입자들의 크기 및 형상, 식생, 수로단면의 변화, 수로의 만곡, 수위와 유량 등 매우 복합적인 요소의 영향을 받는 경험적 매개변수이다. 일반 자연하천에서는 유량이 적어질 경우 하천구간 내 여울이나 보의 영향으로 수면 불연속 흐름이 발생할 가능성이 커지기 때문에 수리학적 모형을 이용하여 조도계수를 산정할 경우 계산 구간 내 수면 불연속 구간에서 부정확한 조도계수가 산정되는 한계가 있다. 따라서 본 연구에서는 여울이나 장애물이 존재하지 않는 대표하천을 선정하여 대표적인 특성을 갖는 하천에 대하여 평 갈수기 조도계수를 산정하였다.

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Identification of Manning's Roughness in 1D nonuniform flow (최적화 기법을 이용한 1차원 부등류에서의 매닝조도계수 추정)

  • Lee, Du-Han;Rhee, Dong-Sup;Kim, Myoung-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.679-683
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    • 2010
  • 본 연구에서는 공간적 변수인 조도계수를 기지의 수위값을 이용하여 최적값을 결정하는 방법에 대해서 검토하고자 한다. 최적화 기법에 의한 조도계수는 기지의 수위값과 수치모의에 의한 결과 값의 전체 오차를 최소화하는 값으로 결정된다. 본 연구에서는 3가지 최적화 기법을 이용하였으며 가상 수로에 대해서 적용하였다. 수위계산은 표준축차법에 의해 수행하였으며 사용된 최적화 기법은 quasi-Newton 방법이다. 1차원 모형은 Matlab을 이용하여 표준축자법으로 구성하였으며 BFGS 기법, L-BFGS 기법, Steepest Gradient Descent 기법 등도 Matlab으로 구성하였다. 표준축차법은 조도계수가 입력되면 기지의 수위값과의 2-norm을 계산하도록 구성하였다. 계산 결과에 의하면 세가 기법 모두 20 23회 정도의 반복계산을 수행하고 값이 수렴되었는데, L-BFGS의 경우에는 정확하게 음수의 조도계수로 수렴하였으며, BFGS기법과 Steepest Gradient 기법의 경우에는 양의 값으로 정확하게 수렴하였다.

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Improvement of flood simulation accuracy based on the combination of hydraulic model and error correction model

  • Li, Li;Jun, Kyung Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.258-258
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    • 2018
  • In this study, a hydraulic flow model and an error correction model are combined to improve the flood simulation accuracy. First, the hydraulic flow model is calibrated by optimizing the Manning's roughness coefficient that considers spatial and temporal variability. Then, an error correction model were used to correct the systematic errors of the calibrated hydraulic model. The error correction model is developed using Artificial Neural Networks (ANNs) that can estimate the systematic simulation errors of the hydraulic model by considering some state variables as inputs. The input variables are selected using parital mutual information (PMI) technique. It was found that the calibrated hydraulic model can simulate flood water levels with good accuracy. Then, the accuracy of estimated flood levels is improved further by using the error correction model. The method proposed in this study can be used to the flood control and water resources management as it can provide accurate water level eatimation.

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A Study on Trapping Efficiency of the Non-point Source Pollution in Cheongmi Stream Using VFSMOD-w (VFSMOD-w 모형을 이용한 청미천 유입 비점오염물 저감효율 연구)

  • Son, Minwoo;Byun, Jisun;Yoon, Hyun-Doug;Jung, Tae-Hwa
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.140-150
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    • 2016
  • This study aims to investigate the effect of vegetation type, length of vegetative filter strip, and rainfall on trapping efficiency of the non-point source water pollution. Numerical experiments are carried out using VFSMOD-w. It is known from this study that the vegetation having the same value of revised Manning roughness coefficient shows the similar trapping efficiency in VFSMOD-w. When the length of vegetative filter strip increases twice, the trapping efficiency increases negligibly small under the same condition of rainfall. From this finding, it is also known that most of sediment are removed within a certain length of vegetative filter strips. It is concluded that the installation of vegetative filter strip is determined under the consideration of the rainfall characteristics, space of vegetation, and length of vegetative filter strip.

Hydraulic Model for Real Time Forecasting of Inundation Risk (실시간 범람위험도 예측을 위한 수리학적 모형의 개발)

  • Han, Geon-Yeon;Son, In-Ho;Lee, Jae-Yeong
    • Journal of Korea Water Resources Association
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    • v.33 no.3
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    • pp.331-340
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    • 2000
  • This study aims to develop a methodology of real time forecasting of mundation risk based on DAMBRK model and Kalman filter. The model is based on implicit, nonlinear finite difference approximatIons of the one-dimensional dynamic wave equations. The stochastic estimator uses on extended Kalman filter to provide optimal updating estimates. These are accomplished by combining the predictions of the determurustic model with real time observauons modified by the Kalman filter gain ractor. Inundation risks are also estimated by applying Monte Carlo simulation to consider the variability in cross section geometry and Manning's roughness coefficient. The model calibrated by applying to the floods ot South Han River on September, 1990 and August, 1995. The Kalman tilter model indicates that significant improvement compared to deteriministic analysis in flood routing predictions in the river. Overtopping risk of levee is also presented by comparing levee height with simulated flood level. level.

