• Title/Summary/Keyword: Manning's coefficient

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Unsteady Flow Model with Variable Roughness Coefficient (가변 조도계수 부정류 계산모형)

  • Kim, Han- Joon;Jun, Kyung- Soo
    • Journal of Korea Water Resources Association
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    • v.37 no.12
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    • pp.1055-1063
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    • 2004
  • An unsteady flow model is developed that allows variable roughness coefficient for each computational point according to its spatial position and the discharge. A step function or a power function can be used for functional relation between the discharge and the Manning's roughness coefficient. The model is applied to the reach of the South Han River between the Chungju Dam and Paldang Dam, and model parameters are estimated by optimization. Estimated parameters of both the step function model and the Power function model show that Manning's roughness coefficient decreases as the discharge increases. This tendency is more noticeable for the upstream reach of Yeoju compared to the downstream reach. It turns out that the stages calculated by the variable roughness coefficient model agree better with the observed ones than those by the conventional fixed parameter model.

Variation of Manning's Coefficient due to Interval of Multi-Piers in Tunnel (터널내 다열기둥의 배치간격에 따른 Manning계수의 변화)

  • Yoon, Sung-Bum;Kwon, Kab-Keun;Lee, Sang-Min;Kim, Hyung-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.542-545
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    • 2007
  • 터널의 노면 양쪽에 관로를 설치하여 유입된 지하수를 배출시키는 방법은 일반적인 터널 배수공법이지만 배수관로의 설치를 위한 추가적인 굴착은 공사기간과 공사비의 상승으로 이어지는 실정이다. 이에 터널 내에 별도의 배수관로 굴착 없이 노면 하부에 다열기둥을 일정 간격으로 매설하여 지하수의 흐름방향을 노면 하부로 유도시키는 경제적인 배수시스템이 현재 연구 중이다. 이 터널배수시스템은 추가적 굴착이 없어 기존의 배수시스템보다 경제적이지만 다열기둥의 연속적인 배치를 필요로 하므로 기존의 관로배수방식보다 더 많은 유체의 흐름저항을 받게 된다. 따라서 유체의 흐름에 효율적인 다열기둥 간의 배치간격에 대한 연구가 필요하다. 그래서 본 연구에서는 노면 하부에 다열기둥이 매설된 터널 내로 유입하는 지하수 배출을 목적으로 다열기둥 간의 배치간격에 따른 Manning계수의 변화를 수리실험을 통해 측정 분석하였다. 특히 Manning계수는 개수로에서 유체흐름 저항의 정도를 파악하는 데 이용되는 인자로 이를 활용하여 지하수 배수에 적절한 다열기둥 배치간격을 산정하였다. 본 연구를 통해 얻어진 수리실험 자료는 노면하부에 다열기둥을 매설하는 터널공사의 실제 설계를 위한 기초적인 참고자료로 사용될 것으로 기대된다.

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Risk Model for the Safety Evaluation of Dam and Levee: II. Application (댐 및 하천제방에 대한 위험도 해석기법의 개발 : II. 적용 예)

  • Han, Geon-Yeon;Lee, Jong-Seok
    • Journal of Korea Water Resources Association
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    • v.30 no.6
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    • pp.691-698
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    • 1997
  • The risk assessment model for dam and levee is applied to a river where two adjacent dams are located in the upstream of the watershed. "A" dam is proven to be safe with 200-year precipitation and unsafe with PMP condition, whereas "B" dam to be safe with 200-year precipitation and PMP condition. The computed risk considering the uncertainties of the runoff coefficient. initial water depth and relevant data of the dam and spillway turn out to be equivalent results in Monte-Carlo and AFOSM method. In levee risk model, this study addresses the uncertainty of water surface elevation by Manning's equation. Monte-Carlo simulation with the variations of Manning's roughness coefficient is calculated by assuming that it follows atriangular distribution. The model can be used for preparing flood risk maps, flood warning systems, and establishing nation's flood disaster protection plan.

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Derivation of Roughness Coefficient Relationships Using Field Data in Vegetated Rivers (식생하천의 현장자료를 이용한 조도계수 관계식 유도)

  • Lee, Jong-Seok;Julien, Pierre Y.;Kim, Jae-Hoon;Lee, Tae-Woo
    • Journal of Korea Water Resources Association
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    • v.45 no.2
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    • pp.137-149
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    • 2012
  • Field measurements of resistance to flow are analyzed for 739 rivers vegetated with grass (281 channels), shrubs (150 channels) and trees (308 channels). The measured distribution of Manning roughness coefficients ranges from 0.015~0.250 for grass, 0.016~0.250 for shrubs, 0.018~0.310 for trees. Significant trends are obtained between Darcy-Weisbach (or Manning roughness coefficients) and flow discharge, friction slope, and relative submergence. The regression equations for Darcy-Weisbach and Manning roughness coefficients in vegetated rivers are: $f_{veg}=0.436Q^{-0.363}$, $f_{veg}=3.305S_f^{0.508}$, and $n_{veg}=0.061Q^{-0.124}$, $n_{veg}=0.144S_f^{0.199}$, $V=5.3(h/d_{50})^{1/8.3}{\sqrt{ghS_f}}$, $\sqrt{8/f}(=V/u*)=5.75log(5h/d_{50})$, respectively. These semi-empirical relationships should be useful for hydraulic engineering practice.

