• Title/Summary/Keyword: 무차원 와점성계수

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Lateral Eddy Viscosity for Open-Channel Flows through Emergent Vegetation (정수식생 개수로 흐름에서 횡방향 와점성 계수)

  • Lee, Jin-Hwi;Choi, Sung-Uk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.74-78
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    • 2012
  • 본 연구는 하천에서 식생에 의한 흐름구조 변화가 오염물질 이동에 미치는 영향을 알아보기 위해 흐름방향 확산계수를 산정하였다. 정수식생 조건에서 횡방향 수심적분된 와점성계수는 비식생 조건에서의 와점성계수와 다르게 적용되어야 하며 이를 위해 유량 횡분배법을 Jordanova and James (2003) 실험에 적용하였다. 제시된 실험조건을 잘 재현하는 와점성계수의 값을 역산하였으며, 이에 관한 산술평균 값을 향후 수리모형의 적용을 위해 정수식생 조건에서의 무차원 와점성계수로 제안하였다. 결정된 무차원 와점성계수를 이용하여 부분식생 개수로 흐름에서 흐름방향 확산계수를 산정하여 오염물질의 이동에 대한 특성을 분석하였다.

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Modeling Paddlewheel-Driven Circulation in a Culture Pond (축제식 양식장에서 수차에 의한 순환 모델링)

  • KANG Yun Ho
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.34 no.6
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    • pp.643-651
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    • 2001
  • Paddlewheel-driven circulation in a culture pond has been simulated based on the depth integrated 2 dimensional hydrodynamic model. Acceleration by paddlewheel is expressed as shaft force divided by water mass discharged by paddlewheel blades. The model has been calibrated and applied to culture ponds as following steps:- i) The model predicted velocities at every 10 m along longitudinal direction from the paddlewheel. The model was calibrated comparing the results with the measured values at mass correction factor $\alpha$ and dimensionless eddy viscosity constant $\gamma$, respectively, in a range $15\~20$ and 6. ii) Wind shear stress was simulated under conditions of direction $0^{\circ}C,\;90^{\circ}C\;and\;180^{\circ}C$ and speed 0.0, 2.5, 5.0 and 7.5 m/s. Change rate of current speed was <$1\%$ at wind in parallel or opposite direction to the paddlewheel-driven jet flow, while $4\%$ at orthogonal angle. iii) The model was then applied to 2 culture ponds located at the Western coast of Korea. The measured and predicted currents for the ponds were compared using the regression analysis. Analysis of flow direction and speed showed correlation coefficients 0.8928 and 0.6782 in pond A, 0.8539 and 0.7071 in pond B, respectively. Hence, the model is concluded to accurately predict circulation driven by paddlewheel such that it can be a useful tool to provide pond management strategy relating to paddlewheel operation and water quality.

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