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Estimation of Muskingum-Cunge Parameters for Natural Streams (자연하천에 대한 Muskingum-Cunge 모형의 매개변수 산정)

  • Kim, Jin-Soo;Jun, Kyung-Soo
    • Journal of Korea Water Resources Association
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    • v.43 no.2
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    • pp.233-243
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    • 2010
  • A method is proposed of estimating Muskingum-Cunge parameters for natural streams using cross-sectional and longitudinal channel geometry and roughness coefficient data. Firstly, for various water-surface levels at a cross section cross-sectional areas and hydraulic radii are calculated. Corresponding discharges are then calculated using Manning's equation. This procedure is repeated for all cross-sections in the reach. Finally, routing parameters are estimated from the calculated cross-sectional area and discharge value pairs by regression analysis. The procedures for estimating Muskingum-Cunge parameters are applied to the South Han River. Flows calculated by Muskingum-Cunge model with estimated parameters showed much better agreement with those by dynamic wave model in peak discharge, time to peak discharge, and normalized RMS errors than those calculated by the HEC-1 Muskingum-Cunge model.

Hydraulic Flood Routing using Linear Reservoir Model (선형저수지모형을 적용한 수리학적 홍수추적)

  • Jeon, Min-Woo;Cho, Young-Soo
    • Journal of Korea Water Resources Association
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    • v.35 no.6
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    • pp.787-796
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    • 2002
  • Hydraulic flood routing was performed for unsteady flow in a natural river using Preissmann scheme. A Log-Pearson Type-Ⅲ hydrograph is chosen arbitrarily as the upstream boundary condition and lateral inflow hydrographs for sensitivity analysis. For the application with an actual river system, upstream and lateral inflow hydrographs were estimated by the linear reservoir model and the Manning's equation was used as the downstream boundary condition. The unsteady flow model using the linear reservoir model as the inflow hydrographs was applied to Bochung stream basin and gives good results, and is approved to be used for the runoff prediction. As results of the sensitivity analysis, the proposed model may help to estimate the roughness coefficients when using the unsteady flow model with lateral inflow combined with the linear reservoir model.

Reconsideration of evaluating design flood level at Imjin River estuary (임진강 하류 감조구간에서 홍수위 산정 재고)

  • Park, Chang Geun;Baek, Kyong Oh
    • Journal of Korea Water Resources Association
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    • v.50 no.9
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    • pp.617-625
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    • 2017
  • In this study, it was examined that a methodology for evaluating the design flood level reasonably at Imjin River estuary affected by the tide periodically. First of all, the change of the flood level was observed by performing unsteady simulation which can take into account the characteristics of the tidal rivers. And the variations of the flood level was analyzed by change of the Manning's roughness coefficient which is sensitive to the water level calculation. The results were compared with the design flood level at Imjin River estuary announced in the 2011 Imjin River Basic Plan Report. For reference, the design flood level reported in 2011 has been calculated by using a section of a huge riverbed dredging section as input data. From the simulation results, it was found that the flood level evaluated by this study was able to satisfy the freeboard of the levee without the riverbed dredging when the roughness coefficient was assigned to the same value as that of the Han river estuary in the calculation of the flood level, and the unsteady flow simulation was carried out to reflect on the tidal river.

Conveyance Analysis of Downstream of the Soyang Reservoir Considering the Influence of Vegetation (소양강 댐 직하류 하천의 식생 영향에 의한 통수능 분석)

  • Noh, Joonwoo;Shin, Hyunho;Kim, Hojoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6B
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    • pp.533-540
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    • 2010
  • Recently management of vegetation distributed in the watercourse is very important not only for safety but also for river restoration. In general, vegetations in the watercourse increase hydraulic resistance and accordingly decrease conveyance capacity which may yield levee overflow. This paper simulates water level rise using 1D and 2D hydro dynamic model to check the possibility of overflow in downstream of the Soyang Reservoir by assigning different roughness coefficient corresponding to different types of vegetation. In this study, 3 different vegetation types of tree, shrub, and main channel were considered and corresponding Manning's roughness coefficient n was assigned based on the vegetation map generated from the site investigation. As results, the water level raised about 0.1 to 0.7 m comparing with the case without considering vegetation and a proper measurements is necessary where overflow occurs due to low level levee.

Review of Roughness Coefficient Characteristics for Rivers in Korea (실측 자료를 이용한 국내하천의 조도계수 특성검토)

  • Kim, Joo-Young;Kim, Han-Sup;Lee, Jong-Kyu
    • Journal of Korea Water Resources Association
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    • v.44 no.9
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    • pp.695-710
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    • 2011
  • Manning's roughness coefficients for the Han River, the Nakdong River and the Geum River were determined by the hydraulic models using their field measurements. The roughness coefficients of present study were compared with the ones of the conventional references. The hydraulic models, such as HEC-2, HEC-RAS and FLDWAV models, are usually applied to a river flow analysis. In order to compute the accurate flood level with the numerical models, accurate information about river sections, the upstream and downstream boundary conditions, and the appropriate roughness coefficients are indispensable. It is hard to obtain the reasonable roughness coefficient of the river, in the other hand the river cross sectional data and the boundary conditions are relatively easy to acquire. The coefficient values from the references are applied in many applications without considering the variation of locations and discharges of the river, or the values are unreasonably estimated. The final results from this study will give a reasonable and important data to perform the flood routing in the Korea river.