Calculation of Abnormality Large Flood Discharge Destroying the Songcheon Stage Guaging Station by the RUSA in 2002th Year (2002년 루사로 인하여 송천 수위국을 붕괴시킨 이상 홍수량의 규모 결정)

  • Yoo, Ju-Hwan;Kim, Joo-Cheol
    • Journal of the Korean Society of Hazard Mitigation
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    • v.3 no.3 s.10
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    • pp.165-171
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    • 2003
  • An abnormal storm by the typhoon of RUSA in 2002th year was broken out with tremendous flood demages and inundations on the basin of Chogangcheon located in the upper middle part of Guem river's upstream. This flood could not be engaged because it was so big that the stage engaging Songcheon station stuck to Songcheon bridge was destroyed by submerging. In this study the quantity of the flood was calculated by use of Manning's equation and suitable roughness coefficient was suggested.

Calculation of Roughness Coefficient in Gravel-bed River with Observed Water Levels (실측 수위에 의한 자갈하천의 조도계수 산정)

  • Kim, Ji-Sung;Lee, Chan-Joo;Kim, Won
    • Journal of Korea Water Resources Association
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    • v.40 no.10
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    • pp.755-768
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    • 2007
  • The purpose of this study is to analyse the characteristics of Manning's roughness coefficient according to change of discharge by using observed data obtained from a stable gravel-bed river and to investigate the applicability of the relevant existing empirical methods to it. Observed water level and discharge data are used as input data for the USGS computer program NCALC model for calculation of the roughness coefficient. Calculated values are compared with roughness values which are estimated with four widely used methods. The results show that though the empirical methods are able to give similar roughness values only for flood flow, they seem to have rather high uncertainty because of necessity of subjective judgement and differences of resultant values. Roughness coefficients for normal-low flow cannot be estimated from the existing empirical formulae. Especially, using the Manning equation for calculating them should be careful as this provides a wide range of estimated values in normal-low flow. The relations between the roughness coefficient and characteristic size of bed materials are different from them in flood flow even though they have a close relations.

Estimation of Channel Roughness Coefficients in the Han River Using Unsteady Flow Model (부정류 모형을 이용한 한강 하류부 하도의 조도계수 산정)

  • Kim, Won;Kim, Yang-Soo;Woo, Hyo-Seop
    • Water for future
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    • v.28 no.6
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    • pp.133-146
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    • 1995
  • Manning's roughness coefficient for the Han River (from Paldang dam to Indo Bridge) is estimated by one-dimensional unsteady flow model, NETWORK. The entire river is divided into two regions, one region of Paldang dam to Kwangjang, and another region of Jamsu Bridge to Indo Bridge, and changes of the roughness coefficient according to changes in discharge are estimated using data of the past flood events. Estimated roughness coefficients are compared with previous results. Finally, the stage variation according to the variation of channel roughness is presented.

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Evaluation of Parameters in Hydrodynamic Model (동수역학모형의 매개변수 산정)

  • Yun, Tae-Hun;Lee, Jong-Uk;Jagal, Sun-Dong
    • Journal of Korea Water Resources Association
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    • v.33 no.1
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    • pp.39-50
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    • 2000
  • Generally speaking, a hydrodynamic model needs a friction coefficient (Manning coefficient or Chezy coefficient) and eddy viscosity. For numerical solution the coefficients are usually determined by recursive calculations. The eddy viscosity in numerical model plays physical diffusion in flow and also acts as numerical viscosity. Hence its value has influence on the stability of numerical solution and for these reasons a consistent evaluation procedure is needed. By using records of stage and discharge in the downstream reach of the Han river, I-D models (HEC-2 and NETWORK) and 2-D model (SMS), estimated values of Manning coefficient and an empirical equation for eddy viscosity are presented. The computed results are verified through the recorded flow elevation data.n data.

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Development of Longitudinal Dispersion Coefficient Based on Theoretical Equation for Transverse Distribution of Stream-Wise Velocity in Open Channel : Part II. Longitudinal Dispersion Coefficient (개수로에서 흐름방향 유속의 횡분포 이론식에 기반한 종분산계수 개발 : II. 종분산계수)

  • Baek, Kyong Oh
    • Journal of Korea Water Resources Association
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    • v.48 no.4
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    • pp.299-308
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    • 2015
  • The aim of this study is that a theoretical formula for estimating the one-dimensional longitudinal dispersion coefficient is derived based on a transverse distribution equation for the depth averaged stream-wise velocity in open channel. In "Part I. Theoretical equation for stream-wise velocity" which is the former volume of this article, the velocity distribution equation is derived analytically based on the Shiono-Knight Method (SKM). And then incorporating the velocity distribution equation into a triple integral formula which was proposed by Fischer (1968), the one-dimensional longitudinal dispersion coefficient can be derived theoretically in "Part II. Longitudinal dispersion coefficient" which is the latter volume of this article. The proposed equations for the velocity distribution and the longitudinal dispersion coefficient are verified by using observed data set. As a result, the non-dimensional longitudinal dispersion coefficient is inversely proportional to square of the Manning's roughness coefficient and the non-dimensional transverse dispersion coefficient, and is directly proportional to square of the aspect ratio (channel width to depth).

Analysis of Roughness Coefficient in Gravel-bed Rivers (자갈하천의 조도계수 특성 분석)

  • Lee, Chan Joo;Kim, Yong Jeon;Kim, Ji Sung;Kim, Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.2B
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    • pp.149-157
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    • 2010
  • The purpose of this study is to analyse characteristics of roughness coefficient based on bed-material size of the gravel-bed rivers using field data obtained from nine domestic rivers. Roughness coefficient is calculated using Manning's equation. Roughness coefficient decreases with increasing discharge, but above a certain discharge, it tends to be constant. Similarly, roughness coefficient shows reverse relationship with relative smoothness (R/D). The regression equation adopting theoretically derived value of 2.03 as log coefficient indicates close similarity with the previous equation proposed by Limerinos (1970). Roughness coefficient values converged above certain discharges lie in the range from 0.024 to 0.045. From them, empirical equations based only on bed-material size are derived and compared with those suggested by the previous studies.