본 연구에서는 사행하는 자연하천에 유입된 오염물질의 2차원 확산 특성을 모의하기 위하여 2차원 수심적분 모형인 RMA2와 RMA4를 사용하였다. 먼저 2차원 동수역학적인 모형인 RMA2를 사용하여 흐름장을 모의한 후 이 결과를 2차원 수질모형인 RMA4에 입력하여 농도장을 모의하였다. 수치모형을 S자형 사행수로에서 측정한 흐름 및 추적자 농도자료를 이용하여 검증한 결과, RMA4 모형은 최대유속선이 만곡의 내측에 치우쳐 나타나는 현상을 잘 모의하고 있었으며, RMA4 모형은 오염운의 전반적인 확산 특성과 분리 현상을 적절하게 모의하고 있었다. 수치모형을 실제 하천에 적용하여 현장 실험 결과를 비교한 결과, RMA2 모형은 전체적인 흐름 특성 및 만곡의 외측 제방으로 치우치는 최대유속선의 경향 등을 잘 모의하였으며, RMA4모형은 오염운이 최대유속선을 따라 이동하는 경향 등을 적절하게 재현하는 것으로 밝혀졌다. 본 연구에서 분산계수는 실측 농도분포로부터 계산한 값을 미세 조정하여 사용하였으며, 이는 기존의 추정식에 의한 추정치와도 잘 부합하는 것으로 밝혀졌다.
본 연구에서는 사행하는 자연하천에 유입된 오염물질의 2차원 확산 특성을 모의하기 위하여 2차원 수심적분 모형인 RMA2와 RMA4를 사용하였다. 먼저 2차원 동수역학적인 모형인 RMA2를 사용하여 흐름장을 모의한 후 이 결과를 2차원 수질모형인 RMA4에 입력하여 농도장을 모의하였다. 수치모형을 S자형 사행수로에서 측정한 흐름 및 추적자 농도자료를 이용하여 검증한 결과, RMA4 모형은 최대유속선이 만곡의 내측에 치우쳐 나타나는 현상을 잘 모의하고 있었으며, RMA4 모형은 오염운의 전반적인 확산 특성과 분리 현상을 적절하게 모의하고 있었다. 수치모형을 실제 하천에 적용하여 현장 실험 결과를 비교한 결과, RMA2 모형은 전체적인 흐름 특성 및 만곡의 외측 제방으로 치우치는 최대유속선의 경향 등을 잘 모의하였으며, RMA4모형은 오염운이 최대유속선을 따라 이동하는 경향 등을 적절하게 재현하는 것으로 밝혀졌다. 본 연구에서 분산계수는 실측 농도분포로부터 계산한 값을 미세 조정하여 사용하였으며, 이는 기존의 추정식에 의한 추정치와도 잘 부합하는 것으로 밝혀졌다.
In this study, RMA2 and RMA4, the 2-D depth-averaged models, were employed to simulate the two-dimensional mixing characteristics of the pollutants in the natural streams. The velocity and depth were first calculated using RMA2, 2-D hydrodynamic model, and then the resulting flow field was inputted ...
In this study, RMA2 and RMA4, the 2-D depth-averaged models, were employed to simulate the two-dimensional mixing characteristics of the pollutants in the natural streams. The velocity and depth were first calculated using RMA2, 2-D hydrodynamic model, and then the resulting flow field was inputted to RMA4, 2-D water quality model, to compute the concentration field. RMA models were verified using the velocity and concentration data measured in S-curved meandering channel. The results showed that the RMA2 model simulated well the phenomenon that the maximum velocity line is located at the Inner bank of meandering channel, and the RMA4 model was well adapted to reproduce the general mixing behavior and the separation of tracer clouds. Comparing model simulations with measured data in the field experiments, RMA2 model simulated well general flow field and tendency that the maximum velocity line skewed toward the outer bank which were found in field experiments. The simulations of RMA4 model showed that the center of the tracer cloud tends to follow the path in which the maximum velocity occurs. In this study, the dispersion coefficients are fine-tuned based on the measured coefficients calculated using field concentration data, and the results show reasonable agreement with predictive equations.
In this study, RMA2 and RMA4, the 2-D depth-averaged models, were employed to simulate the two-dimensional mixing characteristics of the pollutants in the natural streams. The velocity and depth were first calculated using RMA2, 2-D hydrodynamic model, and then the resulting flow field was inputted to RMA4, 2-D water quality model, to compute the concentration field. RMA models were verified using the velocity and concentration data measured in S-curved meandering channel. The results showed that the RMA2 model simulated well the phenomenon that the maximum velocity line is located at the Inner bank of meandering channel, and the RMA4 model was well adapted to reproduce the general mixing behavior and the separation of tracer clouds. Comparing model simulations with measured data in the field experiments, RMA2 model simulated well general flow field and tendency that the maximum velocity line skewed toward the outer bank which were found in field experiments. The simulations of RMA4 model showed that the center of the tracer cloud tends to follow the path in which the maximum velocity occurs. In this study, the dispersion coefficients are fine-tuned based on the measured coefficients calculated using field concentration data, and the results show reasonable agreement with predictive equations.
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King, I.P. and Norton, W.R. (1978). 'Recent application of RMA's finite element models for two-dimensional hydrodynamics model and water quality.' in Finite Elenment in Water Resources, Brebbia, C.A. et al. (eds.), Pentech Press, pp. 281-299
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